Data Science
MicroMasters Program in

Statistics and Data Science

Massachusetts Institute of Technology (MITx)
5 Courses for $1,350 USD
Credit-eligible MicroMasters Program
Enrolling Now

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.

What You Will 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
  • Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer

Courses in this Program

Courses areAdvanced.
Cost:$300
Effort:10–14 hours per week, for 16 weeks
Build foundational knowledge of data science with this introduction to probabilistic models, including random processes and the basic elements of statistical inference — Course 1 of 4 in the MITx MicroMasters program in Statistics and Data Science.
Cost:$300
Effort:10–14 hours per week, for 13 weeks
Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge— Course 2 of 4 in the MITx MicroMasters program in Statistics and Data Science.
Cost:$300
Effort:10–14 hours per week, for 14 weeks
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction.  — Course 3 of 4 in the MITx MicroMasters program in Statistics and Data Science.
Cost:$300
Effort:10–14 hours per week, for 15 weeks
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. — Course 4 of 4 in the MITx MicroMasters program in Statistics and Data Science.
Cost:$300
Effort:10–14 hours per week, for 2 weeks
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. — Final Requirement of the MITx MicroMasters Program in Statistics and Data Science.
Regina Barzilay
Delta Electronics Professor in the Department of Electrical Engineering and Computer Science
MIT
Dimitri Bertsekas
Professor, Electrical Engineering and Computer Science
MIT
Eren Can Kizildag
Teaching Assistant
MIT
Esther Duflo
Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics
MIT
Sara Fisher Ellison
Senior Lecturer, Economics
MIT
Qing He
Teaching Assistant
MIT
Jan-Christian Hütter
Teaching Assistant
Massachusetts Institute of Technology
Tommi Jaakkola
Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society
MIT
Patrick Jaillet
Professor, Electrical Engineering and Computer Science
MIT
Jimmy Li
Teaching Assistant
MIT
Jagdish Ramakrishnan
Teaching Assistant
MIT
Philippe Rigollet
Associate Professor
Massachusetts Institute of Technology
Katie Szeto
Teaching Assistant
MIT
John Tsitsiklis
Professor, Department of Electrical Engineering and Computer Science
MIT
Kuang Xu
Teaching Assistant
MIT

Demand for professionals skilled in data, analytics, and machine learning is exploding. 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. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s.

This MicroMasters program in Statistics and Data Science is 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. The credential can be applied, for admitted students, towards a PhD 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 that 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 are taught by MIT faculty 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.

For more detail on this program and credit pathways, please visit https://micromasters.mit.edu/ds/

  • 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

Booz Allen Hamilton

"Our business has data at its core. In a competitive marketplace, we have a growing need for employees trained in the critical field of data science with strong analytical skills. The MITx MicroMasters in Statistics and Data Science provides an excellent opportunity for learners to have rigorous training in statistics, data analysis and machine learning and to develop the skills necessary to be competitive in a world increasingly shaped by data."
- Joseph Logue, Executive Vice President, Booz Allen Hamilton

How To Earn The MicroMasters Credential
Complete and successfully earn a verified certificate in four required courses and pass a virtually-proctored capstone exam.

Take Your Credential To The Next Level
Learners who successfully complete this MITx MicroMasters credential have the opportunity to apply to the MIT Doctoral Program in Social and Engineering Systems (SES) offered through the MIT Institute for Data, Systems, and Society (IDSS). Learners can use their MicroMasters credential to demonstrate their preparation in Statistics and Data Science fundamentals to the SES Admissions Committee. Learners admitted to SES can expect that their MITx MicroMasters coursework will be recognized with credit for corresponding SES core classes, and for satisfying the SES Information, Systems, and Decision Science requirements. More information on the MIT SES Doctoral Program can be found here.

In addition, learners who successfully earn the MITx MicroMasters credential in Statistics and Data Science are now eligible to earn credit at a number of universities across the globe to fast track their pursuit of a full Master’s degree. Below is a list of these universities and information on the amount of credit offered.

Other Universities

Rochester Institute of Technology (USA) – Master of Science in Professional Studies
The Master of Science in Professional Studies allows learners the opportunity to draw on courses offered across RIT graduate programs. Learners who hold the MITx MicroMasters credential in Statistics and Data Science may apply any time during the year and upon acceptance, will be awarded 12 credit hours of the 33 required for the degree.

Doane University (USA) – Master’s Degree in Business Administration (MBA)
Upon acceptance into Doane's MBA program, the Statistics and Data Science MicroMasters will satisfy the emphasis area and the learners will only need to take 21 credit hours to complete their Master of Business Administration degree.

Curtin University (Australia) – Master of Predictive Analytics (Finance and Investment Analytics stream)
Curtin Business School provides a pathway for credential holders of the MITx MicroMasters in Statistics and Data Science to their Master of Predictive Analytics (Finance and Investment Analytics stream). If a learner applies for admission to the Master of Predictive Analytics (Finance and Investment Analytics stream) at Curtin University, and is accepted, the MicroMasters credential will count towards 25% of the coursework required for graduation.

Deakin University (Australia)
Deakin offers MITx MicroMasters credential holders four units’ credit towards the completion of these online Master’s degree programs:
Master of Business Analytics (Online)
Master of Health Economics (Online)
Master of Information Systems (Online)
Master of Public Health (Online)
Master of Data Analytics (Online)
Master of Cyber Security Professional (Online)
Master of Nutrition and Population Health (On campus)

In addition, a third of the credits will be offered towards the online Master of Information Technology.

For MITx MicroMasters credential holders who also hold a bachelor’s degree in the same or a related field, Deakin offers two units’ credit towards the completion of the online Master of Human Nutrition. For graduates who do not hold a bachelor’s degree in the same or a related field, the MITx MicroMasters program in Statistics and Data Science will be an entry pathway to the Master of Human Nutrition. (Normally applicants without a bachelor’s degree in the same or a related field are required to complete a Graduate Certificate of Human Nutrition as the entry criterion.)

Galileo University (Guatamala) – Master’s Program in Data Science
Galileo University will offer the credential holders of the MITx MicroMasters in Statistics and Data Science the possibility of earning an equivalent of one year of the total graduate credits towards the completion of the Master’s degree in Data Science.

Reykjavík University (Iceland)
Reykjavík University School of Computer Science offers the credential holders of the MITx MicroMasters in Statistics and Data Science the possibility of earning 30 ECTS credits of the total graduate credits towards the completion of the Master's in Computer Science.
Reykjavík University School of Business offers the credential holders of the MITx MicroMasters in Statistics and Data Science the possibility of earning 26 ECTS credits of the total graduate credits towards the completion of the following Master’s programs:
Master of Business Management
Master of Science (MSc) in Business Management
Master of Information Management
Master of Science (MSc) in Information Management

RMIT University (Australia) – Master of Data Science
RMIT University will grant academic credit towards a Master of Data Science for learners who successfully earn a MITx MicroMasters credential in the MITx MicroMasters program in Statistics and Data Science.

Who can take this course?

Unfortunately, learners from one or more of the following countries or regions will not be able to register for some or all of the courses in this program: Iran, Cuba and the Crimea region of Ukraine. Please check the individual course About Pages for specific direction. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. EdX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

Also in Data Science at edX

Propelling

Drive your career forward with university-backed credit programs and verified certificates

Convenient

Study and demonstrate knowledge on your schedule

Flexible

Try a course before you pay

Supportive

Learn with university partners and peers from around the world