Computer Science and Mathematics, BSc (Hons)

Successfully fusing the best features of our computer science and mathematics degrees, this course creates an integrated learning experience. Modules cover techniques in systems analysis, software development and graphics programming alongside appropriate topics in mathematics. Why choose this course?

The first two years of the course are used to develop basic skills in both mathematics and computer science. Core subjects focus on:

• software development and systems analysis
• mathematics, statistics and numerical methods.

In the final year, the core computer science modules focus on graphics, dynamic modelling and simulation. This theme is supported by mathematical modules on differential and integral equations and numerical analysis and dynamical systems.

• You will work closely with the School's Mathematics related research groups, Applied Mathematics and Statistical Modelling.
• The School has strong links with local industry so you will benefit from up-to-date/relevant courses and the opportunity of job placements with companies such as IBM and Misys.
• Our students have recently formed a Mathematics Society and you will have the opportunity to take part in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.

A key difference with our degrees is that our students really enjoy their course. Don't just take our word for it, in the recent National Student Survey (2011), 89% of our students would recommend studying Maths at NTU.

Questions? Just ask NTU
Telephone: +44 (0)115 848 4200

There are approximately 120 places available across our Mathematics cluster of courses, which includes:

• BSc (Hons) Mathematics
• BSc (Hons) Financial Mathematics
• BSc (Hons) Computer Science and Mathematics
• BSc (Hons) Sport Science and Mathematics.

Lectures will take place in various buildings across Clifton campus.

What will I study?

Year One

• Foundations of Computing Technology and Programming
• Computer Science Programming
• Computational and Numerical Methods One
• Introduction to Systems Analysis and Design
• Mathematical Methods One
• Statistics One

Year Two

• Applied Mathematics and Graphics
• Computational and Numerical Methods Two
• Mathematical Methods Two
• Software Design and Implementation
• Statistics Two
• Systems Software

Year Three
Optional placement year

Final Year

• Project
• Graphics for Games and Dynamics Modelling

Two from:

• Applied Statistics
• Linear Systems
• Numerical Analysis and Dynamical Systems.

A selection from:

• Advanced Analysis and Design
• Advanced Software Engineering
• Interaction Design and Project Management.

You will then have a choice to complete a Mathematics project and two of the below modules or a Computing project and one of the below modules:

• Numerical Analysis and Dynamical Systems
• Statistical Modelling
• Stochastic Processes.

For further information, download the module descriptions document.

How will I learn?

Contact time in lectures and seminars is around 14 to 16 hours per week, which includes 2 to 4 surgery sessions. This equates to about a third of the time for scheduled learning (including workshops and practical classes). The rest is given to self-guided independent study (reading text books, lecture notes and working on exercises).

How will I be assessed?

Assessment is by a variety of methods including the following.

Written

• Exams
• In class tests

Coursework

• Assignments
• Group projects
• Presentations

All mathematics modules have two or three assessment components. In Year Three approximately 66% these assessments will be carried out as written exams with the remainder assessed on coursework. The first two years will have a heavier weight on written exams with approximately 77% of assessment components exam/test based.

About the Mathematics Team

Dr James Hind, Lecturer
"I recently won several HESTEM grants to work with the Nottingham Girl's High School on final year Maths education projects and to build employability skills into our Maths course. Local, national and global companies have helped us to make sure that our students leave with the skills, abilities and confidence to excel in the jobs market.

"As a team our research focus includes biological mathematics, statistics and computational modelling but we also encompass financial analysis, cryptography and many other fields"

Dr Reuben O'Dea, Lecturer
"I am currently pursuing research in mathematical modelling of biological tissue growth. Specific research interests include: the influence of mechanical stimuli on tissue growth in bioreactors; multiscale aspects of tissue growth; and fluid dynamics. Techniques employed include asymptotic and numerical methods."

View the full course specification
Please note that course specifications may be subject to change