Mathematic problems occur across a variety of industries, and therefore, a good mathematician is often in demand. On this course we not only teach mathematical theory, but show you how to apply it to solve real-world problems. Whether you see yourself working in the finance sector, in marketing or advertising, or the aerospace industry, we aim to prepare you with the mathematical skills that are needed to work across a range different organisations. Most mathematical modelling now requires computers, and programming is often considered to be an essential skill for a mathematician, which is why we introduce using different software in the early stages of this course. For example, you may use R when working with statistics and data analytics, Python or MATLAB for working with fluid dynamics, and Deep Learning when building predictive models. The integrated master's year adds both breadth and depth to the BSc and covers topics such as:
- Data analytics
- Artificial intelligence
- Engineering applications
Year 1 Core modules: Introduction to Modelling and Problem Solving Calculus Mathematical Programming Applied Mathematics Linear Algebra Probability Theory and Statistical Analysis Year 2 Core modules: Real Analysis Mathematical Methods and Modelling Advanced Statistical Methods Operational Research Asymptotic and Perturbation Methods Group Project Year 3 – optional placement year This course offers an optional one-year work placement after Year 2. Year 3/Year 4 if undertake placement Core modules: Applied Data Analysis Partial Differential Equations Big Data Analytics Numerical Analysis Individual Project (Maths) Final year Core modules: Effective Research and Professional Practice Advanced Mathematical Methods Knowledge Representation and Reasoning Advanced Mathematical Modelling Case Studies in Data Analytics and Artificial Intelligence Option modules: Choose two from a list which may include: Artificial Intelligence Planning Data Visualisation
Assessment is varied and includes coursework, log books, presentations and demonstrations, as well as formal examinations. There are opportunities for group working, in addition to individual assessments. Your module specification/course handbook will provide full details of the assessment criteria applying to your course.
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Mathematics and its Applications, Institute of
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
In addition you must have GCSE English Language or Literature at grade 4 or above and Maths at grade 5 or above, or grade C and B respectively if awarded under the previous GCSE grading scheme. For further information please see the University's minimum entry requirements.
Please click the following link to find out more about qualification requirements for this course
English language requirements
If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent will be considered acceptable.
Read more about the University’s entry requirements for students outside of the UK on our 'Where are you from?' information pages.
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
|Northern Ireland||£9250*||Year 1|
|Channel Islands||£9250*||Year 1|
*This is a provisional fee and subject to change.
Additional fee information
Please see our website for more information - http://www.hud.ac.uk/undergraduate/fees-and-finance/undergraduate-scholarships/
University of Huddersfield
Course contact detailsVisit our course page
School of Computing and Engineering - Admissions
+44 (0)1484 473116
Student Recruitment Team
+44 (0)1484 472625