Heriot Watt University UK United Kingdom

BSc (Hons) Statistical Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 4 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon September 2026

Course Overview

The BSc (Hons) Statistical Data Science at Heriot-Watt University UK equips you to navigate the complex world of data, transforming raw information into actionable insights that drive decision-making across diverse industries. This undergraduate degree is ideal for students keen to master the foundational principles and advanced applications of modern statistics, probability, and data analysis. You will develop a robust understanding of statistical modelling, data science techniques, and machine learning, preparing you for a field that is increasingly vital in economics, research, and technological advancement.

This full-time, on-campus programme is studied over four years, offering a progressive curriculum that begins with core mathematics and statistics in Year 1, moving through multivariable calculus, linear algebra, and probability in Year 2, and delving into statistical inference, modelling, and Bayesian statistics in Year 3. Your final year focuses on advanced topics like time series analysis, simulation, statistical computing, and the foundations of machine learning, culminating in a significant dissertation project. You will graduate with highly sought-after skills, ready for careers in data science, analytics, and statistical research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive education in statistical data science, covering foundational mathematical concepts and advanced statistical methodologies. Students will explore calculus, probability, linear algebra, and algorithmic programming, progressing to specialized topics such as statistical modeling, stochastic processes, and Bayesian inference. The curriculum culminates in advanced areas like statistical machine learning and time series analysis, preparing graduates for careers in data-driven fields through rigorous theoretical grounding and practical application.

1 Year 1

Calculus A
Topics in Statistical Practice
Calculus B
Elements of Probability

2 Year 2

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

3 Year 3

Statistical Models A
Further Statistical Methods
Stochastic Processes
Bayesian Inference & Computational Methods
Statistical Models B
Survival Models

4 Year 4

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

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

15% off
First Year Fee Tuition fee
USD 22,258.00 USD 26,298.00
Second Year Fee Tuition fee
USD 26,298.00
Third Year Fee Tuition fee
USD 26,298.00
Fourth Year Fee Tuition fee
USD 26,298.00
Total Program Cost Estimated total tuition
USD 101,154.00 USD 105,194.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 503.00 - USD 2,667.00
Food & Groceries USD 4,833.00 - USD 6,444.00
Transport USD 967.00 - USD 1,128.00
Utilities & Bills USD 2,417.00 - USD 6,847.00
Estimated Total USD 8,217.00 - USD 14,419.00

Living cost estimates are based on Edinburgh Campus.

Outcomes & Employability

What happens after you graduate

84%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Automation & RoboticsAviation Safety & RegulationEnergy Trading & MarketsEnvironmental & Sustainability ServicesHealth, Safety & Environment (HSE)IT Support & Systems AdministrationInsurance & Risk ManagementProduct Design & PrototypingRenewable Energy (Solar & Wind)Satellite Communications

Top Employers Hiring for this course

Accenture

Apple

EY

Leornado

Microsoft

NatWest Group

SLB

Sainsbury's

Why Study BSc (Hons) Statistical Data Science at Heriot Watt University UK

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at Heriot Watt University UK in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about BSc (Hons) Statistical Data Science at Heriot Watt University UK

Can I work while studying?

International students in degree courses can work up to 20 hours per week during term time and full-time during breaks, with no separate work permit required. However, part-time students are not allowed to work.

What English language score do I need for this course?

International students must meet specific English language requirements, such as a TOEFL overall score of 79 or an IELTS overall score of 6. Ensure you achieve the minimum scores in listening, reading, speaking, and writing to qualify.

What jobs can I get after studying this course?

Graduates can pursue careers as Data Analysts, Statisticians, Data Scientists, Business Intelligence Analysts, or Machine Learning Engineers.

What will I actually study in this course?

Statistical Data Science lies at the heart of contemporary data analytics. It transforms data into useful decision-making and helps solve complex problems in a broad range of industries.

Our BSc in Statistical Data Science covers both the theory and practical parts of modern statistics. It provides comprehensive training and hands-on experience in modelling, analysing, and understanding real-world data. This kind of data is crucial in the fields of the economy,

When can I start — what are the intake months?

The BSc (Hons) Statistical Data Science program has an intake month in September. Make sure to prepare your application in advance to secure a spot.
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