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BSc (Hons) in Industrial Statistics
About
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.
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 3 years |
| Intakes | January, April, September |
| Tuition (Local students) | $ 23,064 |
| Tuition (Foreign students) | $ 24,393 |
Subjects
-
Actuarial Science
-
Mathematics
Duration
3 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 23,064 | $ 24,393 |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | $ 23,064 | $ 24,393 |
| Estimated cost per year | $ 7,688 | $ 8,131 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
| Enrolment Fee | $ 156 |
| Deposit (refundable) | $ 156-$ 223 |
Foreign students
| Description | Amount |
|---|---|
| Enrolment Fee | $ 156 |
| Deposit (refundable) | $ 156-$ 223 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
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
- 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 Requirements
- IELTS 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
Curriculum
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
Year 3
- Time Series & Forecasting
- Categorical Data Analysis
- Machine Learning Techniques for Data Mining
- Multivariate Analysis
- Social and Professional Responsibilities
- Community Project
- 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