UDMATHMS - BSc Mathematics

Students’ learning is directed via face-to-face learning activities. These include: lectures, tutorials, seminars, computer-based learning, individual and group-based case studies and investigations, and directed independent study.
Students are expected to develop higher order cognitive/intellectual skills that are reflected in an ability to select and apply appropriate mathematical processes in problem solving; develop logical mathematical arguments with appropriate conclusions and an evaluation of their limitations; formulate complex problems, analyse and interpret the results in context; develop self-awareness and study skills and be able to work both independently and with others as part of a team. These skills will be developed by learning activities such as: problem solving classes and activities; case studies; problem-based learning data-driven computer-based analysis of real data; directed independent research and study.

All mathematics modules will have presence on the University virtual learning environment. Apart from standard information (module specs, staff contact details, surgery/office hours and regular notice boards) it will also include, where appropriate, online submission of assessments, marking and feedback; online quizzes, reusable learning objects, e-portfolios, social networking tools to motivate students. At level 4 on-line software will be used such as MyMatlab, Visual Calculus, MyStatlab, etc. Further in the course the specific local software will be used such as Computer Algebra packages (MAPLE), and various statistical and operational research packages (R, SPSS, SAS, Witness, etc) to enhance students learning and overall experience.

For students undertaking the single honours course, the aims are to

1. develop practical and analytical skills that will be applicable in the modern business environment.
2. enable students to demonstrate appropriate transferable skills and the ability to work with relatively little guidance and support.
3. ensure that students are competent in the use of the IT skills that are needed in the workplace
4. equip students with a body of knowledge and study skills to enable them to progress to and succeed in postgraduate study

By the end of this course a student is expected to have acquired knowledge and understanding of
1. mathematical methods and techniques, including algebra and calculus .
2. a range of modelling techniques, their limitations and applications .
3. the importance of using a structured mathematical or analytical approach to problem solving.
4.various abstract algebraic objects and their applications in science and engineering.
5. a rigorous approach to the analysis of functions of a real and a complex variable and their applications
6. the social and ethical responsibilities of a mathematician.
7. the role of mathematical techniques in the modern business environment.

1. mathematical methods and techniques, including algebra and calculus .
Met by studying all core modules.

2. a range of modelling techniques, their limitations and applications .
Met by studying all core modules.

3. the importance of using a structured mathematical or analytical approach to problem
solving.
Met by studying all core modules.

4. various abstract algebraic objects and their applications in science and
engineering:

Calculus and Algebra, Discrete Mathematics
and Group Theory, Algebra and Analysis

5. a rigorous approach to the analysis of functions of a real and a complex variable
and their applications:

Calculus and Algebra, Further Calculus and
Differential Equations, Algebra and Analysis

6. the social and ethical responsibilities of a mathematician.
Met by studying all core modules.

Mathematics, Statistics and Operational Research

Students are assessed via tests, exams, essays, individual and group research projects and a final dissertation with regular supportive feedback.

Students will be encouraged to undertake a (usually paid) sandwich placement between the level 5 and level 6. There will also be core 15 credits module in semester 2, Work Related Learning, at level 5 level. This module will give opportunity to students to gain skills and experience from work environment.

If attendance falls below 75% on a module, reassessment opportunities will not be available and instead the module will have to be retaken the following year with attendance and payment of fees. Mitigating circumstances cannot be claimed for missed classes; however Module Leaders will take account of absences that are a consequence of recorded disability or otherwise recorded as 'Authorised Absence' when applying the 75% threshold.

This course is accredited by the Institute of Mathematics and its Applications (IMA) as meeting in part the educational requirement for chartered status.

This degree will prepare you for a career in not just mathematics but in a number of fields where a good head for numbers is essential. You could go on to work in the computing, finance, scientific research and development or statistical industries to name but a few.

Many of our previous graduates have gone on to complete a PGCE in Secondary Mathematics and become mathematics teachers or tutors. Others have found work in related fields, such as international analysis and reporting at Time Inc UK, and accounting at Brackman Chopra LLP.

In addition to the University's standard entry requirements, you should have:

• a minimum of grades CCE in three A levels or minimum grades BB in at least two A levels, one of which must be from mathematics or numerate subjects (or a minimum of 96 UCAS points from an equivalent Level 3 qualification, eg BTEC Level 3 Extended Diploma/Diploma; or Advanced Diploma; or Progression Diploma; or Access to HE Diploma with 60 credits)
• English Language and Mathematics GCSE at grade C (grade 4 from 2017) or above (or equivalent)

Applicants with relevant professional qualifications or extensive professional experience will also be considered on a case by case basis.

If you don’t have traditional qualifications or can’t meet the entry requirements for this undergraduate degree, you may still be able to gain entry by completing the Mathematics BSc Extended Degree.

All applicants must be able to demonstrate proficiency in the English language. Applicants who require a Tier 4 student visa may need to provide a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.