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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. Business Economics
  3. Marketing Management
  4. Managerial Accounting
  5. Quantitative Methods
  6. Statistics for Analytics

Lab Session Using Excel and Power BI (Industry Case Studies)

Term II

  1. Programming for Analytics
  2. Querying and Data Integration
  3. Big Data Ecosystem Management
  4. Finance for Managers
  5. Operations Management
  6. Human Resource Management

Lab: Hadoop Eco System: Qlik view, Hive, Pig, Hbase, Etc.

Term III

  1. Big Data Visualization and Analytics
  2. Predictive and Prescriptive Analytics
  3. Analytics Project Management
  4. Organization Structure, Culture and Processes
  5. Managerial Communication
  6. Text Analytics

Lab: Hadoop Analytics with R and Python; NoSQL, Hive, Pig, MapReduce, Spark

Summer Internship: Capstone Project at Company for 8 Weeks

Term IV

  1. Advanced Machine Learning
  2. Ethics & Governance Issues In Big Data Analytics
  3. Strategic Management
  4. Elective 1
  5. Elective 2
  6. Elective 3
 

Term V

  1. IoT Analytics
  2. Cloud Computing
  3. Elective 1
  4. Elective 2
  5. Elective 3
  6. Elective 4

Term VI

Project Work at Industry : Complete term will be spent by students in a company on a live company project

 

Electives Buckets

Every Student must take minimum FIVE Electives from a particular Bucket of his/ her specialization 

 

Finance, Banking and Insurance

  1. Risk Analytics
  2. Fraud Detection in Banking and Insurance
  3. Analytics for Pricing and Revenue
  4. Financial Analytics
  5. Insurance Analytics
  6. Capital Budgeting
  7. Working Capital Management
  8. Accounting Analytics
  9. Analytics in Valuation 

Marketing & E-Com

  1. Platform Business
  2. Customer Analytics
  3. Marketing Analytics
  4. Social Media Analytics
  5. Supply Chain Analytics
  6. Marketing Research
  7. Retail Analytics
  8. Web Analytics & Mobile BI
  9. Marketing Optimization Models

Public Systems

  1. Public Policy Analytics
  2. Healthcare Analytics
  3. HR Analytics
  4. Cyber Security Analytics
  5. Energy Analytics
  6. Transportation Analytics
  7. Gamification
  8. Digital Transformation
  9. Transportation Analytics
  10. Public Sentiment Analytics

*Disclaimer: The Course Structure may undergo change depending upon the market needs.