The programme is designed to upgrade the analytical skills of managerial and technical personnel for their career advancement and to enhance their competence in applications of statistics. The focus is on highly sought after data analysis skills demanded by the industries. The programme aims to provide training in the arts and science of collecting, organizing, presenting, analyzing and interpreting numerical data, and the ability to use the results for decision making and problem solving in a range of fields including banking, business, economics, health, population studies and social sciences. The programme is practical-oriented and emphasis is given to the use of software in developing statistical skills.
The technical nature of this degree will enable the Graduates to be exposed to frontier knowledge in biostatistics, demographics, marketing research, time series analysis, financial econometrics and operation research. In addition to prepare the Graduates to build careers which are related to statistical application in software companies, survey companies, research houses, financial institutions, fund management, central banking and bureau of statistics, the Graduates will also find themselves equipped with the foundation to pursue higher degree at doctoral level.
Visit the website http://fep.um.edu.my/student/postgraduate/mappstats
International applicants who have not received a bachelor's degree from an institution in which the language of instruction is English must show proof of a minimum standard of proficiency in English. The minimum English language requirement for purposes of admission is:
(a) a score of 550 for paper-based total or 213 for computer-based total for the Test of English as a Foreign Language (TOEFL); or
(b) a band of 6 for the International English Testing System (IELTS).
Structure of Programme
Candidates of this programme are required to take four (4) Core Courses. For the Optional Courses, candidates may choose to take eight (8) courses, or, five (5) courses together with one (1) Research Paper. The courses are:
- ESGC6120 Statistical Methods
- ESGC6121 Survey Techniques and Sampling Design
- ESGC6122 Experimental Design
- ESGC6123 Statistical Data Analysis
ESGC6113 Computer Information Systems
ESGC6115 Time Series Analysis
ESGC6181 Research Paper
ESGC6317 Actuarial Statistics
ESGC6318 Applications of Demographic Techniques
ESGC6319 Marketing Research Techniques
ESGC6322 Operations Research Methods
ESGC6328 Applied Financial Econometrics
ESGC6355 Readings In Applied Statistics
ESGC6356 Applied Econometrics
EXGA6112 The Malaysian Economy
EXGA6113 Financial Markets & Institutions
EXGA6122 Philosophy and Methodology of Research
EXGA6303 Applied Macroeconomics
EXGA6304 Money and Finance in Economic Development
Duration of Programme
The minimum period of study is 3 semesters and the maximum period of study is 8 semesters. Each academic year consists of two semesters, commencing in September (Semester I) and February (Semester II) of each year.
Programme by Dissertation
The Faculty also offers the Master of Applied Statistics programme fully by dissertation. This programme is only open to graduates with exceptionally good qualifications (First Class Honours or CGPA of at least 3.7), and has experience in academic writing (proof of publication is necessary). This programme requires students to submit a dissertation of not exceeding 60,000 words at the end of the programme. In addition, the Faculty may set as a requirement for a candidate to follow prescribed courses. Those interested in the programme is advised to contact the Faculty for further details.
Programme Brochure - http://www.fep.um.edu.my/images/fep/postgraduate/broucher%20MAS%202015.pdf
Graduates will be able to find careers which are related to data analysis, data mining or become software application specialist in:
- Government agencies ( Department of Statistics, LPPKN and others)
- Educational services (universities, colleges and others)
- Financial Institutions (central bank, commercial banks)
- Software companies (SPSS, SAS and others)
- Research houses (stockbroking, fund management, insurance)
- Marketing research companies (Social, media or brand research like Ipsos or Nielsen)