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 * Robotics This MMath course follows the same first three years of teaching as the BSc degree, with a fourth year at master’s level. You can transfer from the BSc to MMath, provided you achieve the correct grades. Between your second and third year, you have the opportunity to undertake a placement year, supported by our dedicated Placement Unit, you get chance to put your theory into practice. You may find yourself working in retail helping organisation’s to analyse their customers purchases, or working in healthcare helping to sort and summarise patients’ records, or even working in the food industry to estimate the perfect cooking routine for different products. Professional links and accreditations: This programme is accredited to meet the educational requirements of the Chartered Mathematician designation awarded by the Institute of Mathematics and its 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.

Mathematics and its Applications, Institute of

26 January 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.

Course code: C038

Institution code: H60

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

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

https://www.hud.ac.uk/undergraduate/how-to-apply/entry-requirements/

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

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.

https://www.hud.ac.uk/international/where-are-you-from/

Student satisfaction : 66%

Employment after 15 months (Most common jobs): 65%

Go onto work and study: 80%

England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1
Channel Islands	9250.0	Year 1
EU	16000.0	Year 1
International	16000.0	Year 1

This information is for applicants applying to study at the University of Huddersfield in the academic year 2021/22. Please note that your tuition fees for subsequent years may rise in line with inflation (RPI-X). This webpage will be updated with 2022/23 tuition fees as information becomes available. If you are an EU or International student coming to study at the University of Huddersfield, please visit the International Fees and Finance pages for full details of tuition fees and support available - http://www.hud.ac.uk/international/tuition-fees/ Please email the Student Finance Office (sfo@hud.ac.uk) or call 01484 472210 for more information about fees and finance.

Queensgate
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Huddersfield
HD1 3DH