BSc ( Hons ) in Industrial Statistics by Sunway University

Sunway University

Bandar Sunway, Selangor

Sunway University BSc (Hons) in Industrial Statistics is a home-grown 3-year degree programme designed to equip 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 emphasises the importance of credible, reliable and responsible data analysis in identifying patterns and extraction of hidden information using sound, trusted and scientifically proven mathematical & statistical techniques to enable our graduates to objectively perform descriptive analytics, predictive analytics, and prescriptive analytics for better decision making.

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入学期

Jan, Mar, Aug

总学费 (预计)

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课程为期

3 years

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入学要求

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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

课程科目

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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
Categorical Data Analysis
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
Big Data Technologies
Advanced Data Analytics

Additional MOHE compulsory General Studies subjects

for Local Student

Islamic and Asian Civilisations
Ethnic Relations
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