01 Principles of Data Science (Innovation)
02 Programming with Python (Innovation)
03 Data Mining
04 Data Preparation and information Retrieval
05 Mathematical Foundations for Data science-I
06 Advanced Computer Networks
07 Advanced DBMS
08 Advanced operating Systems
09 Practical Courses
- Data Mining with R Lab
- Python Lab
10 *Mandatory - (Non Creditable Courses)
- Soft Skills (Research Methodology)
- Skill Development Programme
01 Machine Learning using Python (Innovation)
02 Mathematical Foundations for Data science-II
03 Big Data with NoSQL
04 Foundation of Data Visualization (Innovation)
05 Big Data Security
06 Image and Video Analytics (Innovation)
07 Cloud Computing
08 Parallel and Distributed Systems
09 Natural Language Processing (Innovation)
10 Internet of Things (Innovation)
11 Practical Courses
- Data Visualization Lab (Tools: Excel, Tabuleau) (Innovation)
- NoSQL lab
12 *Mandatory - (Non Creditable Courses)
- Soft Skills (Research Methodology)
- Skill Development Programme
01 Deep Learning (Innovation)
02 Data Wrangling (Innovation)
03 Intelligent Systems (Innovation)
04 Graphs-Algorithms & Mining (Innovation)
04 Cloud Analytics (Innovation)
05 Time Series Analysis and Forecasting (Innovation)
06 Multivariate Methods for data Analysis (Innovation)
07 Recommender Systems (Innovation)
08 Minor Project (Innovation and Intellectual Property)
01 Research/Technical paper (Innovation and Intellectual Property)
02 Internship/ Certification (Innovation and Intellectual Property)
03 Major Project (Innovation and Intellectual Property)