Computing and Mathematics
Bachelor's degree
In Luton
Description
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Type
Bachelor's degree
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Location
Luton
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Duration
3 Years
To provide an opportunity to develop skills in analysing and solving problems and allows students to develop and use computer applications to solve mathematical problems. Students gain a sound practical knowledge of how mathematics and statistics can be applied to solve real-world problems.
Facilities
Location
Start date
Start date
About this course
For this course we require 2 A levels minimum grade C, one of which must be Mathematics.
Reviews
Course programme
BSc Hons Computing and Mathematics
Mode: full-time
This is an integrated programme combining two key areas in demand.
There is a growing demand from industry for people with a firm grasp of both mathematics and computing.
There is a great deal of data collected every day and a growing need to turn this into information. To do so, knowledge of both computing and mathematics is required to analyse data and identify any patterns or trends.
This course brings together core elements of computing, mathematics, statistics and operations research to provide students with the opportunity to develop skills that can be used to solve complex problems.
Areas of study include:
- Computer programming
- Systems modelling
- Mathematical applications
- Forecasting and trends analysis
- Decision Support Systems
- Optimisation
- Data mining
Why choose this course?
- Seamless integration of mathematics and computer science
- Staff expertise in the link between mathematics and computer science (eg number theory and security or object orientation and mathematical modelling)
- Teaching methods underpinned by current research at the University, such as the use of a programming environment to conceptualise mathematical structures
Career Opportunities
There is currently a shortage of graduates with relevant computing and mathematics knowledge. Areas in which students may find employment include systems engineering, information engineering, scientific computing, mathematical modelling and the finance sector. Opportunities also exist in higher degrees and research programmes.
Assessment
Practical work, timed computer-based assessments, written exams and reports, presentations and a major project.
Computing and Mathematics