MASTER IN ARTIFICIAL INTELLIGENCE - PART TIME at Sunway University

Program Structure: Developing Advanced AI Expertise

The MSc in AI (Part-Time) combines coursework, practical AI projects, and a research or capstone project to develop both theoretical and applied AI skills.

• Phase 1: Core Coursework
  • Machine Learning and Deep Learning: Learn techniques for supervised, unsupervised, and reinforcement learning.
  • Data Analytics and Intelligent Systems: Gain skills in analyzing large datasets and building AI-based solutions.
  • AI Research Methodologies: Understand approaches for AI research, experiment design, and evaluation metrics.
  • AI Ethics and Governance: Study responsible AI practices, bias mitigation, and ethical considerations.
• Phase 2: Applied AI Projects / Research
  • Capstone Project / AI Research Project: Apply AI concepts to real-world problems or research challenges.
  • Data Modeling and AI Implementation: Design, train, and deploy AI models using industry-standard tools and platforms.
• Phase 3: Project Submission and Defense
  • Submit a detailed report documenting methodology, results, and solutions.
  • Present and defend the project before academic supervisors and stakeholders.

Entry Requirements

• Academic Qualifications: Bachelor’s degree in Computing, IT, Mathematics, Statistics, or related fields with a minimum CGPA of 2.75–3.00 (or equivalent). Internal assessment may apply for CGPA slightly below the requirement.
• Professional Experience: Relevant work experience may strengthen the application, particularly for applicants without a computing background.
• English Language Requirements: IELTS 6.0, TOEFL IBT 79, Pearson (PTE) 58, or MUET Band 4. Exemptions may apply for degrees previously taught in English.

Career Opportunities

Graduates of the MSc in AI (Part-Time) are prepared for professional, managerial, and research roles in AI, data analytics, and intelligent systems across multiple industries.

• AI Engineer / Developer
• Machine Learning / Data Scientist
• Deep Learning Specialist
• AI Researcher / Academic
• AI Solutions Architect
• Business Intelligence Analyst
• AI Consultant / Technical Lead

Program Highlights

• Duration: 2–3 years (part-time), suitable for working professionals.
• Mode of Delivery: Part-time with blended learning including research supervision, seminars, and project-based learning.
• Hands-On AI Focus: Practical exposure to AI labs, NVIDIA GPU-powered systems, and cloud-based AI tools.
• Dual Certification: Graduates receive a degree from Sunway University and Lancaster University (UK).
• Industry Alignment: Curriculum aligned with AI trends in industry, data science, and machine learning applications.
• Global Exposure: Opportunities to collaborate with international faculty and industry partners.