Postgraduate Courses

M.Sc. and PG.Dip. in Applied Statistics

The program consists of three parts, namely, Part 1, Part II and Part III.

Part 1 consists of 5 course units worth of 5 credits, which introduce elementary statistics and probability with minimal application of mathematics. Contents are restricted to standard applications of statistics without much theory.

Part II consists of 10 course units worth of 15 credits, which introduce essential statistical methods with basic theory without much mathematical proofs.

Part III consists of 5 course units worth of 10 credits and a research project worth of 450 credits. In this part students will learn advanced statistical theory and techniques.

Total program, including lectures and examinations, requires approximately 92 working Saturdays. Total duration of the M.Sc. program is approximately 2 years. The lengths of parts 1, 2, and 3 are approximately 4 months, 12 months, and 8 months, respectively.

Part I

STA 501 1.0 Elements of Probability and Descriptive Statistics
STA 502 1.0 Elements of Sample Surveys
STA 503 1.0 Elements of Statistical Inference
STA 504 1.0 Elements of Statistical Modelling
STA 505 1.0 Elementary Data analysis
STA 501 1.0 Elements of Probability and Descriptive Statistics
STA 502 1.0 Elements of Sample Surveys
STA 503 1.0 Elements of Statistical Inference
STA 504 1.0 Elements of Statistical Modelling
STA 505 1.0 Elementary Data analysis

Part II

STA 506 2.0 Linear Regression Analysis
STA 507 2.0 Design and Analysis of Experiments
STA 508 2.0 Time Series Analysis
STA 509 1.5 Generalized linear models
STA 510 1.5 Sampling Methods
STA 511 1.5 Categorical Data Analysis
STA 512 1.5 Data analysis and Statistical Computing
STA 513 1.0 Medical Statistics
STA 514 1.0 Industrial Statistics
STA 515 1.0 Actuarial Statistics

Part III

STA 516 2.5 Advanced Probability and distribution Theory
STA 517 2.5 Advanced Statistical Inference
STA 518 2.0 Multivariate Statistics
STA 519 2.0 Data analysis and Statistical Computing
STA 520 1.0 Research Methodology
30.0 Research Project