Master of Arts in Emerging Technology for Future Workforce 12 months Postgraduate Programme By The Education University of Hong Kong |TopUniversities

Programme overview

Main Subject

Education and Training

Degree

MA

Study Level

Masters

Study Mode

On Campus

The Master of Arts in Emerging Technology for Future Workforce (MA(ETFW)) program aims to cultivate forward-thinking professionals who can navigate and shape the rapidly evolving emerging technological landscape in the workforce settings.  Graduates will become leaders equipped to drive technological innovation, cultivate a global mindset, and respond to the evolving needs of the future employment landscape!  The deliberation of the diverse emerging technologies will be included in the Programme. Key areas of focus will include: 5G and Advanced Connectivity, Extended Reality (VR/AR), Internet of Things (IoT), Web 3.0 Technologies, Biotechnology and Personalised Medicine, Robotics and Automation, Algorithmic-guided selling, 3D Printing & Bioprinting. 

Study duration:
Full-time: 12 months
Part-time: 24 months

Programme code: A1M123 (FT) / C2M052 (PT)

*The tuition fee is subject to annual review and adjustment. The University reserves the right to make changes to tuition fee without prior notice.

Programme overview

Main Subject

Education and Training

Degree

MA

Study Level

Masters

Study Mode

On Campus

The Master of Arts in Emerging Technology for Future Workforce (MA(ETFW)) program aims to cultivate forward-thinking professionals who can navigate and shape the rapidly evolving emerging technological landscape in the workforce settings.  Graduates will become leaders equipped to drive technological innovation, cultivate a global mindset, and respond to the evolving needs of the future employment landscape!  The deliberation of the diverse emerging technologies will be included in the Programme. Key areas of focus will include: 5G and Advanced Connectivity, Extended Reality (VR/AR), Internet of Things (IoT), Web 3.0 Technologies, Biotechnology and Personalised Medicine, Robotics and Automation, Algorithmic-guided selling, 3D Printing & Bioprinting. 

Study duration:
Full-time: 12 months
Part-time: 24 months

Programme code: A1M123 (FT) / C2M052 (PT)

*The tuition fee is subject to annual review and adjustment. The University reserves the right to make changes to tuition fee without prior notice.

Admission Requirements

59+
5.5+
General Requirements: Recognised Bachelor's Degree or other equivalent qualifications.
English Language Proficiency Requirements: Applicants from institutions where English is not the medium of instruction are required to demonstrate English proficiency that meets the programme’s established standards. Priority will be given to applicants who have achieved scores in the following recognised English proficiency tests: i. Overall score of IELTS 5.5 (academic version)#; ii. TOEFL score of 59 (internet-based test)#; iii. Band 6 in the College English Test (CET)# with a total score of 430; iv. Grade C or above in GCSE/GCE O-Level English; or v. 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 (全國碩士研究生招生考試) are NOT acceptable.

12 Months
Sep

Tuition fees

Domestic
18,881 USD
International
23,602 USD

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