Overview

The Post Graduate Diploma in Business Analytics (PGDBA) – jointly offered by IIM Calcutta, IIT Kharagpur, and ISI – aims to help shape the emerging profession of business analytics by delivering a cutting edge inter disciplinary educational experience to graduate applicants with an aspiration of building a career in this field.

PGDBA is a two year full time residential diploma programme aimed at creating business analytics professionals employable by leading Indian and foreign firms. This programme is designed for those who have an analytical mindset, are interested in tackling challenging business problems, and possess an inclination towards mathematics. Some of the salient features of the programme include courses taught by reputed faculty members at the campuses of three globally renowned institutes, hands- on business analytics training at a related company, continuous interaction with industry leaders throughout the course of the diploma programme, and the availability of placement opportunities at all the three institutes jointly offering this programme.

Syllabus
Semester I  Semester II 
Computing for Data Sciences Data Science Laboratory
Fundamentals of Data Base Systems Foundations of Algorithm Design and Machine Learning
Inference Modelling in Operations Management
Statistical Structures in Data Regression and Time Series Models
Stochastic Processes and Applications
Elective-I Elective – II and Elective-III
Artificial Intelligence and Ethics Basics of Marketing Analytics
Big Data Processing Business Accounting and Banking Analytics
Cloud Computing Business Model Analytics
Complex Network Conversational Analysis
Deep Learning Ethical and Legal Considerations in Business Analytics
Enabling Technologies for Data Analytics Healthcare Analytics
Information Retrieval Optimization and Business Decision Analysis
Machine Learning for Geosciences Product Analytics
Supply Chain Analytics
Venture Analytics
Semester III Semester IV 
Core Course Internship
Business Data Mining
Business Economics
Categorical Data Analysis
Corporate Finance
Human Resource Management
Project Management
Strategic Management
Elective-IV Elective-V, Elective-VI and Elective-VII
Analytics in Business Forecasting Advanced Spreadsheet Modelling
Econometric Methods with Applications in Business and Economics Analytical Tools in Demand Management
Networks Analytics Analytics in Payments
Selected Aspects of Advanced Predictive Modelling Applied Marketing Research
Business Process Management
Consumer Analytics
Consumer Behaviour
Decision and Games
Games and Information
High Frequency Finance and News Analytics
Legal Aspects of Data Mining
Manufacturing Analytics
Navigating the Workplace
Pricing and Revenue Optimization
Eligibility
  • Candidate must hold a graduate degree with 60% in 10 + 2 + 4 or 10 + 2 + 5 or 10 + 2 + 3 + 2, with at least mentioned marks or CGPA 6.5 on a 10-point scale in the Qualifying Degree (i.e., B.Tech./ B.E./ M.Sc./ M.Com. or equivalent). For SC/ST/PWD candidates CGPA 6.0 is required a 10-point scale.
  • Candidates, who are in the final year, are also eligible to apply provided they appear in the final examination and complete other academic requirements as specified above by 15 June 2023.
  • Candidate who hold a post graduate degree with 10 + 2 + 4 or 10 + 2 + 5 or 10 + 2 + 3 + 2, with at least 60% marks (55% for SC/ST/PWD , or CGPA 6.0 on a 10-point scale.) or CGPA 6.5 on a 10-point scale in the Qualifying Degree M.Sc./ M.Com. or equivalent) are also eligible. One-year MBA will not be considered equivalent of M.Sc./ M.Com.
  • Candidates with 10 + 3 (Engineering diploma) + 3 (lateral entry into B.E./ B.Tech.) with at least 60% marks or CGPA 6.5 on a 10-point scale in the Qualifying Degree (i.e., B.Tech./ B.E.), or with 10 + 2 + 4 (B.Sc.) with at least 60% marks or CGPA 6.5 on a 10-point scale in the Qualifying Degree (i.e., B.Sc.), or with B.Com. + CA with at least 60% marks (Intermediate and Final examinations of the CA considered together) are also eligible.
Placements

Apollo Tyres | Axis Bank | Deloitte | Genpact | Google | HCL Technologies | HSBC | IBM | ICICI

Campus
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Course Info

Fees: – 25,00,000/-
Duration: 2 Years
Study Mode: Regular
Approved By: EQUIS

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