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Course Structure

POST-GRADUATE DIPLOMA IN MANAGEMENT (BIG DATA ANALYTICS)

 
GIM - PGDM - BDA

We have carved out a unique two-year full time course for our Post Graduate Diploma in Management (Big Data Analytics), which shall be offered to select students with flair for numbers and computers.

 

The course structure is as follows:
Foundation Courses (Two Weeks Before the Start of the Term I)

  1. Basics of Management
  2. Basics of Stats and Maths
  3. Hands-on MS Excel and Power BI

Term I

  1. Database Management
  2. Fundamentals of Business Analytics
  3. Business Economics
  4. Financial Management
  5. Cost Accounting
  6. Quantitative Methods I
  7. Marketing Management
  8. Written Analysis & Communication (WAC)
  9. Lab Session Using Excel and Power BI (Industry Case Studies)

Term II

  1. Programming for Analytics
  2. Querying and Data Integration for Managers
  3. Big Data Management
  4. Analytics Project Management
  5. Supply Chain Management
  6. Managing People in Organizations
  7. Lab: Hadoop Eco System: Qlik view, Hive, Pig, Hbase, Etc.
 

Term III

  1. Big Data Visualization and Analytics
  2. Machine Learning - Predictive and Prescriptive Analytics
  3. Text Mining
  4. Organization Structure, Culture and Processes
  5. Written Analysis & Communication (WAC)
  6. Elective 1
  7. Lab: Hadoop Analytics with R and Python; NoSQL, Hive, Pig, MapReduce, Spark

Term IV

  1. Business Forecasting & Econometric Modelling
  2. Advanced Machine Learning (Neural Networks, SVM , Deep Learning)
  3. Ethics & Governance Issues In Big Data Analytics
  4. Strategic Management
  5. E-Commerce Analytics
  6. Elective 1
  7. Elective 2
 

Term V

  1. IoT Analytics
  2. Business Simulation
  3. Elective 1
  4. Elective 2
  5. Elective 3
  6. Elective 4

Term VI

  1. Project Work at Industry
  2. Capstone Project and Dissertation
  3. Research Thesis
 

List of Electives Offered across Term III, IV and V

 

Term III (Select any One)

  1. Cloud Service Model
  2. Decision Support System
  3. Understanding Behaviour with

Term IV (Select any Two)

  1. HR Analytics
  2. Supply Chain Analytics
  3. SAS Marketing Analytics
  4. Finance Analytics
  5. Social Media Analytics
  6. Optimization Models
  7. Analytics for Services
 

Term V (Select any Four)

  1. Game Theory
  2. Customer Analytics
  3. Risk Analytics
  4. Cyber Security Analytics
  5. SAS Fraud Framework
  6. SAS for banking
  7. Analytics for Pricing and Revenue
  8. Healthcare Analytics
  9. Cognitive Computing
  10. Smart City Analytics