Course information
UK fee £12,950
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
The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity” and estimated the gap in data analysis professionals of approximately 140,000 to 190,000 potential positions.
Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world. The epoch of big data is here. Every day you can find hundreds of data-analysis related vacancies in the UK.
The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills. This course seeks to train the generation of world-leaders in data analysis and, to this end, you will be taught by world-leaders in the field.
You will learn how to discover knowledge in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems and meet your possible employers. Our partners for these projects include Eon, General Electric, Weatherford International, ARM and CapitalOne. These projects not only give you an opportunity to meet potential employers, but also to explore options for creating your own start-up company.
This degree is managed by our School of Computing and Mathematical Sciences and includes the option of two industry standard professional IT certifications.
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 2024 or January 2025
- MSc: £12,950
- MSc with Industry: £13,550
An additional fee of £3,510 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 2024 or January 2025
- MSc: £23,650
- MSc with Industry: £25,350
An additional fee of £3,510 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.
From 2022 onwards, EU nationals will pay the International 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).
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
- Mathematical Modelling
- Fundamentals of Data Science
- Statistics for Data Science
- Data Mining and Neural Networks
- Analysis and Design of Algorithms
Plus your Data Analysis for Business Intelligence Project
Option modules
Choose one option module from:
Plus, choose two option modules from:
- Computational Partial Differential Equations with Applications
- Generalised Linear Models
- Introduction to Functional Data Analysis
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?
The School of Mathematics and Actuarial Science at Leicester carries out research, training and postgraduate teaching in finance, risk management, dynamical systems, computational modelling, actuarial science, data analysis, algebra, topology and associated fields.
The School provides a stimulating academic environment where you can develop your knowledge and skills, and contribute to a wider understanding of the subject area.
We have more than 50 postgraduate research students, over 80 postgraduate taught students and in excess of 100 students studying by distance learning.
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 2024 start
- Application deadline: 9 September 2024 (Please note if you require a visa to study you will be required to submit your course application by 26 July 2024)
- Deposit payment deadline: 9 August 2024
- CAS request deadline: 6 September 2024
- 70% tuition payment deadline: 6 September 2024
January 2025 start
We are open for applications. Please contact the Admissions and Applicant Experience Team on +44 (0)116 252 5281 or email study@le.ac.uk for details of key dates and deadlines.
Apply now
Course | Qualification | Duration | Start Dates | Availability |
---|---|---|---|---|
Course Data Analysis for Business Intelligence | Qualification MSc | Duration 12-16 months full-time | Start Dates September each year, January 2025 | Availability Apply Now |
Course Data Analysis for Business Intelligence with Industry | Qualification MSc | Duration 24-28 months, full-time | Start Dates September each year, January 2025 | Availability Apply Now |
![smiling student sat at a table in a restaurant on campus](/-/media/uol/images/course-pages/quotes/pg/pg-maths-quote.jpg?la=en&h=179&w=627&mw=627&hash=589BE290A6095AE2499AA6329F683352)
The course is so interesting because it combines mathematical theories and their application to many real-world projects.