Data Science and Artificial Intelligence BSc (Hons)

This course is in clearing

Why study at UEL?

Top 40 UK university

Guardian University Guide 2026

1st in England

Overall Positivity*, National Student Survey 2026

Fastest Rising in England for graduate employability

Graduate Outcomes Survey 2025

Overview

Course modules

The course modules for the data science and AI foundation year are designed to equip you with essential skills in computing, mathematics, and problem-solving. Modules such as the Introduction to Computing and Applied Maths provide foundational knowledge, while the Mental Wealth; Professional Life and Key Skills Core Modules focus on practical teamwork and project development. These modules prepare you for advanced studies and careers in artificial intelligence and related fields.

The Year 1 course modules for the data science and AI degree focus on building a strong foundation in computer science, programming, web technologies, and computer systems. Modules such as Software Development and Web Technologies teach key technical skills, while Information Systems Modelling and Design and Mental Wealth; Professional Life 1 focus on the legal, ethical, and professional aspects. These AI courses prepare you for advanced study in artificial intelligence and other computing fields.

In Year 2 of the data science and AI degree, you dive deeper into advanced topics like Artificial Intelligence, Data Structures & Algorithms, and Programming for Data Science. The modules focus on practical skills, including database management, business intelligence analysis, and complex problem-solving, while preparing you for AI industry challenges and equipping you for a future in artificial intelligence.

In Year 3 of the data science and AI degree, you explore advanced topics such as Big Data Infrastructure & Manipulation, Enterprise Architecture and Cloud Computing, and Advanced Topics in Data Science and AI. These modules provide in-depth knowledge of big data handling, cloud computing, and deep learning techniques. You will develop expertise in AI and data science applications, preparing you for high-level roles in artificial intelligence and related industries.

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

Entry requirements

Degree:

112 UCAS points

This is the standard advertised entry requirement for most students applying to this course.

Degree with contextual offer:

96 UCAS points

You may be eligible for a reduced offer based on your personal, educational or socioeconomic background.

Degree with foundation year:

64 UCAS points

If you do not meet the standard entry requirements, you can apply for a foundation year. This additional year prepares you with the academic skills needed to progress to the full undergraduate degree.

 

Missing some qualifications? 


We have a range of pre-entry programmes to help you meet the entry requirements for this course.  

Recognition of prior learning (RPL)

Your previous qualifications, uncompleted study or industry experience may mean you can start your studies at a later point in the course and influence your eligibility for entry

What makes this course different

1st in London

Our artificial intelligence courses ranked 1st in London for “Teaching on my course” and “Academic Support” in the 2026 National Student Survey (NSS).

2nd in the UK

Our artificial intelligence courses ranked 2nd in the UK for “Learning Opportunities” in the 2026 National Student Survey (NSS).

Work placements

A range of modules focus on in-demand computing skills such as cyber security, mobile app development and AI. There is an embedded work-placement which ensures you will be industry-ready upon graduation and ready to meet the demands of the global digital revolution.

Course options

Select year

Degree

UCAS code: I105

Data Science and Artificial Intelligence BSc (Hons), home applicant, full time

  • Home Applicant ,
  • This course is in Clearing,
  • Full time, 3/4 years
  • £ 9,790 per year. Subject to change, see fees, funding and additional costs below

Data Science and Artificial Intelligence BSc (Hons), home applicant, part time

  • Home Applicant ,
  • Part time
  • pro-rata full time fee

Data Science and Artificial Intelligence BSc (Hons), international applicant, full time

  • International Applicant
  • Full time, 3/4 years
  • £ 16020 per year
Applications for September 2027 open soon

Degree with foundation year

with foundation year
UCAS code: I400

Data Science and Artificial Intelligence BSc (Hons), home applicant, full time

  • Home Applicant ,
  • This course is in Clearing,
  • Full time, 4/5 years
  • £ 9,790 per year. Subject to change, see fees, funding and additional costs below

Data Science and Artificial Intelligence BSc (Hons), international applicant, full time

  • International Applicant
  • Full time, 4/5 years
  • £ 16020 per year
Applications for September 2027 open soon

Degree

UCAS code: I105

Data Science and Artificial Intelligence BSc (Hons), home applicant, full time

  • Home Applicant ,
  • Full time, 3/4 years
  • £ 9,790 per year

Data Science and Artificial Intelligence BSc (Hons), international applicant, full time

  • International Applicant
  • Full time, 3/4 years
  • £ 16,020 per year

Degree

UCAS code: I105

Data Science and Artificial Intelligence BSc (Hons), home applicant, full time

  • Home Applicant ,
  • Full time, 3/4 years
  • £ 10,050 per year. Subject to change, see fees, funding and additional costs below

How we support your career ambitions

We offer dedicated career support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future data analysis career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

This digital platform provides you with careers and employability resources, including: 

  • Jobs board for internships, placements, graduate opportunities, flexible part-time work
  • Mentoring programmes for insight with industry experts
  • 1-2-1 career coaching services
  • Careers workshops and employer events
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme issues you with a Careers Passport to track the skills you've mastered. Some of these are externally validated by corporations like Amazon and Microsoft.
 

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top:

  • Work-based projects
  • Networking and visits to leading organisations
  • Support in starting a new business
  • London on our doorstep

Careers Guarantee

The UEL Careers Guarantee is the University’s commitment to supporting you with your career development during your studies and after you graduate. It brings together careers guidance, employability support and opportunities designed to help you prepare for work or further study.

What can I do with this degree?

Data science and AI are two of the fastest-growing fields in the global economy, and this degree positions you to work right at their centre. Graduates have gone on to work at TfL, the Bank of England, Johnson Care PLC and the New York Stock Exchange. One alumnus co-founded DinoByte Labs (now Starry Hollow Games), an award-winning game design company. 

Jobs you could go into include: 

  • Data scientist or data analyst 
  • AI engineer or machine learning engineer 
  • Business intelligence analyst 
  • Data architect or enterprise architect 

Postgraduate options at UEL include:

Official student data from Discover Uni

The banner below displays some key factual data about this course (including different course combinations or delivery modes of this course where relevant).

How you'll learn

You will learn through a mixture of lectures, tutorials, practical and lab sessions, and independent study. We also use a virtual learning environment (Moodle®) to supplement your learning journey.

This programme also incorporates a major project in the final year. This allows you to demonstrate your ability to organise and carry out a substantial piece of work linked to data science and artificial intelligence.

Guided independent study

When not attending timetabled lectures you will be expected to continue learning independently through self-study. This will typically involve reading journal articles and books, working on individual and group projects, undertaking coursework assignments and presentations, and preparing for exams. Your independent learning is supported by a range of excellent facilities including online resources, the library and Moodle.

Academic support

If you need a bit of extra help with certain skills such as academic writing, English, maths or statistics, our Academic Tutors offer workshops, drop-in sessions and one-to-one appointments to help our students achieve their potential. You can receive advice and guidance on all aspects of the IT systems provided by the university from our IT Service Desks located on all three campuses. 

Our Student Support hubs in Docklands and Stratford feature centralised helpdesks to cater to your every need. UEL provides support and advice for disabled students and those with specific learning difficulties (SPDs).

Dedicated personal tutor

Students are supported with any academic or subject-related queries by an Academic Advisor, module leaders, and former and current UEL students.

Workload

Your overall workload consists of class and online tutor-led sessions, individual learning, and practical activities.

Your timetable

Your individualised timetable is normally available to students within 48 hours of enrolment. Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week between 9.00am and 6.00pm. For undergraduate students, Wednesday afternoons are normally reserved for sports and cultural activities, but there may be occasions when this is not possible. Timetables for part-time students will depend on the modules selected.

Class sizes

The size of classes can vary depending on the nature of the course, module and activity. This can range from large groups in a lecture theatre setting, to smaller groups taking part in seminars and collaborative work. You will receive your personalised timetable at the beginning of the academic year depending on your course.

How you'll be assessed

Assessments will be via: 

  • examinations (in-class and at end of year)
  • case study analysis
  • portfolio collation
  • individual/group reports
  • group assessments
  • presentations

Feedback is provided within 15 working days in line with UEL's assessment and feedback policy.

Campus and facilities

Who teaches this course

This course is delivered by School of Architecture, Computing and Engineering

Our leading academics and practitioners contribute to UK parliamentary reports, public sector and policy-making departments. They are widely covered by various media for their state-of-the-art research on AI, data science, dark web and cybersecurity. Full details of the academics will be provided in the student handbook and module guides.

What our students and staff say

Docklands Campus - Student Accommodation
Our course will help you explore the fascinating and fast-moving field by studying natural language processing, predictive analytics, deep neural networks, image processing and more."

Solomon Alexis

Principal Lecturer

Data on a screen
Learning about artificial intelligence during a time when it was becoming more common and widely applied gave the course real relevance. I felt like I was preparing for something big.”

Luke Parker

BSc (Hons) Data Science and Artificial Intelligence

Data Science and Artificial Intelligence FAQs