Required Courses

  • Academic Orientation for AI Students
  • Machine Learning
  • Design and Analysis of Algorithms
  • Introduction to Artificial Intelligence
  • Ethics, Privacy and Security in Artificial Intelligence
  • Mathematics for AI
  • English Communication I for Information Hub programs
  • Python Programming for Artificial Intelligence
  • Introduction to Data Mining
  • Introduction to Computer Vision
  • English Communication II for Information Hub programs
  • Final Year Capstone Project

Sample Elective Courses

  • Introduction to Data Science and Analytics
  • Deep Learning
  • Exploring Artificial Intelligence
  • Introduction to Natural Language Processing
  • Introduction to Reinforcement Learning
  • Machine Learning and Information Processing for Robotics
  • Learning and Optimization for Artificial Intelligence
  • Machine Learning with Big Data
  • Introduction to Financial Engineering
  • Operating Systems
  • Deep Learning in Visual Intelligence
  • Introduction to Bayesian Networks
  • Introduction to Robotics: From Mobile Robots to Manipulators
  • Robotic Manipulation and Mobility
  • FPGA-based Design: From Theory to Practice
  • Big Data Mining and Management
  • Statistical Machine Learning
  • Social Information Network Analysis and Engineering
  • Introduction to Advanced Algorithmic Techniques
  • IT Entrepreneurship

Program Learning Outcomes

  • 01
    Demonstrate thorough knowledge of the literature and a comprehensive understanding of scientific methods and techniques relevant to AI.
  • 02
    Demonstrate practical skills in building AI systems.
  • 03
    Critically apply theories, methodologies, and knowledge to address fundamental questions in AI.
  • 04
    Independently pursue research or innovation of significance in AI applications.
  • 05
    Demonstrate skills in oral and written communication sufficient for a professional career.

General Information

  • Credit structure:

    PhD: 21 credits

  • Normative Program Duration:


    Full-time: 3 years (those with a relevant research master’s degree), 4 years (those without a relevant research master’s degree)