DEPARTMENT OF MATHEMATICAL SCIENCES

Master of Science (Coursework)

Degrees offered:

Introduction

This program is divided into three modules as follows:
  • Pure Mathematics
  • Applied Mathematics
  • Management and Financial Mathematics
Program Structure

Candidates pursuing the program by coursework must register and pass at least 32 credit hours (core and elective courses) and complete a research project of 8 credit hours.

Pure Mathematics Module

Applied Mathematics Module

Management and Financial Mathematics Module

Courses Offered:

  • STQA6014 Investment Analysis and Portfolio Management
  • STQA6024 Security Derivatives and Risk Management
  • STQA6034 Issues in Risk Management and Insurance
  • STQM6024 Biomechanics
  • STQM6034 Decision and Game Analysis
  • STQM6044 Cryptology
  • STQM6064 Mathematical Modeling and Methods
  • STQM6074 Numerical Analysis
  • STQM6084 Linear Programming
  • STQM6114 Topology
  • STQM6124 Algebra
  • STQM6134 Functional Analysis
  • STQM6214 Fuzzy Mathematics
  • STQM6224 Complex Analysis
  • STQM6234 Ergodic Theory
  • STQM6254 Combinatorial Group Theory
  • STQM6274 Measure Theory and Integration
  • STQM6294 History and Philosophy of Mathematics
  • STQM6324 Numerical Methods for Heat Transfer and Fluid Flow
  • STQM6414 Dynamical System
  • STQM6524 Linear Modeling of Non-Deterministic Dynamical System
  • STQM6534 Fluid Mechanics
  • STQM6624 Simulation
  • STQM6654 Mathematical Economics and Finance in Business
  • STQM6988 Research Project
  • STQS6244 Stochastic Process
  • STQS6274 Statistical Computing
  • STQS6444 Time Series Modeling and Forecasting
  • STPD6014 Research Methodology

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 Program (Statistics) offers several courses in statistics, suitable for candidates who want to further their education in this area. The program emphasizes the theory and application of statistics so that candidates would master the statistical knowledge and able to apply it.

Program Structure

Candidates who wish to do coursework, 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 master's program. These courses are:

Code Name of courses Units
STQS6004 Calculus and Matrix Algebra for Statistics 4
STQS6014 Mathematical Statistics 4
STQS6024 Modeling and Data Analysis 4
TOTAL 12
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

Introduction

This program is offered to address the challenging issues of quality and productivity in the industrial environment. The main courses offered range from total management techniques and their philosophy to product quality improvement and services with more emphasis on the application of the statistical methods. The main message is to make the consumers understand that the application of scientific methods and statistics will bring improvement to product quality and services.

Program Structure

Candidates taking the program by Coursework are required to enrol and pass 28 units of courses (core and elective) and to complete 8 units of a Research Project. Candidates are also required to enrol in 1 compulsory course offered by the faculty; STPD6014 Research Methodology.

This program is divided into three modules as follow:

  • Public Sector
  • Manufacturing Sector
  • Service Sector

Public Sector Module

Manufacturing Sector Module

Service Sector Module

Courses Offered:

  • STPD6014 Research Methodology
  • STQK6114 Quality Assurance and Standardization
  • STQK6124 Process Control and Quality Improvement
  • STQK6134 Total Quality Management
  • STQK6154 Organizational Performance Measurement
  • STQK6264 Supply Chain Management
  • STQK6324 Service Delivery System in the Public Sector
  • STQK6514 Quality Management in Service Sector
  • STQK6524 Productivity Measurement
  • STQK6534 Marketing Research Methods
  • STQK6544 Quality Design and System Reliability
  • STQK6988 Research Project

Introduction

Data science is a multidisciplinary field of study that involves scientific methods, processes and systems in extracting both explicit and implicit information from a variety of data structures. It combines the knowledge of mathematics and statistics, programming and data analytics. This master program offers a variety of courses with emphasis on data analytics. Candidates are free to choose from three different learning modules: Data Computing, Data Analytic, and Finance & Business Analytic to match their interests and career paths. The aim of the program is to produce knowledgeable, ethical and competitive graduates who can contribute to the nations.

Program Structure

This program is divided into three modules as follows: 1. Data Computing 2. Data Analytic 3. Finance and Business Analytic Candidates must register and pass at least 36 credit hours (core and elective courses) and complete a capstone project of 9 credit hours.

Data Computing Module

Data Analytic Module

Finance and Business Analytic Module

Courses Offered
  • STQA6014 Investment Analysis and Portfolio Management
  • STQA6034 Issues in Risk Management and Insurance
  • STQD6014 Data Science
  • STQD6024 Machine Learning
  • STQD6114 Unstructured Data Analytics
  • STQD6124 Data Visualization and Communication
  • STQD6134 Business Analytics
  • STQD6214 Mathematical Statistics with Computing
  • STQD6324 Data Management
  • STQD6334 Multicriteria Decision Making
  • STQD6414 Data Mining
  • STQD6524 Statistical Methods for Computational Biology
  • STQD6889 Capstone Project
  • STQM6154 Network Science
  • STQP6014 Research Methodology and Industrial Seminar
  • STQS6234 Bayesian Inference
  • STQS6284 Multivariate Analysis
  • STQS6444 Time Series Modelling and Forecasting