AI for Business Intelligence MSc
12-28 months, full-time
Unlock the power of data to drive business success with our MSc in AI for Business Intelligence at the University of Leicester. This cutting-edge course will equip you with advanced skills in data analytics and AI, to transform insights into impactful decisions.
Course information
UK fee £13,250
International fee £23,650
Taught by School of Computing and Mathematical Sciences
Postgraduate Admissions Team
+44 (0)116 252 3953
cmsadmin@le.ac.uk
Course description
Course description
In today's data-driven world, businesses need skilled professionals who can not only understand data, but also harness AI to generate actionable insights. Our MSc in AI for Business Intelligence offers a deep dive into how AI and data analytics can revolutionise decision-making in businesses. This course will prepare you to work with data in the business environment, using mathematical, statistical and computational skills. You’ll explore practical, real-world applications of AI in areas such as predictive and prescriptive analytics, and data mining, equipping you with the tools to drive strategic growth in any organisation. Your summer project will allow you to apply your knowledge to solve real-world business challenges.
This course is designed to bridge the gap between academic learning and industry demands, preparing you for a career at the forefront of the data-driven business revolution. At the University of Leicester, you’ll benefit from an inclusive learning environment with a global outlook. As a Citizen of Change, you’ll engage in research that has a tangible impact on communities worldwide.
Studying this course at Leicester means being part of a university that values research-inspired education and practical applications. You will work and learn with leading experts in AI and data analytics at the School of Computing and Mathematical Sciences and your final project will allow you to apply what you have learned to real business problems with potential employers as clients.
- This course was previously advertised (with minor differences) as Data Analysis for Business Intelligence.
Entry requirements
Entry requirements
2:2 degree in Maths or related subject (eg. Physics) or equivalent international qualification. If your background is in computer science we will assess your student transcript.
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.
International Qualifications
Find your country in this list to check equivalent qualifications, scholarships and additional requirements.
Countries listFees and funding
Fees and funding
UK Students
Starting in September 2025
- MSc: £13,250
- MSc with Industry: £13,550
An additional fee of £3,520 will be charged if a placement is secured.
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.
Find out more about scholarships and funding.
Did you know you can apply for a Government Postgraduate Loan? Find out if you’re eligible.
International Students
Starting in September 2025
- MSc: £23,650
- MSc with Industry: £23,650
An additional fee of £3,520 will be charged if a placement is secured.
You will need to pay a deposit of £3,000 to secure your place. This will be subtracted from your total tuition fee.
Find out more about scholarships and funding.
Careers and employability
Careers and employability
The School of Mathematics and Actuarial Science has a long history of collaborating with industry for student projects. Companies we have worked with include Asset Intelligence, City Group, Santander, Deloitte, Risk Care, Alstom. Your summer project will be based on real data and developed in partnership with industrial contacts like these. Your project gives you a chance to find out more about working in industry, as well as exploring your options to set up your own start-up company.
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
Core modules
- Fundamentals of Data Science
- Statistics for Data Science
- Computational Intelligence and Software Engineering
- Data Mining and Neural Networks
Plus your Data Analysis for Business Intelligence Project
Option modules
Choose one option module from:
Plus, choose three option modules from:
- Computational Partial Differential Equations with Applications
- Generalised Linear Models
- Introduction to Functional Data Analysis
- International Business
- AI for Space
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.
Industrial Placement (optional)
Industrial Placement (optional)
Studying a 'with industry' Masters degree is the perfect way for you to enhance your career prospects and deepen your understanding of your specific area of expertise. By experiencing real-world scenarios and applying your skills and knowledge to business challenges, you will gain a unique insight into how your studies can be utilised in industry. This will not only showcase your abilities to future employers, but will also enhance your studies when you return to University to complete your programme.
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.
Project
Project
You will carry out an extended Data Analysis for Business Intelligence Project, based around analysis of a real dataset, organisation of a database or preparation of data analysis software for a specific problem.
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?
Global Impact Research: Benefit from the School’s research excellence in AI, as our academics lead the way in foundations and industrial applications of data analytics.
Inclusive Community: Be part of a diverse, supportive community that values collaboration and innovation, encouraging you to make a difference in your field.
Industry-Ready Skills: In your final project you’ll work on a problem with an industry client, allowing you to graduate with the expertise to directly impact businesses using AI and data.
Solid foundations: Based in the School of Computing and Mathematical Sciences, the degree emphasises analytical and technical skills and their practical application.
Teaching and learning
Teaching on this course is a combination of lectures, workshops, independent work, group and team work, supervised study and directed reading. Assessment of each module is through written exams, marked assignments, assessed problems, oral presentations and written project reports. Your research project assessment will be based on your written thesis and an oral exam.
Key dates
September 2025 start
- Application deadline: 8 September 2025 (Please note if you require a visa to study you will be required to submit your course application by 25 July 2025)
- Deposit payment deadline: 8 August 2025
- CAS request deadline: 5 September 2025
- 70% tuition payment deadline: 5 September 2025
Apply now
| Course | Qualification | Duration | Start Dates | Availability |
|---|---|---|---|---|
| Course AI for Business Intelligence | Qualification MSc | Duration 12-16 months full-time | Start Dates September each year | Availability Apply Now |
| Course AI for Business Intelligence with Industry | Qualification MSc | Duration 24-28 months, full-time | Start Dates September each year | Availability Apply Now |
The course is so interesting because it combines mathematical theories and their application to many real-world projects.