Mathematics BSc (Hons)

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Description

About the course

This course has been developed to meet the demand in industry for skilled mathematician and statisticians. Developed as a vocational course, you will develop the technical and practical skills to enable you to use mathematics to solve real life problems in the workplace.

Reasons to study Mathematics at DMU:
  • The course has a strong emphasis on the applications of mathematics, but has a solid theoretical background.
  • You will be taught to use industry standard software where you will also be given scenario based projects allowing you to develop your skills and knowledge, preparing you for the workplace
  • In the second and final years, you will have the option of choosing from a…

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Didn't find what you were looking for? See also: Mathematics, BSc, C/C++, Further Mathematics, and Applied Mathematics.

About the course

This course has been developed to meet the demand in industry for skilled mathematician and statisticians. Developed as a vocational course, you will develop the technical and practical skills to enable you to use mathematics to solve real life problems in the workplace.

Reasons to study Mathematics at DMU:
  • The course has a strong emphasis on the applications of mathematics, but has a solid theoretical background.
  • You will be taught to use industry standard software where you will also be given scenario based projects allowing you to develop your skills and knowledge, preparing you for the workplace
  • In the second and final years, you will have the option of choosing from a range of mathematical application areas, enabling you to tailor your degree to your specific interests and career goals.

Graduates will have highly sought after logical and analytical thought processes, problem-solving abilities and good computing techniques, enabling you to enter a wide range of careers in areas such as mathematics, statistics, operational research, computing business and education.
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Key facts

Start date: September 2014

UCAS course code: G100

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

Institution code: D26

Entry and admission criteria

Entry requirements for 2014

  • Normally 300 UCAS Points from at least two A Levels or equivalent, one of which should be in a Maths subject plus five GCSEs at grade C or above, including Maths and English
  • BTEC requirements: Distinction Distinction Merit (DDM) at National Diploma Level including .
  • Additional qualifications can contribute toward the points score, such as a third A Level or AS Levels or equivalent
  • International Baccalaureate: 30+ points.

If you are unsure about the amount of UCAS points your qualifications may attract you can use our UCAS Tariff Chart|.

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

If English is not your first language, an IELTS score of 6.0 or equivalent when you start the course is essential. English language tuition| is available at DMU both before and during the course if required.

Teaching and assessment

The course uses a variety of teaching and learning methods including formal lectures, tutorials, computer based laboratory sessions and self-directed study. The choice of software used in course modules is informed by industrial practice, ensuring that your technical and practical skills are up-to-date and relevant.

You will normally attend approximately 12 hours of timetabled sessions each week and are expected to undertake at least 16 hours of directed independent study, as required.

Assessment in each module is designed to meet its specified learning outcomes. Assessment, typically, is one or more of a combination of individual assignments, time constrained phase tests, computer laboratory exercises, reports, presentations and exams.

Course modules

First year
  • Foundations and Algebra (core module)
  • Mathematical Methods and Models (core module)
  • Statistics and Operational Research I (core module)
  • Computing (core module)
Second year
  • Linear Algebra and Discrete Mathematics (core module)
  • Further Mathematical Methods and Models (core module)
  • Statistics and Operational Research II (core module)

plus 1 module from either:

  • Signal Processing (option module)
  • C++ for Games Programmers (option module)
  • Database Design and Implementation (option module)
Final year
  • Final year project (core module)

plus 3 modules from either:

  • Nonlinear dynamical systems (option module)
  • Statistical Modelling (option module)
  • Advanced Operational Research (option module)
  • Mobile games (option module)
  • Mobile robotics, fuzzy logic and knowledge based systems (option module)

Work experience and 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 Unit| 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 Ltd, IBM, GSK (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.

Graduate careers

Mathematics graduates will have logical and analytical thought processes, problem-solving ability, good computing techniques and the employability skills to enter a wide range of careers in:

  • Mathematics: eg. mathematical modeller, financial management, pensions, investment
  • Statistics: eg. data analyst, data miner, customer relationship management, actuarial work
  • Operational Research: eg. decision making, management scientist, logistics, transport planning
  • Computing: eg. programmer, database design, artificial intelligence
  • Business: eg. industry, commerce, accounting, insurance, banking
  • Education: eg. teaching

The course is also a springboard for those students who wish to undertake research or pursue a Masters course.

Fees and funding

UK/EU Full-time £9,000 Placement year £650 Part-time (Where available) 4 year course £5,925 per year 6 year course £3,950 per year Per module £988 per 15 credits International
Full-time £11,250 Placement year £750

For more information please take a look at our Fees and Funding| section.

Facilities

The newly refurbished computer science laboratories in Gateway House provide 80 computer workstations for students to use. The space is divided into four interconnected laboratories each with 20 machines (20 HP PCs running Windows/Linux and 60 Apple iMac computers running OS X and Windows).

All labs have printing facilities, Internet, internal network access and digital projectors to aid in teaching. All the machines are connected via the faculty network to a dedicated, high-performance file server for storage and backup of students' work.

The computer science laboratories include a study space area, equivalent in size to one of the individual laboratories, in which you can work individually or in groups – this study space is not timetabled so is available for you to use on a casual basis throughout the year.

Facility tour

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