University of Bristol United Kingdom

BSc Data Science with a Year in Industry

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 Data Science with a Year in Industry at the University of Bristol equips you to navigate the complex world of data, where mathematical, statistical, and computational approaches converge to unlock critical insights. As a student in this dynamic undergraduate program, you will delve into the core principles of probability, statistics, and machine learning, learning to analyse vast datasets and build predictive models. This degree is ideal for those seeking to understand and address the profound societal impact of data-driven decision-making, preparing you for a career in a field with exceptionally strong and growing demand.

You will study this programme full-time on campus over four years, including a mandatory industrial placement in your third year. Your learning journey will encompass essential units such as Probability and Statistics, Introduction to Coding and Data Analysis, Algorithms and Machine Learning, and advanced topics like Bayesian Modelling and Statistical Machine Learning. Through hands-on projects, including a significant final-year project, and your practical experience during the paid year in industry, you will develop robust analytical skills and gain invaluable professional insight. You will graduate ready to pursue diverse career paths in data science, analytics, and related technological fields.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This BSc Data Science with a Year in Industry program provides a comprehensive foundation in data science principles and practices. Students will develop skills in probability, statistics, programming, and algorithms, progressing to advanced topics like machine learning and statistical modeling. The curriculum includes a significant industrial placement year, offering practical experience, followed by a final year of specialized study and project work.

1 Year 1 (Level 4 - 2025/26 Entry Cohort) - Certificate of Higher Education (Total: 120 Credit Points)

Probability and Statistics Compulsory
Introduction to Coding and Data Analysis for Scientists Compulsory
Algorithms and Programming in C(++) and R Compulsory
Matrix Algebra and Linear Models Compulsory
Applied Analysis A Compulsory
Applied Analysis B Compulsory

2 Year 2 (Level 5 - Diploma of Higher Education - Total: 120 Credit Points)

Statistics 2 Compulsory
Probability 2 Compulsory
Perspectives in Data Science Compulsory
Programming and Data Analysis for Scientists Compulsory
Advanced Linear Modelling and Classification Compulsory
Algorithms and Machine Learning Compulsory

3 Year 3 (Industrial Placement - Total: 120 Credit Points)

Industrial Placement Compulsory

4 Year 4 (Level 6 - Data Science with Year in Industry (BSc) - Total: 120 Credit Points)

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 34,375.00
Second Year Fee Tuition fee
USD 34,375.00
Third Year Fee Tuition fee
USD 34,375.00
Fourth Year Fee Tuition fee
USD 34,375.00
Total Program Cost Estimated total tuition
USD 137,501.00

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

Broadband & Internet ServicesBrokerage & Trading & SecuritiesClient Services & Account ManagementCreative & ContentCustomer Experience & SupportCybersecurityDigital MarketingPerformance & Growth MarketingQuality Assurance & TestingSatellite Communications

Top Employers Hiring for this course

AON

Accenture

Amazon Web Services

Aviva

Bristol Investment Fund

Deloitte

EY

Google

Why Study BSc Data Science with a Year in Industry 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 with a Year in Industry at University of Bristol

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.

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?

For TOEFL, you need an overall score of 88 with specific listening, reading, speaking, and writing scores. IELTS requires an overall score of 6.5, while PTE demands an overall score of 67.

What jobs can I get after studying this course?

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

What will I actually study in this course?

This program combines mathematical, statistical, and computational methods to explore data and its societal impacts. You'll gain hands-on experience through a paid year in industry, enhancing skills in project management and teamwork.

When can I start — what are the intake months?

The BSc Data Science with a Year in Industry program starts in September. Ensure you meet all application deadlines to secure your place.
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