Mathematics and Artificial Intelligence BSc, 3-4 years

Start date:

2020

A strong foundation in mathematical knowledge and technical skills is essential for the development of modern Artificial Intelligence systems. This course will equip you to work in this exciting field.

Typical offer
ABB
Department
School of Mathematics and Actuarial Science

Admissions enquiries
+44 (0)116 252 5281
seadmissions@le.ac.uk

Course enquiries
+44 (0)116 229 7407
Mathematics@le.ac.uk

School of Mathematics and Actuarial Science website

Course description

Course description

Please note, this course is being advertised subject to approval.

Large and growing streams of data are ubiquitous in modern society and form the backbone of modern healthcare, public safety, services and science. Sustained functioning and progress in these essential areas depend on the ability to extract and process information from large and growing data. Since processing overwhelmingly large volumes of data can no longer be accomplished by humans alone, we must rely on Artificial Intelligence (AI) systems built on state-of-the-art machine learning and data analytics technologies.

AI systems have evolved dramatically in recent years; from being the subject of academic research with only focused and highly specialised practical uses, to the level of commonly accepted and widely-used technology. Industrial giants such as Google, Amazon, IBM and Microsoft have already embraced the new technology and are offering a broad and rapidly expanding range of AI-based services, including intelligent image and sound processing and recognition. Maintaining and developing these services in the years to come will require a significant pool of suitably educated expertise.

The BSc in Mathematics and AI addresses these market needs by offering a prestigious training programme aimed at delivering AI graduates with a solid background in mathematics, modelling, computational and digital skills. The University of Leicester has a strong teaching and research track record in these areas, with academic staff in Mathematics and Informatics producing high-quality research in collaboration with leading industries.

Entry requirements

Entry requirements

  • A/AS-levels: ABB including Maths. An A-level in Computer Science is desirable. Two AS-levels considered in place of one A-level. General Studies accepted
  • EPQ with A-levels: ABC + EPQ at grade B. A-level subjects to include Maths at grade A.
  • Access to HE Diploma: Pass relevant diploma with a minimum of 45 credits at level 3, 30 of which must be at Distinction. To include 15 credits at Distinction in Maths Level 3 modules. Plus grade A in Maths A-level
  • International Baccalaureate: Pass Diploma with 30 points including 5 points in Maths at HL.
  • BTEC Nationals: Pass Diploma with DDM plus A-level Maths at Grade A. Please contact School regarding eligibility.

Other national and international qualifications considered.

Second year entry may be possible with suitable qualifications.

Selection Process

When considering your application, we will look for evidence that you will be able to fulfil the objectives of the course and achieve the standards required. We will take into account a range of factors including previous exam results.

Applicants are not normally interviewed. If you receive an offer you will be invited to visit the School.

English Language Requirements

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.

Fees and funding

Fees and funding

UK and EU Students

Starting in 2020

Tuition fees for 2020/21 are yet to be confirmed. As an indication of what you might pay, the fees for students who started Maths courses in 2019/20 were:

  • £9,250 in your first year. Tuition fees are subject to government regulations and may change in future years
  • Year in Industry: your fee will be 15% of the full-time tuition fee that applies in that year

Find out more about scholarships and funding.

Additional costs

Please note that you will need to buy a Casio FX83GT calculator (approximately £6). This is not included in your tuition fee.

International Students

Starting in 2020

  • £17,450 per year
  • Year in Industry: £2,617.50, which is 15% of the full-time tuition fee

Find out more about scholarships and funding.

Additional costs

Please note that you will need to buy a Casio FX83GT calculator (approximately £6). This is not included in your tuition fee.

Careers and employability

Careers and employability

Mathematicians are highly employable across all sectors. This is due to both their technical and transferable skills. In addition, the Maths with AI degree will produce graduates with a solid background in modelling, computational, and digital-skills. It is the ideal choice for those wishes to seek a career in the emerging and fast-paced AI environment.

Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Related courses

Related courses

Course structure

Modules

Modules

Once this course is fully-approved, details of modules will be added to this page.

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Why Leicester?

We regularly host national and international mathematics conferences, which attract leading speakers from across the globe.

Job prospects are great: 94% of our Mathematics students are employed (or studying for a Masters degree) six months after graduating. (Which? University 2018)

The academic staff in the department have written or 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.

You will have the opportunity to work on real AI projects with industry partners.

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.

Development of ICT 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 Matlab and VBA and use LaTeX for scientific writing. However, no previous knowledge of computing is needed for any of our degrees.

A typical week for a first or second year student might consist of nine or ten hours of lectures, about 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.

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.

Overall workload

Typical workload hours for Mathematics courses in 2016/17:

Year 1: 31% of your time is spent in timetabled teaching and learning activity

  • Teaching, learning and assessment: 372 hours
  • Independent learning: 828 hours

Year 2: 25% of your time is spent in timetabled teaching and learning activity

  • Teaching, learning and assessment: 300 hours
  • Independent learning: 900 hours

Year 3: 21% of your time is spent in timetabled teaching and learning activity

  • Teaching, learning and assessment: 252 hours
  • Independent learning: 948 hours

Final year: 21% of your time is spent in timetabled teaching and learning activity

  • Teaching, learning and assessment: 252 hours
  • Independent learning: 948 hours

While your actual contact hours may depend on the option modules you select, the above information gives an indication of how much time you will need to allocate to different activities for each year of your course.

Academic support

Our Student Learning Development Team provides help in the following areas:

  • 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.

Apply now

Course Qualification Duration Availability
Course Maths and Artificial Intelligence Qualification BSc Duration 3 years Availability

Not currently available; contact admissions.

Course Maths and Artificial Intelligence with Year in Industry Qualification BSc Duration 4 years Availability

Not currently available; contact admissions.