MBA (Analytics) Tracks

Consulting & Strategy

Advanced analytics strategy & consulting: enabling digital transformation

Objectives:

• Framework to assess Data and Analytics Maturity for a function/ Business
• Evaluating right Tools, BigData platform and Skills
• Designing Big Data Projects Governance and Stakeholders Management
• TDLP Framework to drive organisation wide Big Data Maturity
• Advanced Analytics project life cycle - Managing Data to insights to action
• Securing big project sponsorship from CXOs and ensuring ROI to the organisation
• Capstone project submission

Marketing

AI-powered precision marketing

Objectives:

• Learn about the customer journey and various marketing interactions
• Understand the digital advertising ecosystem & AI levers that are available for precise & contextual targeting
• Understand channel performance and measure Marketing ROI
• Learn AI based strategies to engage and retain existing customers

IT & Analytics

Application of statistics and machine learning in solving business problems

Objectives:

• Understand the different steps of approaching and solving business related problems.
• Design experiments, collect data, analyze patterns to identify key areas.
• Build algorithms to predict, estimate important aspects of the real-life situation

Introduction to data science & machine learning

Objectives:

• Understand what Data Science is
• Understand the Data Science Life Cycle
• Understand the role of data analytics in a business organization
• Python based supervised learning – Financial Sector Case Study I
• Python based unsupervised learning – Financial Sector Case Study II
• Analytics: Risk Management – Governance & Controls