Course Structure

Semester: 1st

Sr. No.

Course Name

L

T

P

C

CH

1

Mathematical Foundations in Data Science 

3

1

0

4

4

2

Data Base management systems (DBMS) 

3

0

1

4

5

3

Data Structures and Algorithms using Python 

3

0

1

4

5

4

Python Programming 

3

0

2

5

7

5

Cloud computing for Data Science 

4

0

0

4

4

Total Credits 

     

21

25

Cumulative Credits

21

Semester: 2nd

Sr. No.

Course Name

L

T

P

C

CH

1

Data Analytics 

3

0

1

4

5

2

Machine Learning with Lab 

3

0

1

4

5

3

Cloud Data Warehousing

3   

0

1

4

5

4

Probability and Statistics 

3

0

1

4

5

5

Elective-1

2

0

1

3

4

6

Research Methodology and Scientific communication

0

0

2

2

4

Total Credits 

     

21

28

Cumulative Credits

42

Semester: 3rd

Sr. No.

Course Name

L

T

P

C

CH

1

Deep Learning with Py-torch

3

0

1

4

5

2

Data Visualization using Power BI/Tableau

3

0

1

4

5

3

Natural Language Processing (NLPs) 

3

0

1

4

5

4

Multivariate Data Analysis 

3

0

1

4

5

5

Time series Analysis

3

0

1

4

5

6

Elective-2

2

0

1

3

4

Total Credits 

     

23

29

Cumulative Credits

65

Semester: 4th

Sr. No.

Course Name

L

T

P

C

CH

1

Research work/ Dissertation

12

0

0

12

Total Credits 

     

12

Cumulative Credits

87

List of Electives

S.No.

Subject Code 

Subject Name 

L

T

P

Credits

1

 

Block chain technology 

2

0

1

3

2

 

Healthcare Data Analytics

2

0

1

3

3

 

Exploratory Data Analysis

2

0

1

3

4

 

Financial Analytics

2

0

1

3

5

 

Bayesian Data Analysis 

2

0

1

3

6

 

Social Network Analysis 

2

0

1

3

7

 

Geospatial Data Analysis 

2

0

1

3

8

 

Reinforcement Learning

2

0

1

3

9

 

Stochastic Modeling 

2

0

1

3

10

 

Data cleaning and Mining 

2

0

1

3

11

 

Regression Analysis and Predictive models

2

0

1

3

12

 

Applications for Generative AI 

2

0

1

3

13

 

Computer Vision and Imaging 

2

0

1

3

Basket Subjects in MSc Data Science Program

Basket

Course Title

PE 1:

Data Warehousing and Mining

Parallel and Object Orient Data Base

PE 2:

Healthcare Analytics

Financial Analytics

PE 3:

Distributed Databases

Relational Database management Systems (RDBMS)

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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