Program Overview

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Overview of University Programs

The university offers a range of programs designed to build capabilities in infocomm and digital business. These programs are categorized into several disciplines, including Executive Education, Graduate Programmes, Stackable Programmes, Blended Learning Programmes, and Corporate Programmes.

Executive Education

Executive Education Programmes are designed to build capabilities in infocomm and digital business. The programs offered include:

• Artificial Intelligence
• Cybersecurity
• Data Science
• Digital Agility
• Digital Innovation & Design
• Digital Strategy & Leadership
• Digital Products & Platforms
• Digital Sustainability
• Digital Health
• Software Systems
• StackUp - Startup Tech Talent Development

Graduate Programmes

The university offers five practice-based graduate programmes focusing on information technology (IT) and data science. These programs include:

• Graduate Diploma in Systems Analysis
• Master of Technology in Artificial Intelligence Systems
• Master of Technology in Digital Leadership
• Master of Technology in Enterprise Business Analytics
• Master of Technology in Software Engineering

Stackable Programmes

Stackable Programmes provide an alternative pathway to continuing education without disrupting one's career. The programs offered include:

• Graduate Certificates:
  • Data Science
  • Digital Solutions Development
  • Artificial Intelligence
  • Smart Systems & Platforms
• Professional Certificates:
  • Digital Leadership
  • Health Service Innovation
• Professional Diploma:
  • Health Service Transformation

Blended Learning Programmes

Blended Learning Programmes provide individuals with the flexibility to learn over their own time and pace while achieving their academic and career goals. The program includes:

• About
• Programmes
• Digitalisation Passport

Corporate Programmes

Corporate Programmes work with organisations to provide contextualised workplace training or customised learning experiences for employees. The programs offered include:

• Corporate Digitalisation
• Active Learning for Problem Solving
• International Programmes
• Digital Academy Services
• Internship & Job Placements
• Skills For Transformation Programme

About Us

The university team includes:

• Management
• Practice Chiefs
• Programme Chiefs/Heads
• Teaching Staff
• Administration Staff
• Digital Academy Services
• Adjunct Staff

Community

The university community includes:

• Our Alumni
• Our Industry Partners
• Our People
• Events & Happenings

Course Resources

The university offers various course resources, including:

• Executive Education Planner (2025)
• Executive Education Planner (2026)
• Career Services

Explainable and Responsible AI for Finance

This course is designed to enable participants to communicate effectively to regulators or any other relevant audience about AI & ML models used in decision-making processes. The course covers:

• Introduction to explainable AI (XAI)
• Interpretable models (white box models)
• Black-box models: Model agnostic methods
• Black-box models: Model specific methods and Example based methods
• Python implementation
• Fairness in AI/ML
• Accountability in AI/ML
• Security, Privacy and Governance in AI/ML

Key Takeaways

At the end of the course, participants will be able to:

• Explain interpretable machine learning models
• Explain black-box machine learning models
• Adopt responsible AI practices by following the principles of fairness, ethics, accountability, explainability, privacy, security, and governance
• Understand current industry practices in Explainable AI

Who Should Attend

This course is suitable for participants working in banking/finance, regulatory sector, including:

• Data Analyst
• Data Scientist
• AI Expert
• Regulators
• Data engineers
• AI product managers
• Data science project managers
• Underwriters
• Pricing Actuaries
• Head of claims
• Business intelligence analysts
• Chief data officers / Chief Information Officers/ Chief Information Security Officers
• Data protection officers
• Database admins
• Data stewards

What Will Be Covered

The course will cover the topics mentioned above, with a focus on explainable and responsible AI for finance.

Certificate

A Certificate of Completion will be issued to participants who meet a minimum attendance rate of 75% and pass the assessment.

Instructors

The course instructor is Dr. Vishnuteja Nanduri.

Join Us

Participants can register for the course to master how to build Explainable and Responsible AI models for Finance.

Preparing for Your Course

Participants are required to bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials. The course resources and materials will be provided, and participants are expected to complete all lectures, class exercises, workshops, and assessments.