Bachelor of Computer Science (Honours) (Artificial Intelligence)

(R3/0613/6/0070) 08/28 (MQA/FA16170)

As computer systems increase their complexity and sophistication, the demand for intelligent advanced applications also increases in proportion. It is now a common practice and expectation to incorporate intelligent capabilities in the design of any computer application, from web-based intelligent search engines to stand-alone intelligent applications.

Introduced in 2005 and accredited since 2007 as the Bachelor of IT in AI, and now known as Computer Science in AI, this program embarked on a pioneering journey that has spanned nearly 20 years. This program has been at the forefront of equipping students with the necessary knowledge and skills required to be successful in building the much needed intelligent computer systems. Based on the solid foundations of Computer Science and Information Technology, the three-year degree programme covers the traditional grounds of artificial intelligence, such as fundamental in artificial intelligence, programming language concept, and computational intelligence. It then extends to advanced and deeper understanding of AI techniques in application, such as Computer Vision, Natural Language Processing, Data analytics, generative AI etc.

PROGRAMME EDUCATION OBJECTIVES

  • PEO1: Computing practitioners in AI who can demonstrate knowledge and skills to develop reliable computing solutions in various ICT application domains in line with industry requirements.
  • PEO2: Computing practitioners who can deliver AI related solutions individually or in team through effective interpersonal and communication skills with diverse stakeholders.
  • PEO3: Computing practitioners who can lead with autonomy and engage in team, utilising computing skills in AI to explore business opportunities and practice continual development through life-long learning.
  • PEO4: Computing practitioners in AI who uphold and integrate ethical and professional practices in servicing clients and society as a whole with self and professional integrity.

PROGRAMME OUTCOMES

  • PLO1: Describe and demonstrate knowledge of Computer Science in AI field.
  • PLO2: Identify, formulate and provide creative, innovative and effective solutions to computing problems.
  • PLO3: Apply computing solutions using appropriate algorithms and techniques to solve a broad range of problems in AI field.
  • PLO4: Convey AI-related ideas and solutions through effective interaction with diverse stakeholders.
  • PLO5: Communicate effectively individually or in teams, with diverse stakeholders.
  • PLO6: Use digital skills as well as a broad range of information, media and technology applications to solve problems in AI field.
  • PLO7: Use numeracy skills as well as a broad range of information, media and technology applications to solve problems in AI field.
  • PLO8: Demonstrate teamwork, accountability, autonomy and responsibility in delivering solutions related to the AI field of study.
  • PLO9: Engage in self-directed lifelong learning to deliver solutions in AI field.
  • PLO10: Demonstrate entrepreneurial competency to deliver solutions in AI field
  • PLO11: Demonstrate professional and ethical practices in delivering services related to AI field.

CAREER PROSPECTS

  • Data Scientist, Intelligent Software Developer
  • AI Consultant, Knowledge Engineer
  • Software Engineer, Web Analyst

STAFF

Ts. Dr. Goh Pey Yun

Assistant Professor

Ts. Dr. Ong Lee Yeng

Assistant Professor

Prof. Ts. Dr. Tan Shing Chiang

Professor

Pa Pa Min

Lecturer

Dr. Tay Siok Wah

Senior Lecturer

Dr. Jashila Nair Mogan

Senior Lecturer

Prisha Palpunavam

Lecturer

Dr. Tioh Keat Soon

Assistant Professor

Alvin Lim Fang Chuen

Lecturer

Brendan Hong Jun Zhi

Lecturer

Poh Li Zhe

Lecturer

Dr. Wee Yit Yin

Senior Lecturer