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Master of Science in Statistics Fees Structure, Admission, Intake, Deadline

  Study Mode FULL TIME
  Level POST-GRADUATE
  Duration
  Intake
Intake Deadline
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Overview

Overview of Master of Science in Statistics in University of Malaya (UM) Malaysia

The Institute of Mathematical Sciences, formed in 1998, started off as Department of Mathematics in 1959. Today, it is one of the largest mathematical institutes in Malaysia. The institute aims to:

  • Provide quality education and training in various areas of mathematics;
  • Nurture talent in the mathematical sciences and to produce graduates with problem-solving abilities to meet the challenges of an ever-changing world;
  • Strive for academic excellence via research and the dissemination of knowledge.

The academic staffs of the Institute are engaged in a broad spectrum of mathematical research, ranging from the highly abstract to areas with real-world applications. There is strong collaborations with international institutions such as: University of New South Wales, University of Ljubljana, UC Santa Cruz, Arizona State University, University of Oklahoma, University of Maine, Exeter University, Flinders University, Murdoch University and Northern Territory University, Simon Fraser University, University of Victoria and Jilin University. Apart from being members of several professional organizations, members of the Institute also serve as referees to various international journals

SUBJECTS

At the end of the program, graduates with MSc. Statistics are able to:

  1. Comprehend advanced statistical theory covering statistical and mathematical arguments, proofs and abstract concepts.
  2. Apply technical and practical skills relating to advanced statistics required in different fields.
  3. Perform social responsibility with the skills in statistics.
  4. Practice professionalism and statistical ethics required in different areas such as management and medicine.
  5. Work in a group as a leader in dealing with statistical tasks.
  6. Solve statistical problems with scientific experience and skills.
  7. Use statistics in information management that contributes to lifelong learning.
  8. Practice efficient and effective management and entrepreneurial skills.

Master of Science in Statistics

Session 2017/2018

(42 CREDITS)

1. Program Core Courses (26 CREDITS)

Course Code

Course Name

Credits

SQB7001

Research Methodology for Statistics

3

SQB7002

Research Project for Statistics

10

SQB7003

Statistical Inference

4

SQB7004

Probability Theory

4

SQB7005

Statistical Laboratory

2

SQB7006

Statistical Consultancy and Data Analysis

3

2. Program Elective Courses (16 CREDITS)

Course Code

Course Name

Credits

SQB7007

Multivariate Analysis

4

SQB7008

Stochastic Models

4

SQB7009

Bayesian Statistics

4

SQB7010

Decision Statistics

4

SQB7011

Generalized Linear Models

4

SQB7012

Experimental Design and Quality Engineering

4

SQB7013

Statistical Time Series

4

SQB7014

Risk Theory

4

SQB7015

Stochastic Processes in Finance

4

SQB7016

Computer Intensive Methods

4

SQB7017

Robust Statistics

4

SQB7018

Statistical Methods in Bioinformatics

4

SQB7019

Data Mining

4

SQB7020

Survival Data Analysis

4

SQB7021

Epidemiology Modelling

4

For international students, candidates are required to have TOEFL results at least 550 or IELTS at least  Band 5.5

Minimum Requirements

To be admitted to a Master‘s programme, applicants are required to have a completed and recognized Bachelor’s degree in a relevant discipline and to have obtained a better than average cumulative grade point average (CGPA).

A Bachelor’s Degree (Hons.) or its equivalent in the related field*
*Note
Preference will be given to applicants having a Bachelor’s Degree with CGPA 3.0 and above or its equivalent.
Applicants having a Bachelor’s Degree with CGPA of 3.7 and above can apply directly for the Doctoral of Philosophy (PhD)

 

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