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Doctoral Programs in Computational Science and Engineering

Doctor of philosophy in computational science and engineering, program requirements.

Programs Offered by CCSE in Conjunction with Select Departments in the Schools of Engineering and Science

The interdisciplinary doctoral program in Computational Science and Engineering ( PhD in CSE + Engineering or Science ) offers students the opportunity to specialize at the doctoral level in a computation-related field of their choice via computationally-oriented coursework and a doctoral thesis with a disciplinary focus related to one of eight participating host departments, namely, Aeronautics and Astronautics; Chemical Engineering; Civil and Environmental Engineering; Earth, Atmospheric and Planetary Sciences; Materials Science and Engineering; Mathematics; Mechanical Engineering; or Nuclear Science and Engineering.

Doctoral thesis fields associated with each department are as follows:

• Aerospace Engineering and Computational Science
• Computational Science and Engineering (available only to students who matriculate in 2023–2024 or earlier)
• Chemical Engineering and Computation
• Civil Engineering and Computation
• Environmental Engineering and Computation
• Computational Materials Science and Engineering
• Mechanical Engineering and Computation
• Computational Nuclear Science and Engineering
• Nuclear Engineering and Computation
• Computational Earth, Science and Planetary Sciences
• Mathematics and Computational Science

As with the standalone CSE PhD program, the emphasis of thesis research activities is the development of new computational methods and/or the innovative application of state-of-the-art computational techniques to important problems in engineering and science. In contrast to the standalone PhD program, however, this research is expected to have a strong disciplinary component of interest to the host department.

The interdisciplinary CSE PhD program is administered jointly by CCSE and the host departments. Students must submit an application to the CSE PhD program, indicating the department in which they wish to be hosted. To gain admission, CSE program applicants must receive approval from both the host department graduate admission committee and the CSE graduate admission committee. See the website for more information about the application process, requirements, and relevant deadlines .

Once admitted, doctoral degree candidates are expected to complete the host department's degree requirements (including qualifying exam) with some deviations relating to coursework, thesis committee composition, and thesis submission that are specific to the CSE program and are discussed in more detail on the CSE website . The most notable coursework requirement associated with this CSE degree is a course of study comprising five graduate subjects in CSE (below).

Computational Concentration Subjects

Note: Students may not use more than 12 units of credit from a "meets with undergraduate" subject to fulfill the CSE curriculum requirements

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Application Requirements and Process: SCALE Graduate Programs

Applying to mit-scale graduate programs.

Read this section carefully to determine which application requirements, dates, and forms are relevant to you!  

• All candidates must apply online.
• You will use MIT's apply.mit.edu system to apply to master's programs at CTL, LCL, NISCI, LBORO, and/or ZLC, or the GCLOG certificate program. Use the links below to the correct instructions and form for the program(s).
• The residential and blended master's program  application requirements vary .
• You may apply to multiple MIT SCALE master's programs with a single application form (but note there is one form for blended programs, another for residential) and a single fee. 
• Registration for Executive Education and short courses is done directly on the centers' sites. Start on the SCALE Exec Ed page and navigate to your center of interest.
• Are you looking for online SCx and MicroMasters courses? Start here . 

Ready to go?

To apply to SCALE’s highly competitive degree programs, you must submit more than just an application form. See below for the supplemental documents you will need and links to more detailed admission info for the program(s) you wish to apply to.

Application Deadlines – Class of 2026

Residential programs:

• Round 1 Deadline:  November 1, 2024
• Round 2 Deadline:  January 31, 2025
• Round 3 Deadline:  March 28, 2025*

Blended programs:

• Round 1 Deadline:  January 10, 2025
• Round 2 Deadline: June 20, 2025

*ZLC, LCL, and NISCI may accept applications on a rolling basis after the published deadlines have passed.

Application Requirements at a Glance

10-month master's (ctl, lcl, zlc, nisci msc) and nisci mba programs.

Eligibility: Applicants must have at least 2 years' work experience (5+ years is ideal) and strong quantitative skills, including some college-level calculus, linear algebra, and probability/statistics.   

• Online Application ( apply.mit.edu residential application form )
• Resumé or CV
• Transcripts
• SC0x or GMAT/GRE*
• Statement of Objectives
• Recommendations (2)
• Video Statement
• IELTS/TOEFL (required of applicants from non-English-speaking nations)

*Required for applicants to the MIT SCM residential program. See application instructions for more info.

Master's Programs Application Instructions

Blended & Accelerated Master's (CTL, ZLC, MISI)

Eligibility: Applicants must be MicroMasters Program Credential holders.

• Proposed Research Project

Go to master's programs application instructions

GCLOG Graduate Certificate Program

Eligibility: Applicants must be currently enrolled in a master's program in a relevant area at a reputable university in Latin America. See additional info  on eligibility.

• Online application ( GradApply GCLOG application form )
• Resume or CV
• 2 Letters of Recommendation

GCLOG Application Deadlines:

Round I: November 17, 2024 Round II: January 26, 2025 Round III: March 31, 2025

Go to GCLOG application instructions

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Below is a list of the MIT Schwarzman College of Computing’s graduate degree programs. The Doctor of Philosophy (PhD) degree is awarded interchangeably with the Doctor of Science (ScD).

Prospective students apply to the department or program under which they want to register. Application instructions can be found on each program’s website as well as on the MIT Graduate Admissions website.

Center for Computational Science and Engineering

The Center for Computational Science and Engineering (CCSE) brings together faculty, students, and other researchers across MIT involved in computational science research and education. The center focuses on advancing computational approaches to science and engineering problems, and offers SM and PhD programs in computational science and engineering (CSE).

• Computational Science and Engineering, SM and PhD . Interdisciplinary master’s program emphasizing advanced computational methods and applications. The CSE SM program prepares students with a common core of computational methods that serve all science and engineering disciplines, and an elective component that focuses on particular applications. Doctoral program enables students to specialize in methodological aspects of computational science via focused coursework and a thesis which involves the development and analysis of broadly applicable computational approaches that advance the state of the art.
• Computational Science and Engineering, Interdisciplinary PhD. Doctoral program offered jointly with eight participating departments, focusing on the development of new computational methods relevant to science and engineering disciplines. Students specialize in a computation-related field of their choice through coursework and a doctoral thesis. The specialization in computational science and engineering is highlighted by specially crafted thesis fields. 

Department of Electrical Engineering and Computer Science

The largest academic department at MIT, the Department of Electrical Engineering and Computer Science (EECS) prepares hundreds of students for leadership roles in academia, industry, government and research. Its world-class faculty have built their careers on pioneering contributions to the field of electrical engineering and computer science — a field which has transformed the world and invented the future within a single lifetime. MIT EECS consistently tops the U.S. News & World Report and other college rankings and is widely recognized for its rigorous and innovative curriculum. A joint venture between the Schwarzman College of Computing and the School of Engineering, EECS (also known as Course 6) is now composed of three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D).

• Computation and Cognition, MEng*. Course 6-9P builds on the Bachelor of Science in Computation and Cognition to provide additional depth in the subject areas through advanced coursework and a substantial thesis.
• Computer Science, PhD
• Computer Science and Engineering, PhD
• Computer Science, Economics, and Data Science, MEng*. New in Fall 2022, Course 6-14P builds on the Bachelor of Science in Computer Science, Economics, and Data Science to provide additional depth in economics and EECS through advanced coursework and a substantial thesis.
• Computer Science and Molecular Biology, MEng*. Course 6-7P builds on the Bachelor of Science in Computer Science and Molecular Biology to provide additional depth in computational biology through coursework and a substantial thesis.
• Electrical Engineering, PhD
• Electrical Engineering and Computer Science, MEng* , SM* , and PhD . Master of Engineering program (Course 6-P) provides the depth of knowledge and the skills needed for advanced graduate study and for professional work, as well as the breadth and perspective essential for engineering leadership. Master of Science program emphasizes one or more of the theoretical or experimental aspects of electrical engineering or computer science as students progress toward their PhD.
• Electrical Engineer / Engineer in Computer Science.** For PhD students who seek more extensive training and research experiences than are possible within the master’s program.
• Thesis Program with Industry, MEng.* Combines the Master of Engineering academic program with periods of industrial practice at affiliated companies. 

* Available only to qualified EECS undergraduates. ** Available only to students in the EECS PhD program who have not already earned a Master’s and to Leaders for Global Operations students.

Institute for Data, Systems, and Society

The Institute for Data, Systems, and Society advances education and research in analytical methods in statistics and data science, and applies these tools along with domain expertise and social science methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health.

• Social and Engineering Systems, PhD. Interdisciplinary PhD program focused on addressing societal challenges by combining the analytical tools of statistics and data science with engineering and social science methods.
• Technology and Policy, SM . Master’s program addresses societal challenges through research and education at the intersection of technology and policy.
• Interdisciplinary Doctoral Program in Statistics . For students currently enrolled in a participating MIT doctoral program who wish to develop their understanding of 21st-century statistics and apply these concepts within their chosen field of study. Participating departments and programs: Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and Social and Engineering Systems.

Operations Research Center

The Operations Research Center (ORC) offers multidisciplinary graduate programs in operations research and analytics. ORC’s community of scholars and researchers work collaboratively to connect data to decisions in order to solve problems effectively — and impact the world positively.

In conjunction with the MIT Sloan School of Management, ORC offers the following degrees:

• Operations Research, SM and PhD . Master’s program teaches important OR techniques — with an emphasis on practical, real-world applications — through a combination of challenging coursework and hands-on research. Doctoral program provides a thorough understanding of the theory of operations research while teaching students to how to develop and apply operations research methods in practice.
• Business Analytics, MBAn. Specialized advanced master’s degree designed to prepare students for careers in data science and business analytics.

1. Undergraduate Admissions

• Apply to MIT as an undergrad  ( Labs like CSAIL do not directly admit students)
• Apply to MIT's summer programs
• Current MIT undergrads: do CSAIL research via the  Undergraduate Research Opportunities Program  (UROP)

2. Graduate Admissions

CSAIL does not directly admit students. Instead, students apply directly to specific departments, like  Electrical Engineering & Computer Science , Mathematics , Aeronautics and Astronautics and  Mechanical Engineering . 

Deadlines for most programs are December 15. Engineering master’s students at MIT can also  do research assistantships   at CSAIL.

3. Postdoctoral Opportunities

Potential postdocs should  explore our research  and reach out directly to the principal investigator you’d like to work with!

NOTE: CSAIL doesn't generally accept interns or research assistants, especially non-MIT students. In the rare event that a faculty member chooses to take one on, preference is given to MIT students.

Degree programs

Mit offers a wide range of degrees and programs..

All graduate students, whether or not they are participating in an interdepartmental program, must have a primary affiliation with and be registered in a single department. Every applicant accepted by MIT is admitted through one of the graduate departments. MIT has a number of established interdepartmental programs, and there are many more opportunities for students to arrange interdepartmental programs with interested faculty members.

All MIT graduate degree programs have residency requirements, which reflect academic terms (excluding summer). Some degrees also require completion of an acceptable thesis prepared in residence at MIT, unless special permission is granted for part of the thesis work to be accomplished elsewhere. Other degrees require a pro-seminar or capstone experience.

Applicants interested in graduate education should apply to the department or graduate program conducting research in the area of interest. Below is an alphabetical list of all the available departments and programs that offer a graduate-level degree.

Interested in reading first-hand accounts of MIT graduate students from a variety of programs? Visit the Grad Blog . Prospective students who want to talk with a current student can reach out to their department(s) of interest for connections or, if they are interested in the MIT experience for diverse communities, can reach out to a GradDiversity Ambassador .

Search Programs

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Department of Statistics Welcomes Six New Faculty Members for Fall 2024

The Department of Statistics at the University of Illinois at Urbana-Champaign is thrilled to welcome six new faculty members, each bringing a unique blend of research expertise and academic excellence to the department. Their arrival underscores the department's commitment to advancing the field of statistics across a wide range of disciplines. Here is a brief introduction to each of the new faculty members:

Joshua Agterberg Joshua Agterberg joins the department as an Assistant Professor. His research focuses on the analysis of algorithms and statistical models for networks, as well as structured matrix and tensor data. He recently completed a postdoctoral fellowship at the University of Pennsylvania, where he worked with René Vidal and Yuxin Chen as part of the Innovation in Data Engineering and Science (IDEAS) Initiative. Joshua earned his Ph.D. in Applied Mathematics and Statistics from Johns Hopkins University in 2023, with a dissertation on "Asymptotics and Statistical Inference in High-Dimensional Low-Rank Matrix Models." He brings a diverse research background and a passion for teaching to the department.

Professor Agterberg will be teaching STAT 410: Statistics and Probability this fall. 

Eren Kizildag Eren Kizildag joins the department as an Assistant Professor. His research lies at the intersection of high-dimensional statistics, applied probability, and computer science, with a particular focus on understanding the computational tractability of large-scale random models. Eren completed his Ph.D. in Electrical Engineering and Computer Science at MIT, where he was advised by David Gamarnik. Before joining Illinois, he served as a Distinguished Postdoctoral Fellow at Columbia University. His work explores the mathematical foundations of machine learning and data science, making significant contributions to these rapidly evolving fields.

Professor Kizildag will begin teaching spring 2025. 

Chan Park Chan Park joins the department as an Assistant Professor, bringing his expertise in causal inference, econometrics, and network analysis. His research develops robust and efficient estimators of causal quantities, especially in non-i.i.d. settings and under unmeasured confounding. Prior to joining UIUC, Chan was a postdoctoral researcher at the University of Pennsylvania's Wharton School. He completed his Ph.D. in Statistics at the University of Wisconsin-Madison in 2022 and previously worked as a statistician for the Central Bank of Korea.

Professor Park will be teaching STAT 426: Statistical Modeling II this fall. 

Matthew Singh Matthew Singh joins the department as an Assistant Professor with a focus on neuroinformatics and computational neuroscience. Matthew completed his Ph.D. in Neuroscience at Washington University in St. Louis, where he modeled cognitive states using neurodynamic frameworks. He also held a joint postdoctoral research position at Rutgers University and Washington University in St. Louis. His interdisciplinary work bridges statistics, neuroscience, and computational modeling, offering new insights into brain function and behavior.

Professor Singh will be teaching STAT 447: Data Science Programming Methods this fall. 

Lili Zheng Lili Zheng joins the department as an Assistant Professor after completing her postdoctoral research at Rice University, where she worked with Genevera Allen. Her research interests span graphical models, missing data, time series analysis, and high-dimensional statistics. Lili earned her Ph.D. in Statistics from the University of Wisconsin-Madison in 2021. Her work focuses on developing rigorous statistical methods for complex, large-scale data problems, making her a valuable addition to the department’s efforts in modern statistical theory and applications.

Professor Zheng will begin teaching spring 2025. 

Yuchen Zhou Yuchen Zhou joins the department as an Assistant Professor. His research centers on high-dimensional statistical inference, tensor data analysis, and nonconvex optimization. Yuchen recently completed postdoctoral research at the University of Pennsylvania's Wharton School and Princeton University. He earned his Ph.D. in Statistics from the University of Wisconsin-Madison in 2021, where he worked with Professors Anru Zhang and Yazhen Wang. Yuchen’s expertise will contribute significantly to the department's growing focus on statistical learning and data science.

Professor Zhou will begin teaching spring 2025.

The Department of Statistics is excited to welcome these exceptional scholars, whose diverse backgrounds and innovative research will help shape the future of statistics at the University of Illinois and beyond.

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Dear prospective applicant,

Thank you for your interest in graduate study in EECS.

For information on EECS, please visit our web page:  http://www-eecs.mit.edu/ . The Electrical Engineering and Computer Science Department does NOT require GRE scores for admission purposes. Admission is determined by GPA (Grade Point Average) although there is not an official cut-off, letters of recommendation (we need three of them) and a “Statement of Objectives” in which you write an essay detailing your research interests. For more information about writing a Statement of Objectives, see  this article from the MIT EECS Communication Lab . A very strong background in math, physics, engineering, or computer science is a necessity. Admission for the limited number of openings is extremely competitive and each year we are forced to turn down hundreds of applicants with excellent credentials. Since we do not have a terminal Master’s program in EECS, everyone must apply for PhD. Applicants who gain admission pursue the Master’s degree on the way to the PhD. If a student already has a Master’s from another school, there is no need to do another Master’s degree here at MIT.

We use an online application system which you can access by going to  https://gradapply.mit.edu/eecs/apply . The online system becomes available September 15th.

Decisions on financial aid are made after admission decisions are reached. International students are eligible for research assistantships which pay a monthly stipend and full tuition. Research supervisors are determined after admission decisions are reached or shortly after registering in EECS in the Fall. Admitted students are also eligible for certain fellowships.

International students must take the TOEFL exam and earn at least a score of 100 (internet-based). In some cases, the TOEFL can be waived; such as if you’ve been in U.S. for at least two years, or if your country’s first language is English. International students can also take the IELTS exam if the TOEFL is not available to you. We need to see a score of ‘7’ on this test. It also can be waived for the same reasons as the TOEFL.

We do NOT offer spring term admission. The deadline for applying for Fall Term 2025 is December 15, 2024. The online application will be available between September 15, 2024 and December 15, 2024. 

Good luck with your application!