Data Science and Artificial Intelligence BSc (Hons)

This course is in clearing

Overview

Course options

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Degree

UCAS code: I105 112 UCAS points
  • BSc (Hons) Data Science and Artificial Intelligence, home applicant, full time

    • This course is in Clearing

    • Home Applicant
    • Full time, 3/4 years
    • Pound 9250 Per year
  • BSc (Hons) Data Science and Artificial Intelligence, home applicant, part time

    • Home Applicant
    • Part time
    • Pro-rata full time fee

Degree with foundation year

UCAS code: I400 64 UCAS points
  • BSc (Hons) Data Science and Artificial Intelligence, home applicant, full time

    • This course is in Clearing

    • Home Applicant
    • Full time, 4/5 years
    • Pound 9250 Per year

Degree

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

    • International Applicant
    • Full time, 3/4 years
    • Pound 14580 per year

What makes this course different

Leading academics

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.

1st in London

Our Artificial Intelligence courses ranked 1st in London in 9 categories including “Teaching on my course” & “Learning Opportunities” in the 2024 National Student Survey

(National Student Survey 2024, Results published 10 July 2024)

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 modules

Your data science foundation year will give you a good grounding in maths, computing and business systems, preparing you for the three year degree.

Your first year deep dives into various areas of data science, strengthening your maths, software and IT skills.

Your second year develops your skills in databases, AI, and programming.

In your final year you focus on advanced topics in data science and AI, and undertake an individual academic project.

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

Download course specification

Your future career

For those interested in a blend of data science and AI, our data science degree offers a practical, hands-on approach that can give you practical skills for your future career. We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our course has been created in collaboration with employers and industry to ensure it accurately reflects the real-life practices of your future career and provides 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.

Industry links

We have links with Microsoft IT and CompTIA Academy, Cisco and AWS, which means you can make connections during your data science degree.

Graduate employers

Graduates have gone into employment at TFL, the Bank of England, and Johnson Care PLC.

Other alumni range from information security architects working at the New York Stock Exchange to entrepreneurs running a successful award-winning game design company (DinoByte labs).

Job roles

With a data science and AI degree you could focus on the emerging AI industry and become an AI engineer, developing algorithms, or use your data analysis skills to work in any industry as a data scientist or analyst.

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

Further study

We have a range of postgraduate courses you could go on to study, including:

Doing a masters in the field of data science or AI will give you in-depth training in mathematics, statistics, and computer science. This could help you advance to higher-level positions such as machine learning or artificial intelligence engineer, data architect, enterprise architect, or applications architect.

Recently one of our AI lecturers used artificial intelligence to predict dog personality types, showing how fascinating this new field is.

Romina Novaku
UEL is the place of opportunities, challenges, knowledge and dreams. It shaped my future and gave my work life a new purpose, a much better one - to become a data scientist."
Romina Novaku

Lecturer

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 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

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

Docklands Campus, London, E16 2RD

Who teaches this course

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

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

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Statistics for BSc (Hons) Data Science and Artificial Intelligence Degree, Full Time

Statistics for BSc (Hons) Data Science and Artificial Intelligence Degree, Full Time

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