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Data Science and Machine Learning Course with MIT
This Post Graduate Program in Data Science and Machine Learning is designed in collaboration with MIT faculty and industry experts to help you master the domain. The program combines live sessions from industry professionals with e-learning content from MIT faculty, offering a unique blend of theoretical knowledge and practical skills. Through hands-on projects and real-world case studies, you'll gain expertise in Python programming, statistical analysis, machine learning algorithms, and deep learning. The program includes comprehensive placement support with guaranteed job opportunities and industry-recognized certifications from both Intellipaat and MITx.
4.8
(6,230 ratings)
Instructors:
English
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Course Start Date:
15th Nov, 2025
Application Deadline:
15th Nov, 2025
Duration:
8 Months
₹ 99,000
Overview
Master data science and machine learning with MIT faculty and industry experts in this comprehensive program. Gain practical skills through real-world projects, receive placement assistance, and earn industry-recognized certifications. The program combines theoretical knowledge with hands-on experience, preparing you for a successful career in data science.
Why Technology & Analytics?
This program stands out for its unique collaboration with MIT, comprehensive curriculum covering both fundamentals and advanced concepts, guaranteed job opportunities, and practical learning approach. The blend of MIT faculty expertise and industry professional guidance ensures you gain both theoretical knowledge and practical skills essential for success in the data science field.
What does this course have to offer?
Key Highlights
24/7 Support
Live Sessions across 8 months
100% Job Opportunities Guaranteed
20+ Industry Capstone Projects
MITx Certification Option
Dedicated Learning Management Team
Revision & Doubt Clearing Sessions
Who is this programme for?
Technical and non-technical graduates
College students in final year
Working professionals up to 30 years
IT professionals seeking career transition
Freshers interested in data science
Professionals looking to upskill
Minimum Eligibility
Master's degree required
Comfortable with English language
Senior management experience preferred
Strong research aptitude
Who is the programme for?
The admission process consists of three simple steps: application submission, review by admission panel, and final selection. Selected candidates must maintain 85% attendance, complete all assignments and projects, and clear the Placement Readiness Test.
Selection process
How to apply?
Curriculum
The curriculum is structured across 11 comprehensive modules covering SQL, Python Programming, Data Analysis, Statistics, Machine Learning, Power BI, Deep Learning, and more. Each module includes hands-on projects and case studies. The program concludes with a capstone project to demonstrate practical application of learned concepts.
There are 11 semesters in this course
The program delivers comprehensive training in data science fundamentals and advanced concepts through 11 carefully designed modules. Starting with SQL and Python basics, it progresses through data analysis, statistics, and machine learning, culminating in deep learning and practical applications. Each module integrates theory with hands-on projects and real-world case studies.
Module 1
8 Months to complete · 218 lectures
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 9
Module 10
Module 11
Programme Length
8 months of intensive training with weekend classes
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Assistant Director of Education of the MicroMasters in SDS at MIT
Karene Chu is an accomplished mathematician with a Ph.D. from the University of Toronto, earned in 2012. She has an extensive background in research, focusing on knot theory and quantum invariants. Her career includes postdoctoral fellowships at both the University of Toronto and the Fields Institute, as well as at MIT. In 2015, she transitioned to a role as a Digital Learning Lab Fellow at MIT, where she made valuable contributions to the MITx online courses in Calculus and Differential Equations. Later, she joined the Institute for Data, Systems, and Society, where she has been instrumental in the development and management of the MicroMasters Program in Statistics and Data Science. Currently, she serves as the Assistant Director of Education for the MicroMasters in SDS and a Digital Learning Fellow.
Professor of Computer Science at MIT
Tommi S. Jaakkola is a distinguished professor at MIT, with a background in theoretical physics (M.Sc. from Helsinki University of Technology, 1992) and a Ph.D. in computational neuroscience from MIT (1997). After a postdoctoral position in computational molecular biology, he joined the MIT EECS faculty in 1998. Jaakkola's research spans many areas of machine learning, statistical inference, and the development of algorithms for problems involving incomplete data. His applied research focuses on natural language processing, computational chemistry, and computational functional genomics. He leads multiple impactful projects, including work on interpretability in complex machine learning models and structured prediction through randomization
Tuition Fee
The program fee is ₹99,000 (all-inclusive) without MITx certification. An additional ₹30,000 is required for MITx certification vouchers. Flexible payment options including EMI starting at ₹4,000/month are available through financing partners.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
The learning experience combines weekend live classes with self-paced content, featuring expert-led sessions, interactive projects, and dedicated support. Students benefit from one-on-one mentoring, group activities, and regular doubt-clearing sessions.
University Experience
Students gain access to industry-standard tools, dedicated mentorship, and a comprehensive learning platform. The program includes group activities, hackathons, and project evaluations, creating an immersive learning environment with both practical and theoretical components.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Massachusetts Institute of Technology (MIT) is a prestigious private research university located in Cambridge, Massachusetts. Founded in 1861, MIT has played a crucial role in advancing technology, science, and innovation. The institute is renowned for its rigorous academic programs, cutting-edge research, and entrepreneurial culture. MIT's mission is to advance knowledge and educate students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century. The university is organized into five schools: Architecture and Planning; Engineering; Humanities, Arts, and Social Sciences; Management; and Science, along with the Schwarzman College of Computing. MIT's approach to education emphasizes hands-on learning, interdisciplinary collaboration, and the application of knowledge to real-world problems.
1
QS World University Rankings
11,920
Total enrollment
4,576
Undergraduate students
Affiliation & Recognition
Association of Public and Land-grant Universities
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Association of American Universities
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
1 Course
MIT Professor Specializing in Precision Machines and Mechanisms
Martin Culpepper is a professor at the Massachusetts Institute of Technology (MIT) with a focus on the theory, design, and fabrication of next-generation precision machines and mechanisms. His research interests center around the development of compliant mechanism-based devices and machines that operate at micro, meso, and macro scales, applicable in manufacturing, metrology, manipulation, and robotics.
1 Course
Founder and Executive Director of LaunchX
Laurie Stach is the Founder and Executive Director of LaunchX, an entrepreneurship program designed for high school students. With a background as an instructor at MIT and as the Program Manager for High School Education at the Martin Trust Center for MIT Entrepreneurship, Laurie has a strong foundation in fostering entrepreneurial skills among young learners.
Career services
MIT's Career Advising & Professional Development (CAPD) office provides comprehensive support to students and alumni in their career exploration and professional development. CAPD offers a wide range of services, including one-on-one career counseling, resume and cover letter reviews, interview preparation, and networking opportunities. The office organizes career fairs, on-campus recruiting events, and information sessions with potential employers. MIT's strong industry connections and alumni network provide students with access to internships and job opportunities at leading companies and organizations worldwide. The institute's emphasis on practical, hands-on learning and research experiences enhances students' employability. CAPD also supports students interested in graduate school applications, fellowships, and entrepreneurship. The office's services extend beyond graduation, offering lifelong career support to MIT alumni.
98%
Career outcomes rate
$126,841
Average starting salary for undergraduates
90.2%
Graduates employed within 3 months
Course Start Date:
15th Nov, 2025
Application Deadline:
15th Nov, 2025
Duration:
8 Months
₹ 99,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.