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BSc (Hons) Statistical Data Science

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Heriot-Watt University Malaysia Campus

BSc (Hons) Statistical Data Science

university icon
Heriot-Watt University Malaysia Campus

BSc (Hons) Statistical Data Science

Qualification
Bachelor's Degree
Duration
3 years
Intake
JanJanSepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
First year from MYR 55,035 excludes 6% SST & other fees
Estimated total tuition from ~MYR 165,105 3 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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The Bachelor of Science in Statistical Data Science equips students with the knowledge and skills to apply statistical methods across a wide range of fields, including economics, medicine, social sciences, and environmental studies. The programme combines theoretical foundations with practical applications to prepare graduates for data-driven careers.

In the first year, students develop a strong foundation in mathematics, probability, and statistics. The following two years focus on advanced mathematical concepts, statistical modelling, and specialised topics in data science, enabling students to build the analytical skills needed to solve real-world problems.

Throughout the programme, students gain hands-on experience in modelling, analysing, and interpreting real-world data using a variety of statistical software packages. These skills prepare graduates for opportunities in industry, research, and other sectors where data analysis and evidence-based decision-making are essential.

Entry Requirement

  • STPM: GPA 3.0 for 3 subjects, including GPA 3.0 in Mathematics
  • UEC: 10 points (including A2 in Mathematics and Advanced Mathematics, A2 in English) from 5 subjects not less than B grade.

For other qualifications and certificates (e.g., UEC, IB Diploma, STAM, etc..) please contact our educational consultants or submit your application for Admission assessment.

Future Careers 

  • Data scientist 
  • Data analyst 
  • Statistical consultant 
  • Business intelligence analyst 
  • Machine learning engineer
  • Data engineer 
  • Market research analyst 
  • Predictive modeler 
  • Data strategist 
  • Research scientist.

Year 1

  • Probability and Statistics A & B
  • Linear Algebra
  • Actuarial and Financial Mathematics A & B
  • Multivariable Calculus and Real Analysis A & B
  • Algorithmic and Scientific Programming

Optional and elective courses available for Year 1 include:

  • Finance and Financial Reporting
  • Database Management Systems

Year 2

  • Stochastic Processes
  • Statistical Models A
  • Statistics for Social Science
  • Survival Models
  • Statistical Models B
  • Bayesian Inference & Computational Methods

Optional courses available for Year 2 may include:

  • Portfolio Theory and Asset Models
  • Derivative Markets and Discrete-time Finance
  • Ordinary Differential Equations
  • Introduction to Interactive Design

Year 3

  • Optimisation
  • Statistics Dissertation A
  • Statistical Machine Learning
  • Time Series
  • Statistics Dissertation B

Optional courses available for Year 3 may include:

  • Artificial Intelligence and Intelligent Agents
  • Big Data Management
  • Continuous-Time Finance
  • Data Assimilation
  • Risk Theory
  • Statistics Special Topic
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