mit

Enrollments 2018–2019

In fall 2018, there were 11,574 students enrolled at MIT: 4,602 undergraduates (40%) and 6,972 graduate students (60%).

In fall 2018, 2,139 women were enrolled as undergraduates (46%) and 2,463 as graduate students (35%).

US minority groups were represented by 2,250 undergraduates (49%) and 1,341 graduate students (19%).

In 2018–2019, MIT students come from all 50 states, the District of Columbia, four territories, and 127 foreign countries.

For more information, visit the Registrar's Office.

Undergraduate Enrollment, First Year and Undeclared Students

First-year*	1,120
Undeclared second-year*	7
Special undergraduate students	52

Undergraduate Enrollment, by School

Major	2nd Major
* MIT students do not enroll in an academic department until the start of their sophomore year, and may defer decision on a course of study until the end of that year.
Architecture and Planning	47	2
Engineering	2,481	60
Humanities, Arts, and Social Sciences	88	47
Management	90	16
Science	717	106

Graduate Enrollment, by Degree Level and School

Master's	Doctoral	Special
* This number includes 182 students working on Harvard degrees only through the Harvard-MIT Health Sciences and Technology Program.
Architecture and Planning	455	199	0
Engineering	1,008	2,127*	132
Humanities, Arts, and Social Sciences	28	299	0
Management	1,360	170	8
Science	8	1,175	3
Total	2,859	3,970	143

Minority Group Representation among Students

Undergraduate	Graduate
African American	280	130
American Indian or Alaska Native	6	8
Asian American	1,268	819
Hispanic	694	384
Native Hawaiian or other Pacific Islander	2	0
Total	2,250	1,341

There are 3,337 international students enrolled in degree programs at MIT—459 undergraduates (10%) and 2,878 graduate students (42%)—for the current academic year. Additionally, there are 678 exchange, visiting, and special students on campus.

Tuition and Financial Aid

Undergraduate Tuition and Living Expenses

Nine months’ tuition and fees for 2018–2019 are $51,832.* In addition, undergraduate housing and meals is approximately $15,510 depending on the student’s housing and dining arrangements. Books and personal expenses are about $2,898.

Undergraduate Financial A > Selected Undergraduate Financial Aid Statistics, 2017–2018 Average need-based MIT scholarship $51,752 Average need-based financial aid award $49,317 Students awarded a need-based MIT scholarship 59% Students attending tuition-free 31% Class of 2018 graduates with no student loan debt 72% Average student loan debt for those who borrowed $22,560 Average term-time earnings for those who worked $3,432

The Institute’s undergraduate financial aid program ensures that an MIT education is accessible to all qualified candidates regardless of their financial circumstances. MIT provides financial aid to meet the full price of an MIT education, based on the calculated financial need of the family. In 2017–2018, 89% of undergraduates received $149.4 million in financial aid from all sources, with MIT being the largest source. For students with a family income under $90,000, the Institute ensures that scholarship funding from all sources will allow them to attend MIT tuition-free.

Financial need is the difference between the cost to attend MIT and the family’s ability to pay that amount. Need is determined using information parents provide on the Free Application for Federal Student Aid (FAFSA) and the College Scholarship Service (CSS) Profile. The first $3,400 of financial need is designated as self-help and can be met through a combination of term-time work, outside scholarships or grants (including Pell Grants), or student loans. The remaining need, if any, is met with an MIT scholarship. Students receiving scholarships and grants from sources outside MIT may use that aid to replace the student self-help.

Graduate Tuition and Living Expenses

Graduate students generally incur greater expenses than undergraduates. Most attend the Institute for a calendar year rather than an academic year, increasing the cost of tuition. In 2018–2019, nine months’ tuition and fees are $51,832 (specific programs and departments may have different tuition amounts).* Summer term tuition in 2018 was approximately $17,155 for students enrolled in courses.

MIT’s residential system can accommodate 38% of its graduate students; the rest find housing in the Boston/Cambridge area. Graduate students’ costs for housing, food, books, medical insurance, and incidentals vary widely depending on marital status, quality-of-life expectations, and housing arrangements. For example, monthly charges for on-campus housing range from $800 to $2,075 depending on housing type and location.

Graduate Financial Aid

Financial aid for graduate students is in large part provided by individual departments, and the amount of aid varies significantly. Financial support includes fellowships, traineeships, teaching and research assistantships, and loans. Most forms of support are granted for merit, while others are granted for financial need or a combination of merit and need.

Doctoral Student Support, by Type and School, 2017-2018

RA	FE	TA	Other or none
RA=research assistantship, FE=fellowship, TA=teaching assistantship
Architecture and Planning	50%	23%	22%	5%
Engineering	58%	22%	8%	12%
Humanities, Arts, and Social Sciences	24%	37%	22%	16%
Management	35%	44%	18%	3%
Science	50%	35%	15%	1%
Doctoral Total	51%	28%	12%	8%

* Tuition rates are set by the Academic Council in the spring for the following academic year.

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Figure 1: The generator of 3D Generative Adversarial Networks (3D-GAN)

Figure 2: Shapes synthesized by 3D-GAN

Abstract

We study the problem of 3D object generation. We propose a novel framework, namely 3D Generative Adversarial Network (3D-GAN), which generates 3D objects from a probabilistic space by leveraging recent advances in volumetric convolutional networks and generative adversarial nets. The benefits of our model are three-fold: first, the use of an adversarial criterion, instead of traditional heuristic criteria, enables the generator to capture object structure implicitly and to synthesize high-quality 3D objects; second, the generator establishes a mapping from a low-dimensional probabilistic space to the space of 3D objects, so that we can sample objects without a reference image or CAD models, and explore the 3D object manifold; third, the adversarial discriminator provides a powerful 3D shape descriptor which, learned without supervision, has wide applications in 3D object recognition. Experiments demonstrate that our method generates high-quality 3D objects, and our unsupervisedly learned features achieve impressive performance on 3D object recognition, comparable with those of supervised learning methods.

Spotlight Video

If you cannot access YouTube, please download our video here.

Arnav Kapur

Groups

• Research Assistant

Please reach me at arnavk AT mit.edu.

Please reach me at arnavk AT mit.edu.

Except for papers, external publications, and where otherwise noted, the content on this website is licensed under a Creative Commons Attribution 4.0 International license (CC BY 4.0). This also excludes MIT’s rights in its name, brand, and trademarks. For papers and external publications included on this website, please contact the author(s) or publisher(s) directly for licensing information.