Bachelor of Science (Honours) in Statistical Data Modelling
Sunway College Johor Bahru · Sunway City, Malaysia
QS World University Ranking: N/A
Quick Overview
Apply Now📘 Program Overview
Sunway University’s Bachelor of Science (Honours) in Statistical Data Modelling is a home-grown 3-year degree programme designed to equip students with the skills to analyse complex data through advanced mathematical and statistical methods and AI-computational tools. This supports data-driven decision-making and generates impactful insights.
The AI-Driven Data Science specialisation track equips students with the skills to leverage AI and advanced data science techniques for analysing large, complex datasets, including designing and implementing machine learning algorithms and building predictive models. The Econometrics specialisation track strengthens statistical and mathematical approaches for analysing economic data, including regression analysis and time series modelling, preparing graduates for in-demand roles such as Data Scientists, AI Analysts, and Econometricians.
🎯 Course & Curriculum
Course structure
- Advanced Calculus, Calculus, Linear Algebra & Applications to build core mathematical foundations for statistical modelling
- Introduction to Probability and Introduction to Operations Research to strengthen modelling thinking and quantitative reasoning
- Programming Principles and AI Foundation and Applications to develop computational thinking for data tasks
- Principles of Economics and Principles of Business Finance to connect statistics to real-world business contexts
- AI-Driven Forecasting and Modelling and Machine Learning Techniques for Data Mining to develop predictive modelling skills
- Computer-Intensive Statistical Methods, Mathematical Statistics I, Design of Experiments, and Quality Control and Survey Sampling to support rigorous statistical practice
- Introductory Econometrics, Essentials of Employability, and Statistical Data Technologies and Fluency to integrate tools with employability skills
- Electives (Free Elective 1) to broaden depth in analytics-related areas
- Applied Econometrics, Multivariate Analysis, and Time Series & Forecasting to deepen advanced econometric and forecasting capabilities
- Second elective choice (Free Elective 2) and an elective list (choose 3) to tailor your learning pathway toward data modelling needs
- Internship to apply your statistical data modelling skills in a professional setting
- Professional pathways through industry-linked learning elements such as Statistical Knowledge Industrial Project (SKIP)
Curriculum
120 credit hours programme structure (Malaysia credit hours).
| Semester | No. of modules | Module / subject category | credit hours | Semester total |
|---|---|---|---|---|
| Year 1 (Semester 1–2) | Core modules (Year 1) plus MOHE compulsory general studies subjects for international students | Advanced Calculus | 6 | 60 |
| AI Foundation and Applications | 3 | |||
| Calculus | 6 | |||
| Data Modelling Essentials | 6 | |||
| Introduction to Operations Research | 6 | |||
| Introduction to Probability | 6 | |||
| Principles of Economics | 3 | |||
| Linear Algebra & Applications | 6 | |||
| Principles of Business Finance | 3 | |||
| Programming Principles | 6 | |||
| Appreciation of Ethics and Civilisation | 3 | |||
| Community Service for Planetary Health | 3 | |||
| Entrepreneurial Mindset & Skills | 3 | |||
| Integrity and Anti-Corruption | 3 | |||
| Malay Language for Communication 2 | 0 | |||
| Year 2 (Semester 3–4) | Core modules (Year 2) plus Free Elective 1 | AI-Driven Forecasting and Modelling | 6 | 48 |
| Computer-Intensive Statistical Methods | 6 | |||
| Design of Experiments | 6 | |||
| Essentials of Employability | 3 | |||
| Introductory Econometrics | 6 | |||
| Mathematical Statistics I | 6 | |||
| Quality Control and Survey Sampling | 6 | |||
| Statistical Data Technologies and Fluency | 6 | |||
| Free Elective 1 | 6 | |||
| Selected Elective (Choose 3 total across Year 2–3) | 0 | |||
| Year 3 (Semester 5–6) | Core modules (Year 3) plus Free Elective 2, Internship, and Elective selection | Applied Econometrics | 6 | 12 |
| Machine Learning Techniques for Data Mining | 6 | |||
| Multivariate Analysis | 6 | |||
| Time Series & Forecasting | 6 | |||
| Free Elective 2 | 6 | |||
| Internship | 12 | |||
| Selected Elective (Choose 3 total across Year 2–3) | 18 | |||
| Total | All programme modules and assessment components across the full 3-year BSc (Hons) in Statistical Data Modelling | 120 credit hours | ||
Career outcomes
- You graduate with data scientist and data analytics expert preparation through AI-driven forecasting and machine learning techniques for data mining.
- You can pursue roles such as Econometrician and Investment/Risk data analyst by studying econometrics, applied econometrics, and time series & forecasting.
- You build job-ready capabilities for SAS programmer and analytics engineering style work through statistics plus AI-computational tools used throughout the programme.
- Your internship experience helps you apply statistical data technologies and fluency in real workplace scenarios, improving readiness for hiring teams.
- You gain industry relevance through structured industry-academia links such as Statistical Knowledge Industrial Project (SKIP) that connects classroom modelling to practical challenges.
- You develop a versatile quantitative profile suitable for audit analytics, fraud investigator, operations research analyst, and quantitative analyst pathways.
Employability rate
Employability rate and unemployment rate figures for graduates of this specific programme in Malaysia are not published on the official Sunway University programme page, so an official percentage cannot be stated.
You should expect a structured pathway into data analytics, econometrics, and AI analytics careers through forecasting, machine learning, econometrics, and a programme internship.
✅ Entry Requirements
Academic qualification
| Requirement | Details |
|---|---|
| School-leaving / pre-university qualification (international) | International applicants are considered with recognised international qualifications such as STPM, A-Level, Australian Matriculation, Canadian Matriculation, Monash University Foundation Year, Sunway Foundation (Arts) or (Science Technology), Unified Examination Certificate, International Baccalaureate, Sunway Diploma, or other equivalent qualifications. The program also requires a mathematics credit at SPM or equivalent. |
| APEL.A and other equivalent pathways (international) | The program states that applicants may be considered with APEL.A (APEL T-6) for Recognition of Prior Learning, and that applicants with no standard qualification may be assessed case-by-case. |
Language requirements
International applicants must meet Sunway University’s published English language requirements for this degree. The program accepts IELTS or equivalent, and it also lists alternative English proofs for applicants who have completed relevant pre-university or English-medium study.
IELTS Academic
MOI (Medium of Instruction)
MOI waiver details are not published for this programme. See the English test requirements above.
💶 Fees & Funding
| Item | Amount | Notes |
|---|---|---|
| Tuition | MYR 37800 / total program | Estimated Annual Course Fee (Year 2026) for international students is RM37,800. |
Proof of financial resources
Important dates
Application window
| Milestone | January - Winter intake | April - Summer intake | September - Winter intake |
|---|---|---|---|
| Application portal opens | September 30, 2025 | January 30, 2026 | May 15, 2026 |
| Application deadline (final submit) | September 30, 2025 | January 30, 2026 | May 15, 2026 |
| Application deadline (EU students) | N/A | N/A | N/A |
| Application deadline (Non-EU students) | N/A | N/A | N/A |
| Recommended apply-by | N/A | N/A | N/A |
| Semester begins | February 02, 2026 | May 04, 2026 | September 28, 2026 |
Pre-application & reviews
| Milestone | January - Winter intake | April - Summer intake | September - Winter intake |
|---|---|---|---|
| VPD request - recommended | N/A | N/A | N/A |
| VPD result expected | N/A | N/A | N/A |
| APS - recommended | N/A | N/A | N/A |
| Start eligibility check | N/A | N/A | N/A |
Document submission deadlines
| Milestone | January - Winter intake | April - Summer intake | September - Winter intake |
|---|---|---|---|
| Application submission deadline | N/A | N/A | N/A |
| Document submission deadline (EU students) | N/A | N/A | N/A |
| Document submission deadline (Non-EU students) | N/A | N/A | N/A |
| Language certificate deadline | N/A | N/A | N/A |
| Official transcripts deadline | N/A | N/A | N/A |
| Certified translations deadline | N/A | N/A | N/A |
| Postal / hard-copy documents deadline | N/A | N/A | N/A |
| Missing documents (if requested) | N/A | N/A | N/A |
📝 How to Apply
Confirm your eligibility using international entry requirements
Review the program’s published international entry requirements, including the mathematics credit requirement at SPM or equivalent and the accepted pre-university qualifications. Check that you also meet the English language requirement (IELTS or equivalent). If your qualification is not listed, the program states that it will be considered on a case-by-case basis.
Prepare your application documents and submit by the intake deadline
Gather your school-leaving certificates and official supporting documents that match the qualification route you are applying with. Submit your application during the published intake window for January, April, or September intakes. Ensure your documents are complete before submission so the university can process your application for the upcoming semester.
Complete the student pass process after acceptance
After you receive an offer, you will need to follow Sunway University’s international student process for student pass requirements. The university provides international office guidance for visa application progress and post-arrival medical screening. Plan ahead for visa processing time so you are ready to arrive for your intake.