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M. Tech. in Energy Transition & Sustainability

Program Structure

+ Program Core 28 Credits
+ Program Electives (PE) 27 Credits
+ Open Electives (OE) 6 Credits

A Typical Two-Year Study Plan

Semester

Semester I

11 Credits
Lecture Courses 3
Total Contact Hours 13
Course Contact Hours
(L-T-P) 		Credits
Mathematical Foundations of MINDS 3-0-0 3
Machine Learning 3-0-2 4
Introduction to Artificial Intelligence 3-0-2 4
Contact Hours: L Lecture T Tutorial P Practical
Semester

Winter Term

3 Credits
Lecture Courses 0
Total Contact Hours 6
Course Contact Hours
(L-T-P) 		Credits
Cornerstone Project (Initiated) 0-0-6 3
Contact Hours: L Lecture T Tutorial P Practical
Semester

Semester II

11 Credits
Lecture Courses 4
Total Contact Hours 12
Course Contact Hours
(L-T-P) 		Credits
Data Mining 3-0-2 4
Ethical Considerations in MINDS 1-0-0 1
Program Elective (PE 1) 3-0-0 3
Open Elective (OE 1) 3-0-0 3
Contact Hours: L Lecture T Tutorial P Practical
Semester

Summer Term

3 Credits
Lecture Courses 0
Total Contact Hours 6
Course Contact Hours
(L-T-P) 		Credits
Summer Internship 0-0-6 3
Contact Hours: L Lecture T Tutorial P Practical
Semester

Semester III

18 Credits
Lecture Courses 0
Total Contact Hours 12
Course Contact Hours
(L-T-P) 		Credits
M. Tech. Project – Part I 0-0-12 6
Program Electives (PE 2, 3, 4) 0-0-0 12
Contact Hours: L Lecture T Tutorial P Practical
Semester

Semester IV

15 Credits
Lecture Courses 1
Total Contact Hours 27
Course Contact Hours
(L-T-P) 		Credits
Project Part II / Program Electives of Equivalent Credits 0-0-24 12
Open Elective (OE 2) 3-0-0 3
Contact Hours: L Lecture T Tutorial P Practical

A Typical Two Year Study Plan

Semester I

Courses Lecture courses Contact hours Credits
L T P Total
Mathematical Foundations of MINDS (3-0-0)
3 9 0 4 13 11
Machine Learning (3-0-2)
Introduction to Artificial Intelligence (3-0-2)

Winter Term

Courses Lecture courses Contact hours Credits
L T P Total
Cornerstone Project (Initiated) (0-0-6)
0 0 6 6 3

Semester II

Courses Lecture courses Contact hours Credits
L T P Total
Data Mining (3-0-2)
4 10 0 2 12 11
Ethical Considerations in MINDS (1-0-0)
Program Elective (PE 1) (3-0-0)
Open Elective (OE 1) (3-0-0)

Summer Term

Courses Lecture courses Contact hours Credits
L T P Total
Summer Internship (0-0-6)
0 0 6 6 3

Semester III

Courses Lecture courses Contact hours Credits
L T P Total
M. Tech. Project – Part I (0-0-12)
0 0 12 12 18
Program Electives (PE 2, 3, 4) (0-0-0)

Semester IV

Courses Lecture courses Contact hours Credits
L T P Total
Project Part II / Program Electives of Equivalent Credits (0-0-24)
1 3 0 24 27 15
Open Elective (OE 2) (3-0-0)

Semester I

Mathematical Foundations of MINDS

Credits: 3 LTP: 3-0-0

Machine Learning

Credits: 4 LTP: 3-0-2

Introduction to Artificial Intelligence

Credits: 4 LTP: 3-0-2

Winter Term

Cornerstone Project (Initiated)

Credits: 3 LTP: 0-0-6

Semester II

Data Mining

Credits: 4 LTP: 3-0-2

Ethical Considerations in MINDS

Credits: 1 LTP: 1-0-0

Program Elective (PE 1)

Credits: 3 LTP: 3-0-0

Open Elective (OE 1)

Credits: 3 LTP: 3-0-0

Summer Term

Summer Internship

Credits: 3 LTP: 0-0-6

Semester III

M. Tech. Project – Part I

Credits: 6 LTP: 0-0-12

Program Electives (PE 2, 3, 4)

Credits: 12 LTP: 0-0-0

Semester IV

Project Part II / Program Electives of Equivalent Credits

Credits: 12 LTP: 0-0-24

Open Elective (OE 2)

Credits: 3 LTP: 3-0-0

Program Electives

Electives are offered across multiple academic areas, allowing students to tailor the program to their research and career interests.

+ Mathematics & Foundations
+ Learning Systems
+ Data Science
+ AI Applications