BSc (Hons) Statistical Data Science
Heriot-Watt University Malaysia · Putrajaya, Malaysia
QS World University Ranking: N/A
Quick Overview
Apply Now📘 Program Overview
The applications of statistical data science range from economics and medicine, to social and environmental sciences. Heriot-Watt University Malaysia’s BSc (Hons) Statistical Data Science provides a blend of theoretical and applied statistics, training you to model, analyse, and interpret real data used in the economy, industry, and research.
In the first year, you study basic mathematics, probability, and statistics. The final two years focus on specialist topics in statistical modelling and advanced mathematics and data science, using a variety of statistical computer packages.
🎯 Course & Curriculum
Course structure
- Real Analysis
- Linear Algebra
- Algorithmic and Scientific Programming
- Probability and Statistics A
- Probability and Statistics B
- Data Science Life Cycle
- Multivariable Calculus
- Actuarial and Financial Mathematics
- Real Analysis (programme progression)
- Mandatory analytical mathematics sequence (programme progression)
- Data Science Life Cycle (programme progression)
- Optional units may include National Language A (MPU 3212)
- Optional units may include Malay Language Communication 2 (MPU 3143)
- Optional units may include Philosophy and Current Issues
Curriculum
Heriot-Watt University Malaysia BSc (Hons) Statistical Data Science is delivered full-time with 4 courses per semester; each course is 15 SCQF credits and programme progression uses course credits within the programme structure. Credit hours values are not published in the official Malaysia programme handbook table extracts available for this programme.
| Semester | No. of modules | Module / subject category | credit hours | Semester total |
|---|---|---|---|---|
| Semester 1 | Statistical Data Science (SDS) courses required | Probability and Statistics A | ||
| Actuarial and Financial Mathematics A | ||||
| Multivariable Calculus & Real Analysis A | ||||
| Linear Algebra | ||||
| Semester 2 | Statistical Data Science (SDS) courses required | Probability and Statistics B | ||
| Actuarial and Financial Mathematics B | ||||
| Algorithmic and Scientific Programming | ||||
| Multivariable Calculus & Real Analysis B | ||||
| Finance and Financial Reporting | ||||
| Semester 3 | Statistical Data Science (SDS) courses required | Statistical Models A | ||
| Stochastic Processes | ||||
| Statistics for Social Science | ||||
| Life Insurance Mathematics A | ||||
| Portfolio Theory & Asset Models | ||||
| Semester 4 | Statistical Data Science (SDS) courses required | Statistical Models B | ||
| Bayesian Inference & Computational Methods | ||||
| Survival Models | ||||
| Life Insurance Mathematics B | ||||
| Derivative Markets & Discrete-time Finance | ||||
| Ordinary Differential Equations | ||||
| Total | Programme structure table extracted from available official handbook material; credit hours totals are not published in the extracted credit-hours column for Malaysia. | |||
Career outcomes
- You build strong foundations in statistics and mathematical modelling, helping you qualify for roles such as Data Analyst and Quantitative Analyst.
- You develop the ability to model, analyse, and interpret real data, positioning you for job-ready careers as a Data Scientist or Statistician.
- You gain skills directly relevant to industry needs across business, insurance, financial consulting, market research, and government agencies.
- You are prepared for modern analytics teams working on AI/ML applications, supporting career paths such as AI/ML/Deep Learning Engineer and Business Intelligence Analyst.
- Your degree is accredited by the Royal Statistical Society, supporting credibility for employer-facing roles that value statistical training and judgement.
- Because statistical modelling is relevant across many sectors, you can broaden your options into research and scientific areas that use quantitative methods.
Employability rate
For statistics and data analytics graduates from this kind of bachelor pathway in Malaysia, a typical employability outcome is about 78% and an unemployment outcome of about 22%, reflecting strong demand but a competitive entry market for junior roles.
Together, these figures indicate you can expect a reasonably stable early-career outlook when you graduate with practical statistical modelling and data skills.
✅ Entry Requirements
Academic qualification
| Requirement | Details |
|---|---|
| School-leaving qualifications | International applicants need a recognised school-leaving qualification that meets Heriot-Watt’s standard entry requirements for undergraduate study in Malaysia. The programme page states entry requirements differ based on your background, and lists accepted routes including foundation pathways and international qualifications (such as A-Level and other listed qualifications). |
| Foundation or equivalent route (where applicable) | If you are applying with a relevant foundation programme route, the programme page states the entry requirements for that foundation path (including stated mathematics and English components) and indicates minimum CGPA for the foundation route where published. |
Module matching by study area
| Study area | Match possible? | Conditions |
|---|---|---|
| Statistics and data analysis background | Direct match | Plain text if published on official page |
Language requirements
For international applicants to Heriot-Watt University Malaysia, you must provide proof of English language proficiency accepted by the University for undergraduate study on this campus.
IELTS Academic
TOEFL iBT
PTE 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 55035.2 / total program | International tuition fee: RM 55,035.20 for BSc (Hons) Statistical Data Science. |
Proof of financial resources
International applicants must show they can fund their studies and living costs in Malaysia as required by the student pass and visa processes. Prepare official financial documents if requested during the application and student pass stages.
- Proof of available funds as required for international applicants for student pass/visa processing
- Any additional financial documents requested by the University during application review or student pass processing
Important dates
Application window
| Milestone | October - Winter intake | April - Summer intake |
|---|---|---|
| Application portal opens | January 01, 2026 | January 01, 2026 |
| Application deadline (final submit) | July 24, 2026 | March 31, 2026 |
| Application deadline (EU students) | N/A | N/A |
| Application deadline (Non-EU students) | N/A | N/A |
| Recommended apply-by | N/A | N/A |
| Semester begins | October 01, 2026 | April 01, 2026 |
Pre-application & reviews
| Milestone | October - Winter intake | April - Summer intake |
|---|---|---|
| VPD request - recommended | N/A | N/A |
| VPD result expected | N/A | N/A |
| APS - recommended | N/A | N/A |
| Start eligibility check | N/A | N/A |
Document submission deadlines
| Milestone | October - Winter intake | April - Summer intake |
|---|---|---|
| Application submission deadline | N/A | N/A |
| Document submission deadline (EU students) | N/A | N/A |
| Document submission deadline (Non-EU students) | N/A | N/A |
| Language certificate deadline | N/A | N/A |
| Official transcripts deadline | N/A | N/A |
| Certified translations deadline | N/A | N/A |
| Postal / hard-copy documents deadline | N/A | N/A |
| Missing documents (if requested) | N/A | N/A |
📝 How to Apply
Choose the correct entry route and gather documents
Check the programme’s published entry requirements and confirm your school-leaving qualification or foundation route meets the standard entry requirements for international applicants. Collect your academic transcripts/certificates and your English language proof before you start the application.
Submit your online application
Complete the University’s official application form and submit it within the published deadline for the intake you want. Upload the required supporting documents during the application process, including your English language proof and certified academic documents as requested. Pay the application processing fee required for each submitted application form (as published for undergraduate applications).
Respond to requests during admissions review
After submission, the University’s Admissions Team reviews your full application and supporting documents to make a decision. Monitor your account for any follow-up requests and submit any requested documents promptly. If your qualification details need clarification, provide the required documents within the stated timelines.