Data Science and Artificial Intelligence BSc (Hons)

Experiential Learning in Data Science and Artificial Intelligence at UEL

One of the best things about this degree is how practical it is from the very start. You won’t just sit through theory — you’ll actually be building systems, testing ideas, and solving real problems along the way. By the time you graduate, you’ll have hands-on experience with the same tools and approaches used in industry.

At the University of East London, you’ll have access to modern labs, computing suites, and open-access IT facilities. You’ll get to work with programming environments, cloud platforms, and data tools throughout your studies. The teaching style blends lectures, tutorials, and practical labs, all supported by Moodle (UEL’s virtual learning environment), so you always have resources and guidance at your fingertips.

In your final year, you’ll take on a major project that gives you the chance to lead your own data science or AI solution from start to finish. There’s also the option to take a placement year, giving you valuable industry experience before you graduate.

Here’s what experiential learning looks like in this programme:

• Work in computer labs and IT suites with open-access PCs and loan laptops, so you’re never limited by hardware.

• Use Moodle, UEL’s online learning platform, to access lecture notes, coursework, discussion forums, and resources anytime.

• Take part in hands-on labs and programming workshops where you’ll write, test, and debug your own code instead of just observing.

• Collaborate on group projects, dividing tasks such as data preprocessing, modelling, and evaluation, and bringing everything together as a team.

• Lead a major final-year capstone project, designing, building, and evaluating your own data science or AI solution.

• Choose an optional placement year between your second and third year to gain real-world industry experience and professional contacts.

• Work with real datasets and advanced tools, exploring big data infrastructure, cloud computing, and AI techniques like deep learning and natural language processing.

• Benefit from UEL’s industry connections with partners like Microsoft, AWS, Cisco, and CompTIA, giving you exposure to the tools and standards used in today’s workplaces.

• Tap into UEL’s library and digital resources, with access to books, journals, datasets, and computing support for your projects.

• Attend guest lectures, industry talks, and networking events, where professionals share insights into current challenges and trends in data science and AI.

Upon graduation, you’ll be in a strong position to step directly into high-impact tech roles or specialise further in AI. Many graduates move into careers such as Data Scientist, Machine Learning Engineer, AI Engineer, or Data Analyst—with competitive starting salaries in the tech sector.

Opportunities & Career Support

University Services

• At UEL, you’ll benefit from the Careers Guarantee—giving you access from day one to employer-led projects, placements, live briefs, and real industry engagement.

• The Centre for Student Success and employability teams will guide you with CV support, interview practice, career coaching, and help connecting you to internships.

• UEL’s Skills Academy runs workshops led by industry professionals, focusing on the exact skills employers are looking for in computing, AI, and data roles.

Employment Statistics & Salary Expectations

• UEL highlights itself as one of the fastest-rising universities in London for graduate employability, thanks to its hands-on Careers Guarantee model.

• While exact salaries vary, graduates in data science and AI roles in the UK typically start in the range of £30,000 to £45,000, with rapid growth as you gain experience.

• With the option of a placement year built into your degree, many students graduate with valuable industry experience already on their CV.

University–Industry Partnerships

• UEL is working closely with local partners, including Newham Council, to develop a UK Centre for Artificial Intelligence—blending research, training, and real-world applications.

• The course itself is co-designed with employers, meaning you’ll work on real briefs and projects that reflect what the industry actually needs today.

Accreditation & Long-Term Value

• This degree is widely recognised within computing and AI, giving you credibility for both job applications and further study.

• With a balance of theoretical foundations and practical, hands-on experience, you’ll graduate with a skill set that stays relevant as technology continues to evolve.

Graduation Outcomes

• Most graduates step into roles such as Data Scientist, AI Engineer, Machine Learning Engineer, or Data Analyst.

• Thanks to the placement option and strong employer links, you won’t just graduate with a degree—you’ll leave with proven skills, project work, and professional contacts that make you stand out.

Further Academic Progression

After your BSc in Data Science & Artificial Intelligence, you’ll also have clear routes for academic growth:

• Continue into a Master’s degree in fields like Data Science, Artificial Intelligence, or AI & Data Science (UEL offers these at postgraduate level too).

• Pursue research pathways such as a PhD in AI, machine learning, data analytics, or related fields.

• Gain specialised expertise through postgraduate certificates or professional training in areas like deep learning, computer vision, natural language processing, or advanced analytics.

• If you’re interested in blending tech with strategy, you could explore interdisciplinary Master’s programmes that combine AI with business intelligence, product management, or leadership.