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University of Huddersfield

Mathematics

UCAS Code: C372

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

B,B,B

including Mathematics.

Access to HE Diploma

M:45

in a subject that is relevant to the course.

120 UCAS tariff points from International Baccalaureate qualifications.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DDM

in Engineering or DDM in Science/Technology plus Mathematics A-level.

UCAS Tariff

120

from a combination of Level 3 qualifications including Mathematics A-level.

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3.0years

Full-time | 2021

Other options

4.0 years | Sandwich | 2021

Subject

Mathematics

A degree in Mathematics can open the door to a wide range of interesting and exciting careers that studying a STEM subject enables to you to pursue. Mathematicians’ ability to reason logically, to develop quantitative models and to extract information from data means their skillset is valued everywhere. These skills are required across a variety of organisations that need to interpret meaning from big data sets, a process which is often referred to as data science. Industries include, aerospace, energy, social media, environmental, pharmaceutical, finance and electronics - to name just a few of the sectors eager to employ mathematically qualified graduates.

Our degree focuses on the mathematics you’ll need to solve real world problems using:

* Mathematical modelling.

* Data analytics.

* Statistics.

* Computing.

We look at calculus from the basics and underlying theory all the way through to the partial differential equations used to model flowing water and financial instruments. Statistics is covered from basic probability to the frontiers of Big Data. We also include a healthy dose of numerical computing so you are able to use mathematical software and write programs making use of the techniques you’ve learned. Our teaching has a clear focus on developing thorough logical reasoning skills and meaningful quantitative models. Theoretical knowledge is extended through its analysis and practical application to real-life problems.

As well as the technical skills needed, we offer modules where you work in groups to solve real world problems. This allows you to develop experience in project management and team work skills. More importantly it introduces you to the creative side of mathematics, developing new models and new techniques and explaining what you’ve done to a non-technical audience.

After your second year you’ll have the opportunity to take a placement year, putting into practice the techniques you’ve learnt. Our dedicated Placement Unit have links with companies in the UK, Europe and beyond.

As with many academics I love the “aha” moment when a student gets a concept. I also enjoy it when students are learning a new mathematical technique and ask me what they will ever use it for: that’s a great excuse to talk about some of the work I’ve done with industry and explain how differential equations can be used to model coffee brewing, or how integrals can be used to describe the molding of contact lenses. ~ Professor William Lee, Senior Lecturer.

Modules

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

Final year
Core modules:
Applied Data Analysis
Partial Differential Equations
Big Data Analytics
Numerical Analysis
Final Year Project (Maths)

Assessment methods

You will be assessed through a variety of methods including coursework, log books, presentations and demonstrations, as well as formal examinations. There are opportunities for group working, in addition to individual assessments.

We have a varied and experienced teaching staff including internationally recognised researchers as well as staff with many years of industrial experience. Your module specification/course handbook will provide full details of the assessment criteria applying to your course.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£16,000
per year
International
£16,000
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

Extra funding

Please see our website for full details of the scholarship http://www.hud.ac.uk/undergraduate/fees-and-finance/undergraduate-scholarships/

The Uni


Course location:

University of Huddersfield

Department:

Computing and Engineering (CE)

TEF rating:
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What students say


How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Mathematics

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

98%
UK students
2%
International students
40%
Male students
60%
Female students
22%
Drop out rate

After graduation


Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.

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While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

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