Master of Science in Operational Research and Business Statistics
Programme Director: Dr LUO, Dehui
The aim of the programme is to provide an opportunity of further education for working professionals in the field of Operational Research and Business Statistics, and to offer well-motivated individuals a path for career conversion into the field of Operational Research and Business Statistics. Students acquire a solid foundation in the principles of Operational Research and Business Statistics, and a wealth of knowledge of software packages and their applications.
The programme teachers are either from the Department of Mathematics, Hong Kong Baptist University or from the Business School, University of Kent. The faculty members in the Department of Mathematics of Hong Kong Baptist University have very strong background in Statistics and Operational Research. The University of Kent has an excellent international reputation. Kent Business School has a very strong faculty in both teaching and research. Their experience and expertise, in particular in the area of business and management would give us the strength in practical, operational, and managerial areas. To strengthen our teaching and broaden the students’ learning, teachers from the University of Kent offer several courses every year.
Students can select full-time or part-time study mode. For both study modes, students will attend classes on weekday daytime/evenings and/or Saturdays/Sundays. For the full-time study mode, the normal period of study is 12 months (3 trimesters). For the part-time study mode, the normal period of study is 24 months (6 trimesters).
Students will have to complete 11 courses (34 units) and a MSc Dissertation (6 units), and earn a cumulative GPA of at least 2.50 to qualify for the two MSc degrees:
- Master of Science in Operational Research and Business Statistics (conferred by Hong Kong Baptist University)
- Master of Science in Business Analytics (conferred by University of Kent)*
The structure of the curriculum is as follows:
| I) | Required Courses | 25 units |
| II) | Dissertation | 6 units |
| III) | Elective Courses | 9 units |
| 40 units |
Requirements
| I. | Required Courses | 25 units |
| MATH7960 Applied Multivariate Analysis | 3 units | |
| MATH7790 Prescriptive Analytics for Decision Making | 4 units | |
| MATH7810 Business Statistics with Python | 3 units | |
| MATH7820 Simulation Modelling | 3 units | |
| MATH7830 Machine Learning and Forecasting | 4 units | |
| MATH7840 Advanced Spreadsheets and Decision Support Systems | 3 units | |
| MATH7970 Applied Time Series | 3 units | |
| MATH7990 Regression Analysis | 2 units | |
| II. | Dissertation | 6 units |
| MATH7941 Dissertation I | 3 units | |
| MATH7942 Dissertation II | 3 units | |
| III. | Elective Courses | 9 units |
| MATH7800 Techniques of Production Operations Management | 3 units | |
| MATH7850 Managing Organisational Performance | 3 units | |
| MATH7860 Quantitative Models for Marketing | 3 units | |
| MATH7870 Big Data Analytics and Visualisation | 3 units | |
| MATH7880 Survey Sampling and Experimental Design | 3 units | |
| MATH7890 Actuarial Statistics | 3 units | |
| MATH7900 Network and Project Management | 3 units | |
| MATH7910 Derivatives | 3 units | |
| MATH7920 Work-based Learning | 3 units | |
| MATH7930 Risk and Portfolio Management | 3 units | |
| MATH7980 Advanced Operational Research | 3 units | |
| MATH7005 Data Analytics with Programming | 3 units | |
| 40 units |
* This is an exempted course under the NON-LOCAL HIGHER AND PROFESSIONAL EDUCATION (REGULATION) ORDINANCE CAP 493 (Ref. no.: 452850). It is a matter of discretion for individual employers to recognise any qualification to which this course may lead.
