MIT Data Science Masters Acceptance rate

Last Updated on January 10, 2023

The MIT Data Science Masters program is one of the most selective among the data science programs. With an acceptance rate of only 7%, it requires a great deal of preparation to be admitted. In this article we will look at what you need to do in order to get accepted.

Did you know that the acceptance rate for MIT’s Data Science masters program is nearly 10% ? And did you know that there were only 20 seats in the class? And did you further know that there are more than 1,000 applicants for those seats?

If you are looking for a quick path to success, earning an MIT masters degree in Data Science will get you there. The prestigious university has recently opened up a Masters program through its School of Engineering. The application deadline for Fall 2018 was May 1st, but don’t wait until it is too late! Keep reading to learn more about the program, curriculum and how you can apply.

The is an online learning solutions provider, offering flexible, high-quality course content taught by top professionals in the space of Information Technology and Data Science. Their course content includes video lectures, live training sessions, labs, extensive hands-on exercises and real-world projects.

Interested in MIT online data science masters degree? Do you want to know if it is worth your time and money to sign up for this degree? If you are wondering, then it’s important that you read on to find out more about MIT online micromasters data science requirements and the kinds of career opportunities that come along with an educational credential from MIT. This information will give you a better understanding about why you should consider enrolling in the university for your degree Here’s a brief snapshot of what we are going to cover today:

You’re interested in the MIT data science masters program! By reading this site, you are already on your way to making a wise decision. Be sure to read the rest of this article if you are considering applying to The MIT Masters Program in Data Science.

You want to study at the best universities in the world, but you don’t have the required GPA. No Problem, keep reading. In this article you will learn how to get into MIT and other top universities with a low GPA.

Mit Data Science Masters Acceptance Rate

A top mention in the list of top universities in the world, MIT has a jaw-dropping overall acceptance rate of 6.74%. Yes, even we couldn’t believe our eyes! Over 21,706 applications were received for the class of 2022. However, only 1,464 acceptances were granted in the end. This resulted in an admission rate of only 6.74 percent, putting MIT on par with elite Ivy League schools

So technically, if 100 students have applied for the course only 6-7 students will be given admission to the university. 

Predominantly, the students who get selected at MIT have exceptionally well grades in their previous endeavors. In the above-mentioned details, the minimum/good score in a particular exam keeps on fluctuating, rather increasing due to the cut-throat competition and MIT acceptance rate. Usually, candidates accepted at MIT have secured at least 1535 out of 1600 in the SAT exam whereas the similar average score for the ACT is 34 or 35 out of 36. Apart from these scores, generally, those who get admitted to MIT have a minimum 4.17 GPA.

MIT Admissions Statistics

Given below is the table depicting the admission statistics and MIT acceptance rate for the class of 2024 for national as well as international students. 

First-year applications20,075
First-year admits1,457
Percentage admitted7.3%

US Citizens/Permanent Residents


International Students


About the Program

Demand for professionals skilled in data, analytics, and machine learning is exploding. The U.S. Bureau of Labor Statistics reports that demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. Not only is there a huge demand, but there is a significant shortage of qualified data scientists with 39% of the most rigorous data science positions requiring a degree higher than a bachelor’s.

This MicroMasters® program in Statistics and Data Science (SDS) was developed by MITx and the MIT Institute for Data, Systems, and Society (IDSS). It is a multidisciplinary approach comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization.

To complete the SDS MicroMasters program, learners will need to take the three core courses and one out of two electives. Once learners have passed their four courses, they will then take the virtually-proctored Capstone exam to earn the MicroMasters program credential in SDS. The credential can be applied, for admitted students, towards a Ph.D. in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.

Anyone can enroll in this MicroMasters program. It is designed for learners who want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process, but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel.

All the courses of this program are taught by MIT faculty and administered by Institute for Data, Systems, and Society (IDSS), at a similar pace and level of rigor as an on-campus course at MIT. This program brings MIT’s rigorous, high-quality curricula and hands-on learning approach to learners around the world—at scale.

What You’ll Learn

  • Master the foundations of data science, statistics, and machine learning
  • Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference; identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making
  • Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data; learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks
  • Master techniques in modern data analysis to leverage big datasets; use python and R skillfully to analyze data

Job Outlook

  • A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US
  • Out of those jobs, the toughest to fill are the Data Scientist/Advanced Analytics positions
  • 39% of these positions require a degree higher than a bachelor’s
  • By completing this MicroMasters program you will be able to solve complex challenges with data and drive decision-making processes for organizations
  • Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

6. Statistics and Data Science — MIT Massachusetts Institute of Technology

What you will learn: You learn about probability models, Bayes’ rule, independence, discrete and continuous distributions, Bayesian inference, classical statistics, random processes, Markov chains, estimations, regressions, A/B testing, experimental design, data visualization, method of moments, and maximum likelihood, confidence interval, hypothesis testing, goodness of fit tests, predictive models, principal component analysis, overfitting, regularization and generalization, clustering, classifications, recommender problems, probabilistic models, EM algorithm, reinforcement learning, support vector machines, neural networks, and deep learning.

Level: Advanced

Type: Instructor-led

Courses: 5 courses:

  • Probability — The Science of Uncertainty and Data (16 weeks, 10–14 hours per week)
  • Data Analysis in Social Science — Assessing Your Knowledge (4 weeks, 10–14 hours per week) — prerequisite is first a passing grade in the course Data Analysis for Social Scientists by the MIT on edX (11 weeks, 12–14 hours per week)
  • Fundamentals of Statistics (18 weeks, 10–14 hours per week)
  • Machine Learning with Python: from Linear Models to Deep Learning (15 weeks, 10–14 hours per week)
  • Capstone Exam in Statistics and Data Science (2 weeks, 10–14 hours per week)


  • Single-variable and multivariable calculus
  • Mathematical reasoning
  • Familiarity with sequences, limits, infinite series, the chain rule, and ordinary or multiple integrals
  • Vectors and matrices
  • Proficiency in Python programming on a level covered by the course Introduction to Computer Science and Programming Using Python by the MIT on edX

Lengths and effort: 1 year and two months, 10–14 hours per week

Assessments and certification: Grade of 60% or higher is required based on lecture exercises, problem sets, homework, projects, and exams.

Tools and programming language(s): R, Python

Costs: USD 1,350 (full program)

Pros: It is a very comprehensive and rigorous program that teaches the mathematical and theoretical foundations of statistics and data science. Also, more than 20 universities around the globe count the credits towards their master’s programs.

Cons: The program is very academically driven, and there is less focus on the tools used in practice and the bridge to practical data science work. The prerequisites require additional courses not covered by this MicroMasters program.

Credits: Many universities around the world are transferring the credits of this program to their graduate programs. You can find the long list and all details on MIT’s dedicated webpage.

Who should take that program: People who aim for a rigorous mathematical and theoretical basis, and want to pursue a full master’s degree, are right with this program. Further, the credential of the name MIT opens the door for many other programs.

mit data science masters requirements

Being a highly selective institution, MIT is very particular about what it wants in the applicants. Candidates have to outshine the pool of candidates and must have top-notch scores, grades, GPAs as well as official documents. Mentioned below are some entry requisites necessary for MIT- 

  • Biographical Information 
  • Formal schooling of 10+2 from a recognized institution with a minimum GPA is  required 
  • All students need to demonstrate minimum competence in fields they will continue to study at MIT.
  • As per MIT, all students must have a decent knowledge of subjects like*:
    • English 
    • Mathematics 
    • History and social sciences
    • Biology 
    • Chemistry 
    • Physics
  • Minimum demanded score in language proficiency tests. MIT accepts the following English proficiency exams:
    • Cambridge English Qualifications (Minimum: 185)
    • Duolingo English Test (Minimum: 120)
    • IELTS (Minimum: 7)
    • Pearson Test of English (PTE) Academic (Minimum: 65)
    • TOEFL (Minimum: 90)
  • A good score in score in ACT or SAT exam (UG courses)
  • Letter of Recommendation (LOR) and Statement of Purpose (SOP
  • A bachelor’s degree in a similar or relevant field along with some work experience is necessary for PG courses
  • Scores for GMAT or GRE (PG courses)

*While these courses are not compulsory, studying them will enhance your chances of being intellectually prepared to attend MIT. Students who do not have all of the recommended classes listed are also welcome to apply.

The information provided below is only applicable to the 2021–22 application cycle only. 

  • MIT will not need the SAT or ACT for first-year students enrolling in the autumn of 2021, or transfer applicants applying in either the fall of 2021 or the spring of 2022.
  • Students who have previously taken the SAT/ACT, or who can find a secure chance to do so in the near future, are urged to submit their results, as this will allow the university to more properly evaluate their preparedness for MIT.
  • Students who have not yet taken the SAT/ACT and cannot find a safe chance to do so in the near future are discouraged from taking the exam in order to preserve their own health as well as the health of their family and community.

Understanding the Application Process of MIT 

Unlike the other universities which accept general applications, MIT has its own system of application process called MyMIT. However, the institution may differ in the medium of submission of the application but it demands more or less the same things in its applications. The aspirants have to present their academic as well as professional documents stating their excellence in varied fields. Your MIT application must have top-notch certificates, LORs, Essays, Academe Transcripts, etc. which will help you pave your way through the MIT acceptance rate. 

MIT Application Tips

But moreover anything, MIT being a paramount institution weighs your zeal as well passion to pursue the course more than the scores. However, this doesn’t mean that you can apply to the university without aligning with the prerequisites. The university follows a holistic approach to admissions and examines the candidates on some set parameters apart from the general ones. The selection is only based on outstanding merit and academic achievement and a strong match between the applicant and the Institute. Here is a list of qualities that MIT looks into its candidates:

  • Risk-Taking 
  • Collaborative and Cooperative Spirit
  • Ability to Prioritise Balance
  • Alignment with MIT’s Mission
  • Initiative 
  • Hands-on-Creativity 
  • The character of MIT Community 
  • Intensity, Curiosity, and Excitement  

mit micromasters data science cost

The cost to take each course is US$299, except for Analytics-SC0x which is $199. The overall cost of the five courses plus the final exam is US$1694.

You can purchase all six courses at one time at a 10% discount here. Courses purchased as a program need to be completed within 24 months. 

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