Mathematics100percent

Mathematics BSc (Hons)

This course emphasises mathematical concepts, analytical techniques and makes use of industry-standard software to provide you with the sound knowledge to develop your technical and practical skills. It will enable you to effectively apply mathematics to solve real-world problems fundamental to many areas, e.g. business, finance, industry, medicine, science, government and education.

Overview

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Reasons to study Mathematics at De Montfort University (DMU):

  • Accredited by the Institute of Mathematics and its Applications (IMA)
  • DMU has achieved Gold, the highest ranking possible under the Teaching Excellence Framework (TEF)
    Indicating the outstanding learning and teaching on offer at DMU. [Office for Students, 2017]
  • Mathematics was awarded 100% Overall Student Satisfaction  
    In the National Student Survey 2018

  • Learn technical and practical skills to increase your employability
    Benefit from a strong emphasis on the application of mathematics with a solid theoretical underpinning

  • Work placement opportunities
    Enhance your practical and professional skills, with recent placements undertaken at HP, Microsoft, IBM, GlaxoSmithKline and PepsiCo International

  • Specialist facilities
    Embedded within specific modules, and our high-specification computing laboratories run current professional software including; Windows, Linux and OS X

  • SAS endorsed modules
    There is very high demand for SAS expertise: SAS is the world’s largest independent business analytics company. Our students will have the opportunity to achieve an industry-recognised SAS certification

  • Receive additional one-to-one support from our Mathematics Learning Centre outside of your studies

  • Enjoy an international experience with #DMUglobal
    We offer all students the opportunity to take part in a #DMUglobal experience, which can enrich your studies and expand your cultural horizons. Previous #DMUglobal trips have included New York, Berlin, Hong Kong, China, Canada, Japan, South Africa, Russia and Italy to name a few.

Graduates with both technical and practical skills are in high demand by employers. This course has been developed to meet the demands of industry for skilled mathematicians and statisticians. It has a strong emphasis on the applications of mathematics, statistics and operational research and uses industry-standard software to prepare you for graduate employment. 

As a DMU mathematics graduate you will have highly sought after logical and analytical thought processes, problem-solving abilities and good computing techniques, which will give you the opportunity to enter a wide range of careers.

*The latest Destinations of Leavers from Higher Education survey, 2015/16

“This course is really interesting and good to invest your time in and it gives you a wide range of different skills which will increase your chance of employment once you have finished your degree.”

Nathaniel Seabrook, Mathematics BSc (Hons)

 

Graduate success and news 

Life-changing experiences for Mathematics student Dilraj

1,000 DMU students occupy New York's Times Square to fly the flag for global unity

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  • UK/EU
  • International

Key facts for UK/EU students

Institution code: D26

UCAS course code: G100

Duration: Three years full-time, four years with placement

Fees and funding: For 2019/20 tuition fees will be £9,250

Find out more about tuition fees and available funding.

Apply for the Vice-Chancellor's Sports Scholarship, worth up to £6,000.

Find out about additional costs and optional extras.

Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

Key facts for international students

Institution code: D26

UCAS course code: G100

Duration: Three years full-time, four years with placement

Fees and funding: £13,250

Find out more about course fees and available funding.

Find out about additional costs and optional extras.

How to apply: International students can apply to study at DMU directly using our online portal or direct application form

Contact us: For more information complete our online enquiry form or call us on +44 (0)116 2 50 60 70.

International students can apply to study at DMU directly using our online applications portal.

Entry criteria


  • Five GCSEs at grade C or above, including English and Mathematics or equivalent, plus one of the following:
  • Normally 112 UCAS points from at least two A-levels or equivalent, including A-level Mathematics at B or above or
  • Applied Science BTEC National Diploma/ Extended Diploma at DMM to include relevant Mathematics modules. In addition for all other BTEC courses A level Mathematics at grade B or above will be required
  • Pass in the QAA accredited Access to HE Maths course with at least 15 credits in Mathematics at distinction. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access course or
  • International Baccalaureate: 26+ points with Maths at higher level grade 6

Portfolio Required: No

Interview Required: No

We welcome applications from mature students with non-standard qualifications and recognise all other equivalent and international qualifications

English language – If English is not your first language we require an English language level of IELTS 6.0 with 5.5 in each component or equivalent

English Language tuition, delivered by our British Council accredited Centre for English Language Learning , is available both before and throughout the course if you need it.

UCAS Tariff changes

Students applying for courses starting in September 2018 will be made offers based on the latest UCAS Tariff. Find out more.

 

Structure and assessment

 

Course modules

Teaching and assessments

 

 

 

First year

  • Linear Algebra I - 
    This module introduces basic mathematical concepts as well as the idea of mathematical modelling. It provides a basic knowledge of linear algebra including matrices and systems of linear equations.
  • Linear Algebra II - 
    This module introduces numerical computation and basic discrete mathematics with a reference to systems of linear equations. This module also provides elements of vector algebra and complex numbers.
  • Calculus I - 
    This module introduces the theoretical foundations of Calculus and Mathematical Analysis that can be used to solve real-world problems.
  • Calculus II - 
    This module develops elements of Calculus and Mathematical Analysis that can be used to solve real-world problems. The emphasis of this module is on differentiation and integration. Practical examples are used to illustrate the utility of the theory.
  • Statistics I - 
    This module introduces fundamental statistical techniques for data collection, summary and presentation. Students will develop an understanding of key concepts associated with the analysis and interpretation of data. Extensive use will be made of a variety of software, e.g. SAS, Minitab.
  • Operational Research I - 
    This module introduces fundamental operational research techniques for solving real-world problems. Students will develop an understanding of key concepts associated with linear programming and algorithmic. Besides the theory, the students will learn how to implement the algorithms in software packages, e.g. Matlab and The Management Scientist.
  • Mathematical Modelling with Computers I - 
    This module provides the students with basic computer science concepts and computer implementations of concepts of basic mathematics with a strong focus on computer-aided mathematical modelling.
  • Mathematical Modelling with Computers II - 
    This module provides the students with an understanding on how computer science relates to mathematics and how models can be developed, using the algorithms and data structures available in the C++ standard library.

Second year

  • Applied Mechanics - 
    The mechanics presented on this module can be split into three areas all concerned with rigid bodies: the simulation of motion, the detection of collisions and the resolution of collisions. The students will be introduced to the mathematical techniques required for these models as the need arises. The students will be able to model the motion of rigid bodies under constant and variable acceleration. This will be done through Newton’s equations of motion for constant acceleration and numerical approximations methods such as Euler’s method for variable acceleration. The students will be able to detect collisions between pairs of convex rigid bodies using the SAT algorithm and be able to use simplified approaches for circles, axis-aligned bounding boxes and oriented bounding boxes. Collision resolution will be explored through the conservation of linear and rotational momentum with simple coefficient simulations of elasticity and friction.
  • Intro to CI and Control Systems - 
    This module introduces the principles of Computational Intelligence and the main techniques applicable to control as well as a variety of real world problems. The aim of this component is to provide the student with an understanding of the principles and applicability of the most widely used CI tools appropriate for control (e.g. autonomous mobile robots).
    This module provides the students with an overview on the basic and historical streams of computational intelligence, namely Fuzzy Logic, Neural Systems, and Metaheuristic Optimisation. Furthermore, it provides explicit context of these tools (mainly Fuzzy Logic) in the area of control with particular focus to robotics.
  • Abstract Algebra I - 
    This module furthers the student's knowledge of discrete mathematics and linear algebra and focuses on abstract algebra. Algebraic Structures, Group Theory and Vector Spaces will be studied.
  • Abstract Algebra II - 
    This module furthers the student's knowledge of discrete mathematics and linear algebra and focuses on inner product spaces and linear mapping.
  • Further Calculus I - 
    This module furthers the student's knowledge of Calculus and Mathematical Analysis and focuses on multivariate calculus.
  • Further Calculus II - 
    This module furthers the student's knowledge of Calculus and Mathematical Analysis and focuses on multivariate optimisation and integrability in multidimensional spaces.
  • Statistics II - 
    This module presents a range of statistical and techniques and their application to business decision making. It will allow students to develop their skills in the selection of statistical analyses and the interpretation and reporting of data. Extensive use will be made of a variety of software, e.g. SAS.
  • Operational Research II - 
    This module furthers the student's knowledge of operational research with an emphasis on numerical methods. The module will show how the theory can be applied to produce solutions to practical problems.

Third year

Optional modules:

  • Computing Project - 
    The project provides students with the opportunity to carry out a significant piece of work involving critical analysis and reflection to provide an effective solution to a given technical and/or research-based problem. It enables students to apply and integrate previous material covered on the student's course as well as to extend the work covered on the course through research and self-learning. Students will be expected to demonstrate appropriate and proactive project management, and written/verbal presentation skills throughout the period of the project. As well as analysing, designing, delivering and appraising a product of suitable quality, they will be expected to undertake, research, analyse, design, evaluate and report on some aspects of a subject explicitly allied to the project.
  • Rigorous Systems - 
    This module looks at formal systems in rigorous software development
  • Data Mining - 
    This module provides an overview on Data Mining: the science that studies how to store, organize and search within a large volume of data
  • Fuzzy logic and Knowledge Based Systems - 
    This module will introduce Fuzzy Logic and explain how to use it in the context of decision making.
  • Nonlinear Optimisation - 
    This module focusses on Nonlinear Optimisation problems with reference to both analytical and numerical methods for single and multi-objective problems.
  • Multicriteria Analysis - 
    This module examines the different types of advanced linear programming applications, such as transportation, trans-shipment and assignment problems; revenue management, portfolio models and other asset allocation problems and multicriteria problems. Students will be taught to formulate and modell the problems mathematically. They will learn to apply standard software packages, such as MATLAB, Excel LP Solver, Octave.
  • Non-linear Dynamical System - 
    This module introduces the principles and methods for investigation of nonlinear dynamical systems. It provides knowledge of modern nonlinear dynamical system theory and numerical methods for nonlinear analysis using MATLAB.
  • Modelling with Ordinary Differential Equations - 
    In this module students will experience some of the ways in which ordinary differential equations (odes) are used by mathematicians, engineers and scientists to model, explain and predict the behaviour of physical and biological systems. This module will draw upon a wide range of applications to demonstrate the modelling processing and solution using differential equations.
  • Modelling with Partial Differential Equations - 
    In this module students will experience some of the ways in which partial differential equations (PDEs) are used by mathematicians, engineers and scientists to model, explain and predict the behaviour of physical and biological systems. Some problems can alternatively be formulated as variational principles through which a definite integral must be maximised or minimised. This module will draw upon a wide range of applications to demonstrate the modelling processing and solution using partial differential equations and variational principles.
  • Statistical Modelling I - 
    This module focuses on the theoretical detail and practical application of time series methods in the analyses of time series data. Taking a practical approach, advanced statistical techniques will be introduced and students will use real problems to analyse time series data, thus building relevant statistical models, which are interpreted, critiqued and used to forecast. Time series is analysed from two complementary perspectives: the statistical theory and the implementation of the theory using industry standard computer software packages, e.g.) SAS, Minitab.
  • Statistical Modelling II - 
    This module focuses on the theoretical detail and practical application of analysing categorical data and the theoretical detail and practical application of analysing multivariate data. Taking a practical approach, advanced statistical techniques will be introduced and students will use real problems to analyse multivariate and categorical data, thus building relevant statistical models, which are interpreted and critiqued. Categorical data and Multivariate data are analysed from two complementary perspectives: the statistical theory and the implementation of the theory using industry standard computer software packages, e.g.) SAS. Minitab

The course is taught by friendly, knowledgeable, experienced staff who use a variety of teaching and learning methods, including: lectures, tutorials and computer-based laboratory sessions. The choice of software used is informed by industry practice, thus ensuring that your technical and practical skills are up-to-date and relevant.

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.

 

Facilities and features

Computer Science Laboratories

Our numerous high-specification computing laboratories are equipped with the latest PCs with current professional-standard software. The laboratories in Gateway House provide 100 computer workstations for students to use, and the space is divided into interconnected laboratories each with 20 machines (20 HP PCs running Windows/Linux).

You will benefit from printing facilities, internal network access and digital projectors which aid teaching and learning. All the machines are connected via the Faculty of Technology network to a dedicated, high-performance file server for storage and backup of students' work. Many of the software packages are open source which means students can download and run software at home. 

You will also benefit from study spaces within the faculty buildings that are available for you to use on a casual basis throughout the year in addition to our Kimberlin Library.

Urvee gets a dose of industry experience on prestigious placement

A second-year Mathematics is developing valuable skills during a prestigious placement at a world-renowned pharmaceutical company.

Her role involves working closely with a trial programmer to analyse clinical trials, as well as supporting research development through statistical programming.

Find out more...

Your campus, your DMU

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Want to find out where you would study and spend time?

We've got you covered, take a look at our Virtual Open Day to see the list of our campus buildings and student facilities.

Opportunities and careers

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Graduate Careers

As a DMU Mathematics graduate, you will be highly sought after in the job market. In addition to expanding your mathematical expertise and nurturing your logical and analytical thought processes, this practical course will enhance your problem-solving abilities and equip you with good computing techniques. It will also further develop your report writing, teamwork and presentation skills, enabling you to enter a wide range of careers in:

  • Mathematics: (e.g. mathematical modelling, financial management, pensions, investment, forensic science investigation)
  • Statistics: (e.g. data analysis, data mining, data science, customer relationship management, actuarial work)
  • Operational Research: (eg. decision making, management scientist, logistics, transport planning)
  • Computing: (e.g. programming, database design, artificial intelligence)
  • Business: (e.g. industry, commerce, accounting, insurance, banking)
  • Education: (e.g. teaching)

The course is also a springboard for our graduates who wish to undertake university (MPhil, PhD) research or pursue a taught master's course.

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#DMUglobal

This is our innovative international experience programme which aims to enrich your studies and expand your cultural horizons – helping you to become a global graduate, equipped to meet the needs of employers across the world.

Through #DMUglobal, we offer a wide range of opportunities including on-campus and UK activities, overseas study, internships, faculty-led field trips and volunteering, as well as Erasmus+ and international exchanges.

Our #DMUglobal High Flyers Award offers students a discount of up to £1,000 towards a #DMUglobal opportunity (terms and conditions apply).

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Placements

You can improve your CV, become highly employable and put the skills you learn on your course into practice by taking a work placement as part of your studies.

Technology's dedicated Placement Team provides support to all of our students looking to integrate a placement within their university career on both undergraduate degrees and postgraduate masters programmes. The placement unit will help you search for placement opportunities, create and refine your CV and interview approach, and offer any advice you need to find a great placement. Our placement students have worked for a range of organisations from small business through to multinational companies across the world including Microsoft, IBM, GlaxoSmithKline and PepsiCo International.

Placements can enhance your career prospects and give you the chance to use theory from the classroom in a real-world scenario before you have graduated.

DMU Open days

Our next Open Day takes place on Saturday 10 November 2018, book your place today.

Book now

Order a prospectus

Our prospectus will give you a clearer idea of what it's like to live and study at DMU and a snapshot of the courses we offer.

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How to apply

We welcome applications from students with a wide range of qualifications and experience.

Find out more

More about your DMU

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#IChoseDMU

Find out why our students are proud to say #IchoseDMU. Find out more.

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Accommodation


We offer a range of high-standard accommodation for our students, with nine halls of residence – and around 2,300 rooms – all of which are within easy walking distance of the campus. There is a choice of mixed or same-gender flats, shared kitchen and laundry facilities, furnished bedrooms (some with en suite facilities) and internet access. Find out more.

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Your DSU

Run by students for students, DSU now offers more than 120 societies as well as 40 sports clubs. You can also get involved in the award-winning Demon Media group, volunteer to help in the community, become a course or faculty rep, and take part in the union’s annual elections. Find out more.

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A city like no other

Studying here gives easy access to the vibrant hub of entertainment, shopping and culture that is Leicester. There are clubs, bars and pubs, as well as festivals, live music, theatres and cinemas. Leicester City Football Club play in the Premier League while Leicester Tigers are one of Europe’s biggest rugby clubs. Find out more.

 
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Events

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Come to an Open Day

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