Subjects taught

IPM Program

1. Foundation of Computing (FOC) (Term-IV) (Book: Microsoft Excel 2019 : Data Analysis and Business Modeling by Wayne Winston)

2. Introduction to Data Science (IDS) (Term-VII) (Book: Data Science for Business by Foster Provost and Tom Fawcett)

3. Business Analytics (BA) (Term-IX) (Book: Business Analytics :The Science of Data-Driven Decision Making by  U. Dinesh Kumar)

MBA Program

1. Managerial Computing (MC) (Term-I)

2. Information Systems (IS) (Term-III) (Book: Management Information Systems Managing the Digital Firm by  Kenneth and Jane Laudon)

MBA-HR Program

1. Managerial Computing (MC) (Term-I)

MBA-BA Program

1. Managerial Computing (MC) (Term-I)

2. Data Management & Data Engineering for Analytics (Term-I) (Book: Fundamentals of Data Engineering: Plan and Build Robust Data Systems by  Joe Reis and Matt Housley)

3. Business Intelligence & Data Visualization (BIDV) (Term-II)

4. Machine Learning & Predictive Analytics (MLPA) (Term-III) (Book: (1) Data Mining: Concepts and Techniques by  Jiawei Han, Micheline Kamber, Jian Pei; (2) INTRODUCTION TO DATA MINING by  PANG-NING TAN, MICHAEL STEINBACH, ANUJ KARPATNE, VIPIN KUMAR)

EMBA Program

1. Managerial Computing (MC) (Term-I)

2. Information Systems (IS) (Term-III)

3. AI and ML with Data Science Approach in Business (Term-IV, EMBA24(W), Elective)

PhD/EPhD Program

1. Data Science for Businesses

2. Machine Learning using R