Course offering plan:

Course types                                    

Cumulative Credits

Program Core courses                                  (3)     

9

Specialization Requirement Courses                 (2)

6

Electives                                                             (3)

9

Thesis  

6

Proposed 1:  Core courses:

a.         Statistical and Mathematical Methods For Data Science (3)

b.         Tools and Techniques in Data Science (2+1)

c.         Machine Learning (3)

Proposed 2:  Specialization Core Courses (Choose any 2)

1. Big Data Analytics (3)

2. Natural Language Processing (3)

3. Deep Learning (3)

4. Distributed Data Processing (3)

Deficiency Courses:

1. Programming Fundamentals (Core Programming Course)

2. Data Structures & Algorithms OR Design & Analysis of Algorithms

3. Database Systems

Proposed 3: Electives Courses (Further Courses may be added as per requirements).

Sr. No.

Course Title

Credit Hours

1

Research Methodology

3

2

Big Data Analytics

3

3

Deep Learning

3

4

Natural Language Processing

3

5

 Distributed Data Processing

3

6

Advanced Computer Vision

3

7

Algorithmic trading

3

8

Bayesian Data Analysis

3

9

Distributed Data Processing and Machine Learning

3

10

 Bioinformatics

3

12

 Cloud computing

3

13

 Computational Genomics

3

14

 Data Visualization

3

15

 Time series Analysis and Prediction

3

16

 Deep Reinforcement Learning

3