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MIT-IDSS Data Science and Machine Learning Program

Last updated: Jan 19, 2022

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Summary

Target: All Nationalities

Award Value: Various

Host Institution: MIT Institute for Data, Systems and Society

deadline:

Updated Yearly

MIT-IDSS Data Science and Machine Learning Program

Last updated: Jan 19, 2022

Share this on:

Summary

Target: All Nationalities

Award Value: Various

Host Institution: MIT Institute for Data, Systems and Society

deadline:

Updated Yearly

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MIT-IDSS Data Science and Machine Learning ProgramAre you Data scientists, data analysts, and professionals who wish to turn large volumes of data into actionable insights, or an early career professional, senior managers, including Technical managers, Business intelligence analysts, IT practitioners, Management consultants, and Business managers wanting to upscale? Then MIT-IDSS Data Science and Machine Learning Program is for you!

Get hands-on training and live personalized mentorship on the application of concepts taught by the MIT IDSS faculty.

Program Description

IDSS offers two online data science programs in collaboration with Great Learning, an online education service provider and IDSS alliance member. With a global footprint in over 140 countries, Great Learning offers career-relevant programs in high-demand domains.

The MIT-IDSS Data Science and Machine Learning: Making Data-Driven Decisions Program is distinguished by its unique combination of MIT academic leadership, recorded lectures by MIT faculty, an application-based pedagogy, and personalized mentorship from industry experts.

Program Benefits

  • Self-paced program with recorded lectures from MIT faculty.
  • Live mentorship and guidance from data science and machine learning practitioners.
  • Industry-relevant, hands-on projects and case studies

Level and Area of Studies

All levels in multidisciplinary areas

Place of Studies

MIT Institute for Data, Systems and Society, Cambridge (Online Course)

Eligibility Criteria

Learners need to have:

  • prior experience of working with data.
  • Prior context and some academic/professional training in applied mathematics/statistics to work with data and make sense of the data.
  • Participants who do not have this experience will have to put in extra work to be able to learn effectively; Great Learning will provide the necessary support to such participants.

Application Procedure

  • Register by completing the online application form.
  • Your application will be reviewed to determine if it is fit for the program.
  • If selected, you will receive an offer for the upcoming cohort. Secure your seat by paying the fee.

Website and Application Link

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