Academics - IIT Madras Degree Program

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Applications Open now for May 2024 Batch | Applications Close: May 26, 2024 | Exam: Jul 07, 2024

Overall Structure

There are four levels in the IIT Madras Degree program and to get the BS Degree in Data Science and Applications from IIT Madras, a learner has to successfully complete all four levels.

There is also the flexibility to exit at any level. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education) or Diploma(s) from IIT Madras or BSc Degree in Programming and Data Science from IIT Madras or BS Degree in Data Science and Applications from IIT Madras.

Those who are interested in pursuing an exclusive Diploma Program in Programming or Data Science can also check out our Diploma Program website.

Courses and Credits in Each Level:

Foundation Level: 32 credits | 8 courses
Diploma Level:
- Programming: 27 credits | 6 courses + 2 projects
- Data Science: 27 credits | 6 courses + 2 projects
BSc Degree Level: 28 credits
BS Degree Level: 28 credits

Total credits to be earned to get:

BSc Degree: 114 credits
BS Degree: 142 credits

Completion time: 4 - 8 years

The time period for this is based on learner’s preferred pace and performance in assessments. Expected learner engagement will be approximately 10hrs/course/week.

Fees: Each term, pay only for courses you register for!

Refer Fee Structure.

Online Courses & Assignments

Duration of each course: 12 weeks - Each week comprising 2-3 hrs of videos, practice questions, text transcripts and online graded assignment(s).

Quizzes and Exams

In-person invigilated quizzes and exams as per the grading pattern defined for each course.

Term Structure

Every year is divided into three terms of four months each - January Term, May Term and September Term.

Each term of four months has 12 weeks of coursework (video lectures and assignments), 2 in-person invigilated Quizzes and End Term Exams. Depending on the course, assessments may include programming exams, mini projects, vivas, take home assignments, etc.

Course Registrations

In each term, a learner may register for upto 4 courses depending on their CCC (Credit Clearing Capability).

A learner’s CCC in the Foundation Level is calculated based on their performance in the Qualifier Exam or the previous term’s End Term Exams. The CCC in the Diploma Level and thereafter is 4.

All 8 courses in Foundation Level need to be successfully completed before registering for any Diploma Level course. Similarly, all Diploma Level courses & projects need to be successfully completed before registering for any Degree Level course.

Assessments

There are 3 types of assessments for each course:
Weekly Assignments which are online
monthly in-person Quizzes
in-person End Term Exam
View More Details

In addition, assessments may include programming exams, mini projects, vivas, take home assignments, etc.

Exam Cities

The Invigilated Quizzes and End Term exams are conducted in a number of cities spread across India. The map shows our current Exam Cities List. View List

Students residing/physically present in India on exam day

All students residing in India or physically present in India on the day of an in-centre exam must write exams at one of the exam centres in india.

Learners based outside India

We also conduct in-person exams in Bahrain, Kuwait, Oman and UAE.

Learners based out of other countries will be allowed to take up remote proctored exams. On exam day, students writing such internet based exams will be asked to pin the location exam is being taken from.

If any overseas students are planning to be in India on exam day, it is the student's responsibility to notify us ahead of time so that we can arrange for you to write the exam(s) in one of the exam centres in india; hall tickets will also be issued suitably. If any of these norms are violated, it will be considered as malpractice. Exam results may be withheld pending investigation and findings of the exam committee.

Note: Additional Exam Fee applies for all learners opting to write exams outside India.

If you reside outside India and cannot find a centre in your city / country, please write to ge@study.iitm.ac.in for assistance.

Fee Structure

For details about application fees, check Application Process in Admissions page.

Each term, pay only for the courses you register for in that specific term.

Goal	Total Credits	Total Fees INR
Foundation Only	32	₹32,000
Foundation + One Diploma	59	₹94,500
Foundation + Two Diplomas	86	₹1,57,000
BSc Degree	114	₹2,21,000 - ₹2,27,000
BS Degree	142	₹3,15,000 - ₹3,51,000

Fee waivers depend on category of learner and family income.

	Family Income > 5 LPA		Family Income > 1 LPA and <= 5 LPA		Family Income <= 1 LPA
	Fees	Docs Required	Fees	Docs Required	Fees	Docs Required
General	Full Fee	NIL	50% waiver	EWS + Family Income	75% waiver	EWS + Family Income
OBC	Full Fee	NIL	50% waiver	OBC-NCL + Family Income	75% waiver	OBC-NCL + Family Income
SC / ST	50% waiver	SC / ST	50% waiver	SC / ST	75% waiver	SC / ST + Family Income
PwD	50% waiver	PwD	50% waiver	PwD	75% waiver	PwD + EWS / OBC-NCL + Family Income
SC / ST + PwD	75% waiver	SC / ST + PwD	75% waiver	SC / ST + PwD	75% waiver	SC / ST + PwD

*Fee waiver is not be applicable for the International students.

The term family income for the purpose of availing fee waivers includes the income of the candidate, the income of his/her parents and spouse, also the income of his/her siblings and children below the age of 18 years.
Family income certificate is not required while applying for the Degree program, but will be required to avail fee weiver when joining the program. Download Family Income Certificate format

OBC-NCL / EWS certificate, if applicable, need to be obtained in following format while applying:
Download OBC-NCL Certificate format
Download EWS Certificate format

Note: If a learner does not pass a course in the term they registered for it, they will need to repeat the entire course in a later term with re-payment of full course fee. If a learner completed all course requirements, but couldn't attend the end term exam alone, they can choose to repeat the just the end term exam in the next term with the payment of an end term exam fee (₹1000 for foundational level courses; ₹2000 for diploma / degree level courses).

Foundation Level

The Foundation Level comprises courses in Mathematics, Statistics, Basics of Programming and Python, and English. These courses have been chosen to ensure that the learner who passes these successfully is well prepared to proceed to the Diploma Level courses.

Requirements for registration

The learner should apply for and clear the Qualifier Process.

Options on successful completion

Learners have the following two options when they successfully complete all 8 Foundational Level courses:

Exit: The learner may exit with a Foundational Certificate from Centre for Outreach and Digital Education (CODE), IIT Madras.

Proceed to next level: The learner can join the Diploma Level.

8 courses

32 credits

1 - 3 years

10 hrs/course/week

₹32,000*

*Refer Fee Structure

Course Name	Credits	Code	Prerequisites	Corequisites
Mathematics for Data Science I	4	BSMA1001	None	None
Statistics for Data Science I	4	BSMA1002	None	None
Computational Thinking	4	BSCS1001	None	None
English I	4	BSHS1001	None	None
Mathematics for Data Science II	4	BSMA1003	BSMA1001	None
Statistics for Data Science II	4	BSMA1004	BSMA1002, BSMA1001	BSMA1003
Programming in Python	4	BSCS1002	BSCS1001	None
English II	4	BSHS1002	BSHS1001	None

Diploma Level

There are two sections in the Diploma Level with courses for Diploma in Programming and courses for Diploma in Data Science. Each of these diplomas comprises 5 core courses, 2 projects and 1 skill enhancement course.

Requirements for registration

The learner should have cleared all 8 Foundation Level courses.

Options on successful completion

Learners have the following options based on the courses completed in this level:

If a learner has completed all the courses and projects in Foundation Level and both Diplomas, they can proceed to the BSc Degree Level.

OR they may exit with a Diploma in Programming from IIT Madras.

OR they may exit with a Diploma in Data Science from IIT Madras.

OR they may exit with both Diplomas from IIT Madras.

12 courses + 4 projects

54 credits

1 - 3 years

15 hrs/course/week

₹1,25,000*

*Refer Fee Structure

Courses for Diploma in Programming

The Diploma in Programming lays a sturdy foundation in databases and programming concepts with data structures and algorithms. The learner goes on to apply these in the building of a web application by the end of the diploma.

6 courses + 2 projects

27 credits

1 - 2 years

15 hrs/course/week

₹62,500*

*Refer Fee Structure

Course Name	Credits	Code	Prerequisites	Corequisites
Database Management Systems	4	BSCS2001	None	None
Programming, Data Structures and Algorithms using Python	4	BSCS2002	None	None
Modern Application Development I	4	BSCS2003	None	BSCS2001
PROJECT Modern Application Development I - Project	2	BSCS2003P	None	BSCS2003
Programming Concepts using Java	4	BSCS2005	None	None
Modern Application Development II	4	BSCS2006	BSCS2003	None
PROJECT Modern Application Development II - Project	2	BSCS2006P	BSCS2003P	BSCS2006
System Commands	3	BSSE2001	None	None

Courses for Diploma in Data Science

The Diploma in Data Science exposes the learner to the holistic approach of gathering, analysing, and interpreting data for a variety of problems. The courses on Business Data lays down the context and the need for the data, while the Machine Learning courses equip the learner to use and analyse this data towards impactful conclusions.

6 courses + 2 projects

27 credits

1 - 2 years

15 hrs/course/week

₹62,500*

*Refer Fee Structure

Course Name	Credits	Code	Prerequisites	Corequisites
Machine Learning Foundations	4	BSCS2004	None	None
Business Data Management	4	BSMS2001	None	None
PROJECT Business Data Management - Project	2	BSMS2001P	None	BSMS2001
Machine Learning Techniques	4	BSCS2007	None	BSCS2004
Machine Learning Practice	4	BSCS2008	BSCS2004, BSCS2007	None
PROJECT Machine Learning Practice - Project	2	BSCS2008P	None	BSCS2008
Business Analytics	4	BSMS2002	BSMS2001	None
Tools in Data Science	3	BSSE2002	None	BSCS2004

BSc Degree Level

for BSc in Programming and Data Science

Requirements for registration

The learner should have cleared all 8 courses in Foundation Level and all 12 courses + 4 projects in Diploma Level.

Options on successful completion

Once the learner successfully completes overall 114 credits including credits earned in all previous levels:

they can proceed to the BS Degree Level.

OR they may exit with a BSc Degree in Programming & Data Science from IIT Madras.

BSc Degree Level

28 credits (Total 114 credits)

1 - 3 years

15 hrs/course/week

₹64,000 - ₹70,000*

*Refer Fee Structure

BS Degree Level

for BS in Data Science and Applications

Requirements for registration

The learner should have earned 114 credits and completed the BSc Degree Level to enter the BS Degree Level.

Exit

Once the learner successfully completes 142 credits and the course requirements, they can exit with a BS Degree in Data Science and Applications from IIT Madras.

BS Degree Level

28 credits (Total 142 credits)

1 - 3 years

15 hrs/course/week

₹94,000 - ₹1,24,000*

*Refer Fee Structure

Degree Level Courses

Core Courses

Learner has to do a pair of core courses. Following are the options for Core Courses:

Core Courses Option I	Core Courses Option II
Software Testing	AI: Search Methods for Problem Solving
Software Engineering	Deep Learning

Elective Courses

Here is the list of elective courses offered in the program. In the BSc and BS level, a maximum of 4 credits can be transferred from NPTEL and there is the option to do an apprenticeship and transfer up to a maximum of 12 credits in the BS level.
(Note: List of elective courses may change each term depending on availability.)

1. Software Testing CORE COURSE

2. Software Engineering CORE COURSE

3. AI: Search Methods for Problem Solving CORE COURSE

4. Deep Learning CORE COURSE

5. Strategies for Professional Growth MANDATORY COURSE

6. Algorithmic Thinking in Bioinformatics

7. Big Data and Biological Networks

8. Introduction to Cryptography and Cyber Security

9. Data Visualization Design

10. Special topics in Machine Learning (Reinforcement Learning)

11. Thematic Ideas in Data Science

12. Speech Technology