Master of Science in Quantitative Analysis and Computational Mathematics

School of Science and Technology Programmes Department of Electronic Engineering and Computer Science Master of Science in Quantitative Analysis and Computational Mathematics

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Master of Science in Quantitative Analysis and Computational Mathematics
MSCQACMF
Face-to-face postgraduate programme (full-time or part-time)

The MSCQACMF and PDQACMF programmes are phasing out starting from the 2021 Spring Term.

Programme description


This programme is designed for those learners who wish to enhance their quantitative skills, and who are interested in embarking on a career in the fields of engineering, managerial science, business analysis, computing technology, financial services, education or research. The programme will provide rigorous training in quantitative analysis for decision making, as well as in computational methods for simulation and prediction.

Full-time and part-time students can normally complete the programme in 1 year to 2 years.

Programme-specific entry requirements:
(a) a Bachelor's Degree, or equivalent, in a related discipline from a recognized institution; or
(b) a Bachelor's Degree, or equivalent, in any academic discipline from a recognized institution plus at least two years' working experience in relevant fields; or
(c) a Postgraduate Certificate in Quantitative Analysis awarded by OUHK, or equivalent; or
(d) a Postgraduate Certificate in Computational Mathematics awarded by OUHK, or equivalent.


The following new programme structure will be applied to current students who enrolled in/after September 2018 intake:

(a) Obtain 40 credits from the core courses:
  MATH S811F Computer Algebra and Simulations (10)
  MATH S812F Computational Methods for Risk Analysis and Decision Making (10)
  STAT S801F Quantitative Methods for Decision Analysis (10)
  STAT S802F Multivariate and Time Series Analysis (10)
     
(b) Obtain 20 credits from the following course:
  STAT S822F Research Project in Quantitative Analysis and Management Science (20)

 

The following revised programme structure will be applied to students who enroll before September 2018 intake:

(a) Obtain 40 credits from the following core courses:
  MATH S811F Computer Algebra and Simulations (10)
  MATH S812F Computational Methods for Risk Analysis and Decision Making (10)
  STAT S801F Quantitative Methods for Decision Analysis (10)
  STAT S802F Multivariate and Time Series Analysis (10)
     
(b) Obtain 20 credits from either
  (i) STAT S822F Research Project in Quantitative Analysis and Management Science (20)
    or
  (ii) STAT S821F Quantitative and Computational Project (10) with 10 credits of the following elective courses:
  COMP S801^ Object Oriented Programming and Internet Application Development (10)
  COMP S888^ Multimedia Technology (10)
  ENGG S837F Systems Engineering (10)
  ENGG S838F Innovation & Technology Management (10)
  FIN B850^ Investment and Portfolio Management (10)
  FIN B851^ Financial Planning and Risk Management (10)
  ENVR S835^ Environmental Control, Monitoring and Modeling (10)

Enquiries

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* The credit value is given in brackets at the end of the course title.

^ These courses are delivered in distance-learning mode.

# Subject to approval by the University.

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