QS Rank:
1
Massachusetts Institute of Technology
Massachusetts
,United States
Program Rank
1
Program Name
Phd in Physics, Statistics and Data Science
Deadline
December 15th, 2024
Overview
View Official pageTotal Tuition Fees
$3,00,000
Duration
60 Months
Median Salary
$1,10,000
Ranking
#2
US World and News Report
#5
The World University Rankings
#1
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
25
Average Age
30
Average Work Experience
3 Years
Diversity
Black or African American:
12%Others:
8%Two or more races:
5%Asian:
15%Hispanic or Latino:
12%White:
48%Career Outcomes
Median Earnings After Graduation
$1,10,000 / year
Graduation Rate
96%
Prospective Job Roles
Statistician
Biostatistician
Physics Teacher
Physics Education Instructor
Physics Education Consultant
Physics Education Writer
Physics Education Software Developer
Physics Education Program Manager
Physics Education Policymaker
High School Physics Teacher
Medical Statistician
Pharmaceutical Statistician
Statistical Programmer
Cancer Statistician
Physics Education Researcher
Physics Education Technology Developer
Physics Education Policy Analyst
College Physics Professor
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
90
IELTS
7
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Fee: 90
Transcript
Passport
Statement of Purpose
Resume
IELTS
Academic LOR
Professional LOR
Professional LOR
Essay
Application Deadlines
Standard Deadline | |
---|---|
Fall | Dec 15, 2024 |
Fees and Funding
Tuition Fees
$60,000 / year
Overall Cost
$75,000 / year
FAQs
Yes, this is possible for the “computation and statistics” and “data analysis” requirements, with permission of program co-chairs. Substitutions for the “probability” and “statistics” requirements will only be granted in exceptional cases. For Spring 2021, the following course has been approved as a substitution for the “computation and statistics” requirement: 18.408 (Theoretical Foundations for Deep Learning). The following course has been approved as a substitution for the “data analysis” requirement: 6.481 (Introduction to Statistical Data Analysis).
These courses are required by all of the IDPS degrees. They are meant to ensure that all students obtaining an IDPS degree share the same solid grounding in these fundamentals, and to help build a community of IDPS students across the various disciplines. Only in exceptional cases might it be possible to substitute more advanced courses in these areas.
Yes, this is possible, as long as the courses are already on the approved list of requirements. E.g. 8.592 can count as a breadth requirement for a NUPAX student as well as a Data Analysis requirement for the PhysSDS degree
Harvard CompSci 181 will count as the equivalent of MIT’s 6.867. For the status of other courses, please contact the program co-chairs.
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