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 can use their new specialized capabilities to contribute to the body of knowledge for the benefit of mankind. In SQS, we offer three Master of Science (by Research) programmes:

M.Sc. in Decision Science

M.Sc. in Mathematics

M.Sc. in Statistics

The programme educational objectives (PEO) for all three programmes are as follows:

PEO 1

Graduates exhibit advanced expertise in quantitative, qualitative, and scientific knowledge, along with strong analytical skills for problem-solving.

PEO 2

Graduates effectively apply their digital and numeracy skills in implementing proposed solutions.

PEO 3

Graduates demonstrate interpersonal, leadership, and communication skills to fulfil industry needs. 

PEO 4

Graduates with ethics and professional decision-making, complemented by strong entrepreneurial skills.

 

The program learning outcomes (PLO) for MSc in Decision Science (by Research) are as follows:

PLO Statement

PLO 1: Apply basic and advanced knowledge of operational research/decision science and digital technology. 

PLO 2: Use advanced quantitative techniques as well as qualitative approaches, modelling skills and other contemporary decision-making tools for industries, public institutions and society.  

PLO 3: Design, model and solve real world, hypothetical and complex problems, and thus able to analyse and interpret data using appropriate computer tools. 

PLO 6: Use various digital technologies to design, analyze and evaluate data creatively in various situations.  

PLO 7: Demonstrate the skills to design, analyze and evaluate data using various methods in solving complex real-world problems.  

PLO 4: Evaluate and synthesize organizational issues effectively orally, in writing, graphically and digitally towards suggesting potential solutions in the broader context of industries, public institutions and society. 

PLO 5: Communicate effectively in translating the information verbally and in writing to a diversity of audiences.  

PLO 8: Practice excellent leadership and accountability, and exercising management and decision-making skills when conducting projects or research. 

PLO 9: Participate in lifelong learning, career advancement activities, and keep up to date with knowledge of emerging technologies. 

PLO 10: Combine appropriate tangible and intangible entrepreneurial skills for decision making process, in the form of written, oral and digital media in related projects or research. 

PLO 11: Carry out professional and ethical responsibilities in any environment.

The program learning outcomes (PLO) for MSc in Mathematics (by Research) and MSc in Statistics (by Research) are as follows:

PLO 1

Exhibit continued enhancement of knowledge and be able to apply theories and models related to the relevant areas of study. 

PLO 2

Synthesise knowledge to enhance the ability to make decision and solve problems creatively in various situations relevant to the areas of study. 

PLO 3

Exhibit high values and ethics in conducting the studies. 

PLO 4

Able to work independently. 

PLO 5

Communicate with experts and peers in the designated areas to spearhead advanced knowledge in research 

PLO 6

Be able to consolidate knowledge and manage information for lifelong learning 

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.

*Please refer HEA UUM

COMPLETED THESES

Title: SUSTAINABLE FOOD WASTE MANAGEMENT USING MODIFIED FUZZY IMPROVED ANALYTIC HIERARCHY PROCESS: A CASE STUDY IN MALAYSIA

Student Name: CHOO CHUN YUAN

Supervisor: Assoc. Prof. Dr. Syariza Binti Abdul Rahman and Dr. Abdul Malek bin Yaakob

 

Title: INTEGRATING DISCRETE EVENT SIMULATION AND DATA ENVELOPMENT ANALYSIS FOR PERFORMANCE MEASUREMENT AND EFFICENCY EVALUATION OF RESOURCE CONFIGURATIONS IN AN OUTPATIENT CLINIC

Student Name: MOHAMAD AMIRRUL MUQMIN BIN MOHAMAD ISA

Supervisor: Associate Prof. Dr. Ruzelan Khalid and Associate Prof. Dr. Mohd Kamal Mohd Nawawi

 

Title: DEVELOPMENT OF FACEBOOK PERFORMANCE INDEX IN MALAYSIA HIGHER EDUCATION INSTITUTIONS USING CRITIC-TOPSIS APPROACH

Student Name: NUR ELEESA MUHAMMAD FARESH SHAH SURESH

Supervisor: Dr. Norhayati Yusof and Dr. Fazillah Mohmad Kamal

 

Title: CLASSIFICATION OF THE EFFECTIVENESS OF ICT INTEGRATION IN TEACHING AND LEARNING USING DATA MINING BASED ON AHP METHODS

Student Name: TEOH SIEW CHIN

Supervisor: Dr. Ch’ng Chee Keong and Assoc. Prof. Dr. Nerda Zura Binti Zaibidi