Faculty of Science

Programme Coordinator

ASSOCIATE PROFESSOR DR. NG KOK HAUR
Institute of Mathematical Sciences
kokhaur@um.edu.my
603-79674338
https://umexpert.um.edu.my/kokhaur

Introduction

The Master of Science in Statistics is one of the longest running coursework-based postgraduate qualification in statistics in Malaysia. Since 2000, the programme has been producing graduates with desirable skills to compete in the knowledge economy sector, as well as to further their education at the Ph.D. level. The programme aims to enhance and develop sophistication in statistical thinking and applications, thus enabling students to be effective at handling large, complex modern datasets. Our courses balance theory and applications, with emphasis on developing insights from data through appropriate computing and statistical techniques. The programme has a diverse mix of local and international students. This environment provides ample opportunities for students to socialise and enhance their communication soft skills. The Master of Science in Statistics is available in either conventional or remote learning mode.

Programme Learning Outcomes

At the end of the program, graduates of this programme are able to:

1. Demonstrate the ability to apply statistical knowledge critically and analytically to solve complex problems.
2. Apply technical and practical skills related to statistics that are needed in various areas.
3. Communicate statistical concepts and skills clearly using appropriate methods.
4. Use multiple information and technology applications by using suitable graphical and numerical strategies.
5. Competently use multiple statistical tools and appropriate software to solve problems.
6. Work independently and demonstrate leadership qualities and a sense of responsibility in achieving goals and outcomes.
7. Use statistical knowledge in continuous academic and/or professional development for self-advancement.
8. Act professionally and ethically in the course of analysis and decision-making to solve problems.

English Language Entry Requirements

Local applicant must possess MUET Band 4.

International applicant must possess either one of the following:

MUET Band 4
IELTS Band 6.0
PTE Score 42
TOEFL Score 550 (PBT), 213 (CBT) or 80 (iBT)

Exemption from the English Language requirement (only for international applicants):

applicant is from a Country where the National Language is the English Language;
applicant possesses academic qualification from an institution which uses English Language fully as their medium of instruction.

Academic Entry Requirement

Bachelor’s degree with a CGPA not less than 3.00; or
Bachelor’s degree with a CGPA between 2.70 to 2.99 and fulfil at least one (1) criteria*; or
Bachelor's degree with a CGPA of 2.50 to 2.69 and fulfil at least one (1) criteria* (for UM graduate applicant) or two (2) criteria* (for non UM graduate applicant); or
Bachelor's degree with a CGPA of 2.00 to 2.49 and meets at least one (1) of the following criteria* (for UM graduate applicant) or two (2) criteria* (for non UM graduate applicant); or
other qualification approved by Senate from time to time

* Criteria:

graduate of University of Malaya;
Has at least one (1) year of working experience in the related field;
has produced publications in the related fields;
is a scholarship recipient;
a government agency staff;
passed the interview conducted by the Faculty; or
passed the special assessment by the Faculty.

List of Bachelor’s degrees that are acceptable:

Bachelor of Science in Statistics
Bachelor of Science in Applied Statistics
Bachelor of Science in Mathematics
Bachelor of Science in Applied Mathematics
Bachelor of Actuarial Science
Bachelor of Science in Operations Research
Bachelor of Science in Data Science
Bachelor of Science in Economics
Bachelor of Science in Computer Science

Study Plan

SEMESTER I
Course Code	Course Name	Course Type	Credit
SQB7022	Research Methodology for Statistics	Core	3
SQB7023	Research Project in Statistics (P1)	Core	5
SQB7025	Probability Theory	Core	4
SQB7026	Statistical Laboratory	Core	3
SQB7028	Multivariate Analysis	Elective	3
SQB7032	Experimental Design and Quality Engineering	Elective	3
SQB7033	Statistical Time Series	Elective	3
SQB7035	Robust Statistics	Elective	3
SQB7036	Data Mining	Elective	3
NOTE: Choose 2 elective courses only

SEMESTER II
Course Code	Course Name	Type	Credit
SQB7023	Research Project in Statistics	Core	5
SQB7024	Statistical Inference	Core	4
SQB7027	Statistical Consultancy and Data Analysis	Core	3
SQB7029	Stochastic Models	Elective	3
SQB7030	Bayesian Statistics	Elective	3
SQB7031	Generalized Linear Models	Elective	3
SQB7034	Computer Intensive Methods	Elective	3
SQB7037	Survival Analysis	Elective	3
NOTE: Choose 3 elective courses only

Indicative Fees

Conventional mode:
Local candidate: RM 11,800
International candidate: RM 26,500

Remote learning mode:
Local candidate: RM 14,576
International candidate: RM 26,202

Application

Conventional mode:
Please visit https://study.um.edu.my/how-to-apply-master-rsquo-s-degree

Remote learning mode:
Please visit https://umcced.edu.my/programme/rl/mosis