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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 include 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 cover various disciplines, including:

• 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 include:

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

Blended Learning Programmes

Blended Learning Programmes provide individuals with the flexibility to learn at their own time and pace while achieving their academic and career goals. The programs include:

• About Blended Learning
• Programmes
• Digitalisation Passport

Corporate Programmes

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

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

Big Data Engineering for Analytics

This 5-day course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. Participants will learn various aspects of data engineering, including:

• Understanding the growth of big data and the need for a scalable processing framework
• Distributed storage essentials, storage needs, and relevant architectural mechanisms
• Constructing configurable and executable tasks using In Memory Processing frameworks
• Organizing, storing, and manipulating collected data using processing libraries
• Understanding various data processing, querying, and persistence available for usage in RDD’s context

Course Details

• Duration: 5 days
• Course Time: 9:00am - 5:00pm
• Prerequisites: Experience in programming languages such as Python or Java or Scala, and a strong interest in building functional pipelines
• What to Bring: Internet-enabled computing device with power charger
• Certificate: Certificate of Completion upon meeting a minimum attendance rate of 75% and passing the assessment

Instructors

The course instructors include:

• Dr. Suriya Priya ASAITHAMBI, Principal Lecturer & Consultant, Software Systems Practice
• Dr. LIU Fan, Senior Lecturer & Consultant, Software Systems Practice
• Dr. Venkat RAMANATHAN, Principal Lecturer & Consultant, Software Systems Practice

Training Roadmap

The course is part of the Data Science and Software Systems training roadmaps, which include a range of related courses to assess training needs and goals.