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• Prof. Eric Grimson
• Prof. John Guttag
• Dr. Ana Bell

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• Electrical Engineering and Computer Science

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• Computer Science
• Probability and Statistics

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Introduction to computational thinking and data science, course description.

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The majority of undergraduate programs in EECS are administered by the EECS Undergraduate Office , who can be reached at [email protected] .

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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
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• 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.

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Master of Science Program in Computational Science and Engineering

The master’s degree in Computational Science and Engineering (CSE), previously the Computation for Design and Optimization (CDO) SM program, is an interdisciplinary program designed to prepare tomorrow’s engineers and scientists in advanced computational methods and applications. The program provides a strong foundation in computational approaches to the design and operation of complex engineered and scientific systems.

As an interdisciplinary academic program, the CSE SM is housed in the Center for Computational Science & Engineering but students have the opportunity to work with faculty from across the Institute.  Through hands-on projects and a master’s thesis, students develop and apply advanced computational methods to a diverse range of applications, from aerospace to nanotechnology, from Internet protocols to telecommunications system design. Career opportunities for CSE SM graduates include companies and research centers where systems modeling, numerical simulation, design and optimization play a critical role.

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• Collaborative Data Science for Healthcare
• Data Analysis: Statistical Modeling and Computation in Applications
• Derivatives Markets: Advanced Modeling and Strategies
• Energy Economics and Policy
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• Foundations of Modern Finance
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• Genetics: Population Genetics and Human Traits
• Genetics: The Fundamentals
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Student spotlight: Victory Yinka-Banjo

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This interview is part of a series from the MIT Department of Electrical Engineering and Computer Science featuring students answering questions about themselves and life at the Institute. Today’s interviewee, Victory Yinka-Banjo, is a junior majoring in MIT Course 6-7: Computer Science and Molecular Biology. Yinka-Banjo keeps a packed schedule: She is a member of the Office of Minority Education (OME) Laureates and Leaders program ; a 2024 fellow in the public service-oriented BCAP program ; has previously served as secretary of the African Students’ Association, and is now undergraduate president of the MIT Biotech Group ; additionally, she is a SuperUROP Scholar ; a member of the Ginkgo Bioworks' Cultivate Fellowship (a program that supports students interested in synthetic biology/biotech); and an ambassador for Leadership Brainery , which equips juniors/leaders of color with the resources needed to prepare for graduate school. She recently found time to share a peek into her MIT experience.

Q: What’s your favorite building or room within MIT?

A: It has to be the Broad Institute of MIT and Harvard on Ames Street in Kendall Square, where I do my SuperUROP research in Caroline Uhler's lab . Outside of classes, you're 90 percent likely to find me on the newest mezzanine floor (between the 11th and 12th floor), in one of the UROP [Undergraduate Research Opportunities Program] rooms I share with two other undergrads in the lab. We have standing desks, an amazing coffee/hot chocolate machine, external personal monitors, comfortable sofas — everything, really! Not only is it my favorite building, it is also my favorite study spot on campus. In fact, I am there so often that when friends recently planned a birthday surprise for me, they told me they were considering having it at the Broad, since they could count on me being there. 

I think the most beautiful thing about this building, apart from the beautiful view of Cambridge we get from being on one of the highest floors, is that when I was applying to MIT from high school, I had fantasized working at the Broad because of the groundbreaking research. To think that it is now a reality makes me appreciate every minute I spend on my floor, whether I am doing actual research or some last-minute studying for a midterm. 

Q: Tell me about one interest or hobby you’ve discovered since you came to MIT.

A: I have become pretty involved in the performing arts since I got to MIT! I have acted in two plays run by the Black Theater Guild, which was revived during my freshman year by one of my friends. I played a supporting role in the first play called “Nkrumah’s Last Day,” which was about Ghana at a time of governance under Kwame Nkrumah, its first president. In the second play, a ghost story/comedy called “Shooting the Sheriff,” I played one of the lead roles. Both caused me to step way out of my comfort zone and I loved the experiences because of that. I also got to act with some of my close friends who were first-time stage actors as well, so that made it even more fun. 

Outside of acting, I also do spoken word/poetry. I have performed at events like the African Students Association Cultural Night, MIT Africa Innovate Conference, and Black Women’s Alliance Banquet. I try to use my pieces to share my experiences both within and beyond MIT, offering the perspective of an international Nigerian student. My favorite piece was called “Code Switch,” and I used concepts from [computer science] and biology (especially genetic code switching), to draw parallels with linguistic code-switching, and emphasize the beauty and originality of authenticity. This semester, I’m also a part of MIT Monologues and will be performing a piece called “Inheritance,” about the beauty of self-love found in affection transferred from a mother. 

Q: Are you a re-reader or a re-watcher — and if so, what are your comfort books, shows, or movies?

A: I don’t watch too many movies, although I used to be obsessed with all parts of “High School Musical;” and the only book I’ve ever reread is “Americanah.” I would actually say I am a re-podcaster! My go-to comfort-podcast is this episode, “A Breakthrough Unfolds”, by Google DeepMind . It makes me a little emotional every time I listen. It is such an exemplification of the power of science and its ability to break boundaries that humans formerly thought impossible. As a computer science and biology major, I am particularly interested in these two disciplines’ applications to relevant problems, like the protein-folding problem discussed in the episode, which DeepMind's solution for has caused massive advances in the biotech industry. It makes me so hopeful for the future of biology, and the ways in which computation can advance human health and precision medicine.

Q: Who’s your favorite artist?

A: When I think of the word 'artist,' I think of music artists first. There are so many who I love; my favorites also evolve over time. I’m Christian, so I listen to a lot of gospel music. I’m also Nigerian so I listen to a lot of Afrobeats. Since last summer, I’ve been obsessed with Limoblaze , who fuses both gospel and Afrobeats music! KB, a super talented gospel rapper , is also somewhat tied in ranking with Limo for me right now. His songs are probably ~50 percent of my workout playlist.

Q: It’s time to get on the shuttle to the first Mars colony, and you can only bring one personal item. What are you going to bring?

A: Oooh, this is a tough one, but it has to be my Brass Rat. Ever since I got mine at the end of sophomore year, it’s been nearly impossible for me to take it off. If there’s ever a time I forget to wear it, my finger feels off for the entire day. 

Q: Tell me about one conversation that changed the trajectory of your life.

A: Two specific career-defining moments come to mind. They aren’t quite conversations, but they are talks/lectures that I was deeply inspired by. The first was towards the end of high school when I watched this TEDx Talk about storing data in DNA . At the time, I was getting ready to apply to colleges and I knew that biology and computer science were two things I really liked, but I didn’t really understand the possibilities that could be birthed from them coming together as an interdisciplinary field. The TEDx talk was my eureka moment for computational biology. 

The second moment was in my junior fall during an introductory lecture to “Lab Fundamentals for Bioengineering,” by Professor Jacquin Niles. I started the school year with a lot of confusion about my future post-grad, and the relevance of my planned career path to the communities that I care about. Basically, I was unsure about how computational biology fit into the context of Nigeria’s problems, especially because my interest in the field is oriented towards molecular biology/medicine, not necessarily public health. 

In the U.S., most research focuses on diseases like cancer and Alzheimer’s, which, while important, are not the most pressing health conditions in tropical regions like Nigeria. When Professor Niles told us about his lab’s dedication to malaria research from a molecular biology standpoint, it was yet another eureka moment. Like, Yes! Computation and molecular biology can indeed mitigate diseases that affect developing nations like Nigeria — diseases that are understudied, and whose research is underfunded. 

Since his talk, I found a renewed sense of purpose. Grad school isn’t the end goal. Using my skills to shine a light on the issues affecting my people that deserve far more attention is the goal. I’m so excited to see how I will use computational biology to possibly create the next cure to a commonly neglected tropical disease, or accelerate the diagnosis of one. Whatever it may be, I know that it will be close to home, eventually.

Q: What are you looking forward to about life after graduation? What do you think you’ll miss about MIT?

A: Thinking about graduating actually makes me sad. I’ve grown to love MIT. The biggest thing I’ll miss, though, is Independent Activities Period (IAP). It is such a unique part of the MIT experience. I’ve done a web development class/competition, research, a data science challenge, a molecular bio crash course, and a deep learning crash course over the past three IAPs. It is such an amazing time to try something low stakes, forget about grades, explore Boston, build a robot, travel abroad, do less, go slower, really rejuvenate before the spring, and embrace MIT’s motto of “mind and hand” by just being creative and explorative. It is such an exemplification of what it means to go here, and I can’t imagine it being the same anywhere else. 

That said, I look forward to graduating so I can do more research. My hours spent at the Broad thinking about my UROP are always the quickest hours of my week. I love the rabbit holes my research allows me to explore, and I hope that I find those over and over again as I apply and hopefully get into PhD programs. I look forward to exploring a new city after I graduate, too. I wouldn’t mind staying in Cambridge/Boston. I love it here. But I would welcome a chance to be somewhere new and embrace all the people and unique experiences it has to offer.

I also hope to work on more passion projects post-grad. I feel like I have this idea in my head that once I graduate from MIT, I’ll have so much more time on my hands (we’ll see how that goes). I hope that I can use that time to work on education projects in Nigeria, which is a space I care a lot about. Generally, I want to make service more integrated in my lifestyle. I hope that post-graduation, I can prioritize doing that even more: making it a norm to lift others as I continue to climb.

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• The Broad Institute of MIT and Harvard
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