Mathematics with Data Science and Artificial Intelligence BSc

From the very start of the course, you’ll be working hands-on with real data, writing code, and applying mathematical models in computer labs. You’ll spend time in dedicated spaces — computing labs, programming modules, and supervised project rooms — so practical experience is built into your everyday learning. By your final year, you’ll carry out a research-style project in data science or AI. And if you choose the “year in industry” route, you’ll also gain valuable workplace experience. These opportunities aren’t add-ons — they’re at the heart of the degree.

Here’s how your learning experience is structured:

• Computer labs and tools: You’ll get comfortable using professional software such as Python, R, and MATLAB, along with frameworks like TensorFlow for machine learning and AI challenges.

• Interactive classes: Many core modules include hands-on workshops and small group sessions where you’ll solve real problems side by side with your peers.

• Final-year project: In Year 3, you’ll design and carry out a research project on a topic in data science or AI, with guidance from expert faculty.

• Year in industry option: If you choose the four-year pathway, you can spend a year working in a company or research lab, applying your skills to real-world projects.

• Varied assessments: Instead of just traditional exams, you’ll take part in coding exercises, group and individual projects, presentations, and written assignments.

• Teamwork and communication: From early on, you’ll work in groups and deliver presentations. Modules like “Business Applications of Mathematics” help you connect theory with real business scenarios.

• Independent study: You’ll also have access to resources like the David Wilson Library and a range of study spaces across campus for your own research and learning.

• Support and infrastructure: The School’s facilities include e-learning platforms, modern computing labs, dedicated support systems, and personal tutoring to help guide your progress.

Graduates of this programme step into careers where they can turn complex data into meaningful insights, shaping decisions across industries. Many go on to work as Data Scientists, Machine Learning Engineers, Data Engineers, or AI Consultants. With experience, you could grow into leadership roles such as Chief Data Officer or Head of Analytics.

University services that support your career

At Leicester, you’ll have access to a wide range of support designed to help you succeed:

• Careers & Employability Service – offering tailored guidance with CVs, interview skills, mock assessments, and even mentoring opportunities.

• Industrial placement (Year in Industry) – the degree includes the option to spend a year in industry between your second and third year. This gives you hands-on experience, strengthens your CV, and helps you build a professional network before graduation.

• Academic support centres – including the Centre for Academic Achievement and the AccessAbility Centre, which provide help with study techniques, exam preparation, and tailored learning support where needed.

Employment prospects and salaries

Leicester graduates are highly employable — 94% are in skilled work or further study within 15 months of graduating. While salaries vary depending on the path you take, typical entry-level roles in data science, AI, and analytics in the UK start at £30,000–£45,000, with significant growth potential as you gain experience or move into specialist or managerial positions.

Industry connections and reputation

Your degree will be delivered by the School of Computing and Mathematical Sciences, a faculty that works closely with external research partners, tech companies, and business organisations. The university also runs Services for Business, which include research collaborations, consultancy, and Knowledge Transfer Partnerships. These connections often filter down to students through placements, projects, and networking opportunities.

Teaching quality and recognition

• Leicester has been awarded a Gold rating in the Teaching Excellence Framework (TEF 2023), a strong endorsement of both teaching quality and graduate outcomes.

• The degree is interdisciplinary, blending mathematics, statistics, programming, and AI — skills that remain in demand across all sectors.

• The reputation of Leicester’s mathematics and computing departments, both known for high-quality research, adds extra weight to your CV.

Career paths after graduation

With this degree, you’ll be prepared for roles such as:

• Data Scientist – building predictive models, spotting trends, and extracting intelligence from data.

• Machine Learning Engineer – designing and optimising AI systems.

• Data Engineer – creating and managing data pipelines and architectures.

• AI or Analytics Consultant – helping organisations integrate data-driven solutions.

These skills open doors to industries as diverse as finance, healthcare, technology, engineering, government, and beyond.

Further study opportunities

If you’d like to continue your academic journey, there are plenty of options:

• Master’s degrees in Data Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or Statistics.

• Research-focused programmes such as an MRes, MPhil, or PhD in fields like computational statistics, AI, or mathematical modelling.

• Professional certifications in areas like machine learning, cloud platforms, or specialist data tools, which can complement your academic qualifications and keep your skills up to date.