Bachelor of Science (Honours) in Industrial Statistics

Overview

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

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Fact Sheet

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

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

 

Intakes
January, April, September
Duration
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

Year 1

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

Year 2

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

Year 3

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

Electives (Choose any 4 in Year 3)

Advanced Data Analytics
Analysis of Panel Data
Applied Nonparametric Statistics
Bayesian Forecasting
Categorical Data Analysis
Regression Analysis for Spatial Data
Risk Theory
Simulation and Credibility Theory
Survival Analysis
Survival Model

Additional MOHE compulsory General Studies subjects

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
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Student studying

Entry Requirements

STPM

Average C+ or CGPA 2.33 (minimum 2 Principals)

A-Level*

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

Note: For A-Level points calculation

A = 10 points

B = 8 points

C = 6 points

D = 4 points

E = 2 points

Australian Matriculation

ATAR 60

Australian Matriculation

ATAR 60

Canadian Matriculation

60%

Monash University Foundation Year

60%

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

Scholarships and Financial Aid

For more information about the scholarships and financial aid, please visit the SEG Scholarships website.

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