Master of Science in AI and Emerging Technologies for Management

PolyU SPEED Taught Postgraduate Programmes

section banner deco upsection banner deco downProgramme

Master of Science in AI and Emerging Technologies for Management

Programme Code

84607-AEF (Mixed-mode Full-time) / 84607-AEP (Mixed-mode Part-time)

Medium of Instruction

English

Programme Leader

Dr Andrew Wu

BSc (NCEPU); MSc (H.K.U.S.T. and N.Y.); MSc, PhD [PolyU (H.K.)]; MHKSI; MIET; MIEEE; FRM

 

Normal Duration

1 year (Full-time) /

2 years (Part-time)

Tuition Fee

Tuition Fees

Academic Division

Division of Science, Engineering and Health Studies

Remarks

The programme is subject to the final approval by PolyU. There may be changes to the curriculum and/or programme title subsequent to the approval.

 

Programme Features

  • Intersection of artificial intelligence (AI), emerging technologies and management: the programme covers state-of-the-art topics on AI and emerging technologies, and other essential areas that emerge while managing AI solutions such as AI-driven cybersecurity, innovation and AI-enhanced project management, and ethics, governance and sustainability for AI applications.
  • Leveraging AI tools and innovative strategies: the programme prepares graduates to leverage AI tools and integrate innovative strategies into workplaces to enhance organisational performance, efficiency and innovation, thereby positioning them for leadership roles in the industry.
  • Trains up readily available professionals from multi-disciplinary areas: Through a blend of theoretical knowledge and hands-on workshop and project experience, graduates from multi-disciplinary areas will be able to adapt quickly and proficient in managing organisations that are enhanced with AI solutions while ensuring robust security practices.

Future Prospects

Career Prospects 

  • The rapid adoption of AI and emerging technologies across industries has created a critical need for professionals who can both understand these technologies and apply them strategically. Organisations are increasingly seeking leaders who can bridge the gap between technology and business, making this programme essential for developing a workforce equipped to drive innovation and competitive advantage.
  • Companies are increasingly looking for professionals who can leverage AI to drive business decisions, improve processes, and enhance productivity. MSc in AI and Emerging Technologies for Management fills the demand for skilled professionals who are competent in integrating AI into workplaces, technology and management and who can lead organisations from various fields in the rapidly evolving AI landscape.
  • Graduates can take up the following positions:
    - AI and Data Software Engineer
    - AI Model Professional
    - IT Manager in AI and Data Science
    - Business Development Manager for AI Solutions

 

Further Study Opportunities

  • Upon completion of this programme, graduates may: 
    ⮚ pursue their further studies at the doctoral level such as Doctor of Philosophy programmes in both local and international universities. 

Programme Structure

Students are required to complete at least 31 credits with satisfactory results as well as passing an e-learning course (non-credit bearing) to fulfil the National Education Requirement in order to obtain a master’s degree.
 
Classes will be scheduled on weekdays and / or weekends, both during the day and / or evening, to provide flexibility. They may also be arranged in block teaching format. Please plan accordingly to ensure your availability.

Compulsory Subjects (All 9 subjects, 3 credits each unless otherwise specified) 

  • Academic Integrity and Ethics in Engineering (1 credit)
  • AI for Business
  • AI-driven Cybersecurity Management
  • AI-Enhanced Project Management
  • Ethics, Sustainability and Governance for AI Applications
  • Future and Emerging Technologies
  • Innovative Workplace Practices with AI and Emerging Technologies
  • Principles and Applications for AI
  • Web 3.0 Technologies

 

Elective Subjects# (Any 2 subjects, 3 credits each) 

  • AI-Integrated Systems Auditing
  • Artificial Intelligence and Digital Health
  • Data Management and Analytics
  • Digital Transformation and Future Commerce
  • Integrated Project
  • Low-code to No-code AI Solutions

 

#

Offering of any elective subjects is subject to sufficient enrolment.

 

Entrance Requirement

Holders of a recognised bachelor’s degree, or an equivalent qualification in computer science, engineering, business administration, or a related field. 
 

Notes: 

  1. An applicant who is not a native speaker of English, and does not possess a Bachelor’s degree or an equivalent qualification for which English was the primary medium of instruction, is expected to fulfil the following minimum English language requirements:
    1. An overall Band Score of 6.0 in the International English Language Testing System (IELTS); OR
    2. A Test of English as a Foreign Language (TOEFL) score of 80 for the Internet-based test or 550 for the paper-based test; OR
    3. Satisfactory results in other recognised English language assessments

      Individual cases may be considered on their own merit, and applicants concerned may be required to take an additional 3-credit Adjunct English subject upon admission.
  2. An applicant who does not possess the above-mentioned qualifications but has reached the age of 25 before 1 September, in the academic year in which he/ she seeks admission, may apply as mature applicant.  He/ She must demonstrate sufficient motivation, knowledge and potential to indicate a high probability of being able to complete the programme successfully. 

Enquiries

Academic Matters:Dr Andrew Wu
Lecturer, Division of Science, Engineering and Health Studies
BSc (NCEPU); MSc (H.K.U.S.T. and N.Y.); MSc, PhD [PolyU (H.K.)]; MHKSI; MIET; MIEEE; FRM
 

3746 0756

 
General Administrative Matters:CPCE Academic Registry 

3746 0900