University of Bristol United Kingdom

BSc Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon September 2026

Course Overview

The BSc Data Science at the University of Bristol equips you with the essential mathematical, statistical, and computational skills to extract meaningful insights from complex datasets. In a world increasingly driven by data, this programme prepares you to tackle critical challenges across diverse sectors, from pharmaceuticals and finance to social media and disaster management. You will delve into the core principles of data analysis, probability, and algorithms, developing a robust understanding of how to discover knowledge and inform decision-making. This undergraduate degree is ideal for those with a strong aptitude for quantitative reasoning and a curiosity for uncovering patterns within data.

You will study this programme full-time on campus over three years, engaging with a curriculum that balances theoretical foundations with practical application. Your learning journey will involve core units in areas such as probability and statistics, algorithms, and machine learning, alongside opportunities to explore specialisms like Bayesian modelling or financial mathematics. The syllabus includes practical coding and data analysis units, preparing you for a significant project or dissertation in your final year, where you can apply your skills to a real-world problem. Upon graduation, you will be well-prepared for a variety of roles as a data scientist, analyst, or researcher in industry and academia.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This BSc Data Science program provides a comprehensive foundation in the principles and practices of data science. Students will develop essential skills in probability, statistics, and various programming languages, including C(++) and R, alongside a strong understanding of algorithms and linear models. The curriculum progresses to advanced topics such as machine learning, statistical modeling, and specialized areas like financial mathematics and complex networks, culminating in opportunities for project-based learning and in-depth exploration of data science applications.

1 Year 1 (2025/26 entry cohort)

Probability and statistics Mandatory
Introduction to coding and data analysis for scientists Mandatory
Algorithms and programming in C(++) and R Mandatory
Matrix algebra and linear models Mandatory
Applied analysis A Mandatory
Applied analysis B Mandatory

2 Year 2 (2025/26 entry cohort)

Statistics 2 Mandatory
Probability 2 Mandatory
Perspectives in data science Mandatory
Programming and data analysis for scientists Mandatory
Advanced linear modelling and classification Mandatory
Algorithms and machine learning Mandatory

3 Year 3 (2025/26 entry cohort)

Group project unit Optional
Project 1 Optional
Bayesian modelling Optional
Time series analysis Optional
Theory of inference Optional
Financial risk management Optional
Complex networks Optional
Further topics in probability 3 Optional
Martingale theory with applications 3 Optional
Measure theory and integration Optional
Financial mathematics Optional
Core programming, visualisation and data analysis for scientists Optional
Optimisation Optional
Stochastic optimisation Optional
Statistical machine learning Optional
Information theory Optional

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 42,308.00
Second Year Fee Tuition fee
USD 42,308.00
Third Year Fee Tuition fee
USD 42,308.00
Total Program Cost Estimated total tuition
USD 126,924.00

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

Living Costs

Accommodation
USD 1,285.00 - USD 2,164.00
Food & Groceries USD 1,048.00 - USD 1,402.00
Transport USD 355.00 - USD 693.00
Utilities & Bills USD 10,471.00 - USD 13,967.00
Estimated Total USD 11,874.00 - USD 16,062.00

Living cost estimates are based on Clifton campus.

Outcomes & Employability

What happens after you graduate

95%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Client Services & Account ManagementCustomer Experience & SupportData Science & AnalyticsDigital MarketingInvestment Management & Asset ManagementRegulatory & Government AffairsRoad Transport & LogisticsSoftware Development & EngineeringTelecom Software & SystemsWireless & Mobile Communications

Top Employers Hiring for this course

AON

Accenture

Amazon Web Services

Aviva

Bristol Investment Fund

Deloitte

EY

Google

Why Study BSc Data Science at University of Bristol

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at University of Bristol 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 Data Science at University of Bristol

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. No separate work permit is required.

Is this qualification recognised internationally?

Yes. This course is accredited by The Royal Statistical Society..

What English language score do I need for this course?

To meet the English language requirements, you can take TOEFL, IELTS, or PTE tests. Specific scores are needed in listening, reading, speaking, and writing, with varying thresholds depending on the test.

What jobs can I get after studying this course?

Job titles for graduates include Data Scientist, Data Analyst, Business Intelligence Analyst, Statistician, and Machine Learning Engineer.

What will I actually study in this course?

Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2023).Gain the knowledge and skills to fast-track your career and find solutions to the challenges facing our data-led world. You'll combine mathematical, statistical and computational approaches to discover knowledge from data, preparing you for a diverse range of careers.

When can I start — what are the intake months?

The BSc Data Science program has an intake in September. Make sure to prepare your application in advance to secure your spot.
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