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Overview
Delivered by globally renowned MIT faculty and researchers, this AI and Data Science - Leveraging Responsible AI, Data and Statistics for Practical Impact will position you for impactful career growth in DS and AI.
This programme is ideal for
Professionals ready to advance their skills in AI, Data Science, and Machine Learning
- Building Expertise for AI-driven Roles
Professionals looking to build expertise in AI, Data Science, and Machine Learning through hands-on projects and real-world applications.
- Driving Actionable Insights
Individuals seeking to enhance their ability to turn complex data into actionable insights for better business decision-making.
- Leading AI Initiatives
Professionals aiming to lead or contribute to AI and Data Science initiatives across industries.
- Solving Business Challenges
Professionals interested in applying advanced AI techniques like Generative AI, Deep Learning, and Recommendation Systems to solve business challenges.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Masterclass on Data Analysis with Generative Al
- Making Sense of Unstructured Data
- Regression and Prediction
- Classification and Hypothesis Testing
- Project Week and GenAl Masterclass
- Deep Learning and Computer Vision
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Starting
Language
English
Delivered
Online
Campus Location
- Cambridge, United States
Disciplines
Data Science & Big Data Machine Learning View 213 other Short Courses in Machine Learning 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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents2500 USD / full≈ 2500 USD / full - Out-of-State2500 USD / full≈ 2500 USD / full
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Domestic
Applies to youIn-State2500 USD / full≈ 2500 USD / full
Funding
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