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IIT Madras BS Data Science and Electronics Systems Admission for May 2025 Batch: Check All Details Here

This article summarises the eligibility criteria, fee structure and core and elective courses offered in the Bachelor of Science in Data Science and Electronics Systems program of the Indian Institute of Technology Madras. Additionally, the article also mentions the registration dates and the applicable fee for the entrance test.

Pratyasha Chaturvedi
May 1, 2025, 13:39 IST
IIT Madras BS Data Science and Electronics Systems Admission for May 2025 Batch
IIT Madras BS Data Science and Electronics Systems Admission for May 2025 Batch

 

Applications for the Bachelor of Science in Data Science and Electronics Systems program at the Indian Institute of Technology, Madras, can now be registered through the admissions portal. It is a four-year degree with choices to drop out at the diploma, foundational, and BSc degree levels.

The application registration for the May 2025 batch started on February 18, 2025 and will conclude on May 20, 2025. The exam for admission to this course will be held on July 13, 2025. For the applicants to appear in the entrance test, an application fee is required. For the candidate belonging to the General and OBC category, the applicable fee is INR 3000; for the candidate belonging to the reserved category, the applicable fee is INR 1500. For more detailed information, candidates are advised to check the official website of the institute.

Important Registration Dates

Eligibility Criteria For BS Data Science and Electronics Systems of IIT Madras

The Indian Institute of Technology, Madras, has provided a set of eligibility criteria for applicants to be eligible to enroll in the Bachelor of Science in Data Science and Electronics Systems program for the May 2025 batch.

Below is the list of the eligibility criteria for admission to the Bachelor of Science and Electronics Systems program of the Indian Institute of Technology, Madras:-

  • There is no age limit provided by the institute to be eligible for admission to the program.
  • A candidate must have passed class 12th in any stream with English as a compulsory subject from a recognised board.
  • Candidates who are eligible to take the JEE Advanced exam this year can enroll in the program right away.

Fee Structure for BS Data Science and Electronics Systems of IIT Madras

The Indian Institute of Technology, Madras, has provided a fee structure for the Bachelor of Science in Data Science and Electronics Systems for the May 2025 Batch. The applicants who will be pursuing this course will have to pay the fee for only the course they register for in a specific term, each term.

Below is the breakdown of the fee structure for the Bachelor of Science in Data Science and Electronics Systems at IIT Madras:-

Particulars
Total Fee 
BS degree
₹ 3,15,000 - ₹ 3,51,000
Foundation Only
₹ 32,000
BSc Degree
₹ 2,21,000 - ₹ 2,27,000
Foundation and Two Diplomas
₹ 1,57,000
Foundation and One Diploma
₹ 94,500

Courses for BS Data Science and Electronics Systems 

The Indian Institute of Technology, Madras, provides core and elective courses for the BS Data Science and Electronics Systems. After completing 142 credits and fulfilling all course requirements, the candidate can earn a Bachelor of Science in Data Science and Applications from IIT Madras.

Below is the list of the core and elective courses provided by the Indian Institute of Technology, Madras, for the BS Data Science and Electronics Systems program for the May 2025 Batch:-

Core Courses:-

  • Machine Learning Operations (MLOps)
  • Generative AI
  • Deep Learning Practice
  • Game Theory and Strategy
  • Deep Learning for Computer Vision
  • Large Language Models
  • Programming in C
  • Statistical Computing
  • Linear Statistical Models
  • Introduction to Big Data
  • Market Research
  • Industry 4.0
  • Speech Technology
  • Data Visualisation Design
  • Algorithmic Thinking in Bioinformatics
  • Deep Learning
  • Software Testing
  • Software Engineering
  • AI: Search Methods for Problem Solving
  • Strategies for Professional Growth
  • Big Data and Biological Networks
  • Special topics in Machine Learning (Reinforcement Learning)
  • Design Thinking for Data-Driven App Development
  • Sequential Decision Making
  • Privacy & Security in Online Social Media
  • Financial Forensics
  • Advanced Algorithms
  • Computer Systems Design
  • Mathematical Thinking
  • Introduction to Natural Language Processing (i-NLP)
  • Managerial Economics
  • Corporate Finance
  • Operating Systems

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