Master of Science (Statistics)

INTRODUCTION
Statistics is an area of study that deals with the collection, classification, analysis and interpretation of data to explain reality based on the scientific method. The Master of Science Programme (Statistics) offers several courses in statistics, suitable for candidates who want to further their education in this area. The programme emphasizes on the theory and application of statistics so that candidates would master the statistical knowledge and able to apply it.

ENTRY REQUIREMENTS
The candidate applying for the Master of Science (Statistics) programme must possess:
a) Bachelor of Science degree with a good CGPA in the field of statistics from Universiti Kebangsaan Malaysia or other universities approved by the Senate; or
b) Bachelor of Science degree with a good CGPA in the related field from Universiti Kebangsaan Malaysia or other universities approved by the Senate.

PROGRAM EDUCATIONAL OBJECTIVE (PEO)
PEO1: Produce highly skilled, ethical and competitive student.
PEO2: Equip students with the ability to translate and synthesize their understanding towards nature, human and development.
PEO3: Equip students with the awareness towards environment and uphold the established development.
PEO4: Equip students with the ability to utilize the statistical problem solving method such as analysis, modelling, programming and application of statistical software in addressing the development issues and current changes.
PEO5: Equip students with the scientific approaches in generating and sharing knowledge involving is inter- and intra- discipline in nature; and
PEO6: Equip students with a high creative and innovative ability and able to contribute ideas toward the process of establishing policy, decision making and development implementation.

PROGRAM LEARNING OUTCOME (PLO)
PLO1: Able to apply the knowledge on mathematical sciences.
PLO2:Able to design the methodology suitable to the problem encountered.
PLO3: Able to analyse and interpret outputs and generate new ideas based on the outputs.
PLO4: Able to gather, utilize and generate information.
PLO5: Able to manage emotion.
PLO6: Honour noble character and aesthetical values towards the Creator, customers and society.
PLO7: Able to lead, work in a team and give priority to the success of a team.
PLO8: Able to communicate effectively through speaking and writing both in Bahasa Malaysia and English.
PLO9: Able to understand mathematical science solution in every dimension of life.
PLO10: Able to recognize the needs for continuous learning and practice it throughout the whole life.
PLO11: Possess the entrepreneur characteristics.

PROGRAMME STRUCTURE
Candidates who wish to do course work, must attend and pass at least 32 credit hours of courses (compulsory and elective courses) and complete a Research Project of 8 credit hours. Candidates who do not have a good foundation of statistics must take a few preliminary courses as listed below and must pass with an average grade of B before pursuing the masters program. These courses are:


Code                     Name of Corses                                                  Units 


STQS6004             Calculus and Matrix Algebra for Statistics                   4

STQS6014             Mathematical Statistics                                                    4

STQS6024           Modeling and Data Analysis                                             4


TOTAL                                                                                                         12


STATS

Candidates who wish to choose the program by thesis must take 12 credit hours of courses and write up a thesis. The 12 credit hours that are required include:

  • STPD6014 Research Methodology
  • Two courses valued 8 credit hours related to the research field.

COURSES OFFERED
STPD6014 Research Methodology
STQS6004 Calculus and Matrix Algebra for Statistics
STQS6014 Mathematical Statistics
STQS6024 Modeling and Data Analysis
STQS6034 Statistical Inference
STQS6064 Medical Statistics
STQS6094 Sampling Techniques
STQS6234 Bayesian Inference
STQS6244 Stochastic Process
STQS6254 Design and Analysis of Experiments
STQS6274 Statistical Computing
STQS6284 Multivariate Analysis
STQS6424 Nonparametric Methods
STQS6444 Time Series Modeling and Forecasting
STQS6584 Statistical Modeling
STQS6988 Research Project