Mathematics and Statistics BSc - Single)

Overview

This courses aim to provide students with the ability to use mathematical reasoning and techniques in a variety of contexts and to apply knowledge in problem solving situations, the background knowledge and skills that will enable graduates to work effectively in areas where data analysis and, in particular, the analysis of large data sets, are important. This will include most large modern organisations. The focus of the course is the application of the statistical techniques in appropriate contexts using commercially used software. Students studying for this course will be introduced to the modern techniques, developed at the \university and used by organisations such as WHO (World Health Organisation) and a major banking organisation.

Faculty of Computing

Course contents

Three levels, each of 120 credits. If you take a Joint degree you study each subject for 60 credits at each level.

Level 1 topics include:

• Calculus and Linear Algebra
• Proofs,  Number Theory and Graph Theory
• Mathematical Programming
  
• Statistics with Financial Maths 1

Level 2 topics include:

• Further Calculus with Differential Equations
• Discrete Mathematics and Algebra
• Statistics with Financial Maths 2
• Operational Research
• Computational Mathematics

Level 3 topics include:

Core:

• Project
• Mathematical Modelling
  
• Financial and Statistical Modelling
  

Options:

• Algebra and Analysis
• Cryptography and Error Correcting Codes
• Work Placement

Assessment

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

Careers

Career opportunities

Graduates from this degree course will be able to embark upon careers in the field of statistics but also work more broadly in the marketing industry, data analysis and finance. In addition the graduates from this course can proceed to PGCE in Secondary Mathematics Teaching as well as MSc Statistics areas.
The Faculty of Computing's World of Work (WoW) Agency offers opportunities to enhance employability skills, gain real experience and 'earn while you learn' through placements into real client-driven projects - working with business and industry

What our students say
“It is truly a privilege to be a Mathematics and Statistics London Met's student. The full support from the lecturers, combined with the very modern mathematical labs, equipped with up-to-date relevant software, allows me to

say that I have the perfect conditions to pursue my course in a very stimulating way.

The structure of the course is well-organized and provides me with all the knowledge to connect different topics smoothly. Moreover, the practical applications of this course are endless and so the professional options are
promising. The course provides me with all the tools I need to be confident about my future.” Pedro Santos, second year.

Applying and entry

Sept full-time: apply through UCAS
Sept part-time, Feb 2013 full/part-time: apply direct to the University - contact Admissions for an application form.

Entry requirements

In addition to the University's standard entry requirements, You should have GCSE English and Mathematics at grade C or above (or equivalent), plus one of the following:
•    At least 200 points, of which at least 120 must be from a relevant area, from two or more A levels, one of which must be in Mathematics.
•    At least 200 points, of which at least 120 must be from a relevant area, from two A levels including Science, Physics or Engineering or from a BTEC National Diploma in Science, Engineering or relevant subject area with at least three merits in the final year, excluding common skills.
Accelerated study
Prior academic qualifications or work-based experience may exempt you from part of the course.

Applicants who do not fully meet the entry requirements may be eligible to start a BSc Computing Extended degree (UCAS code GP4X) leading to an award in Mathematics and Statistics. *4 years includes optional one-year paid sandwich placement.

Professional accreditation / exemption

Graduate membership of the Institute of Mathematics and its Applications

Further information

Please contact the Admissions Office:
Tel: +44(0)20 7133 4202
Fax: +44(0)20 7133 2677
Email: admissions@londonmet.ac.uk
or for further academic questions Nino Folic email