Semester 1
(16 credits)
|
Compulsory
|
Data Analytics
(3 credits)
|
|
Compulsory
|
Research Methods
(3 credits)
|
|
Compulsory
|
Information Design and Content Strategy
(3 credits)
|
|
Compulsory
|
Philosophy
(4 credits)
|
|
Compulsory
|
Integrated Marketing Communication
(3 credits)
|
Semester 2
(15 credits)
|
Compulsory
|
Advanced Data Mining
(3 credits)
|
|
Compulsory
|
Social Network Data Analytics
(3 credits)
|
|
Compulsory
|
Natural Language Processing
(3 credits)
|
|
Compulsory
|
Statistics for machine learning
(3 credits)
|
|
Compulsory
|
Data Visualization
(3 credits)
|
Semester 3
(12 credits)
|
Elective
|
Big data and applications
(3 credits)
|
|
Elective
|
Blockchain technology and Metaverse
(3 credits)
|
|
Elective
|
Marketing Technology
(3 credits)
|
|
Elective
|
Machine learning and econometrics
(3 credits)
|
|
Elective
|
Digital Marketing Analytics
(3 credits)
|
|
Elective
|
High Performance Computing
(3 credits)
|
|
Elective
|
Artificial Intelligence for Business
(3 credits)
|
Semester 4
(17 credits)
|
Compulsory
|
Assignment
(3 credits)
|
|
Compulsory
|
Extra-Curriculum Report
(3 credits)
|
|
Compulsory
|
Project
(7 credits)
|
|
Compulsory
|
Foreign Language
(4 credits)
|
