Course Details

BSc (Hons) in Industrial Statistics

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Description

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.

Field of Study

Mathematics & Statistics

Duration (Years)

3

Course Fees (RM)

RM 73,800 (USD 17,571)

MQA No.

PA9749

Degree Type

Internal Degree
Intake (Month)

March & August

A-Level

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

Maximum 26 points from 5 subjects (all Grade Bs)
SPM/STPM

Average C+ or CGPA 2.33 (minimum 2 Principals)
Matriculation/ Foundation

Australian Matriculation ATAR 60; Canadian Matriculation 60%; Monash University Foundation Year 60%; Sunway Foundation in Arts CGPA 2.3; Sunway Foundation in Science Technology CGPA 2.3
Diploma

Sunway Diploma CAVG 60% or CGPA 2.50 * Students may obtain advanced standing if credit transfer requirements are met.
Others

International Baccalaureate Completed with minimum 25 points (excluding bonus points); Any other equivalent qualifications. Applicant with no standard qualification will be considered on a case-to-case basis.
English Requirements

IELTS or equivalent 6.0; MUET Band 4; SPM English B3 or B+; UEC English B4; Cambridge English (Advanced) Minimum 67; O-Level English (1119) Credit; Sunway Intensive English Programme (IEP) Pass Level 4 with minimum 65%; ESL/English Satisfactory level in Pre-University programmes, where the medium of instruction is English

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
Others

Additional MOHE compulsory General Studies Subjects:

Malay Language for Communication 2

Malaysian Studies 3

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