BSc (Hons) Statistical Data Science

4 Years On Campus Bachelors Program

Heriot Watt University Edinburgh

Program Overview

This exciting and future-focused degree gives you the tools to understand and shape the world through data. The program blends strong mathematical and statistical theory with hands-on training in modern data science techniques. Whether it’s exploring economic shifts, tracking environmental changes, or uncovering hidden trends in complex datasets, this course is perfect for students who enjoy mathematics and want to see its real-world impact across industries, research, and technology.

Curriculum Structure

Year 1
Your journey begins with a strong mathematical foundation. You’ll study Multivariable Calculus, Real Analysis A & B, and Linear Algebra, while also building your skills in Probability and Statistics A & B. This first year gives you the essential backbone in mathematics and statistics that every data scientist needs.

Year 2
In the second year, you’ll move into more advanced and applied areas of statistics. Modules like Stochastic Processes, Statistical Models A & B, Bayesian Inference & Computational Methods, and Survival Models introduce you to the tools used for understanding uncertainty, making predictions, and analyzing real-world data.

Year 3
The final year is where you bring everything together. You’ll work on advanced topics such as Optimization, Time Series Analysis, and Statistical Machine Learning, while also completing your Statistical Dissertation A & B. Alongside this, you can choose optional subjects like Statistical Computing, Risk Theory, or other specialist topics—allowing you to tailor your degree to your interests and career goals.

Focus Areas

Mathematical foundations
Probability and statistics
Stochastic processes
Bayesian methods
Machine learning
Time series analysis
Optimization
Dissertation-driven applied research

Learning Outcomes

By the time you graduate, you’ll be able to:

Analyze and interpret complex datasets
Apply advanced statistical and computational methods
Build predictive machine learning models
Carry out independent, applied research projects

Professional Alignment

While this degree doesn’t list a specific professional accreditation, it sits within Heriot-Watt’s highly respected School of Mathematical and Computer Sciences. The program is designed to meet the standards of both industry and research, ensuring you graduate with skills that are in demand across multiple sectors.

Reputation and Employability

Heriot-Watt is globally recognized for excellence in statistics, ranking in the world’s top 200 for Statistics & Operational Research (QS Subject Rankings). Graduates of statistics-related degrees at the university enjoy outstanding career outcomes: 100% are in employment or further study within 15 months of graduation, with average salaries of around £33,000—rising to £44,500 after five years.

Experiential Learning (Research, Projects, Internships etc.)

When you join the BSc (Hons) Statistical Data Science at Heriot-Watt University, you’re not just studying—you’re stepping into a degree that brings data to life. From day one, you’ll be working with real datasets, building models, and learning how to turn numbers into insights that actually matter. You’ll be guided by expert lecturers, supported by first-class facilities, and surrounded by a campus environment that keeps you connected to both industry and research.

This programme blends theory with hands-on application, meaning you’ll graduate with more than just knowledge—you’ll have the skills and confidence to step straight into the workplace. At our Edinburgh campus, you’ll have access to modern digital libraries, advanced software, and specialised labs, making sure what you learn in lectures links directly to real-world practice.

Here’s how that practical, immersive learning comes to life:

Applied training in modelling, data analysis, and interpretation
The degree is designed around modern statistics, giving you the chance to work directly with data and apply what you learn to sectors like business, research, finance, medicine, and IT.

Advanced coursework in data science and machine learning
As you progress, you’ll dive deeper into areas like statistical modelling, machine learning, probability, and stochastic processes—skills that are in high demand across today’s industries.

Research opportunities with faculty
You won’t just be learning from the experts—you’ll have the chance to work with them. Through projects and coursework, you can get involved in innovative, data-driven research.

Outstanding resources and facilities
Students regularly highlight the quality of our resources—strong IT support, an extensive library, and easy access to specialist software and collections that make studying seamless.

Internships and industry readiness
Practical experience matters. That’s why internships are available, giving you the opportunity to apply your skills in real workplace settings and boost your CV before you even graduate.

Strong graduate outcomes
Our graduates go on to thrive. Within 15 months of finishing, 100% are in work or further study. Average salaries start at around £33,000, rising to £44,500 after five years—proof that the skills you gain here are valued and in demand.

Progression & Future Opportunities

Graduates of this degree step confidently into careers as skilled data specialists, with the majority securing graduate-level roles or choosing further study within just 15 months of finishing. Typical career paths include data analyst, statistical consultant, machine learning engineer, and positions in business or financial analytics.

University services supporting your employability
At Heriot-Watt, you’ll be supported by the award-winning Careers Service, which is there for you not only during your studies but throughout your career. From helping you secure placements to polishing your CV, preparing for interviews, building connections with employers, and offering tailored one-to-one career guidance—the Careers Service is a strong partner in your professional journey.

Employment stats & salary figures

100% of statistics graduates are working or studying within 15 months of completing their degree.
The average starting salary is around £33,000, typically ranging between £26,000 and £37,500.
Within three years, graduates are earning on average £36,000, with salaries rising to around £44,500 after five years.

University–industry partnerships and engagement
While specific partner organisations aren’t listed for this programme, its strong focus on practical skills—such as statistical modelling, machine learning, and working with real data—ensures you’re developing expertise that aligns directly with industry needs. Heriot-Watt’s wider reputation for employability underlines the strong real-world value of this degree.

Long-term accreditation value
Graduates from related statistical and mathematical sciences courses are well placed to meet the educational requirements for Chartered Mathematician status through the Institute of Mathematics and its Applications, once they complete the necessary professional training and experience. This recognition helps open doors to advanced career opportunities and professional credibility.

Graduation outcomes
Most graduates (around 80%) secure highly skilled roles in areas such as business, finance, IT, or research. The degree is also strengthened by Heriot-Watt’s reputation for employability—ranked 2nd in the UK for undergraduate employability—and the support of its global alumni network, The Watt Club, which connects you to opportunities worldwide.