University of Westminster United Kingdom

Data Science and Analytics BSc Honours

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 Data Science and Analytics BSc Honours at the University of Westminster equips you with the essential analytical, technical, and presentation skills to transform vast amounts of data into actionable insights. In today's digitally driven world, the exponential growth of data from social networks and the Internet of Things necessitates sophisticated data processing capabilities and advanced storage technologies like cloud computing. This course is designed for aspiring professionals who can effectively process, interpret, and communicate data, addressing the critical need for such expertise in businesses and government sectors alike, driving evidence-based decision-making and policy improvements.

You will study this programme full-time on campus over four years, including an invaluable placement year designed to provide practical work experience. Your learning journey will involve exploring subjects such as statistical modelling, database design, data engineering, machine learning, and data visualisation, alongside developing a final year project. Through hands-on experience, you will apply cutting-edge techniques to collect, store, prepare, analyse, and visualise data. Upon graduation, you will be prepared for diverse career paths in data science, business analytics, and related fields, ready to make a significant contribution to any organisation.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive education in Data Science and Analytics, covering foundational mathematics, statistics, and database design in the first year. Subsequent years delve into advanced topics such as machine learning, data engineering, business analytics, and big data. The curriculum culminates in a final project, equipping students with the skills to manage the entire data science project lifecycle and apply their knowledge to real-world business challenges.

1 Year 1

Applied Mathematics
Database design and Implementation
Requirements Modelling
Software Development
Statistical Modelling and Analysis

2 Year 2

Business Analytics
Data Engineering
Data Science Project Lifecycle
Data Visualisation and Communication
Machine Learning and Data Mining
Algorithms: Theory, Design and Implementation
Database Systems
Information Technology Security
Object-oriented Programming

3 Placement Year

4 Year 3

Data Science and Analytics Final Project
Data Visualisation and Dashboarding
Operational Research and Optimisation
Applied AI
Big Data Analytics
Customer Relationship and Change Management (CRM & CM) with Business Intelligence
Digital Marketing, Social Media and Web Analytics
Information-Driven Entrepreneurship and Enterprise

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 23,789.00
Second Year Fee Tuition fee
USD 23,789.00
Third Year Fee Tuition fee
USD 23,789.00
Fourth Year Fee Tuition fee
USD 23,789.00
Total Program Cost Estimated total tuition
USD 95,159.00

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

Living Costs

Accommodation
USD 445.00 - USD 1,234.00
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 Cavendish Campus.

Outcomes & Employability

What happens after you graduate

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

Common Graduate Roles

Accounting & AuditingAgricultural Technology & Precision FarmingCommercial AviationFisheries & AquacultureFood Safety & Quality AssuranceFood Science & TechnologyHardware & Semiconductor EngineeringInsurance & Risk ManagementNutrition & DieteticsWealth Management & Financial Advisory

Top Employers Hiring for this course

EY

IFS

Kings College London

Marks & Spencer

National Farmers'​ Union

Sainsbury's

fiverr

Why Study Data Science and Analytics BSc Honours at University of Westminster

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at University of Westminster 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 Data Science and Analytics BSc Honours at University of Westminster

Can I work while studying?

As an international student, you can work up to 20 hours per week during term time for degree courses. Work permissions allow full-time work during breaks without needing a separate permit.

Is this qualification recognised internationally?

Yes. This course is accredited by British Computer Society.

What English language score do I need for this course?

To meet the English language requirements, you can take tests like Duolingo, TOEFL, IELTS, or PTE. Specific scores for each test are needed for admission.

What jobs can I get after studying this course?

Possible job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, Statistical Analyst, and Data Engineer.

What will I actually study in this course?

This course focuses on analytical, technical, and presentation skills necessary for converting data into insights. Key subjects include advanced storage technologies like cloud computing and the application of statistical methods in data science.

When can I start — what are the intake months?

The Data Science and Analytics BSc Honours course begins in September. Ensure you apply before the deadline to secure your place.
ℹ️️
ℹ️️
ℹ️️
 
Account
  • New student?

Search for universities & courses

ℹ️️
ℹ️️
ℹ️️
ℹ️️