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 BSc (Hons) 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

Intakes

January, March & August

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
• 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

Year 2

• 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

Year 3

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

Electives (Choose any 4 in Year 3)

• Research Project
• Analysis of Panel Data
• Bayesian Forecasting
• Applied Nonparametric Statistics
• Regression Analysis for Spatial Data
• Risk Theory
• Categorical Data Analysis
• Advanced Data Analytics
• Survival Analysis
• Discrete Mathematics

Additional MOHE compulsory General Studies subjects

for International Student

• Malay Language for Communication 2
• Malaysian Studies 3

Entry Requirement

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

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

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