Master of Arts in Science and Robotics Education (Subject to University's Approval)

Programme Intended Learning Outcomes

Upon successful completion of the programme, students will be able to:

1. Demonstrate mastery of foundational and emerging concepts in science and robotics education, including inquiry-based learning, engineering design processes, and computational thinking frameworks aligned with STEM curriculum standards
2. Design, implement, and assess inclusive science and robotics curricula that cater to diverse learners, leveraging adaptive technologies, differentiated instruction, and culturally responsive pedagogies
3. Apply advanced programming (e.g., Python, Blockly) and robotics skills (e.g., sensor integration, AI applications) to create hands-on learning experiences that foster problem-solving, creativity, and collaborative skills in students
4. Critically assess the ethical, societal, and pedagogical implications of robotics and AI in education, including issues of accessibility, bias in technology, and responsible innovation in classroom implementations

Programme Structure and Curriculum

The MA(SRE) programme comprises 24 credit points (cps), which will typically be earned within one year of full-time study. Students will be required to complete 5 core courses (15 cps) and 3 elective courses (9 cps) to graduate.

* This course uses English as its medium of instruction, and students who choose these courses must meet the English requirements as follows:

• Overall score of IELTS 5.5 (academic version) #;
• TOEFL score of 59 (internet-based test) #;
• Band 6 in the College English Test (CET)# with a total score of 430;
• Grade C or above in GCSE/GCE O-Level English; or
• Other equivalent qualifications on a case-by-case basis

# The test should be taken in test centres and the result should be valid within two years.

TOEFL Home Editions, TOEFL MyBest Score, IELTS Indicator, IELTS Online, IELTS One Skill Retake, Duolingo and National Postgraduate Entrance Examination are NOT acceptable.

Medium of Instruction

Putonghua (supplemented with English)

Tuition Fees

The tuition fee (2026/27 Cohort) is HKD 168,000 (24 cps) for the whole programme, which is provisional and subject to adjustment. Tuition fees paid are normally not refundable or transferable. Students who still need to take courses to meet graduation requirements beyond the regular study period (one year for full-time / two years for part-time) will need to pay a fee for extended study.

 

*The University reserves the right to make changes to tuition fee without prior notice.

Disclaimer

• In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decision of the University shall be final.
• Every effort has been made to ensure the accuracy of the information contained in this website. Changes to any aspects of the programmes may be made from time to time as due to change of circumstances and the University reserves the right to revise any information contained in this website as it deems fit without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
• Any aspect of the courses and course offerings (including, without limitation, the contents of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.
• The University is committed to uphold the educational quality and standard of the programmes it offers. The University, being funded by the University Grants Committee (UGC), is one of the nine self-accrediting institutions in Hong Kong. In addition, the quality of the educational experience in all programmes offered by the UGC-funded universities is subject to the quality assurance process administered by the Quality Assurance Council of the UGC. 
• Individuals who wish to apply for qualification certification in Mainland China after graduation should contact the CSCSE (website: https://zwfw.cscse.edu.cn/cscse/lxfwzxwsfwdt2020/xlxwrz32/index.html) directly for updated details and confirmation. The certification in Mainland China is an independent process from the conferral of academic qualification in Hong Kong by the University. For the avoidance of doubt, no warranties are given in respect of individual graduate’s qualification certification or recognition in Mainland China or any other professional qualification or license outside Hong Kong. 
• EdUHK, has not collaborated with any agency in Mainland China or Hong Kong on admission, and does not encourage students to entrust their applications to any third-party agents and we always contact applicants directly on updates regarding the applications. You must complete and submit your own application via the EdUHK online admissions system and provide your own personal and contact details. Please refer to the official EdUHK channels, such as programme websites and the admissions system, for the required information to complete your application.
• Students who are enrolled in any full-time award-bearing programmes (lasting for one year or longer) of the University are not permitted to simultaneously register for another qualification at the University or a post-secondary qualification at any institutions except with prior approval by the Board of Graduate Studies. Violation of this regulation will lead to discontinuation of studies from the University. In case of doubt, students should seek advice from the Board of Graduate Studies (via the Graduate School).

General Admission Requirements

Applicants should normally hold a recognised bachelor’s degree or equivalent. Preference will be given to applicants who hold bachelor’s degree or equivalent in the following areas:

• Engineering
• Science
• Computing
• Artificial Intelligence
• Robotics

Shortlisted applicants may be required to attend an interview.