Bachelor of Science (Hons.) Applied Artificial Intelligence

(N/0611/6/0107) 01/30 (MQA/PSA 18303)

Bachelor of Science (Hons.) Applied Artificial Intelligence

(N/0611/6/0107) 01/30 (MQA/PSA 18303)

The Bachelor of Science (Honours) in Applied Artificial Intelligence, BScAAI is a 3-year programme designed to equip students with the knowledge and skills to develop AI-powered solutions that drive innovation across industries. This programme focuses on the application of AI in automation, data intelligence, and smart decision-making systems, preparing graduates to lead the AI revolution in various sectors.
BScAAI uniquely combines AI engineering principles with core areas such as IoT, cloud computing, digital system design, machine vision, and embedded AI solutions, ensuring students gain practical knowledge in designing intelligent, scalable, and high-performance AI-driven systems. With hands-on laboratory-based courses, real-world industrial collaborations, and applied research projects, students will develop technical skills required for the next generation of AI engineers, robotics specialists, and intelligent systems developers.
With a strong emphasis on real-time AI deployment, optimization of AI models for hardware implementation, and the integration of AI in edge computing, industrial automation, and cyber-physical systems, graduates will be well-prepared for careers as AI Engineers, Embedded AI Developers, Robotics and Perception Specialists, IoT and AI Solutions Architects, and Intelligent Systems Designers.
Aligned with MMU’s strategic direction, this programme is designed to bridge AI research with engineering applications, ensuring that graduates contribute to solving real-world problems in sectors such as smart cities, healthcare, autonomous systems, precision agriculture, and advanced robotics. By integrating AI with engineering fundamentals, this programme equips students with the ability to develop sustainable, efficient, and transformative AI technologies for the future.

PROGRAMME EDUCATIONAL OBJECTIVES

  • Graduates assume a technical, entrepreneurial, or managerial role in solving technical issues related to artificial intelligence, while engaging in lifelong learning and professional development to adapt to evolving technologies and industry practices.
  • Graduates who can communicate and lead a team in applying technical knowledge to design and implement practical artificial intelligence related solutions.
  • Graduates are committed to professional ethics, sustainability, and appreciation of social values in artificial intelligence related fields.
  • Graduates demonstrate proficiency in digital and numeracy skills essential for adapting to evolving technologies and data-driven decision-making in artificial intelligence related careers.

PROGRAMME OUTCOMES

  • Acquire scientific theories and technical knowledge in the domain of artificial intelligence.
  • Solve problems innovatively through research and experimentation in the areas related to artificial intelligence.
  • Apply appropriate techniques, resources and tools to complex technical activities in artificial intelligence.
  • Convey artificial intelligence related ideas and solutions through effective interaction with diverse stakeholders.
  • Communicate effectively individually or in teams, with diverse stakeholders.
  • Use digital skills as well as a broad range of information, media and technology applications to solve problems in artifical intelligence related fields.
  • Use numeracy skills to analyse and solve artificial intelligence related problems.
  • Demonstrate leadership, autonomy, and responsibility in delivering artificial intelligence related solutions.
  • Engage in self-directed lifelong learning and demonstrate entrepreneur principles, as a member or leader of a team in multidisciplinary environments related to artificial intelligence.
  • Integrate ethics, professionalism and commitment while working collaboratively on artificial intelligence related solutions.

CAREER PROSPECTS

  • AI Specialist
  • Machine Learning Developer
  • Embedded AI Developer
  • Robotics and Perception Specialist
  • IoT and AI Solutions Developer
  • Data Science Practitioner
  • Computer Vision Specialist
  • AI Solutions Consultant

STAFF

Dr. Foo Yee Loo

Programme Coordinator

Prof. Dr. Mohammad Faizal Ahmad Fauzi

Professor

Assoc. Prof. Dr. Goh Vik Tor

Associate Professor

Assoc. Prof. Dr. Ng Yin Hoe

Associate Professor

Assoc. Prof. Dr. Tan Wooi Haw

Associate Professor

Dr. Lim Sin Liang

Assistant Professor

Dr. Lo Yew Chiong

Assistant Professor

Mohd Haris Lye Abdullah

Lecturer

Yvonne Kam Hwei Syn

Lecturer