Science
BSc (Hons) Statistical Data Science
Learning Mode
Full Time
Duration
3 Years
Start date
September
Qualification
BSc (Hons) in Statistical Data Science
Fees
Malaysian: RM 37,500/year (approx.)
International: RM 43,920/year (approx.)
Location
Heriot-Watt University, Putrajaya Campus, Malaysia
About the Course
The BSc (Hons) Statistical Data Science at Heriot-Watt University Malaysia is an interdisciplinary programme designed to equip students with the skills to analyse, model, and interpret complex data sets in a data-driven world.
Grounded in mathematics, statistics, and computing, the course provides a comprehensive understanding of data science fundamentals — including data visualisation, machine learning, statistical modelling, and algorithm development. Graduates are empowered to solve real-world problems across industries such as finance, health, logistics, and technology.
Delivered by one of the UK’s top-rated departments for actuarial mathematics and statistics, this degree prepares you for a future where data drives decision-making.
Why choose Statistical Data Science at Heriot-Watt?
Industry connected
Students engage in real-world projects, internships, and guest talks from leaders in data-driven industries.
Global opportunities
Heriot-Watt’s global reputation opens doors to careers and further study in data science worldwide.
Professional accreditation
Aligned with UK and global standards, the programme follows best practices in statistics and computing.
Course Overview
Statistical Data Science is about making sense of data to enable smarter decisions. This programme provides a balance of statistical theory, computational tools, and hands-on problem-solving.
You will gain expertise in working with large and unstructured datasets, develop algorithms for prediction and classification, and learn to present insights effectively. This is a practical degree with a strong foundation in mathematics and a clear industry focus.
Course Duration
The programme is delivered over 3 years full-time, divided into six semesters of coursework. Students learn through a mix of lectures, lab sessions, collaborative projects, and data challenges.
Course Curriculum
Year 1
- Calculus
- Algebra
- Introduction to Programming
- Statistical Theory
- Probability & Distributions
- Professional Development in Data Science
- Academic Skills
Year 2
- Statistical Modelling
- Applied Machine Learning
- Computational Statistics
- Data Visualisation & Communication
- Database Management
- Multivariate Analysis
- Industrial Problem Solving
Year 3
- Advanced Statistical Learning
- Bayesian Inference
- Big Data Technologies
- Time Series & Forecasting
- Capstone Project in Data Science
- Ethics in AI & Data Analytics
The final year culminates in a major project, giving students the opportunity to solve a real-world data problem in partnership with an industry or research organisation.
Admission Requirements
- A-Level: ABB including Mathematics
- STPM: ABB with Mathematics
- UEC: 5 Bs including Mathematics
- IB Diploma: 30 points (including HL Mathematics)
- Foundation in Science, Computing, or Math with strong performance in Mathematics
English Language Requirements:
- IELTS 6.0 (no component below 5.5) or equivalent
Applicants should have a strong aptitude for quantitative reasoning and interest in analytics or data-driven technologies.
Fees and Funding
Tuition Fees (Per Year):
- Malaysian Students: RM 37,500
- International Students: RM 43,920
Funding & Support:
- Merit-based scholarships
- Study grants for high achievers
- Transfer options to UK or Dubai campuses
- PTPTN loan support (Malaysians only)
Career Opportunities
Graduates are in high demand for roles such as:
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Quantitative Analyst
- Data Engineer
- Statistical Programmer
- AI Developer
- Research Analyst
Heriot-Watt graduates are sought after by employers such as PwC, Shopee, Accenture, Grab, IBM, and government agencies across Southeast Asia and the UK.
Contact Us
Reach out for any inquiries or assistance needed.
