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De Montfort University

Mathematics

UCAS Code: G100

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

Entry requirements


A level

B

A-level Maths at B or above

UCAS Tariff

112

from at least 2 A-Levels including A-Level Mathematics at B or above Five GCSEs A*-C (9-4) including English Language and Mathematics or equivalent.

About this course


Course option

3.0years

Full-time | 2021

Subject

Mathematics

Mathematics BSc (Hons) at De Montfort University has been designed to meet the demand in industry for skilled mathematicians and statisticians. The course will allow you to develop the technical and practical skills to use mathematics to solve problems in the workplace. You will be taught to use industry standard software, and you will also be given scenario based projects, allowing you to develop your logical and analytical thought processes to solve real life problems using computing techniques. The knowledge and technical experience gained will enable you to enter a wide range of careers in areas such as mathematics, statistics, operational research, computing business and education. Mathematics was awarded 100% overall student satisfaction in the National Student Survey 2018 and 100% of Mathematics graduates from summer 2017 are in work or further study after graduating, according to the Destinations of Leavers from Higher Education (DLHE) 2016-17 report.

Modules

First year
Core modules:
• Foundations and Algebra
• Mathematical Methods
• Statistics and Operational Research 1
• Mathematical Modelling using Computers

Second year
Core modules:
• Applied Mathematics
• Linear Algebra and Discrete Mathematics
• Further Mathematical Methods
• Statistics and Operational Research 2
Plus one optional module from:
• Education for Mathematics and Physics students
• Forensic Investigation
• History of Mathematics
Third year
Core modules:
• Individual Final Year Project
Plus three optional modules from:
• Non-linear Dynamical Systems
• Statistical Modelling
• Advanced Operational Research
• Data Mining
• Modelling with Differential Equations

Assessment methods

You will be taught to use professional software such as Minitab, SPSS, SAS and Matlab, and you will work on scenario-based examples allowing you to apply mathematics and develop professional skills via written reports, laboratory assessments and verbal presentations.

You will normally attend around 12-16 hours of timetabled taught sessions (lectures and tutorials) each week, and can expect to undertake at least 24 further hours of independent study such as reading around the topic area to supplement your lecture notes, completing tutorial work, computer laboratory exercises and coursework.

Tuition fees

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

England
£9,250
per year
EU
£9,250
per year
International
£13,750
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Leicester Campus

Department:

Computing, Engineering and Media

TEF rating:
Read full university profile

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

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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?

91%
UK students
9%
International students
70%
Male students
30%
Female students
92%
2:1 or above
16%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
D
D

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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You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

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Post-six month graduation stats:

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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

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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