The Curriculum

The one year co-branded PGDBA Programme is jointly designed by GSIB faculty and IBM Subject Matter Experts (SMEs). The Programme is a combination of class-room teaching and technology aided learning platform. It is a rigorous and challenging Programme. The comprehensive PGDBA Programme provides a framework through which students learn to understand management process, gain understanding of functional areas of management process, and acquire knowledge and skills in business analytics. The courses in the Programme, School Internship Project, and Capstone Project are designed around the real-world integration of business disciplines.

The Programme is offered in three trimesters. In the first trimester of the Programme, students would be introduced to foundation courses in Management along with Introduction to Business Analytics. At the end of the trimester, students would appreciate management process, functional decision making frameworks. In the second trimester of the Programme, students would be introduced to integrative courses in management along with courses in Business Analytics. In the third trimester of the Programme, students would be trained higher-end tools and techniques in Business Analytics. Students would also have the opportunity in the third trimester to develop Business Analytics skills in one of the management domains such as HR, Marketing, Finance, and Supply Chain Management. In the third trimester, students would be required to work on School Internship Project (SIP) and Capstone Project (CP) in industry to strengthen Business Analytics skills with support from IBM and Industry.

Award of Post Graduate Diploma in Business Analytics:

The Post Graduate Diploma in Business Analytics will be awarded to the students upon satisfactory completion of all the courses and requirements as per the criteria laid down. Inaddition, the students will receive certification from IBM on completion of the programme.

The Pedagogy:

Lectures, cases and hands-on experience of various data analysis tools and techniques in the IBM Analytics Laboratory in the School constitute main methods of teaching. In addition, students would be required to work on two Projects namely School Internship Project and Capstone Project to strengthen their analytical skills and to enhance their understanding of the role in Industry as an Business Analyst.

Trimester – I (21 credits)

Course CodeTitle Of The Core CoursesCredits
101Management Structure & Process2
102Organizational Behaviour & Leadership2
103Business Communication2
104Managerial Economics2
105Accounting and Control2
106Financial Management2
107Marketing Management2
108QT for Management2
109Introduction to Business Analytics2
Trimester credit total21

Trimester – II (21.5 credits)

Course CodeTitle of the core coursesCredits
201Human Resource Management3
202Legal & Ethical Issues innInformation Security2
203Business Strategy2
204Supply Chain Management2
205Research Methods for Business2.5
206Operations Research & Optimization3
207Information Management2
208Fundamental of Big Data Analytics2
209Descriptive Analytics &nVisualisation of Data3
Trimester credit total21.5

Trimester – III (21.5 credits)

Course CodeTitle of the core coursesCredits
301Business Intelligence innModern Areas of Analytics2
302Predictive Analytics using SPSS3
303Social Media Analytics3
304Simulation in Analytics2
305Big Data Analytics for Business Analysts1.5
306Fundamentals of Enterprise Planning & Budgeting3
307Elective 1
(see the list of electives given below)
3
308Elective 2
(see the list of electives given below)
3
409School Internship Project (SIP)2
410Capstone Project (CP)3
Trimester credit total25.5

List of Electives

List of Electives

Course CodeTitle of the core coursesCredits
Human Resource Management (HRM)
HR1
HR Analytics3
HR2Performance Analytics & Metrics3
Marketing Management (MM)
MM1
Marketing and Advertising Analytics3
MM2Digital and Online Marketing3
Financial Management (FM)
FM1
Financial Analytics3
FM2Decision Models in Finance3
Supply Chain Management (SCM)
SCM1Supply Chain Analytics3
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