Admission Helpline1800121288800
Your Department in a Nutshell
Did You Know?

4300+

Patents since inception have been filed by Chandigarh University

Did You Know?

50+

Open Electives are offered by Chandigarh University

Did You Know?

5 Cr.

have been kept as a reserve by Chandigarh University for Research & Innovation Projects

Did You Know?

110+

Students from Chandigarh University have been hired by Mindtree - Highest in India

Course Curriculum That Satisfies Global Education Standards.

Semester 1

Course Code

Course Name

L

T

P

C

CH

 25SDH-601

Fundamentals of Programming

3

0

2

4

5

 25SDH-602

Data Base Management System

3

0

2

4

5

 25SDH-603

Design and Analysis of Algorithms

2

0

2

3

4

 25SDT-604

Evolutionary Algorithms and Numerical Optimization

4

0

0

4

4

25SMT-605

Statistical Methods

3

1

0

4

4

25SMT-606

Mathematical Methods for Data Sciences

3

1

0

4

4

Total Credits

18

2

6

23

26

Cumulative Credits

23

Note:1. Massive Online Open Courses (MOOC's) equivalent to 10% of the total Credits is mandatory during two year degree program.

2. One Value Added Course/Professional certification per semester is mandatory.


Semester 2

Course Code

Course Name

L

T

P

C

CH

25SDH-651

Data Visualization

3

0

2

4

5

25SDH-652

Big Data

3

0

2

4

5

25SDH-653

Machine Learning

3

0

2

4

5

25SMT-654

Statistical Inference

3

0

0

3

3

25SDT-655

Sampling and Design of Experiments

3

0

0

3

3

25SDN-656

*Seminar

 0

2

0

2

2

Total Credits

15

2

6

20

23

Cumulative Credits

43

Note:1. *Seminar class will be held in computer lab and will be evaluated as per seminar rubrics.

2. Summer Training of three weeks (90 hours) is compulsory after 2nd semester examination and evaluation will be done in 3rd semester.

3. Students who exit at the end of 1st Year, shall be awarded as Post Graduate Diploma.

4. Students who have completed 4 years Bachelor degree program with Hons/Hons with Research or 3 years Bachelor degree program with one-year Post Graduate Diploma in Concerned Subject can be admitted to PG 2nd Year subject to fulfilment of all conditions.

5. One Value Added Course/Professional certification per semester is mandatory.

6. Students can opt either Training and Placement Program (TPP) Group or Non Training and Placement Program (TPP) Group and they will continue with the same group in the 3rd semester.


Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

25TDP-620

Professional Soft Skills – I

0

0

4

2

4

25TDT-621

Aptitude & Reasoning-I

0

4

0

4

4

Non Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

25SDT-658

Software Management System

3

0

0

3

3

25SDT-659

Web Technologies

3

0

0

3

3

Semester 3

Course Code

Course Name

L

T

P

C

CH

25SDH-701

Business Analytics

3

0

2

4

5

25SDH-702

Deep Learning

3

0

2

4

5

25SMH-703

Internet of Things

3

0

2

4

5

25SDT-7**

Elective-I

4

0

0

4

4

25SDR-704

#Dissertation-Part1

0

0

8

4

8

25SDI-705

Summer Training

0

0

0

5

-

Total Credits

13

0

14

25

27

Cumulative Credits

68

Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

25TDP-721

Professional Soft Skills – II

0

0

2

1

2

25TDT-722

Aptitude and Reasoning - II

0

2

0

2

2

25SDT-706

**Domain Aptitude

0

2

0

2

2

Non Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

25SDT-706

**Domain Aptitude

0

2

0

2

2

25SDT-707

Expert Systems

3

0

0

3

3

Note:

**Evaluation will be done as per rubrics.

#Publication is mandatory out of dissertation work and evaluation will be done as per approved rubrics.

25SDT-7** The two elective groups are:
(i) Electives Group-I (Data Analytics)
(ii) Electives Group-II (Data Mining)
and students are required to choose either Group-I or Group-II from the 3rd semester onwards, depending on seat availability. An equal number of seats will be allocated for each specialization, and students will continue with the same group in the 4th semester.

4. One Value Added Course/Professional certification per semester is mandatory.


List of Elective Subjects for 3rd Semester Group A-Data Analytics

Course Code

Course Name

L

T

P

C

CH

25SDT-708

Number Theory and Cryptography

4

0

0

4

4

25SDT-709

Pattern Recognition

4

0

0

4

4

25SDT-710

Regression Analysis

4

0

0

4

4

25SDT-711

Information Retrieval

4

0

0

4

4

25SDT-712

High Performance Computing (HPC)

4

0

0

4

4

List of Elective Subjects for 3rd Semester Group B-Data Mining

Course Code

Course Name

L

T

P

C

CH

25SDT-713

Graph Theory and Discrete Mathematics

4

0

0

4

4

25SDT-714

Clustering technique

4

0

0

4

4

25SDT-715

Artificial Intelligence

4

0

0

4

4

25SDT-716

Computer Networks

4

0

0

4

4

25SDT-717

Text Mining

4

0

0

4

4

Module 1 – Dissertation with Research Problem

Course Code

Course Name

L

T

P

C

CH

25SDR-751

#Dissertation-2

0

0

20

10

20

25SDT-7**

Elective-II

3

0

0

3

3

25SDT-7**

Elective-III

3

0

0

3

3

TOTAL

6

0

20

16

26

Cumulative Credits

Module 2 – Placement / Internship

Course Code

Course Name

L

T

P

C

CH

25SDR-752

Placement / Internship***

0

0

20

10

20

25SDT-7**

Elective-II

3

0

0

3

3

25SDT-7**

Elective-III

3

0

0

3

3

TOTAL

6

0

20

16

26

Cumulative Credits

84

Note:

1. Student can opt any one of the module mention above.

2. In module 2, the students can do the internship from other institutions/ industries.

3. #Publication is mandatory out of dissertation work and evaluation will be done as per approved rubrics.

4. ***Publication is mandatory for Module 2 students evaluation will be done as per approved rubrics.

5. The student must choose elective courses from the available options in the 4th semester for Module 1 and for Module 2, the student is required to complete elective courses from NPTEL/SWAYAM, as notified by the department before the start of the semester.


List of Elective Subjects for 4th Semester Group A-Data Analytics

Course Code

Course Name

L

T

P

C

CH

25SDT-753

Theory of Computation

3

0

0

3

3

25SDT-754

Soft computing

3

0

0

3

3

25SDT-755

Parallel  and Distributed Computing

3

0

0

3

3

25SDT-756

Time Series Analysis

3

0

0

3

3

25SDT-757

Business Intelligence

3

0

0

3

3

25SDT-758

Information Security & Cryptography

3

0

0

3

3

25SDT-759

Supply Chain Management

3

0

0

3

3

25SDT-760

Bayesian Data Analysis

3

0

0

3

3

25SDT-761

Multivariate Analysis

3

0

0

3

3

List of Elective Subjects for 4th Semester Group B-Data Mining

Course Code

Course Name

L

T

P

C

CH

25SDT-762

Data Mining  and Data Warehousing

3

0

0

3

3

25SDT-763

Optimization Techniques for Data Science

3

0

0

3

3

25SDT-764

Natural Language Processing

3

0

0

3

3

25SDT-765

Signal Processing

3

0

0

3

3

25SDT-766

Image Processing

3

0

0

3

3

25SDT-767

Network Security

3

0

0

3

3

25SDT-768

Social Network Aggregators

3

0

0

3

3

25SDT-769

Web Intelligence

3

0

0

3

3

25SDT-770

Business Data Mining

3

0

0

3

3

25SDT-771

Risk Management Financial Data

3

0

0

3

3

Semester - 1st

Course Code

Course Name

L

T

P

C

CH

Course Category

 24SDH-601

Fundamentals of Programming

3

0

2

4

5

Program Core

 24SDH-602

Data Base Management System

3

0

2

4

5

Program Core

 24SDH-603

Internet of Things

3

0

2

4

5

Program Core

 24SDT-604

Design and Analysis of Algorithms

3

0

0

3

3

Program Core

24SMT-605

Statistical Methods

3

1

0

4

4

Program Core

24SMT-606

Mathematical Methods for Data Sciences

3

1

0

4

4

Program Core

Total Credits

18

2

6

23

26

 

Cumulative Credits

23

Note:

1. Massive Online Open Courses (MOOC's) equivalent to 10% of the total Credits is mandatory during two year degree program.

2. One Value Added Course/Professional certification per semester is mandatory.



Semester - 2nd

Course Code

Course Name

L

T

P

C

CH

Course Category

24SDH-651

Data Visualization

2

0

4

4

6

Program Core

24SDH-652

Big Data

3

0

2

4

5

Program Core

24SDH-653

Machine Learning

3

0

2

4

5

Program Core

24SMT-654

Optimization Techniques for Data Science

3

1

0

4

4

Program Core

24SMT-655

Statistical Inference

3

0

0

3

3

Program Core

24SDT-656

Sampling and Design of Experiments

3

0

0

3

3

Program Core

24SDN-657

*Seminar

 0

2

0

2

2

Skill Enhancement

Total Credits

18

3

6

24

27

Cumulative Credits

47

Note:

1. * Seminar class will be held in computer lab and will be evaluated as per seminar rubrics.

2. Summer Training of three weeks (90 hours) is compulsory after 2nd semester examination and evaluation will be done in 3rd semester.

3. Students who exit at the end of 1st Year, shall be awarded as Post Graduate Diploma.

4. Students who have completed 4 years Bachelor degree program with Hons/Research or 3 years Bachelor degree program with one year Post Graduate Diploma in Concerned Subject may be admitted to PG 2nd Year.

5. One Value Added Course/Professional certification per semester is mandatory.

6. Students can opt either Training and Placement Program (TPP) Group or Non Training and Placement Program (TPP) Group.



Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

24TDP-620

Professional Soft Skills – I

0

0

4

2

4

24TDT-621

Aptitude & Reasoning-I

0

4

0

4

4

Non Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

24SDT-658

Software Management System

3

0

0

3

3

24SDT-659

Web Technologies

3

0

0

3

3


Semester - 3rd

Course Code

Course Name

L

T

P

C

CH

Course Category

24SDH-701

Business Analytics

3

0

2

4

5

Program Core

24SDH-702

Deep Learning

3

0

2

4

5

Program Core

24SDT-7**

Elective-I

4

0

0

4

4

Program Elective

24SDT-7**

Elective-II

4

0

0

4

4

Program Elective

24SDR-703

Dissertation-Part1#

0

0

8

4

8

Dissertation (PR)

24SDI-704

Summer Training

0

0

0

5

-

Project

Total Credits

14

0

4

25

26

 

Cumulative Credits

72

 

 


Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

24TDP-724

Professional Soft Skills – II

0

0

2

1

2

24TDT-722

Aptitude and Reasoning - II

0

2

0

2

2

24SDT-705

**Domain Aptitude

2

0

0

2

2

Non Training and Placement Program (TPP) Group

Course Code

Course Name

L

T

P

C

CH

24SDT-705

**Domain Aptitude

2

0

0

2

2

24SDT-706

Expert Systems

3

0

0

3

3

NOTE:

1. ** Evaluation as per rubrics

2. #Evaluation will be done as per rubrics and student should have one research paper out of dissertation work which is accepted/published in Scopus/ESCI/SCI/SCIE journal/conference during the degree.

3. 24SDT-7** The two elective groups are:
(i) Electives Group-I (Data Analytics)
(ii) Electives Group-II (Data Mining)

4. One Value Added Course/Professional certification per semester is mandatory.



List of Elective Subjects for 3rd Semester Group A-Data Analytics

Course Code

Course Name

L

T

P

C

CH

24SDT-707

Number Theory and Cryptography

4

0

0

4

4

24SDT-708

Pattern Recognition

4

0

0

4

4

24SDT-709

Regression Analysis

4

0

0

4

4

24SDT-710

Information Retrieval

4

0

0

4

4

24SDT-711

Theory of Computation

4

0

0

4

4

24SDT-712

High Performance Computing (HPC)

4

0

0

4

4

24SDT-713

Parallel  and Distributed Computing

4

0

0

4

4

24SDT-714

Soft computing

4

0

0

4

4

24SDT-715

Time Series Analysis

4

0

0

4

4

24SDT-716

Business Intelligence

4

0

0

4

4

24SDT-717

Information Security & Cryptography

4

0

0

4

4

24SDT-718

Supply Chain Management

4

0

0

4

4

24SDT-719

Bayesian Data Analysis

4

0

0

4

4

24SDT-720

Multivariate Analysis

4

0

0

4

4

List of Elective Subjects for 3rd Semester Group B-Data Mining

Course Code

Course Name

L

T

P

C

CH

24SDT-721

Graph Theory and Discrete Mathematics

4

0

0

4

4

24SDT-722

Clustering technique

4

0

0

4

4

24SDT-723

Artificial Intelligence

4

0

0

4

4

24SDT-724

Computer Networks

4

0

0

4

4

24SDT-725

Text Mining

4

0

0

4

4

24SDT-726

Data Mining  and Data Warehousing

4

0

0

4

4

24SDT-727

Natural Language Processing

4

0

0

4

4

24SDT-728

Signal Processing

4

0

0

4

4

24SDT-729

Image Processing

4

0

0

4

4

24SDT-730

Network Security

4

0

0

4

4

24SDT-731

Social Network Aggregators

4

0

0

4

4


Semester - 4th

Module 1 – Dissertation with Research Problem

Course Code

Course Name

L

T

P

C

CH

24SDR-751

Dissertation-2#

0

0

24

12

24

TOTAL

0

0

24

12

24

Cumulative Credits

Module 2 – Placement / Internship

Course Code

Course Name

L

T

P

C

CH

24SDI-752

Placement / Internship**

 0

0

0

12

-

TOTAL

0

0

0

12

-

Cumulative Credits

84

NOTE:

1. Student can opt any one of the module mention above.

2. In module 2, the students can do the internship from other institutions/ industries.

3. #Evaluation will be done as per rubrics and student should have one research paper out of dissertation work which is accepted/published in Scopus/ESCI/SCI journal/conference.

4. **Evaluation will be done as per rubrics and student should have one review paper out of dissertation work which is accepted/published in Scopus/ESCI/SCI journal/conference.



Program Core Basket

Course Code

Course Name

L

T

P

C

CH

 24SDH-601

Fundamentals of Programming(R/ Python)

3

0

2

4

5

 24SDH-602

Data Base Management System

3

0

2

4

5

 24SDH-603

Internet of Things

3

0

2

4

5

 24SDT-604

Design and Analysis of Algorithms

3

0

0

3

3

24SMT-605

Statistical Methods

3

1

0

4

4

24SMT-606

Mathematical Methods for Data Sciences

3

1

0

4

4

24SDH-651

Data Visualization

3

0

2

4

5

24SDH-652

Big Data

3

0

2

4

5

24SDH-653

Machine Learning

3

0

2

4

5

24SMT-655

Statistical Inference

4

0

0

4

4

24SDT-656

Sampling and Design of Experiments

3

1

0

4

4

24SDH-701

Business Analytics

3

0

2

4

5

24SDH-702

Deep Learning

3

0

2

4

5

Program Elective Basket

Course Code

Course Name

L

T

P

C

CH

24SDT-707

Number Theory and Cryptography

4

0

0

4

4

24SDT-708

Pattern Recognition

4

0

0

4

4

24SDT-709

Regression Analysis

4

0

0

4

4

24SDT-710

Information Retrieval

4

0

0

4

4

24SDT-711

Theory of Computation

4

0

0

4

4

24SDT-712

High Performance Computing (HPC)

4

0

0

4

4

24SDT-713

Parallel  and Distributed Computing

4

0

0

4

4

24SDT-714

Soft computing

4

0

0

4

4

24SDT-715

Time Series Analysis

4

0

0

4

4

24SDT-716

Business Intelligence

4

0

0

4

4

24SDT-717

Information Security & Cryptography

4

0

0

4

4

24SDT-718

Supply Chain Management

4

0

0

4

4

24SDT-719

Bayesian Data Analysis

4

0

0

4

4

24SDT-720

Multivariate Analysis

4

0

0

4

4

24SDT-721

Graph Theory and Discrete Mathematics

4

0

0

4

4

24SDT-722

Clustering technique

4

0

0

4

4

24SDT-723

Artificial Intelligence

4

0

0

4

4

24SDT-724

Computer Networks

4

0

0

4

4

24SDT-725

Text Mining

4

0

0

4

4

24SDT-726

Data Mining  and Data Warehousing

4

0

0

4

4

24SDT-727

Natural Language Processing

4

0

0

4

4

24SDT-728

Signal Processing

4

0

0

4

4

24SDT-729

Image Processing

4

0

0

4

4

24SDT-730

Network Security

4

0

0

4

4

24SDT-731

Social Network Aggregators

4

0

0

4

4

24SDT-732

Evolutionary Algorithms and Numerical Optimization

4

0

0

4

4

24SDT-733

Web Intelligence

4

0

0

4

4

24SDT-734

Business Data Mining

4

0

0

4

4

24SDT-735

Risk Management Financial Data

4

0

0

4

4


Ability Enhancement Basket

Course Code

Course Name

L

T

P

C

CH

24SDT-658

Software Management System

3

0

0

3

3

24SDT-659

Web Technologies

3

0

0

3

3

24SDT-706

Expert Systems

3

0

0

3

3

Skill Enhancement Basket

Course Code

Course Name

L

T

P

C

CH

24SDN-657

*Seminar

 0

2

0

2

2

24SDT-705

Domain Aptitude

2

0

0

2

2

24TDP-620

Professional Soft Skills – I

0

0

4

2

4

24TDT-621

Aptitude & Reasoning-I

0

4

0

4

4

24TDP-724

Professional Soft Skills – II

0

0

2

1

2

24TDT-722

Aptitude and Reasoning - II

0

2

0

2

2


Value-Added Courses (One Course Per Semester) Basket

SN

Course Code

Title

Category

L

T

P

C

CH

1

24SMV-316

Application of MATLAB in Mathematics

Value Added

2

0

0

2

2

2

24SMV-317

Introduction and Applications of R-Programming in Mathematics

Value Added

2

0

0

2

2

3

24SMV-318

Introduction and Applications of Python Programming

Value Added

2

0

0

2

2

4

24SMV-319

Introduction and Applications of Machine Learning

Value Added

2

0

0

2

2

5

24SMV-320

Introduction to Internet of Things

Value Added

2

0

0

2

2

6

24SMV-322

Fundamentals of Artificial Intelligence

Value Added

2

0

0

2

2

7

24SMV-322

Basics of Java Programming

Value Added

2

0

0

2

2

8

24SMV-323

Merchant Banking and Financial Service

Value Added

2

0

0

2

2

9

24SMV-324

Fundamentals of Marketing Management

Value Added

2

0

0

2

2

10

24SMV-325

Fundamental of Stock Market

Value Added

2

0

0

2

2

11

24SMV-326

Digital Marketing

Value Added

2

0

0

2

2

12

24SMV-327

Fundamentals of Financial Mathematics

Value Added

2

0

0

2

2

13

24SMV-328

Fundamentals of Excel

Value Added

2

0

0

2

2

14

24SMV-329

Search Engine Optimizations

Value Added

2

0

0

2

2

15

24SMV-330

Fundamentals of LaTeX

Value Added

2

0

0

2

2


You can also search for

Chandigarh University has Welcomed Students from more than 50 Countries

With more than 100+ Bachelors, Masters, and Doctoral programs to choose from, CU is one of the highly preferred destinations for International Students.

Explore More

A Guide to
Discover.
Learn.
Empower.

Career Guide 2024

View More

Predict Your
Future Career

Apply to view report

Apply Now

Detailed Report
on CU
Placements

View More

How to Apply?

Want To Become
An Expert In Your
Job Field?

Stay Fearless And Get Ready To Conquer Your Coursework. According to the U.S Bureau of Labor Statistics, the total employment is projected to grow by 165.4 million over the 2020–30 decade, which means an increase of 11.9 million jobs.

Apply Today