Undergraduate

BSc (Hons) Data Science and Artificial Intelligence

Studying Data Science and AI opens up a world of opportunities in one of the fastest-growing and most in-demand fields globally.

Undergraduate

BSc (Hons) Data Science and Artificial Intelligence

Studying Data Science and AI opens up a world of opportunities in one of the fastest-growing and most in-demand fields globally.

Award

- CertHE
- DipHE
- BSc
- BSc (Hons)

Duration

Three years

Study mode

Full-time

Tuition fees

UK Fees: £9,790

International and EU Fees: £16,275

Starting dates

September, January, May

School

School of Computing, Engineering and Physical Sciences

Award

- CertHE
- DipHE
- BSc
- BSc (Hons)

Duration

Three years

Study mode

Full-time

Tuition fees

UK Fees: £9,790

International and EU Fees: £16,275

Starting dates

September, January, May

School

School of Computing, Engineering and Physical Sciences

Introduction

Course overview

Data is transforming the way organisations make decisions, solve problems and develop new technologies. The BSc (Hons) Data Science and Artificial Intelligence prepares you to develop the technical, analytical and problem-solving skills needed to work with data and intelligent systems across a range of industries.

You’ll build a foundation in programming, mathematics, databases and software engineering before progressing to specialist areas including machine learning, data engineering, artificial intelligence, big data and cloud computing. Throughout the course, you’ll apply your learning to practical projects that reflect real-world challenges while developing an understanding of the ethical and professional responsibilities involved in working with data.

During the course, you’ll:

Develop programming, software development and database management skills
Learn how to collect, analyse and interpret data to support decision-making
Explore artificial intelligence, machine learning and data engineering
Gain experience with cloud computing, big data technologies and data visualisation
Develop problem-solving, analytical and research skills through practical projects
Build communication, teamwork and professional skills for the workplace

The course also helps you develop transferable skills including communication, teamwork, critical thinking, research and digital skills. These skills can support careers across a range of industries or progression to postgraduate study.

Programme Information

Course structure

To achieve a BSc (Hons) Data Science and Artificial Intelligence, you’ll study 480 credits over four years, including core modules, optional modules and an honours project.

Course modules

Level 7

Introduction to Programming 20 credits
Introduction to Software Engineering 20 credits
Database Systems 20 credits
Applied Mathematics 20 credits
Analysis of Data 20 credits
ASPIRE 20 credits

Level 8

Intermediate Programming 20 credits
Introduction to Network and Cloud Computing 20 credits
Software Engineering Practice 20 credits
Data Structures and Algorithms 20 credits
ASPIRE 2 20 credits
Probability and Statistics 20 credits

Level 9

Research Methods in Computing 10 credits
Professional Computing Practice 10 credits
DevOps 20 credits
Mathematics for Data Science 20 credits
Fundamentals of Data Science 20 credits
Data Visualisation 20 credits

Optional Modules

Algorithms and Collections 20 credits
Cloud Services and Architectures 20 credits
Statistical Estimation and Inference 20 credits

Level 10

Computing Honours Project 40 credits
Data Engineering 20 credits
Artificial Intelligence Applications 20 credits
Big Data 20 credits

Optional Modules

Advanced Machine Learning 20 credits
Decision Support Systems 20 credits

Teaching and assessment

Teaching

You’ll learn through a combination of lectures, tutorials, workshops, laboratory sessions and independent study
Throughout the course you’ll apply your learning through practical exercises and projects that reflect real-world data science and artificial intelligence challenges

Teaching is supported through the University’s virtual learning environment, where you’ll have access to learning materials, resources and assessment guidance.

Assessment

Assessment varies between modules and may include:

Practical programming assignments
Software development projects
Data analysis projects
Coursework
Written reports
Presentations
Examinations
Your honours project

Admissions

Entry requirements

Academic entry requirements

Year 1:

Standard entry

You should normally have:

90 UCAS Tariff points, including Mathematics, Applications of Mathematics or Computing

Examples of accepted qualifications include:

Scottish Highers: BCCC
A Levels: CCD, including Mathematics or Computing (with Mathematics or Computing also required at GCSE level)

Other qualifications

We also welcome applications from candidates with equivalent academic, vocational or professional qualifications.
If your qualification is not listed, please contact an Admissions adviser for guidance on your eligibility to apply.

Year 2:

Scottish Advanced Highers:

CCD (112 UCAS Tariff points) including Computing or Maths

A Levels:

BBC (112 UCAS Tariff points) including Computing or Maths

T Level:

Full T Level with Grade M in relevant subject (120 Tariff points)

International Baccalaureate:

28 points including Computing or Maths

SQA HNC/BTEC Level 4 HNC:

Computing (including Computer Programming); Computing Science; Software Development

Year 3:

SQA HND/BTEC Level 5 HND / DipHE:

Computing (including Computer Programming); Computing Science; Software Development

English language requirements

If English is not your first language, you'll need to demonstrate your English language proficiency. The qualifications below must have been gained within two years of the start of your course.

General English language requirements at UWS: International English Language Testing System (IELTS) Academic module (not General Training):

Overall score of 6.0
No component below 5.5

Common equivalent English language qualifications:

All stated English tests are acceptable for admission for both home/EU and international students for this programme:

CAE (Cambridge Certificate of Advanced English): 176 overall; no component below 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no component below 169
Trinity College London Integrated Skills in English: ISE II with a Pass in all components
Pearson PTE Academic: An overall score of 59 to 64 with no component below 59
TOEFL iBT: 78; no component below 17 (Reading: 17; Listening: 17; Speaking: 17; Writing: 17)
Skills for English (SELT): Overall score of 6.0, with a minimum of 5.5 in all skills.

For applicants from certain countries who do not meet the minimum English language requirements outlined above, there may be an option to apply for an online pre-sessional English language programme.

For detailed information on English language entry requirements for international students, including accepted alternative qualifications and possible exemptions, please visit our English language requirements page.

Tuition Fees and Scholarships

Fees and funding

UK Students

£9,790

per year (2026/27)

Student loans and payment plans available

International and EU

£16,275

per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.

Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
No early payment discount will apply. For further information, please contact an Admissions adviser.

What could my future career look like?

Career prospects

Data science and artificial intelligence skills are increasingly valued across a wide range of industries, including technology, finance, healthcare, retail, manufacturing and the public sector.

The course is designed to develop the knowledge and practical skills used across a wide range of data science and artificial intelligence roles.

Roles that use these skills may include:

Data analyst
Junior data scientist
Artificial intelligence developer
Machine learning engineer
Data engineer
Business intelligence analyst
Cloud data specialist
Software developer

The skills you’ll develop may also support progression to postgraduate study in data science, artificial intelligence, computing and related disciplines.

Course Leader

Dr Ashraf Mahmud

BSc (Hons) Data Science and Artificial Intelligence

Support

Frequently asked questions

What are the entry requirements for this course?

Entry requirements vary depending on your qualifications and country of study. Applicants are typically expected to meet academic and English language requirements before starting the course.

Can international students apply for this course?

Yes, international students are welcome to apply. UWS London supports students from around the world and provides guidance throughout the application and enrolment process.

How long does an undergraduate degree take to complete?

Most undergraduate degrees are completed over three years when studied full-time, although some courses may offer different study options.

What teaching methods are used on undergraduate courses?

Teaching may include lectures, seminars, workshops, group projects and independent study, depending on the course and module structure.

What student support services are available?

Students have access to academic support, wellbeing services, careers guidance and additional student support throughout their studies at UWS London.

Introduction

Course overview

During the course, you’ll:

Develop programming, software development and database management skills
Learn how to collect, analyse and interpret data to support decision-making
Explore artificial intelligence, machine learning and data engineering
Gain experience with cloud computing, big data technologies and data visualisation
Develop problem-solving, analytical and research skills through practical projects
Build communication, teamwork and professional skills for the workplace

Programme Information

Course structure

To achieve a BSc (Hons) Data Science and Artificial Intelligence, you’ll study 480 credits over four years, including core modules, optional modules and an honours project.

Course modules

Level 7

Introduction to Programming 20 credits
Introduction to Software Engineering 20 credits
Database Systems 20 credits
Applied Mathematics 20 credits
Analysis of Data 20 credits
ASPIRE 20 credits

Level 8

Intermediate Programming 20 credits
Introduction to Network and Cloud Computing 20 credits
Software Engineering Practice 20 credits
Data Structures and Algorithms 20 credits
ASPIRE 2 20 credits
Probability and Statistics 20 credits

Level 9

Research Methods in Computing 10 credits
Professional Computing Practice 10 credits
DevOps 20 credits
Mathematics for Data Science 20 credits
Fundamentals of Data Science 20 credits
Data Visualisation 20 credits

Optional Modules

Algorithms and Collections 20 credits
Cloud Services and Architectures 20 credits
Statistical Estimation and Inference 20 credits

Level 10

Computing Honours Project 40 credits
Data Engineering 20 credits
Artificial Intelligence Applications 20 credits
Big Data 20 credits

Optional Modules

Advanced Machine Learning 20 credits
Decision Support Systems 20 credits

Teaching and assessment

Teaching

You’ll learn through a combination of lectures, tutorials, workshops, laboratory sessions and independent study
Throughout the course you’ll apply your learning through practical exercises and projects that reflect real-world data science and artificial intelligence challenges

Teaching is supported through the University’s virtual learning environment, where you’ll have access to learning materials, resources and assessment guidance.

Assessment

Assessment varies between modules and may include:

Practical programming assignments
Software development projects
Data analysis projects
Coursework
Written reports
Presentations
Examinations
Your honours project

Admissions

Entry requirements

Academic entry requirements

Year 1:

Standard entry

You should normally have:

90 UCAS Tariff points, including Mathematics, Applications of Mathematics or Computing

Examples of accepted qualifications include:

Scottish Highers: BCCC
A Levels: CCD, including Mathematics or Computing (with Mathematics or Computing also required at GCSE level)

Other qualifications

Year 2:

Scottish Advanced Highers:

CCD (112 UCAS Tariff points) including Computing or Maths

A Levels:

BBC (112 UCAS Tariff points) including Computing or Maths

T Level:

Full T Level with Grade M in relevant subject (120 Tariff points)

International Baccalaureate:

28 points including Computing or Maths

SQA HNC/BTEC Level 4 HNC:

Computing (including Computer Programming); Computing Science; Software Development

Year 3:

SQA HND/BTEC Level 5 HND / DipHE:

Computing (including Computer Programming); Computing Science; Software Development

English language requirements

If English is not your first language, you'll need to demonstrate your English language proficiency. The qualifications below must have been gained within two years of the start of your course.

General English language requirements at UWS: International English Language Testing System (IELTS) Academic module (not General Training):

Overall score of 6.0
No component below 5.5

Common equivalent English language qualifications:

All stated English tests are acceptable for admission for both home/EU and international students for this programme:

CAE (Cambridge Certificate of Advanced English): 176 overall; no component below 169
CPE (Cambridge Certificate of Proficiency in English): 176 overall; no component below 169
Trinity College London Integrated Skills in English: ISE II with a Pass in all components
Pearson PTE Academic: An overall score of 59 to 64 with no component below 59
TOEFL iBT: 78; no component below 17 (Reading: 17; Listening: 17; Speaking: 17; Writing: 17)
Skills for English (SELT): Overall score of 6.0, with a minimum of 5.5 in all skills.

For applicants from certain countries who do not meet the minimum English language requirements outlined above, there may be an option to apply for an online pre-sessional English language programme.

Tuition Fees and Scholarships

Fees and funding

UK Students

£9,790

per year (2026/27)

Student loans and payment plans available

International and EU

£16,275

per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.

Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
No early payment discount will apply. For further information, please contact an Admissions adviser.

What could my future career look like?

Career prospects

Data science and artificial intelligence skills are increasingly valued across a wide range of industries, including technology, finance, healthcare, retail, manufacturing and the public sector.

The course is designed to develop the knowledge and practical skills used across a wide range of data science and artificial intelligence roles.

Roles that use these skills may include:

Data analyst
Junior data scientist
Artificial intelligence developer
Machine learning engineer
Data engineer
Business intelligence analyst
Cloud data specialist
Software developer

The skills you’ll develop may also support progression to postgraduate study in data science, artificial intelligence, computing and related disciplines.

Ready to apply?

Start your application today and take the first step towards an exciting career.

Key dates

Final enquiry deadline

Tuesday 30 June

Course start date

Monday 7 September

Need help?

Our admissions team is here to answer any questions you may have.

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BSc (Hons) Data Science and Artificial Intelligence

BSc (Hons) Data Science and Artificial Intelligence

Award

Duration

Study mode

Tuition fees

Starting dates

School

Award

Duration

Study mode

Tuition fees

Starting dates

School

Course Menu

Course overview

Course structure

Course modules

Teaching and assessment

Entry requirements

Academic entry requirements

Year 1:

Year 2:

Year 3:

English language requirements

Fees and funding

UK Students

International and EU

International scholarships available

Career prospects

Course Leader

Frequently asked questions

Course overview

Course structure

Course modules

Teaching and assessment

Entry requirements

Academic entry requirements

Year 1:

Year 2:

Year 3:

English language requirements

Fees and funding

UK Students

International and EU

International scholarships available

Career prospects

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