MASTER OF SCIENCE (RESEARCH)

The Master of Science (M.Sc.) by research programme is designed to produce skilled graduates with in-depth knowledge in their related area of research to work independently, competently, creatively, innovatively and professionally. Simultaneously these graduates are able to use their new specialized capabilities to contribute to the body of knowledge for the benefit of mankind.

The learning outcomes of this programme are as follows:

  • apply in-depth knowledge, advanced theories and models related to the relevant research areas.
  • possess the ability to comprehend the problems, design and execute the research at the highest level of scholarship.
  • synthesise advanced multidisciplinary knowledge to improve the skills in decision-making and problem solving as well as having to ability to be creative and innovative.
  • communicate with experts and peers in related areas to spearhead advanced knowledge through research.
  • possess high values and ethics, excellent attitude and leadership capabilities in academic and professional contexts.
  • contribute to the development of knowledge through the production of quality dissertation and publications of international standards.

The programme is offered by full research. However, students without sufficient research skills and knowledge are required to enroll and pass the following courses during the first TWO (2) semesters of their enrolment (i.e. before being allowed to defend their thesis proposal):

  1. SZRZ6014 Research Methodology
  2. SCLE6014 Academic Writing
  3. Any other course as determined by the supervisor or Academic Committee.

To complete the programme, students are required to:

  1. Present and defend the proposed research/thesis to a committee;
  2. Present progress reports of research work at colloquiums arranged by the Graduate School or College;
  3. Attend a viva session to defend the thesis; and
  4. Submit a final thesis.

Applicants for the master's programme by research must possess:

  • 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 2.75; OR
  • a bachelor’s degree from Universiti Utara Malaysia or any other institutions of higher learning recognised by the University Senate with a CGPA of 2.00 to 2.74 and relevant work experience; OR
  • any other equivalent qualifications recognised by the University Senate; AND
  • fulfil the English language requirement as set by the University Senate.

Click here for English Language Requirements.

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

 

 Decision Science/ Operations Research Mathematics   Statistics
  • Artificial 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
  • 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
  • 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 Expertise for potential supervisor.

COMPLETED THESES

 THESIS TITLE STUDENT  SUPERVISOR & CO-SUPERVISOR 

Goal Programming and Fuzzy Approach in Determining Mutual House Price and Affordability: A Study in Kedah, Malaysia

 Nor Syuhadah Saidin

Dr. Nerda Zura Zaibidi (Assoc. Prof.)

Dr. Nor Intan Saniah Sulaiman

Decision Support System for Building Information Modelling Software Selection: A Case Study in Construction

 Ahmad Taufik Nursal Dr. Mohd Faizal Omar (Assoc. Prof.)
Collaborative-Based Web Recommender System for Community-Driven Homestay Programmes Mahadi Hasan Miraz

Dr. Razamin Ramli (Prof.)

Dr. Ku Ruhana Mahamud (Prof.)
Travel Demand Strategies Optimisation Model Through Integration of System Dynamics and Genetic Algorithm to Mitigate Congestion in Urban Areas Khairah Nazurah Karim

Dr. Norhaslinda Zainal Abidin (Assoc. Prof.)

Dr. Antoni Wibowo
Integration of System Dynamics and Fuzzy TOPSIS to control dengue transmission Ibnu Affan Jaafar

Dr. Norhaslinda Zainal Abidin (Assoc. Prof.)

Dr. Jastini Jamil
THESIS TITLE STUDENT SUPERVISOR & CO-SUPERVISOR
Quantum System Behaviour of Jaynes-Cummings Model with Kerr-Like Medium Chan Yeen Chia Dr. Haslinda Ibrahim (Prof.)
New Block Predictor-Corrector Methods for Solving Third Order Ordinary Differential Equations Directly Yahaya Aliyu Andullahi

Dr. Zurni Omar (Prof.)

Dr. Teh Yuan Ying
The Enhancement of Markov Chain Model by Integrating Smoothing Techniques Fadilah Jamaluddin Dr. Rahela Abdul Rahim (Assoc. Prof.)
THESIS TITLE STUDENT SUPERVISOR & CO-SUPERVISOR
Robust Linear Discriminant Rule using Novel Double Trimming Location Estimation Pang Yik Siong

Dr. Sharipah Soaad Syed Yahaya (Prof.)

Dr. Nor Aishah Ahad
Group Chain Sampling Plans for Selected Distributions Mohd Azri Pawan Teh

Dr. Nazrina Aziz

Dr. Zakiyah Zain
Binary Variable Extraction using Nonlinear Principal Component Analysis in Classical Location Model Long Mei Mei

Dr. Hashibah Hamid

Dr. Nazrina Aziz
Principal Component and Multiple Correspondence Analysis for Handling Mixed Variables in the Smoothed Location Model Penny Ngu Ai Huong

Dr. Hashibah Hamid

Dr. Nazrina Aziz
Robust Linear Discriminant Analysis using Mom-Qn and Wmom-Qn Estimators: Coordinate-Wise Approach Hameedah Naeem Melik

Dr. Nor Aishah Ahad

Dr. Sharipah Soaad Syed Yahaya (Prof.)
Modified Group Chain Sampling Plans for Truncated Life Test based on Selected Lifetime Distribution Aiman Fikri Jamaludin

Dr. Zakiyah Zain

Dr. Nazrina Aziz
Robust Percentile Bootstrap Test With Modified One-Step M-Estimator (Mom) Estimator: An Alternative Modern Statistical Analysis Nurul Hanis Harun Dr. Zahayu Md Yusof
A Robust Approach in Testing and Diagnostic M-statistic Nuraimi Ruslan Dr. Shamshuritawati Sharif
Alexander-Govern Test using Winsorized Means Faridzah Jamaluddin Dr. Suhaida Abdullah
Winsorized Modified One of Step M-estimator in Alexander-Govern Test Tobi Kingsley Ochuko

Dr. Suhaida Abdullah

Dr. Zakiyah Zain
Development and Modification of H-statistic with Winsorized Approach Means Teh Kian Wooi

Dr. Suhaida Abdullah

Dr. Zahayu Md Yusof
Robust Correlation Coefficient based on Robust Scale and Location Estimator Nur Amira Zakaria

Dr. Suhaida Abdullah

Dr. Nor Aishah Ahad
The Robustness of H-statistic with Hinge Estimators as the Location Measures Nur Faraidah Muhammad Di

Dr. Sharipah Soaad Syed Yahaya (Prof.)

Dr. Suhaida Abdullah
H-statistic with Winsorized Modified One-step M-estimator as Central Tendency Measure Ong Gie Xao

Dr. Sharipah Soaad Syed Yahaya (Prof.)

Dr. Suhaida Abdullah
Modification of S1 Statistic with Hodges-Lehmann as the Central Tendency Measure Lee Ping Yin

Dr. Sharipah Soaad Syed Yahaya (Prof.)

Dr. Nor Aishah Ahad
Robust Multiple Pairwise Comparison Procedure for Adaptive Trimmed Mean via P-Method Low Joon Khim Dr. Sharipah Soaad Syed Yahaya (Prof.)