Course Structure

Semester 1st

Sr No

Code

Course Name

L

T

P

C

CH

1

25MTT-101 

Engineering Mathematics 

3

1

0

4

4

2

25CSH-107 

Programming for Problem Solving (Microsoft)

3

0

1

4

5

3

25PYH-103

Physics for Computational Technologies 

3

0

1

4

5

4

25CST-103 

Cybersecurity Fundamentals (Microsoft)

3

0

0

3

3

5

25UCT-102 

Foundation and Application of AI 

2

0

0

2

2

6

 25CSH-111

English Communication I (Microsoft)

2

0

1

3

4

7

25MAT-103 

Design Thinking (Microsoft)

2

0

0

2

2

8

25CSR-108 

Project Based Learning-I (Microsoft)

0

0

2

2

4

Total

18

1

5

24

29

Cumulative Credits

24


Semester 2nd

Sr No

Code

Course Name

L

T

P

C

CH

1

Linear Algebra and Vector Calculus 

3

1

0

4

4

2

Programming in Python (Microsoft)

3

0

1

4

5

3

Computer Ecosystem 

3

0

1

4

5

4

Data Structures and Algorithms I (Microsoft)

3

0

1

4

5

5

Network Security (Microsoft)

2

0

0

2

2

6

English Communication II (Microsoft)

2

0

1

3

4

7

Universal Human Values

2

0

0

2

2

8

Project based Learning-II (Microsoft)

0

0

2

2

4

Total

18

1

6

25

31

Cumulative Credits

49


Semester 3rd

Sr No

Code

Course Name

L

T

P

C

CH

1

 

System Design (Microsoft)

3

0

0

3

3

2

 

Computer Organization & Architecture

3

0

0

3

3

3

 

Database Management System (Microsoft)

3

0

1

4

5

4

 

Computer Networks

2

0

0

2

2

5

 

Operating System 

3

0

1

4

5

6

 

Software Engineering

2

0

0

2

2

7

 

Cloud Security (Microsoft)

3

0

0

3

3

8

 

Project Based Learning-III (Microsoft)

0

0

2

2

4

Total

19

0

4

23

27

Cumulative Credits

72


Semester 4th

Sr No

Code

Course Name

L

T

P

C

CH

1

 

TPP: Soft Skills-2

0

0

2

2

4

2

 

TPP: Aptitude-2

0

4

0

4

4

3

 

Object-Oriented Programming (Microsoft)

3

0

1

4

5

4

 

Algorithms and Data Structures II (Microsoft)

3

0

1

4

5

5

 

Full Stack Development (Microsoft)

3

0

1

4

5

6

 

Digital Image Processing 

3

0

0

3

3

7

 

Project Based Learning-IV (Microsoft)

0

0

2

2

4

Total

12

4

7

23

30

Cumulative Credits

95


Semester 5th

Sr No

Code

Course Name

L

T

P

C

CH

1

 

Machine Learning Fundamentals (Microsoft)

3

0

1

4

5

MC

2

 

Introduction to Generative AI (Microsoft)

3

0

1

4

5

MC

3

 

Natural Language Processing (Microsoft)

3

0

1

4

5

MC

4

 

AI for Cyber Threat Intelligence (Microsoft)

2

0

0

2

2

MI

5

 

TPP: Soft Skills-3

0

0

2

2

4

SE

6

 

TPP: Aptitude-3

0

4

0

4

4

AE

7

 

Project Based Learning-V  (Microsoft)

0

0

2

2

4

RP

8

 

NTPP: Colloquium

0

2

0

2

2

SE

9

 

NTPP: Compiler Design

3

1

0

4

4

MC

10

 

Environmental Study and Disaster Management

2

0

0

2

2

VAC

Total

13

4

7

24

31

Cumulative Credits

119


Semester 6th

Sr No

Code

Course Name

L

T

P

C

CH

1

 

Deep Learning (Microsoft)

3

0

1

4

5

2

 

Generative Adversarial Networks (GANs) (Microsoft)

3

0

1

4

5

3

 

Reinforcement Learning (Microsoft)

3

0

0

3

3

4

 

AI in Healthcare Security (Microsoft)

3

0

1

4

5

5

 

TPP: Soft Skills-4

0

0

2

2

4

6

 

TPP: Aptitude-4

0

2

0

2

2

7

 

Project Based Learning-VI (Microsoft)

0

0

2

2

4

8

 

NTPP: Distributed System

3

0

1

4

5

9

 

Gender and Diversity

1

0

0

1

1

Total

13

2

7

22

29

Cumulative Credits

141


Semester 7th

Sr No

Code

Course Name

L

T

P

C

CH

1

 

Advanced Topics in Generative AI (Microsoft)

3

0

1

4

5

2

 

Ethical AI and Responsible Computing (Microsoft)

3

0

0

3

3

3

 

Elective I 

3

0

0

3

3

4

 

Project based Learning-VII (Microsoft)

0

0

2

2

4

5

 

Internship/ Industrial Training (Microsoft)

0

4

0

4

4

Total

9

4

3

16

19

Cumulative Credits

157


Semester 8th

Sr No

Code

Course Name

L

T

P

C

CH

1

 

Elective II 

3

0

0

3

3

2

 

Seminar on Current Trends in Generative AI (Microsoft)

2

0

0

2

2

3

 

Project based Learning-VIII (Microsoft)

0

0

2

2

4

4

 

Industry Collaboration Project (Microsoft)

0

6

0

6

6

Total

5

6

2

13

15

Cumulative Credits

170


How to Apply?

Step 1

Sign Up

Sign up or Register for CUCET by providing basic details (Name, Email ID, Mobile No., State, Gender, and Password). Your Email ID will serve as your Username for the portal, while you will set your password upon registration.

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 2

Apply for CUCET (Eligibility and Scholarship Test)

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 3

Admission

You become eligible for admission into Chandigarh University after clearing the CUCET examination. Following your attempt at CUCET, the result will shortly be intimated, based on which you can submit your application for admission and avail merit-based scholarship.

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