MASc / MSc in Intelligent Construction and Building Information Modelling (MASCICBIM / MSCICBIM)

School of Science and Technology Programmes Department of Construction and Quality Management MASc / MSc in Intelligent Construction and Building Information Modelling (MASCICBIM / MSCICBIM)

MASc / MSc in Intelligent Construction and Building Information Modelling (MASCICBIM / MSCICBIM)

Programme code :MASCICBIM / MSCICBIM
Type of programme/ Mode of study:Full-time and Part-time Master's Degree Programme
Medium of instruction:English

Entry Requirements

Students admitted to the Master of Applied Science / Master of Science in Intelligent Construction and Building Information Modelling (MASCICBIM / MSCICBIM) programme suite should have
  •  A recognized degree or equivalent qualification, with preferably work experience in the construction industry; OR

  •   A recognized sub-degree in construction-related discipline, with at least 10 years of work experience in the construction industry.

  • English language proficiency requirements: Applicants must meet the following English proficiency requirements if their Bachelor's Degrees or equivalent qualification did not adopt English as the medium of instruction.

Proficiency Test
Minimum score
English Language Subject of the Hong Kong Diploma of Secondary Education Examination (DSE)
Level 3
TOEFL – paper-based
550
TOEFL – paper delivered
60 (total scores for Reading, Listening and Writing sections)
TOEFL iBT (including Home Edition)
79
IELTS (including IELTS Online)
6.0
CET-6
430
English written test conducted by HKMU*
Pass
OR equivalent

*Applicable to certain programmes only. For details, please refer to the programme information online.

For more information regarding the Entry Requirements and the English language proficiency requirements, please visit https://admissions.hkmu.edu.hk/tpg/entry-requirements/ .

Shortlisted applicants will be invited to attend a (face-to-face or online) admission interview after submitting applications.  Applicant must have passed the admission interview for successful application.

Programme Aims

This programme suite aims to provide students with a comprehensive theoretical background and practical knowledge in intelligent construction, digitalization, and sustainable development in engineering project management. It aims to equip graduates with technical and digital construction-related knowledge and managerial skills to cope with emerging challenges in the construction industry.

Both Master of Applied Science in Intelligent Construction and Building Information Modelling (MASCICBIM) and Master of Science in Intelligent Construction and Building Information Modelling (MSCICBIM) need complete 30 credit-units. The MASCICBIM must complete the 6 credit-units project (Applied Project for Intelligent Construction).

Programme Structure

Courses Lists for MASCICBIM / MSCICBIM

Course CodeCourse TitleCreditMASCICBIMMSCICBIM
ENGG 8001SEFBIM Platform3CompulsoryCompulsory
ENGG 8002SEFBIM Coordination3CompulsoryCompulsory
ENGG 8003SEFBIM Management3CompulsoryCompulsory
ENGG 8004SEFModular Integrated Construction3CompulsoryCompulsory
ENGG 8005SEFGreen and Intelligent Building3CompulsoryCompulsory
ENGG 8006SEFApplied Project for Intelligent Construction 6CompulsoryN/A
ENGG 8007SEF*Engineering Technology and Construction3ElectiveElective
ENGG 8008SEF*Green and Sustainable Energy for Building3ElectiveElective
ENGG 8009SEF*IoT for Construction3ElectiveElective
ENGG 8010SEF*Artificial Intelligence in Engineering Technology3ElectiveElective
ENGG 8011SEF*Environmental Assessment Methodology for Building3ElectiveElective
ENGG 8012SEF*Sustainable Management for Engineering Projects3ElectiveElective
ENGG 8013SEF*Quality Management System3ElectiveElective

* For MASCICBIM, three elective courses are required from these choices.

* For MSCICBIM, five elective courses are required from these choices.

Teaching and Learning

Students will learn through part-time or full-time face-to-face mode with online support. Regular face-to-face lectures and tutorials are available in all the prescribed courses except project course ICBM 8006SEF. Workshops, day-schools, and/or laboratory sessions are available in some courses as well. These face-to-face sessions aim to provide opportunities for students to discuss academic issues with their lecturers and acquire practical laboratory skills. All the prescribed courses will also be supported by the HKMU Online Learning Environment (OLE), which provides online discussion for interaction among students and between lecturers and students. This allows discussion of theories explained in the courses, their applications and evaluations. The project course ICBM 8006SEF will be supervised by a designated faculty together with practitioner in industry with the support of laboratory technicians as appropriate.

Career Prospects

The programme suite offers postgraduate students cutting-edge knowledge and digital construction-related skills such as BIM, sustainable design and management related to civil works, building works, repair, maintenance, alteration, and additional work. Graduates will emerge with a competitive edge in the job market, bolstered by the escalating demand for smart construction expertise in both public and private sectors.

Contact Information

Tel: 3120 2732

WhatsApp: 3120 2700

Email: cqm@hkmu.edu.hk

Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course Code Title Credits
  COMP S321F Advanced Database and Data Warehousing 5
  COMP S333F Advanced Programming and AI Algorithms 5
  COMP S351F Software Project Management 5
  COMP S362F Concurrent and Network Programming 5
  COMP S363F Distributed Systems and Parallel Computing 5
  COMP S382F Data Mining and Analytics 5
  COMP S390F Creative Programming for Games 5
  COMP S492F Machine Learning 5
  ELEC S305F Computer Networking 5
  ELEC S348F IOT Security 5
  ELEC S371F Digital Forensics 5
  ELEC S431F Blockchain Technologies 5
  ELEC S425F Computer and Network Security 5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5