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Master the skills needed to solve complex data challenges

Massachusetts Institute of Technology
MicroMasters® Program inStatistics and Data Science (Social Sciences Track)
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What you will learn

  • Learn the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge.
  • 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.
  • Finishing this MicroMasters program will prepare you for job titles such as: Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer.
  • 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 the foundations of data science, statistics, time series with interventions, and machine learning.

  • Expert instruction
    5 graduate-level courses
  • Instructor-led
    Assignments and exams have specific due dates
  • 1 year 2 months
    10 - 14 hours per week
  • Discounted price:$1,350.00 Original price:$1,500.00 USD
    For the full program experience

Courses in this program

MITx's Statistics and Data Science (Social Sciences Track) MicroMasters® Program

Meet your instructors
from Massachusetts Institute of Technology (MITx)

Esther Duflo
Sara Fisher Ellison
Philippe Rigollet
Jan-Christian Hütter
Karene Chu
John Tsitsiklis
Patrick Jaillet
Dimitri Bertsekas
Qing He
Eren Can Kizildag
Jimmy Li
Jagdish Ramakrishnan
Katie Szeto
Kuang Xu
Regina Barzilay
Tommi Jaakkola
Esther Duflo
Esther Duflo

Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics, winner of the 2019 Nobel Prize in Economic Sciences

MIT

Sara Fisher Ellison
Sara Fisher Ellison

Senior Lecturer, Economics

MIT

Philippe Rigollet
Philippe Rigollet

Associate Professor

Massachusetts Institute of Technology

Jan-Christian Hütter
Jan-Christian Hütter

Teaching Assistant

Massachusetts Institute of Technology

Karene Chu
Karene Chu

Digital Learning Scientist and Research Scientist

Massachusetts Institute of Technology

John Tsitsiklis
John Tsitsiklis

Professor, Department of Electrical Engineering and Computer Science

MIT

Patrick Jaillet
Patrick Jaillet

Professor, Electrical Engineering and Computer Science

MIT

Dimitri Bertsekas
Dimitri Bertsekas

Professor, Electrical Engineering and Computer Science

MIT

Qing He
Qing He

Teaching Assistant

MIT

Eren Can Kizildag
Eren Can Kizildag

Teaching Assistant

MIT

Jimmy Li
Jimmy Li

Teaching Assistant

MIT

Jagdish Ramakrishnan
Jagdish Ramakrishnan

Teaching Assistant

MIT

Katie Szeto
Katie Szeto

Teaching Assistant

MIT

Kuang Xu
Kuang Xu

Teaching Assistant

MIT

Regina Barzilay
Regina Barzilay

Delta Electronics Professor in the Department of Electrical Engineering and Computer Science

MIT

Tommi Jaakkola
Tommi Jaakkola

Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society

MIT

Experts from Massachusetts Institute of Technology (MITx) committed to teaching online learning

Program endorsements

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

Enrolling Now

Discounted price:$1,350.00 Original price:$1,500.00 USD

5 courses in 1 year 2 months

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