Heriot Watt University UK United Kingdom

Statistical Data Science, BSc (Hons)

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 Statistical Data Science, BSc (Hons) at Heriot Watt University UK is designed for aspiring professionals eager to harness the power of data analytics and statistical modelling to solve complex problems across diverse sectors. You will explore the theoretical underpinnings and practical applications of modern statistics, developing essential skills in data analysis, interpretation, and predictive modelling. This programme is ideal for students passionate about transforming raw data into actionable intelligence, preparing you for a dynamic career in fields ranging from finance and healthcare to environmental science and beyond.

This full-time, on-campus degree is structured over four years, providing a comprehensive learning experience that progresses from foundational mathematics, computing, and probability in the initial stages to advanced topics like statistical models, machine learning, and big data management in later years. You will engage with real-world datasets, undertake a significant dissertation project in your final year, and benefit from a curriculum that emphasizes both rigorous academic study and practical application. You will graduate with a Bachelor of Science (Honours) degree, equipped for roles in data science, statistical analysis, and quantitative research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This BSc (Hons) in Statistical Data Science provides a comprehensive foundation in statistical theory and practice. You will explore core mathematical concepts such as calculus, linear algebra, and real analysis, alongside essential statistical topics including probability, statistical models, and stochastic processes. The curriculum also delves into practical data science skills, covering algorithmic programming, data science life cycles, and machine learning, culminating in a dissertation project.

1 Mandatory September

Calculus A
Topics in Statistical Practice

2 Optional September

Logic and Proof
Software Development 1

3 Mandatory January

Calculus B
Elements of Probability
Becoming a Professional

4 Optional January

Discrete Mathematics
Software Development 2

5 Mandatory September

Real Analysis
Linear Algebra
Algorithmic and Scientific Programming
Probability and Statistics A

6 Mandatory January

Multivariable Calculus
Data Science Life Cycle
Actuarial and Financial Mathematics
Probability and Statistics B

7 Mandatory September

Statistical Models A
Further Statistical Methods
Stochastic Processes

8 Optional September

Artificial Intelligence and Intelligent Agents
Introduction to Interaction Design

9 Mandatory January

Bayesian Inference & Computational Methods
Statistical Models B

10 Optional January

Ordinary Differential Equations
Database Management Systems
Survival Models

11 Mandatory September

Time Series and Machine Learning
Statistics Dissertation A

12 Optional September

Data Assimilation
Optimisation

13 Mandatory January

Statistics Dissertation B

14 Optional January

Big Data Management
Data Visualisation and Analytics
Statistics Special Topic
Advanced Machine Learning

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

12% off
First Year Fee Tuition fee
USD 30,844.00 USD 34,884.00
Second Year Fee Tuition fee
USD 34,884.00
Third Year Fee Tuition fee
USD 34,884.00
Fourth Year Fee Tuition fee
USD 34,884.00
Total Program Cost Estimated total tuition
USD 135,498.00 USD 139,538.00

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

Alternative Aviation Fuel & SustainabilityAutomation & RoboticsBanking & Financial ServicesBlockchain & Emerging TechnologiesCybersecurity & Network SecurityEnergy Engineering & InfrastructureEnergy Storage & TechnologyNutrition & DieteticsOil & Gas Exploration & ProductionRegulatory & Government Affairs

Top Employers Hiring for this course

Accenture

Apple

EY

Leornado

Microsoft

NatWest Group

SLB

Sainsbury's

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

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. No separate work permit is needed for degree-level students.

What English language score do I need for this course?

To apply, you must meet the English language requirements which include TOEFL scores of 19 in listening and reading, an overall score of 78, or equivalent scores in IELTS or PTE. Check these specific scores to ensure your eligibility.

What jobs can I get after studying this course?

Graduates may pursue career paths in data science, statistical analysis, quantitative research, data analytics, and machine learning.

What will I actually study in this course?

The Statistical Data Science, BSc (Hons) at Heriot Watt University UK is designed for aspiring professionals eager to harness the power of data analytics and statistical modelling to solve complex problems across diverse sectors. You will explore the theoretical underpinnings and practical applications of modern statistics, developing essential skills in data analysis, interpretation, and predictive modelling. This programme is ideal for students passionate about transforming raw data into

When can I start — what are the intake months?

The intake month for the Statistical Data Science, BSc (Hons) program is September. Ensure your application is submitted before this month to secure your place.
ℹ️️
ℹ️️
ℹ️️
 
Account
  • New student?

Search for universities & courses

ℹ️️
ℹ️️
ℹ️️
ℹ️️