Northumbria University Newcastle - Mathematics MMath (Hons)

Northumbria University Newcastle

Mathematics MMath (Hons)

If you're interested in developing your mathematical talents and learning how to apply mathematics and statistics to real life problems, then this degree will give you an enjoyable route to becoming a mathematics graduate. It focuses on showing you how to apply a range of mathematical and statistical tools in order to get results, as well as learning to articulate how you have come to your conclusion. Our degree also includes the use of modern software and training on how to present your work professionally.

The university’s strong research culture feeds into the course, together with direct feedback from employers about the skills that they want our graduates to develop. These combine to ensure that you gain the most relevant up-to-date knowledge and skills on which to build your career.

We’re particularly proud of our high performance in the NSS (National Student Survey), steadily performing well above national averages.

Your first two years will offer fundamental knowledge in mathematics and statistics, then you’ll specialise your studies through a choice of optional modules such as financial mathematics, cryptography, medical statistics or fluid dynamics among others.

Entry Requirements

Standard Entry

120 UCAS Tariff points

From a combination of acceptable Level 3 qualifications which may include: A-level, T Level, BTEC Diplomas/Extended Diplomas, Scottish and Irish Highers, Access to HE Diplomas, or the International Baccalaureate.

Subject Requirements:

Applicants will need Grade B in an A-level Mathematics, or a recognised equivalent.

GCSE Requirements:

Applicants will need Maths and English Language at minimum grade 4/C, or an equivalent.

Additional Requirements:

There are no additional requirements for this course.

English Language Requirements:

International applicants should have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or an approved equivalent*).

Career Prospects

We’ll place great emphasis on supporting you to develop the knowledge and skills that employers value the most, including transferable skills such as creative thinking while applying structure to complex problems, communication, analysis and IT.

Mathematics graduates are highly sought after in a variety of sectors, both in the UK and internationally, including the financial sector and public sector, as well as in commerce, industry and teaching.

Course Details

From the outset, we’ll help you to take responsibility for your own learning as you develop the skills to investigate the frontiers of mathematics and statistics. You’ll be taught through lectures, classes, seminars and workshops in computer labs where you’ll work with your fellow students, supported by academic staff.
You’ll be able to use the university’s online resources to support your study, including the e-learning portal where you can access course materials and develop discussions with your peers.

We’ll also encourage you to take an independent approach to problem solving and you’ll develop skills in computer programming and data analysis using a range of specialist applications.

At the start of each module, we’ll be really clear about its content and what you should expect to achieve. Assessment will be through a mix of practical and theoretical approaches including coursework and exams and we’ll provide regular and high-quality feedback with every piece of work, as well as throughout the course, to ensure you develop the skills and knowledge you need to succeed.

Year One

Calculus (Core,20 Credits)
Computational Mathematics (Core,20 Credits)
Dynamics (Core,20 Credits)
Probability and Statistics (Core,20 Credits)
Real Analysis (Core,20 Credits)
Linear Algebra and Geometry (Core,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)

Year Two

Further Computational Mathematics (Core,20 Credits)
Applied Statistical Methods (Core,20 Credits)
Ordinary & Partial Differential Equations (Core,20 Credits)
Vector Calculus & Further Dynamics (Core,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Complex Variables (Core,20 Credits)
Statistical Modelling and Data Visualisation (Core,20 Credits)

Year Three

International Academic Exchange 1 (Optional,60 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Work placement year (Optional,120 Credits)
Study abroad year (Optional,120 Credits)
Work placement semester (Optional,60 Credits)

Year Four

Financial Mathematics (Optional,20 Credits)
Mathematical Cryptology (Optional,20 Credits)
Fluid Dynamics (Optional,20 Credits)
Dynamical Systems (Optional,20 Credits)
Advanced Statistical Methods (Optional,20 Credits)
Medical Statistics (Optional,20 Credits)
Project (Core,40 Credits)
Geophysical Dynamics (Optional,20 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Data Science (Optional,20 Credits)
Optimisation and decision analytics (Optional,20 Credits)
Methods of Applied Mathematics (Optional,20 Credits)

Year Five

Bayesian Statistics (Optional,20 Credits)
Time Series & Forecasting (Optional,20 Credits)
Linear & Non Linear Waves (Optional,20 Credits)
Numerical Solutions of Partial Differential Equations (Optional,20 Credits)
Masters Project (Core,60 Credits)
Academic Language Skills for Mathematics, Physics and Electrical Engineering (Core – for International and EU students only,0 Credits)
Research Methodology (Core,20 Credits)

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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