Diploma in Applied Statistics

School of Science and Technology Programmes Department of Electronic Engineering and Computer Science Diploma in Applied Statistics

Programme Information for New Students

Programme Regulations

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Programme Regulations
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Note: Enrolled students who cannot find their course here should click on the above link 'Programme Regulations'.
Diploma in Applied Statistics
Programme description
Programme requirements
Choosing the first courses to get started
Related programmes
Enquiries

Programme description

The programme provides professional training specializing in the field of statistical decision analysis and quantitative skills, and equips graduates to work as statistical analysts in marketing research, financial analysis, industrial sectors and government agencies. Students will be eligible for exemption from the Ordinary Certificate and Higher Certificate Examination offered by the Hong Kong Statistical Society (HKSS) if students have passed at grade 3 or above in the courses: MATH S242, MATH S280, MATH S350 and MATH S346.

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Programme requirements

Students pursuing this programme must successfully complete at least 60 credits as follows:
(a) 20 credits from:

Course code
(Click the course
code for details)

Course title Credits Level
MATH S121 A Foundation in Pure Mathematics 10 Foundation
MATH S122 A Foundation in Applied Mathematics 10 Foundation
(b) 40 credits from:

Course code
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code for details)

Course title Credits Level
MATH S280 Statistical Methods for Decision Analysis 10 Middle
MATH S346 Linear Statistical Modelling 10 Higher
MATH S350 Applied Probability Models for Decision Making 10 Higher
STAT S242 Statistics in Society 10 Middle
 

Note:

Credits gained in this Diploma can count towards the requirements for the BSc/BSc(Hons) in Statistics and Decision Science, or BSc/BSc(Hons) in Mathematical Studies through articulation of qualifications. Credits from STAT S242 can only be counted as free choice credits for BSc/BSc(Hons) in Mathematical Studies.

 

Professional recognition

The Hong Kong Statistical Society
 
The Hong Kong Statistical Society has granted accreditation to students of the Mathematics and Statistics Programmes of the School of Science and Technology to obtain the Society's Graduate Diploma, Higher Certificate, and Ordinary Certificate. Details are given below.
 
Ordinary Certificate:
 
Students are given accreditation for the Ordinary Certificate if they achieve a pass at grade 3/C+ or above in STAT S242 Statistics in Society and MATH S280 Statistical Methods for Decision Analysis.
 
Higher Certificate:
 
Students are given accreditation for the Higher Certificate if they fulfil either one of the following requirements:
 
(a)          Obtain a grade 3/C+ or above in STAT S242 Statistics in Society, MATH S280 Statistical Methods for Decision Analysis, MATH S346 Linear Statistical Modelling and MATH S350 Applied Probability Models for Decision Making.
 
(b)          Obtain accreditation for the Hong Kong Statistical Society Ordinary Certificate, and also obtain a grade 3/C+ or above in MATH S346 Linear Statistical Modelling and MATH S350 Applied Probability Models for Decision Making.
 
Entire Graduate Diploma
 
Students are given accreditation for the entire Graduate Diploma if they have passed at grade 3/C+ or above in all six of the following courses: STAT S242 Statistics in Society, MATH S280 Statistical Methods for Decision Analysis, MATH S249 Practical Modern Statistics, MATH S346 Linear Statistical Modelling, MATH S350 Applied Probability Models for Decision Making, STAT S347 Mathematical Statistics.
 
Individual modules of the Graduate Diploma
 
Students are given accreditation for individual modules of the Graduate Diploma if they have passed at grade 3/C+ or above in the following:
(a)          MATH S280 + MATH S350 accreditation for Module 1 of the Graduate Diploma.
(b)          MATH S249 + MATH S350 accreditation for Module 3 of the Graduate Diploma.
(c)          STAT S242 + MATH S346 accreditation for Module 4 of the Graduate Diploma.
(d)          Individuals who have obtained accreditation for Modules 1, 3 and 4 of the Hong Kong Statistical Society Graduate Diploma and passed STAT S347 at grade C+ or above will fulfill the accreditation requirement of the entire Graduate Diploma.
 
Remark 1: Students who have obtained accreditation for the entire Graduate Diploma are deemed to have fulfilled the requirements of Graduate Statistician membership of the Hong Kong Statistical Society.
 
Remark 2: Among discontinued courses, successful completion of MATH S242 is considered as completion of STAT S242; completion of MATH S245/MATH S246/MATH S248 is considered as completion of MATH S280; completion of MATH S343 is considered as completion of MATH S350; and completion of MATH S345 is considered as completion of MATH S346.

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Choosing the first courses to get started

Students taking the Diploma in Applied Statistics programme are advised to start with MATH S242 Statistics in Society, which introduces the fundamental concepts in statistics. Alternatively, students can take the following as the first courses:

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Related programmes

Master of Science in Quantitative Analysis and Computational Mathematics (60 credits)
Master of Science in Quantitative Analysis and Computational Mathematics (through Pathway 1) (40 credits)
Postgraduate Diploma in Quantitative Analysis and Computational Mathematics (40 credits)
Postgraduate Certificate in Quantitative Analysis (20 credits)
Postgraduate Certificate in Computational Mathematics (20 credits)
Bachelor of Science in Mathematical Studies (120 credits)
Bachelor of Science with Honours in Mathematical Studies (160 credits)
Bachelor of Science in Statistics and Decision Science (120 credits)
Bachelor of Science with Honours in Statistics and Decision Science (160 credits)

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Enquiries

For enquiries about the programmes, please contact:

Dr Tony Chan 陳滿棠博士

Tel: 2768 6867

Email: tmtchan@ouhk.edu.hk

School of Science & Technology website

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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