Bachelor of Science (Honours) in Industrial Statistics

School of Mathematical Sciences


About The Programme

In an increasingly data-driven world, there is an ever-growing demand for statisticians to analyse, and interpret massive data. From manufacturing, logistics & transportation, to healthcare, business, and governance, graduates with statistical know-how are much sought-after as their sophisticated knowledge can be applied across a variety of industries to assess effectiveness & quality control, optimise resources, monitor & predict trends, and much more.

Sunway University’s Bachelor of Science (Honours) in Industrial Statistics emphasises the importance of credible, reliable and responsible data analysis in identifying patterns and extraction of hidden information. Students learn to use sound, trusted and scientifically proven mathematical & statistical techniques to objectively perform descriptive analytics, predictive analytics, and prescriptive analytics for better decision-making.  This programme equips students with the fundamental, advanced and specialized mathematics and statistics knowledge; key to producing a dynamic, in-demand, and skilled workforce for almost every industry.

This programme enables students to venture into a variety of pathways:

  • Data Scientist pathway
  • Actuarial Analytics pathway
  • Quality Professional pathway
  • Academia pathway

School of Mathematical Sciences



January, April, September



3 Years (full-time)


Career Prospects

  • Chief statistician
  • Statistical data analyst
  • Statistical project consultant
  • Risk data analyst
  • Data scientist
  • Statistical quality control engineer
  • Biostatistician
  • Data analytics expert
  • Healthcare statistician
  • Quantitative analyst
  • Researcher


Programme Structure

  • Calculus
  • Introduction to Probability
  • Linear Algebra & Applications
  • Introduction to Operations Research
  • Elementary Statistics
  • Advanced Calculus
  • English for Mathematical Sciences
  • Fundamentals of Big Data and Knowledge Discovery
  • Programming Principles

  • Mathematical Statistics I
  • Stochastic Processes
  • Mathematical Methods
  • Design of Experiments
  • Communication Skills
  • Regression Analysis
  • Quality Control and Survey Sampling
  • Computer-Intensive Statistical Methods
  • Mathematical Statistics II
  • Community Project

  • Time Series & Forecasting
  • Big Data Technologies
  • Machine Learning Techniques for Data Mining
  • Multivariate Analysis
  • Social and Professional Responsibilities
  • Internship

  • Track 1: Healthcare Analytics
    • Biostatistics
    • Bayesian Forecasting
    • Survival Analysis
  • Track 2: Quantitative Finance and Investment Analytics
    • Financial Mathematics / Statistics
    • Econometrics / Financial Econometrics
  • Track 3: Logistic and Supply Chain Analytics
    • Logistics and Risk Management
    • Operation Research
  • Track 4: Sports, Leisure and Entertainment Analytics
    • Advanced Data Analytics
    • Operation Research
  • General Electives 
    • Simulation and Credibility Theory
    • Risk Theory
    • Research Project
    • Categorical Data Analysis
    • Applied Nonparametric Statistics
    • Analysis of Panel Data


for Local Student
  • Appreciation of Ethics and Civilisation
  • Philosophy and Current Issues
  • Bahasa Kebangsaan A (applicable to students who did not sit for SPM or did not obtain a Credit in SPM Bahasa Melayu)

for International Student
  • Malay Language for Communication 2
  • Appreciation of Ethics and Civilisation

Entry Requirement

Average C+ or CGPA 2.33 (minimum 2 Principals)

* Points are calculated based on grades obtained for 2 or 3 subjects.
Minimum 12 points

Australian Matriculation

Canadian Matriculation

Monash University Foundation Year

Sunway Foundation in Arts
CGPA 2.0

Sunway Foundation in Science Technology
CGPA 2.0

Unified Examination Certificate
Maximum 26 points from 5 subjects (all Grade Bs)

International Baccalaureate
Completed with minimum 25 points (excluding bonus points)

Sunway Diploma*
CAVG 50% or CGPA 2.0
* Students may obtain advanced standing if credit transfer requirements are met.

Other Qualifications
Any other equivalent qualifications. Applicant with no standard qualification will be considered on a case-to-case basis.

Specific Requirements
Credit in English at SPM or equivalent for Industrial Statistics


*Note: For A-Level points calculation
A = 10 points    B = 8 points    C = 6 points    D = 4 points    E = 2 points


English Language Requirements

IELTS or equivalent 6.0
MUET Band 4
SPM English B3 or B+
UEC English B4
O-Level English (1119) Credit
ESL/English Satisfactory level in Pre-University programmes, where the medium of instruction is English