Aditya School of Business Management

PGDM Business Analytics

Program Structure

Trimester I

  1. Financial Accounting for Managers
  2. Managerial Economics
  3. Principles of Management
  4. Data Analysis for Managers
  5. Organizational Behaviour
  6. Management of Digital Business Systems
  7. Value added course (VAC) Project
  8. Project: Business and Current Affairs

Trimester II

  1. Marketing Management
  2. Management of Human Resources
  3. Financial Management
  4. Operations Management
  5. Fundamentals of Business Analytics
  6. Entrepreneurship and Intrapreneurship
  7. Value added course (VAC) Social Concern Project
  8. Business Domain Knowledge

Trimester III

  1. Research Methodology
  2. DISCIPLINE SPECIFIC ELECTIVES
    1. Business Data Management
    2. Programming with Python
    3. Exploratory Data Analysis
  3. GENERIC ELECTIVES (Students to choose 1 out of 4 subjects) Basket 1
    1. Macro Economics
    2. Diversity and Inclusion
    3. Digital Marketing
    4. Leadership
  4. GENERIC ELECTIVES (Students to choose 1 out of 3 subjects) Basket 2
    1. Artificial Intelligence for Managers
    2. Finance through Films
    3. Enterprise Resource Planning
    4. Entrepreneurial Finance
  5. Value added course (VAC) Social Concern Project
  6. Functional Domain Knowledge

Trimester IV

  1. Strategic Management
  2. DISCIPLINE SPECIFIC ELECTIVES
    1. Business Forecasting
    2. Machine Learning Algorithms – 1
    3. Business Intelligence and Data Visualization
  3. GENERIC ELECTIVES (Students to choose 1 out of 3 subjects) Basket 1
    1. Business Analysis (for non-LOS students)
    2. Digital Transformation Technologies
    3. International Financial Management
  4. GENERIC ELECTIVES (Students to choose 1 out of 4 subjects) Basket 2
    1. Managing Conflicts and Negotiations
    2. Managerial Applications of Analytics
    3. Fundamentals of Service Management
    4. Family Business Management
  5. Summer Internship Project (SIP) (2 months)
  6. Research Competency

Trimester V

  1. Management Science
  2. DISCIPLINE SPECIFIC ELECTIVES
    1. Machine Learning Algorithms – II
  3. Specialisation Electives (Business Analytics) Students to choose 1 out of 2 courses
    1. Deep Learning
    2. Text and Social Media Analytics
  4. GENERIC ELECTIVES (Students to choose 1 out of 4 subjects) Basket 1
    1. Advanced Data Analysis for Managers
    2. Business Problem Framing
    3. Project Management
    4. International Business
  5. GENERIC ELECTIVES (Students to choose 1 out of 4 subjects) Basket 2
    1. Neuroscience for Managers
    2. Sustainable Finance and Investments
    3. Customer Centric Decisions in Business
    4. Management of Start-up and Small Business
  6. Master Thesis / Industry Practicum / Capstone Project (Marks to be given in VI Trimester)
    1. Master Thesis
    2. Industry Practicum
    3. Capstone Project
  7. Campus to Corporate

 

Trimester VI

  1. Business Sustainability, Governance and Ethics
  2. DISCIPLINE SPECIFIC ELECTIVE
    1. Cloud Computing and Internet of Things
  3. GENERIC ELECTIVES (Students to choose 1 out of 3subjects) Basket 1
    1. Personal Financial Planning
    2. Innovation and Design Thinking
    3. Well-Being at Work
  4. GENERIC ELECTIVES (Students to choose 1 out of 3 subjects) Basket 2
    1. E-Business
    2. Designing Thinking for Marketing Innovations
    3. Business Law
  5. Master Thesis / Industry Practicum / Capstone Project (All specializations)
    1. Master Thesis
    2. Industry Practicum
    3. Capstone Project
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