4 Years On Campus Bachelors Program
This lively and forward-looking BSc (Hons) in Statistical Data Science at Heriot-Watt University equips students with both the theoretical foundations and hands-on skills to analyze real-world data—from economic trends to environmental insights. It’s perfect for students who love mathematics and statistics and want to apply that passion to industries, research, or cutting-edge data science roles.
Curriculum Structure
Year 1
In your first year, you'll build a solid grounding in mathematical fundamentals. You'll tackle Multivariable Calculus and Real Analysis A & B, Linear Algebra, and launch into Probability and Statistics A & B, giving you the mathematical backbone you need for data science success.
Year 2
In year two, you begin to uncover more specialized statistical techniques. You'll study Stochastic Processes, Statistical Models A & B, Bayesian Inference & Computational Methods, and Survival Models, enabling you to understand randomness, model complexity, and computational tools for advanced data analysis.
Year 3
Your final year is all about applying your skills in sophisticated settings. You’ll dive into Optimization, Time Series Analysis, Statistical Machine Learning, and take on a Statistical Dissertation A & B—choosing from optional areas like Statistical Computing, Risk Theory, or Statistics Special Topics—so you graduate with both expertise and a strong research or project portfolio.
Focus areas
"Mathematical foundations, probability & statistics, stochastic processes, Bayesian methods, machine learning, time series, optimization, dissertation-driven applied research."
Learning outcomes
"By the end of the degree, students will be able to model and interpret complex datasets, apply statistical and computational methods, develop predictive machine learning models, and complete independent applied research projects."
Professional alignment (accreditation)
While this program page doesn’t list a specific professional accreditation, it's housed within Heriot-Watt’s School of Mathematical and Computer Sciences, ensuring a rigorous curriculum that aligns with industry and research standards.
Reputation (employability rankings)
Heriot-Watt’s BSc in Statistical Data Science shines in global subject ranking: the university ranks #151–200 in the QS Subject Rankings for Statistics & Operational Research. Employability is also excellent: for graduates of statistics-related degrees at Heriot-Watt, employment or further study stands at 100% within 15 months, with average earnings around £33,000, rising to £44,500 after five years.
When you join the BSc (Hons) Statistical Data Science at Heriot-Watt University, you're not just studying—you’re stepping into a space where hands-on, real-world learning comes to life. Right from the start, you'll work with real datasets, learn to build statistical models, and interpret meaningful results—all guided by expert faculty and supported by top-tier campus resources. The program balances theory with application, so you’ll graduate more than just book-smart—you’ll be work-ready. Our Edinburgh campus offers cutting-edge learning environments—from comprehensive digital libraries to specialised software and facilities—ensuring what you learn in the classroom connects directly to industry and research.
Here's how that practical, immersive experience breaks down:
Specifically designed experiential learning opportunities include:
Applied training in modelling, data analysis & interpretation
The degree curriculum is built around both theory and applied modern statistics, giving you hands-on training in modelling and interpreting real-world data for industry, research, finance, medicine, and IT.
Advanced coursework in data science & machine learning
In your later years, you’ll explore specialist topics such as statistical modelling, machine learning, probability, and stochastic processes—all offering direct experience with analytical techniques widely used in industry today.
Research opportunities with faculty
The program encourages student involvement in research through coursework and project opportunities, letting you collaborate with faculty on innovative data-driven investigations.
Excellent IT, software, and library resources
Students consistently rate the programme highly on access to learning resources—92 % say IT resources support their learning well, 90 % say library facilities are strong, and 98 % find subject-specific resources (software, collections) easy to access.
Internships and industry readiness
Yes—internships are available as part of the programme, offering you the chance to apply your skills in a professional context and build your CV early.
Strong graduate outcomes
100 % of graduates are working or studying within 15 months of finishing; average earnings around £33,000 by then, rising to £44,500 after five years, reflecting how prepared and in-demand you’ll be professionally.
Graduates of this degree are stepping confidently into careers as skilled data specialists, with most moving into graduate-level roles or further study within 15 months of graduation. Common career paths include data analyst, statistical consultant, machine learning engineer, and roles in business or finance analytics.
Here's how Heriot-Watt supports your future, and what you can expect:
University services supporting your employability
You’ll benefit from Heriot-Watt’s award-winning Careers Service, which supports students lifelong through placements, CV help, interview prep, employer connections, and one-to-one career guidance.
Employment stats & salary figures
100% of statistics graduates are working and/or studying 15 months after completing their degree.
Average starting salary is £33,000 (range: approximately £26,000–£37,500).
Three years into their careers, graduates typically earn £36,000, rising to £44,500 after five years.
University–industry partnerships and engagement
While specific partners aren’t listed for this course, the program’s practical orientation in statistical modelling, machine learning, and real-data analysis implies strong engagement with real-world industry needs and standards—backed up by overall employability excellence at Heriot-Watt.
Long-term accreditation value
Graduates from related courses (e.g., in statistics and mathematical sciences) are on track to meet the educational requirements for becoming a Chartered Mathematician through the Institute of Mathematics and its Applications, provided they follow with the relevant training and experience.
Graduation outcomes
Most graduates (around 80%) land highly skilled roles such as business, finance, IT, or research positions.
The degree is backed by Heriot-Watt’s strong reputation for graduate employability—ranked 2nd in the UK for undergraduate employability and supported by a global alumni network (The Watt Club)
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