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:

Karene Chu

Tommi Jaakkola

English

Course Start Date:
2nd Feb 2025
Applications Deadline:
2nd Feb 2025
Duration:
8 Months

₹ 99,000

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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

B.E., B.Tech, B.Sc., BCA, B.Com, M.Com, M.E., M.Tech, M.Sc., or MCA
Minimum 60% throughout academic journey
Must be legally allowed to work in India
Valid Aadhar Card and PAN Card required
Must pass background check

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. The program offers flexible payment options including EMI starting at ₹4,000/month.

Important Dates

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

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.

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

Association of American Universities

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:
2nd Feb 2025
Applications Deadline:
2nd Feb 2025
Duration:
8 Months

₹ 99,000

Add to compare

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

Karene Chu

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.

Tommi Jaakkola

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

Testimonials

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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

Martin Culpepper

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.

Laurie Stach

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.

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.

What is the duration of the program?

Do I need to pay extra for MITx certification?

What are the placement assistance details?

Is there an EMI option available?