This programme are offered by full research. Students without sufficient research skills and knowledge are required to enroll and pass the following courses (i.e. before being allowed to defend their thesis proposal):
  1. SZRZ6014 Research Methodology
  2. SCLE6014 Academic Writing
  3. Any other courses as determined by the supervisor or Academic Committee

To complete this programme, sudents are required to;
  1. present and defend the proposed research to a committee
  2. present progress reports of research work at colloquiums arranged by the Graduate School or College
  3. attend viva session to defend the thesis
  4. submit a final thesis.

ADMISSION REQUIREMENT

Applicants for master’s programme by research must possess:

  1. a bachelor’s degree with Honours from Universiti Utara Malaysia or any other institutions of higher learning recognised by the   University Senate with a CGPA of at least 75; OR
  2. a bachelor’s degree from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of 00 to 2.74 and relevant work experience; OR
  3. any other equivalent qualifications recognised by the University Senate; AND
  4. fulfil the English language requirement as set by the University Senate.

Research Area

Topics are related to numerous quantitative science areas as follows (but not limited),

DECISION SCIENCE

  • Aritificial Intelligence
  • Data Mining
  • Data Visualization
  • Decision Support System
  • Decision Theory
  • Game Theory
  • Metaheuristics
  • Multi-Criteria Decision Making
  • Optimization
  • Queuing Theory
  • Simulation System
  • System Dynamics
  • Timetabling and Scheduling

MATHEMATICS

  • Combinatorics
  • Discrete Geometry and Topology
  • Dynamical System
  • Fluid Dynamics
  • Fuzzy Mathematics
  • Game Theory
  • Graph Theory
  • Interpolation and Approximation
  • Mathematical Cryptography
  • Mathematical Finance and Actuary
  • Mathematical Modelling
  • Numerical Analysis

STATISTICS

  • Acceptance Sampling
  • Classification and Discrimination Analysis
  • Computational Statistics
  • Exploratory Data Analysis
  • Forecasting
  • Fuzzy Time Series
  • Multivariate Analysis
  • Regression Analysis
  • Robust Statistics
  • Spatial Analysis
  • Statistical Modelling
  • Statistical Quality Control
  • Survival Analysis
       ** Please refer Directory of Expertise for potential supervisor.

CURRENT STUDENTS