Massachusetts Institute of Technology (MIT) Multiple locations
Cambridge , Massachusetts , United States
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Featured byMassachusetts Institute of Technology (MIT)
Overview
Why Join the Data Science and Machine Learning - Making Data-Driven Decisions program at Massachusetts Institute of Technology (MIT) ?
Learn from renowned MIT Faculty
- Recorded Video Lectures from world-renowned MIT Faculty.
- Curriculum designed to build industry-valued skills.
- Live mentorship and guidance from data science and machine learning practitioners on weekends.
- Collaborative yet personalized sessions in small groups.
- Work on 3 industry-relevant projects and 50+ case studies.
- Graded activities assessments and discussions on Great Learning forums.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Data Science
- Making Sense of Unstructured Data
- Regression and Prediction
- Classification and Hypothesis Testing
- Deep Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Machine Learning View 578 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Data scientists, data analysts, and professionals who wish to turn large volumes of data into actionable insights
- Early career professionals and senior managers, including Technical managers, Business intelligence analysts, IT practitioners, Management consultants, and Business managers.
- Those with some academic/ professional training in applied mathematics/ statistics. Participants without this experience will have to put in extra work and will be provided support by Great Learning.
Technological requirements
The learners are required to bring their own laptops. But the necessary technology requirement shall be shared during registration.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 3 months. -
National
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 3 months. -
In-State
2500 USD/fullTuition FeeBased on the tuition of 2500 USD for the full programme during 3 months.
Funding
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