About AIST
Mission & Outcomes
Streams & Study Scheme
Admission Requirements
Career Prospects & Internship Opportunities


 The programme's mission is to equip students with the following capabilities:

  • reasoning about and inferring knowledge of massive information;
  • mastering hardware/software primitives for building AI applications, including mathematical modelling, data structures, statistics, algorithms, and distributed computing;
  • designing and implementing AI applications that can analyze and process data at scale;
  • applying AI in various disciplines such as finance, medicine, manufacturing, robotics, multimedia, telecommunications, computing linguistics, etc.;
  • developing research skillsets for making cutting-edge innovations in AI;
  • considering reliability, safety, privacy, and security issues of AI applications; and
  • understanding the ethical and societal impacts of AI in human life.


Expected Learning Outcomes

 Upon completion of their studies, students will be able to:

  1. apply knowledge of mathematics, science, and engineering appropriate to the AI degree discipline (K/S);
  2. design and conduct experiments, as well as to analyze and interpret massive data (K/S);
  3. design a system, component, or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability (K/S/V);
  4. identify, formulate and solve AI-related engineering problems (K/S);
  5. understand professional and ethical responsibility (K/V);
  6. communicate and work effectively in multi-disciplinary teams (S/V);
  7. understand the impact of AI solutions in a global and societal context, especially the importance of health, safety and environmental considerations to both workers and the general public (K/V);
  8. recognize the need for and the importance of life-long learning (V); and
  9. use the techniques, skills, and modern computing tools necessary for engineering practice appropriate to the AI and computing discipline (K/S).



K = Knowledge outcomes

S = Skills outcomes

V = Values and attitude outcomes