Overview
Our Mathematics with Data Science and Artificial Intelligence BSc is interdisciplinary, combining traditional mathematical techniques with state-of-the-art applications in data science and artificial intelligence (AI). It will provide you with a sound background in the techniques of mathematics and statistics, training in data science tools, computational and programming skills, as well as an understanding of data science practice. You will gain expertise in handling large sets of data and drawing knowledge, patterns and trends from these data sets. This degree will cover machine learning and AI, statistical and mathematical modelling and teach a range of programming languages. Your third year includes a research project on a data science/AI topic. Development of data analysis and programming skills is an integral part of all our mathematics degrees. Through a combination of computer labs and dedicated modules, you will learn to use the computational functions in Excel, program in R, Python and Matlab and use LaTeX for scientific writing. No previous knowledge of computing is required for any of our degrees.
This course will prepare you for a career as a data professional, with career opportunities such as:
* Machine Learning Engineer
* Data Engineer
* Software Architect
* Data Science Consultant
* Data Scientist
* Data Architect
* Database Administrator
These roles are in high demand across a broad range of sectors including healthcare, engineering, finance and marketing. This course will equip graduates with a sound background in mathematics and statistics, provide computational and programming skills as well as developing a solid grasp of machine learning and artificial intelligence tools and an understanding of data science practice. Our mathematics graduates go on to excel in roles in industries such as finance and insurance, education, manufacturing trade and construction, information and communication, science and technology, public administration and civil service sectors, as well as undertaking further study. Get career-ready at Leicester with guidance from our award-winning Careers and Employability Service. We\u2019re here to give you a lifetime offer of support, even after graduation. Our team of specialist careers advisers and mentors will help you every step of the way. From supporting you with CVs and interviews, to volunteering opportunities and placements, we\u2019re here to help you reach your professional goals.
We have a thriving, student-led Maths Society (SUMS) and Leicester Actuarial Science Society (LASS) which organise social activities and guest lectures throughout the year. Joint 1st for employability in the UK, with 94% of graduates in skilled work or further study 15 months after graduation (The Guardian, 2025). UK Top 30 (Complete University Guide, 2026) and 3rd in the UK for Mathematics (Daily Mail 2026). Our academic staff have written and edited dozens of books and publish regularly in major national and international journals. Where other people only get to read what our experts think, you will be working directly with them, learning from them in lectures and questioning them in seminars.
Teaching and learning
As well as lectures, your course will involve regular group meetings, run by both staff and other students, where students\' work is discussed. You will gain experience in presenting mathematical arguments to fellow students, which will enhance and develop your presentation and communication skills. A typical week for a first or second year student might consist of nine or ten hours of lectures, around four hours of small group working and about three hours of problem classes or computer classes. You will also spend several hours a week on private study: review of lecture material, problem solving, additional reading and preparing for tutorials.
Assessment will be via course work, computational exercises, projects and written exams. Independent learning
When not attending lectures, seminars or other timetabled sessions you will be expected to continue learning independently through self-study. Typically, this will involve reading journal articles and books, working on individual and group projects, undertaking research in the library, preparing coursework assignments and presentations, and preparing for exams. To help with your independent learning, you can access the Library and our social study spaces in halls of residence. Your contact hours will depend on the option modules you select. You can see details of the contact hours on individual module pages.
Academic support
Our Centre for Academic Achievement provides help for:
* study and exam skills
* academic writing
* presentations
* dissertations
* numerical data skills
* referencing sources
Our AccessAbility Centre offers support and practical help for students with dyslexia or other specific learning difficulties, including physical, mental health or mobility difficulties, deafness, or visual impairment.
Teaching staff
You will be taught by an experienced teaching team whose expertise and knowledge are closely matched to the content of the modules on the course. PhD research students who have undertaken teacher training may also contribute to the teaching of seminars under the supervision of the module leader. Our teaching is informed by the research we do. You can learn more about our staff by visiting our staff profiles.
In today\u2019s data-driven world, there is a high-demand for professionals who can use, design and build tools for extracting and extrapolating knowledge from data. This degree will equip you with a mathematical foundation and the interdisciplinary skills needed for a successful career in data science and AI.
Admissions and qualifications
* A/AS-levels: ABB including Maths. Two AS-levels considered in place of one A-level.
* EPQ with A-levels: BBB + EPQ at grade B. A-level subjects to include Maths.
* Access to HE Diploma: Pass Diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction. Plus A-level Maths at grade A-B. We may consider substantial Level 3 Maths Access credits in place of A-level Maths. Please contact admissions regarding eligibility.
* International Baccalaureate: Pass Diploma with 30 points including grade 5 in HL Maths.
* BTEC Nationals: Pass Extended Diploma with DDM, plus grade B in A-level Maths. BTEC not accepted by itself. Please contact Admissions regarding eligibility.
* Other official national and international qualifications considered from across the world. You can review some of the qualifications we accept on our countries page and English Language equivalencies.
* IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
Scholarships and funding
* AI for Data Science
Optional modules
* Industrial Applications of Mathematics, Course Mathematics with Data Science and Artificial Intelligence
Qualification
* BSc
* Duration 3 years
* Attendance Full-time
* UCAS Code G120
* Start Dates September 2026
* Availability
If you want to, you can take a year out between Years 2 and 3 to work in an industrial placement (provided you meet set criteria). Or you can opt to continue studying at the University and complete your degree in three years.
NB. A year spent on an industrial placement still incurs a tuition fee, but this is much lower than for a normal year at Leicester. See our Fees and Funding section for details. You will undertake a programme of training and practical experience that is agreed between the sponsoring company and the University. A member of staff will be individually assigned to you as your industrial placement tutor, who will be in regular contact with you throughout your placement and will visit the sponsoring company. A year in industry is a great opportunity which can give you first-hand experience of working in a mathematics-related career while also enhancing your employability skills and allowing you to network with people in industry.
Fees and funding
* £9,535 in your first year. Tuition fees may increase in subsequent years in line with inflation, subject to government regulations. The inflation rate used will be the Retail Price Index excluding mortgage payments (RPIX)
* Year in Industry: your fee will be £1,905 for that year
* International Students Starting in 2026: £25,100 per year
* Year in Industry: £3,765 which is 15% of the full-time tuition fee
* If you are resident outside the UK and the Republic of Ireland, you will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee. If you are an EU national with settled or pre-settled status under the EU settlement scheme, you may qualify for the UK fee (subject to criteria).
* Please note that you will need to buy a Casio FX83GT calculator (approximately £6). This is not included in your tuition fee.
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