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Financial support for part-time students
Focus of faculty research: | Solid state electronics and optics; communications, control, signal process; sensors and integrated circuitry; software systems; artificial intelligence; hardware systems |
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Externally sponsored research expenditures last year: | 27,408,652 |
Study In Usa > Colleges In Usa > UMich > Programs > Ph.D[Computer Science and Engineering]
Stem course.
This course focuses on Science, Technology, Engineering, or Mathematics subjects, offering a deep dive into these fields to enhance your knowledge and skills in STEM disciplines.
Field of Study :
₽9,743,998 /Yr
Event | Application Date |
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Application Deadline For Fall 2025 Intake |
Year | 1st Year Fees |
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Tuition Fees | ₽9743998 (USD 106550) |
Head | Avg Cost Per Year |
---|---|
Room and Board | ₽1509108 |
International differential fee | ₽45725 |
Total Cost | ₽1554833 |
All Michigan Engineering doctoral students are guaranteed full funding, provided they continue to meet all the milestones on the path to their doctorate. The package includes:
Academic Eligibility:
Indian Eligibility:
Due to the coronavirus pandemic, GRE scores for this admissions cycle are neither required nor expected.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
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The following required documents are:
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Program | Important Date | Total Fees | Median Exams Score | Action |
---|---|---|---|---|
Application Deadline For Fall 2025 Intake (1st Dec 2025) | RUB 9,743,998 /Yr | 6.5 88 | ||
Application Deadline For Fall Intake (1st Dec 2024) | RUB 4,535,920 /Yr | 7.0 100 310 70 | ||
Application Deadline For 2025 Intake (15th Dec 2024) | RUB 4,526,775 /Yr | 7.0 100 70 | ||
RUB 5,887,551 /Yr | 7.0 90 | |||
Application Deadline For Fall Intake (15th Dec 2024) | RUB 2,343,406 /Yr | 6.5 95 54 |
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PhD in USA: Fees 2024, Top Colleges, Placements & Salaries
Career opportunities are:
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Scholarship per student₽ 3.7 L/Yr$4,000 | Level Of StudyApprenticeship | TypeMerit-Based | ||
Scholarship per studentVariable Amount | Level Of StudyApprenticeship | TypeTuition-Fee-Waiver | ||
Scholarship per student₽ 91,450/Yr$1,000 | Level Of StudyApprenticeship | TypeCollege-Specific | ||
Scholarship per student₽ 3.2 L/Yr$3,500 | Level Of StudyBachelor | TypeMerit-Based | ||
Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | ||
Scholarship per student₽ 45.7 L/Yr$50,000 | Level Of StudyDoctorate | TypeMerit-Based |
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"Yes, I submitted SoP, 3 LoRs, CV. Interview for the PhD program was technical - questions about my field, and past projects. No implementation questions were asked, only conceptual. " My advisor is my most preferred advisor in my field, university also ranks well in terms of rankings and reputation. Overall experience has been really good. It is filled with diverse learning opportunities both inside and outside the classroom. The vibrant campus life, and supportive faculty, fostered an environment of growth and discovery. We can also engage in various clubs and organizations which helps develop leadership skills. Research collaboration opportunities are immense, this helps me as a PhD student to understand various perspectives of a problem I am trying to work on.
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Com.pu.ter sci.ence.
To conduct research to develop new methods, architectures, and algorithms in order to solve complex problems, then invent the future by developing the vast array of applications that operate within these frameworks.
Why cs at michigan, institutional ranking in cs at csrankings.org, award-winning faculty, in research funding, the cs program at michigan is one of the oldest and most respected in the world, u-m alumni have received the am turing award, considered the “nobel prize” of computing, technical rigor and relevance interdisciplinary, teamwork, and entrepreneurial opportunities, learn more about the cs advance selection process, what do computer scientists do.
We understand how to design and analyze algorithms, how to store and retrieve information, how computers function, and how to develop software systems that solve complex problems. We master these skills and suddenly, we have an incredible power to create: to make something unprecedented, something noteworthy, something entirely ours, all using our ever-trusty sidekicks – computers.
Computer hardware, design the circuits and architectures, such as microprocessors, memories, and storage devices, for advanced computing systems..
Courses: Logic Design, Embedded System Design, VLSI Design, Computer Architecture, Logic Circuit Synthesis & Optimization
Develop the software systems that dictate how computers, networks, data centers, and applications handle and process data..
Courses: Operating Systems, Compiler Construction, Database Management Systems, Computer Networks, Distributed Systems
Develop systems that can autonomously collect, analyze, and respond to their environments and other external stimuli..
Courses: Computer Vision, Machine Learning, Autonomous Robotics Design Experience, Informational Retrieval & Web Search, Artificial Intelligence
Operate in the abstract- build the tools and systems that are used to store, retrieve, process, and display data for users...
Courses: Object Oriented & Advanced Programming, Operating Systems, Database Management Systems, Web Systems, User Interface Development, Computer Game Design & Development
Study the foundations of computing and push its limits through the development of new classes of algorithms, data structures, and cryptography...
Courses: Cryptography, Algorithms, Programming Languages
Build websites, user interfaces, and computing applications used for advertising, publishing, e-commerce, online games, chats, graphs, and so much more..
Courses: Practical Programming in Java, Computer Security, Web Systems, Informational Retrieval & Web Search
Areas in which a student, through the use of technical and free electives, and in consultation with their advisor, could decide to focus.
Sequential undergraduate/graduate studies program (sugs).
Complete your bachelor’s and master’s degrees in only five years with SUGS by taking some graduate-level classes during your undergraduate years, so you can save yourself one semester and complete the masters with only two additional semesters.
Individualized schedules will be made by students in consultation with an advisor who will tailor their classes to better fit the student's needs.
Apply the skills you are learning in class to the real world.
Wolverine soft - video game development, maav - michigan autonomous aerial vehicles, mdst - michigan data science team, michigan electric racing, mrover - michigan mars rover, solar car team, um::autonomy - autonomous boat, starx - strength augmenting robotic exoskeletons, students for the exploration and development of space, spark - electric racing, grid alternatives, professional development, eta kappa nu - honor society, girls in eecs, michigan hackers, msail - michigan student artificial intelligence laboratory, ieee - institute for electrical and electronics engineers, online security and privacy, detecting bias in ai, election security, making touchscreens more accessible, evaluating the energy consumption of ai, precision health in the palm of your hand, alumni biographies, each of these alumni are real people who were once in your shoes, deciding a major. explore their path and how a michigan education set their life in motion..
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Prepare for an advanced career in computer science.
Graduate programs in the Michigan Tech Department of Computer Science pave the way to exciting, well-compensated career opportunities. You'll be well-prepared through Michigan Tech's high-quality educational experience, which blends fundamentals, cutting-edge technologies, and innovative research.
Computer Science faculty and students apply computational approaches to solve significant hardware, software, and data problems across a wide range of disciplines. Students have many rich opportunities to conduct leading-edge research in a friendly, collegial atmosphere. You will find us working on research in artificial intelligence, machine learning, data science, big data, internet of things, biometrics, computer and network security, human-computer interaction, and more.
Our students and graduates are in high demand by state, national, and international companies. And our alumni are active throughout the nation and worldwide, developing innovative technologies and solving hard multidisciplinary problems.
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This option requires a research thesis prepared under the supervision of the advisor. The thesis describes a research investigation and its results. The scope of the research topic for the thesis should be defined in such a way that a full-time student could complete the requirements for a master’s degree in 12 months or three semesters following the completion of coursework by regularly scheduling graduate research credits.
The minimum requirements are as follows:
Option Parts | Credits |
---|---|
Coursework (minimum) | 20 Credits |
Thesis research | 6-10 Credits |
Total (minimum) | 30 Credits |
Distribution | Credits |
---|---|
5000-6000 series (minimum) | 12 Credits |
3000-4000 (maximum) | 12 Credits |
Programs may have stricter requirements and may require more than the minimum number of credits listed here.
The CS Department allows up to 6 of the 30 hours of credit required for graduation to be in CS5990. In addition to completing the 30 hours of credit in approved courses (including CS5990 and up to 3 hours of CS5999 credit though not more than 9 total hours may be taken in CS5990 and CS5999), a student following the thesis option is expected to:
This option requires a report describing the results of an independent study project. The scope of the research topic should be defined in such a way that a full-time student could complete the requirements for a master’s degree in twelve months or three semesters following the completion of coursework by regularly scheduling graduate research credits.
Of the minimum total of 30 credits, at least 24 must be earned in coursework other than the project:
Option Parts | Credits |
---|---|
Coursework (minimum) | 24 Credits |
Report | 2-6 Credits |
Total (minimum) | 30 Credits |
The project option allows up to 6 of the 30 hours of credit required for graduation to be in CS5990. In addition to completing the 30 hours of credit in approved courses (including CS5990 and up to 3 hours of CS5999 credit), a student following the project option is expected to: present written and oral project reports at the conclusion of the project. Thus, the student should:
This option requires a minimum of 30 credits be earned through coursework. A limited number of research credits may be used with the approval of the advisor, department, and Graduate School. See degree requirements for more information.
A graduate program may require an oral or written examination before conferring the degree and may require more than the minimum credits listed here:
Distribution | Credits |
---|---|
5000-6000 series (minimum) | 18 Credits |
3000-4000 (maximum) | 12 Credits |
To complete a doctoral degree, students must complete the following milestones:
The minimum credit requirements are as follows:
Degrees | Credits |
---|---|
MS-PhD (minimum) | 30 Credits |
BS-PhD (minimum) | 60 Credits |
Individual programs may have higher standards and students are expected to know their program's requirements. See the Doctor of Philosophy Requirements website for more information about PhD milestones and related timelines.
The PhD student must complete:
Many University-related and external funding options are available to graduate students. Accepted PhD students are automatically considered for Graduate Teaching Assistantships. Check out available CS department Graduate Research positions . In addition, find an extensive list of resources to aid students in finding additional funding on the Michigan Tech Graduate School website.
I chose MTU for my graduate degree because of the great relationships I made with the professors in my undergrad. People actually care about you at MTU and you are not just a number. The welcoming environment at Computing[MTU] brings with it opportunities and a bright future.
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Gre prep online guides and tips, graduate school acceptance rates: can you get in.
Even the most qualified and confident applicants worry about getting into grad school. But don’t panic! Graduate school acceptance rates, which give the percentage of applicants that were admitted to a particular school or program in an academic year, can help you determine how likely you are to get into a given program. But where can you find grad school admissions statistics?
In this article, we’ll first investigate the trends and factors associated with graduate school acceptance rates. Then, we’ll take a look at some of the current acceptance rates and give you expert tips on how to find acceptance rates for your programs. Finally, we’ll show you how to determine your odds of getting into grad school.
Grad school acceptance rates are the same as any other acceptance rate: the lower the acceptance rate, the more selective the school or program is. Similarly, the higher the acceptance rate, the less selective the school or program is. As with undergrad acceptance rates, grad school acceptance rates vary widely, from extraordinarily selective (less than 5 percent) to incredibly lenient (nearly 100 percent).
Unlike undergrad rates, though, grad school acceptance rates are usually calculated for specific programs or departments and not for entire universities. This is because with grad school, you are essentially applying to an individual program rather than an overall institution (as you did for undergrad).
Now that we’ve covered all of the basics, let’s look at a few key trends. Our research indicates there are three major factors that help determine grad school acceptance rates:
Let’s look at how each of these factors influences grad school acceptance rates.
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How prestigious a particular grad school or program is can affect its overall competitiveness and selectivity. In general, the more prestigious a program is, the more competitive it’ll be and thus the lower acceptance rate it’ll have.
An easy way to determine school or program prestige is to consult official rankings, such as those listed on U.S. News . (Grad schools are typically ranked by field or program and not by overall institution.)
For example, a 2017 U.S. News list of the best political science grad programs ranked Duke’s political science program at #7 and Northwestern’s at #23. Because both of the programs have fairly high rankings, it’s safe to assume they’re probably quite selective.
And this is true: in 2016, Duke reported a mere 10 percent acceptance rate to its political science doctoral program, while Northwestern reported a 12 percent acceptance rate.
Another major factor is degree type. Generally, doctoral programs tend to be more selective than master’s programs (though this isn’t always the case as I’ll explain in a moment). This trend is likely due to the fact that doctoral programs often look for higher-quality applicants with proven academic track records and more relevant experience in their fields.
For example, in 2016 University of Michigan’s math doctoral program had a 17.2 percent acceptance rate, whereas its master’s program had a much higher 31.8 percent rate. In this case, the doctoral program is clearly tougher to get into than the master’s program.
Still, master’s programs can have lower acceptance rates than doctoral programs. If we were to take the University of Michigan’s grad programs in computer science and engineering, we’d find that the doctoral program has a 15 percent acceptance rate and the master’s an even lower 8 percent acceptance rate .
Additionally, M.F.A. programs are particularly cutthroat. In 2015, the creative writing M.F.A. program at UT Austin’s James A. Michener Center for Writers only admitted 12 out of 678 applicants — that’s a mere 1.8 percent acceptance rate !
Funding, too, plays a big role in how selective a grad program is.
Well-funded programs typically receive more applications than those offering little to no aid, thereby raising their selectivity. Competition is especially fierce for fully funded programs — possibly because fewer people are willing to go into debt for grad school.
Compared to fully funded doctoral programs, fully funded master’s programs are somewhat rare and thus pretty competitive. UT Austin’s Creative Writing M.F.A. program, for instance, is not only a prestigious program but also one of the most well-funded Creative Writing M.F.A. programs in the country: it offers full tuition remission and a $27,500 stipend per academic year . It’s no wonder, then, that its acceptance rate is below 2 percent!
For this section, we’ve scoured the internet to bring you a robust assortment of acceptance rates for popular U.S. grad schools.
Before we dive in, note that not all institutions calculate grad school acceptance rates using the same methodologies. Some offer only a single acceptance rate for all of their grad schools put together, while others offer individual rates by school, field, or program.
Now, let’s see how selective these schools really are!
Cornell | (2016) | Computer Science Ph.D.: 16.4% English Language and Literature Ph.D.: 13.2% History Ph.D.: 14% |
Dartmouth | (2016) | Arts and Sciences: 30% Thayer School of Engineering (M.S. and Ph.D.): 15% Tuck School of Business: 22% |
Duke | (2016-17) | Computer Science M.S.: Computer Science Ph.D.: English Ph.D.: History Ph.D.: |
Harvard | Business School | (2015) |
John A. Paulson School of Engineering and Applied Sciences | (2014) | |
T.H. Chan School of Public Health | Master of Public Health (M.P.H.): (2014) | |
MIT | All grad admissions | (2016) |
NYU | (2014-17)* | Accounting Ph.D.: 2.1% Economics Ph.D.: 2% Marketing Ph.D.: 2.2% |
Northwestern | (2016) | Arts and humanities: Life sciences: Physical sciences, mathematics, and Engineering: Social and behavioral sciences: |
(2016) | Arts and humanities: Life sciences: Physical sciences, mathematics, and Engineering: Social and behavioral sciences: | |
Notre Dame | (2013) | Computer Science and Engineering Ph.D.: English Ph.D.: History Ph.D.: |
Princeton | (2016-17) | Humanities: 11% Natural Sciences: 15% School of Architecture: 13% School of Engineering and Applied Science: 13% Social Sciences: 8% Woodrow Wilson School of Public and International Affairs: 13% |
Stanford | Graduate School of Business | (2015) |
UC Berkeley | College of Engineering | (2014) |
UCLA | (2009-13) | Computer Science M.S. and Ph.D.: English Ph.D.: History Ph.D.: |
University of Michigan – Ann Arbor | (2016) | Computer Science and Engineering Ph.D.: 15% English Language and Literature Ph.D.: 16.4% History Ph.D.: 16.9% |
(2016) | Computer Science and Engineering M.S.: 8% Creative Writing M.F.A.: 3.7% Master of Public Administration (M.P.A.): 71.1% | |
University of Texas – Austin | (2015-16) | English Ph.D.: 11.5% History Ph.D.: 16.6% |
University of Washington – Seattle | (2016) | Arts: 17% Humanities: 20.4% Sciences: 18.6% Social sciences: 22.8% |
Yale | School of Engineering & Applied Science | (2014) |
*Statistics for NYU are based on the number of enrolled students and not the number of admitted students. Therefore, expect actual acceptance rates to be slightly higher.
Unfortunately, grad school admissions statistics tend to be more difficult to find than undergrad acceptance rates. But there are ways to search for them — you just have to do a lot of digging and possibly a little reaching out.
Below are our top four methods for finding grad school acceptance rates for the programs you’re applying to.
By far the most reliable resources for grad school admissions statistics are school websites.
Start your search by consulting program and departmental pages, particularly admissions and FAQ pages. Look out for any statistics-related keywords or phrases, such as “admission(s) rates,” “acceptance rates,” “enrollment,” “facts and figures,” etc. Use ctrl+F to move swiftly through large chunks of text.
Not all schools publish grad admissions information online, and those that do don’t always report it in the same way as others. For example, Princeton offers a handy PDF containing acceptance rates for all academic fields of study. On the other hand, Notre Dame gives separate admissions charts for each of its grad programs (which you can access by selecting a program and then clicking “Admissions Statistics”).
Additionally, many schools release admissions statistics without explicitly publishing acceptance rates. In this case, it’s your job to take the statistics provided and use them to calculate an acceptance rate. To find the acceptance rate of a school or program, you’ll need the following information:
The acceptance rate equals the total number of applicants offered admission divided by the total number of applicants and then multiplied by 100, or:
$$\acceptance \rate = {\number \of \applicants \offered \admission}/{\total \number \of \applicants}100$$
Be sure to avoid conflating the number of students who were offered admission with the number of students who accepted their offers of admission. These two concepts sound alike but are actually different. What you’re looking for is the first statistic — that is, the number of admitted students (regardless of whether they decided to enroll).
If you’re having trouble finding admissions statistics by browsing school websites, search on Google for “[Your School] graduate acceptance rate” and see if any relevant school pages appear. While searching for acceptance rates to use in the table above, I consistently swapped “acceptance rate” with similar phrases, such as “admission(s) rate,” “facts and figures,” “student statistics,” “admittance rates,” and “admission(s) statistics.”
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Don’t be afraid to get creative! You can also use phrases like “Ph.D. admissions statistics” or “master’s admissions statistics” to narrow your search even further. Try to think outside the box as you do your research. What are other ways people talk about acceptance rates?
If your school or program doesn’t offer any admissions statistics on its website, go to U.S. News . This website offers official rankings of grad programs as well as lists of the most (and least) selective programs in various fields.
For example, I found a 2016 list of the most competitive online M.B.A. programs and a 2015 list of the most competitive online graduate engineering programs .
If U.S. News doesn’t offer any relevant lists for you to use, try skimming the current grad school rankings to gauge how competitive your program is compared with others in the same field.
One less reliable method for looking up grad school admissions statistics is to look for (unofficial) websites discussing acceptance rates for your school or program.
The Grad Cafe’s admissions results section is a solid place to start. Here, applicants post whether they’ve been accepted, rejected, or waitlisted for grad programs.
Search for your program to get a rough feel for how many acceptances and rejections go out each year. You might notice that certain types of applicants are more active than others. Creative Writing M.F.A. applicants, for example, are prolific posters in winter and spring (during admissions season).
Occasionally, Google itself will provide you with grad school acceptance rates, but this only appears to work consistently for well-known law schools, medical schools, and business schools.
Additionally, while using Google, don’t assume that any acceptance rates that pop up are directly connected to your search terms. For example, when I searched “stanford graduate acceptance rate,” Google gave me this result:
This 4.8 percent acceptance rate is not the acceptance rate for Stanford’s grad programs (what I searched for) but rather the acceptance rate for undergrads. So always cross-check any statistics Google gives you.
You can also consult grad school data websites such as Peterson’s and StartClass . Take their grad school acceptance rates with a grain of salt, though — their data isn’t always verifiable online. If possible, try to compare any data you find on these types of websites with the school websites themselves or U.S. News .
If the internet isn’t giving you the help you need, call or email your schools. Be polite but upfront: ask whether the school calculates acceptance rates for grad programs and where you can find this information online (if available).
If a school refuses to divulge admissions statistics or simply doesn’t report acceptance rates, see if they can give you estimates for how many applications they receive each year, or for how many acceptances they usually extend to applicants in your program.
By this point, you might be wondering how likely it is you’ll actually get into the grad program you wish to attend. After all, acceptance rates are pretty broad — they tell you what everyone’s odds are but not your odds specifically.
Below are three easy steps for determining your odds of getting into grad school, including advice on when it’s better to go for it or choose another program.
First, go to your program’s website and pinpoint the admissions requirements page. Now, ask yourself: do you meet all of the program’s basic requirements? If not, you’ll likely wind up with a rejection (and might not even be able to apply).
However, if you’re still interested in applying, contact the program and ask if they’ll make an exception for you. Your chance of getting accepted is still low, but you’ll at least have your application considered.
If your program strongly recommends qualities you lack, don’t interpret this as an automatic rejection. Sometimes, applicants can make up for deficiencies in other ways. For example, if your undergrad GPA is 3.1 and your program recommends applicants have a minimum 3.2, don’t write off the program — you might still have a shot at getting in as long as the rest of your application is solid.
On the other hand, even if you meet all of a program’s requirements, you’re not necessarily a shoo-in. Remember, all other applicants have met these requirements, too, so you’ll need to find a unique way to make your application stand out.
Your next step is to look up your program’s average GRE scores and GPA to see how your own scores and GPA compare with those of previously admitted applicants.
You can usually find GRE score information on admissions requirements or FAQ pages. You can also search on Google for “[Your School] [Your Program] average GRE scores.” For step-by-step instructions on how to find average GRE scores, check out my article on average GRE scores by school .
For GPAs, you can use the same basic methodology. Check admissions requirements and FAQ pages and use ctrl+F to search for “GPA.” If GPA information is available, you’ll most likely come across minimum GPAs or average GPAs (or both). For more tips on how to find GPA information for your grad schools, read our guide .
Now, compare your own GRE scores and GPA with the averages you’ve found. Below are all possible scenarios and what they mean for you and your odds of getting into the program:
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Now, we get to the final question: do you apply to the program or not? This is a vague question that’s difficult to answer as is. The real questions you should be asking yourself are as follows:
Although acceptance rates and GRE/GPA comparisons are helpful, don’t base your decision to apply solely on how difficult the program is to get into. We can’t know for sure what kind of applicant a grad program is looking for or who they’re willing to make an exception for.
Take a moment to think deeply about how interested you are in this particular program. Be realistic about your chances of getting in — but don’t cross the line into pessimism. If you don’t meet most or all of a program’s expectations and you’re not super invested in it, consider applying elsewhere.
But if you meet some, most, or all of a program’s expectations and you’re extremely interested in enrolling, give the application a go. Remember, it’s totally normal (and even encouraged) to have a few reach schools. Plus, you’ll never get in if you don’t apply!
Grad school acceptance rates quantify for us the selectivity of grad schools and programs. More specifically, acceptance rates tell us what percentage of applicants were offered admission to a particular grad school or program.
With grad school, acceptance rates are often reported for individual schools or programs, not entire universities. Acceptance rates can vary widely depending on program prestige, the type of degree you’re seeking, and how much (or how little) funding a program offers.
Unlike undergrad acceptance rates, grad school acceptance rates are somewhat difficult to locate online. You can look for them using any of the following four methods:
When trying to determine your odds of getting into a program, look at your program’s requirements as well as the average GPA and GRE scores of previously admitted applicants to your program. If your GRE scores and GPA are comparable to those of your program, you have a decent shot at getting accepted. If one or both are lower than your program’s averages, however, you can always try to raise your GRE score with a retake or address your GPA in your statement of purpose.
At the end of the day, what ultimately matters isn’t that you get accepted to a highly competitive grad program but that you make the right decision for you and you alone!
Need help with your grad school application? Learn about the most common grad school requirements and get tips on how to write a grad school CV or resume !
Is your GPA good enough for grad school ? Read our in-depth guide to learn how you can make up for a less-than-stellar GPA and ultimately raise your chances of getting into the school of your dreams.
Do you have to take the GRE for grad school ? When are grad school deadlines ? Check out our guides for answers to these questions and more.
Hannah graduated summa cum laude from the University of Southern California with a bachelor’s degree in English and East Asian languages and cultures. After graduation, she taught English in Japan for two years via the JET Program. She is passionate about education, writing, and travel. View all posts by Hannah Muniz
The Rackham Graduate School and the graduate program work as a team to manage the application review process. As an applicant, you will be interacting with both offices.
Applicants must first consult the program website for degree options and specific requirements for admission. The program website is the official source of information for application requirements. Programs establish their own requirements and timeline for the application review. If the graduate program website is different from Rackham’s website, follow the graduate program’s website instructions. Review the Programs of Study page for program website and contact information , including dual degree and certificate options.
The graduate program will make a decision on your application and notify both you and Rackham. If you are recommended for admission, Rackham will confirm that you meet the minimum admission requirements and finalize the offer. Review the Admission and Matriculation Policy for eligibility. Applicants are not admitted until they receive an email from Rackham with the offer of admission.
Our Dearborn campus has its own application process. Please visit the UM-Dearborn page for more information.
Our Flint campus has its own application process. Please visit the UM-Flint page for more information.
Current and previous rackham students.
While reviewing applications, we never decide based on single data points: we always consider the applicant as a whole. While high test scores can help in consideration, we focus on those we feel would be a good match at Michigan.
An engineering background is recommended but not required for the Robotics Program, although we have found that the lack of an engineering background puts students at a disadvantage as they begin their graduate studies. In general, our Admissions Committee is most interested in undergraduate and graduate academic performance, research experience, letters of recommendation (with particular attention to letters coming from faculty in relevant fields) and the academic statement of purpose.
Admission to the graduate program is determined by the faculty. The Rackham Graduate School acts as the administrative body overseeing the admissions process.
If at any point in the application and admissions process you require help or clarification, please contact our Student Services Office at [email protected].
To begin completing an application:
After you have created an account, review the Rackham Graduate School Application Checklist .
The items needed in order for your application to be considered complete are:
Graduate applications are accepted for the fall term only and is currently open for submission. Applications must be complete by the deadline, applications received after the deadline will not be considered . All materials are due as follows:
Typically, admission decisions will be rolling with the notification goals noted below:
Please review funding for PhD and master’s students.
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For applications for Fall 2023 and beyond, GRE scores will not be accepted with PhD applications. For applicants to the MS program, submitting GRE scores is optional. MS applicants are welcome to submit GRE scores, but they are not required to do so. Read more on GRE scores .
You may apply to an additional program after you have completed and submitted the application for one program – you cannot work on two applications at the same time. You must submit the application, fee, and some required materials including online transcripts, and letters of recommendation for each program separately. Any materials you upload with the online application must be uploaded with each application separately. See the Rackham website for additional details.
Graduate credits may be transferred to Master’s degree programs only. Generally, up to 6 credits may be transferred, providing they meet program requirements. Please refer to the Rackham Graduate School Transfer of Credit Policy for regulations for transfer of credit into the Master’s degree program.
If you need to determine your residency status, please see the Residency Clarification Guidelines , at the Registrar’s website.
If you are a current Rackham graduate student at the University of Michigan, you may apply to change from one graduate program to another within the Graduate School.
If you are applying to the Ph.D. program, we recommend that you contact faculty whose research is of interest to you. In addition to the quality of your application, our Admissions Committee takes into account the abilities of our faculty to mentor additional students in their labs. A Ph.D. applicant will only be admitted if there is a match of interest with faculty member(s).
In addition, we hold an invitation-only Visit Day for PhDs, however:
An engineering background is recommended but not required for admission into our program, with many students coming from mechanical engineering, electrical engineering, and computer science.
In general, our admissions committee is most interested in academic performance, research experience, letters of recommendation, and the academic statement of purpose.
No. If we are not able to admit you to our PhD program, you will automatically be considered for admission into our master’s program.
It typically takes 3-4 (Fall/Winter) semesters to complete the degree but depends on how many credits are taken per term.
For applications for Fall 2023 and beyond, GRE scores will not be accepted with PhD applications. Applicants to the MS program are welcome to submit GRE scores but they are not required to do so.
The PhD application deadline is December 1, and the master’s application deadline is January 15.
If you have questions about applying to our program or about Michigan Robotics in general, please contact:
Robotics Student Services Office [email protected]
Additional information on criteria for admissions and degree programs is available on the Rackham Admissions site .
The EECS Department is one of the leading departments of its kind in the nation. Our excellence and impact comes through in the work of the two departmental divisions: Computer Science and Engineering; and Electrical and Computer Engineering. In our unique structure, we have two Chairs, one for each division.
Home of one of the oldest and most respected programs in computation in the world, CSE is known for its engaging academics and high-impact interdisciplinary research. Our inclusive, supportive environment welcomes newcomers and underrepresented groups into this exciting discipline.
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ECE faculty and students are powering innovation by revolutionizing technologies to improve healthcare, the environment, sustainability, security, energy, transportation and space. All ECE programs, undergraduate and graduate, are ranked in the top 10 in the nation.
Explore ECE >
Established. Respected. Making a world of difference. EECS undergraduate and graduate degree programs are considered among the best in the country. Our research activities, which range from the nano- to the systems level, are supported by more than $75M in funding annually — a clear indication of the strength of our programs and our award-winning faculty. With this combination of great resources and talent, EECS at Michigan is transforming and improving a wide range of fields that touch all of our lives.
Computer science & engineering.
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Prof. Cyrus Omar and PhD student David Moon describe their work to design more intuitive, interactive, and efficient coding environments that can help novices and professionals alike focus on the bigger picture without getting bogged down in bug fixing.
The World’s Smallest Computer, developed by Prof. David Blaauw, helped yield new insights into the survival of a native snail important to Tahitian culture and ecology and to biologists studying evolution, while proving the viability of similar studies of very small animals including insects.
CSE Events > ECE Events >
The machine was used by Prof. J. Alex Halderman for election cybersecurity research, and in a demonstration during which then-Senator Kamala Harris voted on it.
The award will support Makar’s work to develop machine learning models that leverage causal reasoning to detect and manage chronic pain.
Welcome to ECE’s five new faculty members, bringing expertise in the areas of computer vision, cyber-physical systems, machine learning and AI, energy storage, HCI, and personalized medical…
CSE News > ECE News >
KRISTEN THORNTON [email protected] 3403 EECS 734-647-1758 Graduate Student Advising >
ECE Grad Handbook> ECE Program Manual > EE Manual (Fall 2015 or earlier)> EE:Systems (Fall 2015 or earlier) > Thesis Proposal Instructions > Thesis Proposal Form >
EECS Drop Deadlines > Candidacy Deadlines > Rackham Doctoral Degree Info > UMich Academic Calendar >
Completing a Plan of Study form allows you to plan your courses to make sure you meet all the degree requirements. As you complete the form, please refer to the following information:
You must apply prior to the examination date .
Application instructions will be emailed to you from the ECE Graduate Coordinators approximately 1 month before each deadline.
September 2024 Quals : September 3 – September 23
January 2025 Quals : January 09 – January 27
May 2025 Quals : May 5 – May 23
Step 1: Complete coursework
Step 2: Take and pass Qualification Exam
Step 3: Advance to Candidacy
Step 4: Complete Thesis Proposal
Step 5: Complete Dissertation
The complete doctoral requirements can be found in the program guide. See the Rackham Doctoral Degree Policies for more info.
In order to encourage timely completion of the degree, University policy requires doctoral students to register every Fall and Winter term until their degree is completed, with very few exceptions. That is, doctoral students cannot take time off from their studies, or pursue the later stages of their degree without registering, except in special circumstances.
About the program.
The Computer and Information Science master's degree program is designed to prepare students for professional practice, as well as further studies and research in the computing field. The program offers a 30-credit hour curriculum consisting of required core courses and technical electives.
The department schedules all CIS courses during late afternoons or evenings to enable students to earn their master's degree through part-time study. The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.
All courses have access to a wide variety of computing resources: local area networks, as well as the Game and Multimedia Environment Laboratory.
Depending on the option chosen, the program requires students to take four courses from two of the seven following specialization areas: computer graphics, geometric modeling and game design; computer networks and security; database management and analytics; software engineering; systems software; and web computing.
Students with an interest in pursuing doctoral studies or working in a research and development environment are encouraged to elect the thesis option.
For general program information and questions please contact the Program Coordinator: Kimberly LaPere ( [email protected] ) . For specific curriculum questions, please contact the program director: Dr. Jinhua Guo (jinhua@ umich.edu). If you have questions about the application process, deadlines, tuition, scholarships and assistantships, and other questions please contact the Office of Graduate Studies ( [email protected] ) .
Learning goals.
Applicants for the ms in cis are required to meet the following requirements:.
A bachelor's degree from an accredited institution with a grade point average of "B" or better. Applicants who do not meet the minimum GPA requirements may be offered admission. Admission in such cases will depend heavily on other indices of the student's ability to handle graduate-level work. These might include strong performance on standardized tests, GPA in the major, and/or other experiences that are clearly indicative of strong academic ability.
Preference will be given to students with a background in Computer and Information Science and Computer Engineering.
International applicants, applicants whose native language is not English or who have received their bachelor's or master's degree from outside the United States, Australia or England please refer to the following English Proficiency requirements.
Applicants who lack eligibility requirements in coursework have the opportunity to make up the deficiencies by completing appropriate courses within two years from the date of entrance. These courses may not be used to satisfy degree requirements. There is also an option to do the required coursework through the Personal Enrichment Program at undergraduate rates. Applicants can inquire about the Personal Enrichment Program through the University of Michigan-Dearborn Undergraduate Admissions Office (1145 UC, 313-593-5100).
Cis 310 - computer organization.
To satisfy the requirements for the MS degree in Computer and Information Science, all students admitted to the program are expected to complete thirty semester hours of graduate coursework, with a cumulative grade point average of B or better. The program of study consists of core courses, electives, and the coursework/project/thesis option.
Please contact the Computer and Information Science Department about the policy on the minimum grade for a course to satisfy graduation requirements .
The 30 semester hours of required coursework are distributed as follows:
All students are required to take one course from each of the following categories:
Under the Project Option, students must take four courses from two of the specialization areas below. Under the Thesis Option, students must take two courses from one specialization area and one elective course.
*May not be used as specialization course if counted as core course.
Students can take any graduate-level courses approved by the student's advisor, as described in the requirements for graduation (excluding ENGR 500 and ENGR 501).
Students must take a cis elective course for 3 credit hours..
Core courses - 9 credit hours Two specialization areas - 12 credit hours Cognate courses - 6 credit hours CIS elective course - 3 credit hours
Students must take cis 695, master's project, for 3 credits..
Students must take a cis elective course for 3 credits and cis 699, master's thesis, for 6 credits..
Established in a tradition of academic excellence, the University of Michigan-Flint’s Doctor of Philosophy in Computing program supports your growth as a leader and innovator in the computer science field.
With a highly integrative approach and a strong emphasis on research, our doctoral degree in computing program creates a learning experience that cultivates problem-solving and leadership development. Additionally, the degree program is rigorous in nature and designed to be completed at a full-time pace and entirely on campus . Upon completing your doctorate, you emerge into the workforce, ready to become a world-class researcher, educator, or industry expert . Join our expanding community of dedicated scholars and researchers and make meaningful contributions to the ever-evolving computing discipline.
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Why earn your phd in computing degree at um-flint, diversify your skills to pursue a range of career paths.
In our PhD in Computing program, you undergo intensive training to develop a versatile and in-demand skill set, which helps you pursue a successful career trajectory.
Upon completing the doctoral program, you will be well prepared to assume leadership roles in academia, where you play a part in shaping the future of computer science and inspire students along their academic journey. Or, if you prefer, you take an alternative path and seek employment in the tech industry to spur innovation.
In the PhD program, you collaborate with our distinguished College of Innovation and Technology faculty members on research projects that align with your personal scholarly and professional interests. This also allows you to begin building your body of original research and publications and establish yourself as a well-respected, innovative scholar in the field.
Additionally, as part of the world-renowned University of Michigan community, you have full access to the breadth of academic and research resources at the Flint, Dearborn , and Ann Arbor campuses.
UM-Flint is committed to making graduate education affordable and supporting you along your doctoral journey. Our PhD in Computing program adheres to the CIT full-funding model for PhD students for up to five years. When accepted into the program, you receive full funding as a Graduate Student Instructor, Research Assistant, or a combination of both , which covers a monthly stipend, health insurance, and tuition waiver.
Funding is guaranteed based on continued good academic standing and adequate progress toward the PhD degree. Because of this guaranteed funding, the PhD in Computing program is only open to full-time students with the capacity for regular on-campus presence. Read our overview of UM-Flint’s GSRA qualifications and eligibility requirements .
Phd in computing program curriculum.
At UM-Flint, we created our Doctor of Philosophy in Computing program curriculum to challenge your technical knowledge, elevate your competencies and analytical skills, and shape you into an accomplished scholar.
The number of content coursework credits you take depends on your previous academic experience. The program curriculum requires at least 38 credits of coursework beyond the bachelor’s degree. If you enter the doctoral program with a bachelor’s degree, you must complete all 38 credit hours of coursework. However, if you hold a master’s degree, you only need to complete 24 credits. Furthermore, if your master’s degree is from the University of Michigan Rackham Graduate School or UM-Flint, you are only required to complete eight credit hours of content coursework.
Besides the diverse range of coursework, our PhD program is research-oriented, meaning we evaluate your academic performance primarily based on peer-reviewed publication capability and output. You must earn 25 credits of research coursework dedicated to your research preparation and your dissertation. Additionally, we expect you to publish peer-reviewed journals and articles stemming from your dissertation research.
With the support of your selected research advisor and a dissertation committee, you must pass the following major milestones:
Review the Computing (PhD) program curriculum and course list .
UM-Flint proudly offers expert academic advisors to guide your educational journey toward achieving a PhD degree in Computing. To learn more about our doctoral program, please contact the program director, Doug Zytko, at [email protected] .
As technology rapidly evolves and our societies become increasingly computerized, the fundamentals of how computing industries design, produce, and deliver products and services to their customers are changing. Such changes create a significant need for computer scientists with advanced knowledge of data management, data science, systems, security, and software engineering.
Likewise, manufacturers and service industries in Michigan and around the nation also recognize this current shift. In response, they encourage their technical workforce to advance their knowledge, skills, and expertise in these areas through graduate-level education and training. For many such scientists and engineers, this means pursuing doctoral-level degrees that offer specialized instruction and research experience in computer and information science.
With the quality of instruction you receive in UM-Flint’s PhD program in Computing, you can pursue careers in a variety of industries, including faculty positions in academia or as an industry researcher or applied scientist .
The Bureau of Labor Statistics (BLS) estimates that both career paths have a growing employment rate—university professors can expect their employment to increase by 8%, and computer scientists can anticipate an increase of 23%. Furthermore, both careers have earning potentials that exceed the national average. For professors, the median annual salary is $84,380, and for computer scientists, their salary averages $145,080.
To qualify for admission into the PhD in Computing program, you must meet the following requirements:
Prior to applying to the doctoral program, we recommend that you speak with the director of the PhD in Computing program regarding your eligibility for admission. Please note: meeting the minimum admission requirements does not guarantee entrance into the program.
Due to its rigorous curriculum and competitive admission process, we strongly encourage you to connect with Doug Zytko , Director of the PhD in Computing program. During this meeting, you can discuss career and professional development goals to help determine if the doctoral program suits your academic and professional aspirations.
Additionally, you should meet with individual faculty members who may serve as dissertation chairs. This helps you connect with faculty members and determine who may share your research interests. If you need assistance identifying and contacting faculty members, please contact Doug Zytko.
To be considered for admission, submit the following to the Office of Graduate Programs:
Please email all additional application materials to [email protected] or deliver them to the Office of Graduate Programs , located at 251 Thompson Library.
The PhD in Computing program is an on-campus program with in-person courses. As a new academic degree, this program is not currently accepting applications from international students seeking an F-1 visa. This program will accept applications from international students who are required to have an I-20 as soon as authorization from the Department of Homeland Security is received.
For other nonimmigrant visa holders currently in the United States, please contact the Center for Global Engagement at [email protected]
The computing doctoral program only extends admissions offers for the fall and winter terms. If you are interested in applying for an upcoming class, please submit all application materials to the Office of Graduate Programs by 5:00 p.m. on the following application deadlines:
Embark on a rigorous academic journey that combines your passion for teaching and research and equips you to emerge as an expert in the tech field. By earning your Doctor of Philosophy in Computing degree from the University of Michigan-Flint, you undergo transformational training, acquire high-level research skills, and receive mentorship from leading experts.
Take the next step toward becoming a scientist and an educator who leads, innovates, and inspires. Begin your UM-Flint application today ! If you have more questions about the graduate program, request more information .
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The master’s degree in CSE is primarily intended for students desiring to substantially advance their knowledge and skill in a field or fields of CSE. The relatively small investment in time to get a master’s degree will lead to greater professional opportunities and significantly higher salaries (see Michigan Engineering employment data ).
The master’s degree requires successful completion of 30 credits of coursework. A thesis is optional. Students normally complete the master’s degree in 1-2 years.
The complete master’s requirements can be found in the CSE Graduate Program Guide (Google Doc) .
View a list of courses that satisfy the different MS degree requirements (Google Sheet) .
Students admitted to the master’s program may apply to the doctoral program. Admission depends on academic qualifications as well as the availability of openings in the doctoral program.
The MS (Master’s of Science) and MSE (Master’s of Science in Engineering) degrees differ mainly in name. The degree requirements are the same. Students with a bachelor’s degree in engineering can elect either degree. Students without an engineering bachelor’s degree are eligible only for the MS.
A limited number of graduate credits earned elsewhere can be transferred to meet the coursework requirements for the master’s degree. In addition, a course taken elsewhere that is equivalent to a course satisfying a degree requirement here can be used to satisfy the requirement, even if course credits are not transferred. However, such equivalancy will not reduce the total number of credit hours required.
This page has information about graduate school admissions .
The CSE Division has limited financial aid to award to master’s students at the time of application. On the other hand, master’s students occasionally receive a research or teaching assistantship after they begin their studies. Master’s students are encouraged to apply for fellowships from sources outside the University. See an overview of financial aid resources .
Contact us with any questions about Computer Science and Engineering graduate programs.
[email protected]
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If you have a MS or PhD in computer science or an equivalent field from another institution, you cannot apply for the same degree at the University of Michigan; Successful applicants usually have an undergraduate GPA of at least 3.5/4.0 (although this is not a hard requirement) and three strong letters of recommendation.
The doctoral degree, i.e. the PhD, is primarily intended for students desiring a career in research and/or collegiate teaching. The focus is on advanced CSE topics, on learning to perform research and to write research papers, and on making fundamental new contributions to a CSE topic. Students take advanced course work and write a doctoral ...
As of the most recent data available, the acceptance rate for the Computer Science graduate program at the University of Michigan is around 15%. This means that out of every 100 applications, only 15 are accepted. The low acceptance rate highlights the rigorous nature of the program and the high standards set by the university for admission ...
Program Statistics. The University of Michigan offers a remarkably broad and rigorous array of graduate degree programs that are among the very best in the country in each field of study. U-M attracts outstanding students to graduate study, and prepares them to make lasting contributions to society through successful careers in professions and ...
University of Michigan facts and figures. US News & World Report: Graduate Engineering School: 9 (2025) Graduate Program in Computer Engineering: 6 (2025) Graduate School in Computer Science: 10 (2024) Undergraduate Engineering School: 5 (2023) Undergraduate Program in Computer Science: 12 (2023) Undergraduate Program in Computer Engineering: 6 ...
The Computer Science (CS) program at the University of Michigan falls under the College of Engineering, which is known to be competitive. While Michigan doesn't officially release acceptance rates for individual colleges, given the popularity and strong reputation of the CS program, it's safe to assume the rate for this particular major/college is lower than Michigan's overall rate of about 18%.
Computer and Information Science (PhD) Previous Degrees Required. Bachelor or master's degree in engineering, applied mathematics, computer science, or a physical science. Bachelor's degree expected GPA of 3.2 or higher on a 4-point scale. Master's degree expected GPA of 3.5 or higher on a 4-point scale. Standardized Test Scores GRE not required.
UMSI's Master of Science in Information (MSI) is a professional, interdisciplinary degree that prepares students for a range of information-related careers. The residential program's curricular strengths are in digital archives and library science, human computer interaction (HCI) and user experience (UX), and data science and analytics ...
Department of Computer Science and Engineering at University of Michigan provides on-going educational opportunities to those students seeking advanced degrees. ... Acceptance Rate. 3,134 Applied 446 Accepted 151 ...
3 Letters of Recommendation. At least 2 from faculty/course instructors who are familiar with your work in the classroom and/or lab. Research experience (especially important for students applying to the PhD program. Experience of working in a lab or project with faculty. English Proficiency Test score (applicants whose native language is not ...
University of Michigan offers a Ph.D. in Computer Science and Engineering with a duration of 4 years. This program is full-time and thesis-based. It is delivered on-campus. In this program after all requirements except the dissertation are completed, students become candidates.
Also Known As: Computer Scientist, Software Engineer, Software Developer, Artificial Intelligence Specialist, Computational Linguist, Information Scientist, +10,000 more. The CS program at Michigan is one of the oldest and most respected in the world. U-M alumni have received the AM Turing Award, considered the "Nobel Prize" of computing.
The site allows you to save your work and complete the application over time. A UMID number will be issued to you by the Rackham Graduate School via email within 5 business days of completing pages 1-5 and advancing to page 6 of the ApplyWeb application. The online application will be accessible until 11:59 p.m. (EST) on the application deadline.
Research projects in compilers, computer architecture, computer science education, and parallel computing have each received funding of over $1 million. Special-Purpose Research and Learning Labs. Artificial intelligence/robotics lab. Cluster computing lab. Compiler/architecture lab. Graphics and Visualization lab. Human-computer interaction lab.
For example, in 2016 University of Michigan's math doctoral program had a 17.2 percent acceptance rate, whereas its master's program had a much higher 31.8 percent rate. In this case, the doctoral program is clearly tougher to get into than the master's program.
Admissions. The Rackham Graduate School and the graduate program work as a team to manage the application review process. As an applicant, you will be interacting with both offices. Applicants must first consult the program website for degree options and specific requirements for admission. The program website is the official source of ...
If you have questions about applying to our program or about Michigan Robotics in general, please contact: Robotics Student Services Office. [email protected]. Additional information on criteria for admissions and degree programs is available on the Rackham Admissions site. Welcome and thank you for your interest in applying to our ...
The EECS Department is one of the leading departments of its kind in the nation. Our excellence and impact comes through in the work of the two departmental divisions: Computer Science and Engineering; and Electrical and Computer Engineering. In our unique structure, we have two Chairs, one for each division.
Computer Science and Engineering Bob and Betty Beyster Building 2260 Hayward Street Ann Arbor, MI 48109-2121
The Ph.D. in Computer and Information Science is a research-oriented degree for students interested in a research and development career, which will target industries and organizations, especially those in the local area. The program offers concentrations in data management, data science, systems and security, and software engineering.
The Computer and Information Science master's degree program is designed to prepare students for professional practice, as well as further studies and research in the computing field. The program offers a 30-credit hour curriculum consisting of required core courses and technical electives. The department schedules all CIS courses during late ...
Learn about the services offered by the Graduate Programs Office, what you need to do as part of your degree progress, and additional funding opportunities. Michigan Engineering. Electrical Engineering and Computer Science Department. Computer Science. and Engineering. Bob and Betty Beyster Building. 2260 Hayward Street. Ann Arbor, MI 48109-2121.
Admission Requirements (No GRE Required) To qualify for admission into the PhD in Computing program, you must meet the following requirements: A bachelor's or master's degree in engineering, applied mathematics, computer science, or physical science from an accredited institution in the United States (or equivalent in another country).
Due to capacity constraints, students who are admitted to the University of Michigan in Fall 2023 or later must first be selected for the Computer Science (CS) major before they can declare the major. This selection policy, described below, is the same for students in both the College of Engineering and the College of Literature, Science and ...
The master's degree requires successful completion of 30 credits of coursework. A thesis is optional. Students normally complete the master's degree in 1-2 years. The complete master's requirements can be found in the CSE Graduate Program Guide (Google Doc). View a list of courses that satisfy the different MS degree requirements (Google ...