Computer Science with Mathematics

Bachelor's degree

In Leeds

£ 9,250 + VAT

Description

  • Type

    Bachelor's degree

  • Location

    Leeds

  • Start date

    Different dates available

Mathematics is the underlying language of computer science, and many of its applications are in the field of computer science. Historically, computer science is unthinkable without mathematics, and many breakthrough discoveries were made at the intersection of both fields. Nowadays, the rapid evolvement of computer science poses numerous exciting challenges that can only be solved hand in hand between both disciplines.
Taught by the School of Computing and the School of Mathematics, this course allows you to study core topics in both subjects while specialising in areas that link the two at Leeds.
You’ll explore topics such as logic, algorithms, graph theory, optimisation, scientific computing, big data and complexity science in depth, and consider how they are applied to meet some of the major challenges facing the modern world. Optional modules will allow you to focus on one of three individual specialisms: discrete mathematics, scientific computation, or complex systems.
You’ll study among experts in specialist facilities, benefiting from the expertise in both Schools. You’ll also apply what you’ve learned to an individual research project, helping you to develop the range of skills and experience you’ll need for a professional or academic career.
Research excellence
Leeds is particularly well placed to offer this joint degree. A number of outstanding research groups in the School of Computing and the School of Mathematics are working on the interface of Computer Science and Mathematics, among them Algorithms and Complexity, Artificial Intelligence, Computational Science and Engineering as well as Mathematical Logic and Applied Nonlinear Dynamics.
Specialist facilities
You’ll have access to specialist facilities including well-equipped labs containing Linux and Microsoft platforms.

Facilities

Location

Start date

Leeds (North Yorkshire)
Maurice Keyworth Building, The University Of Leeds, LS2 9JT

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A-level: AAA including Mathematics, excluding General Studies.
Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.
Excludes A-level General Studies or Critical Thinking.
Due to the competitive nature of this course, the Admissions team may take a variety of factors into account when assessing applications. Please read the admissions statement for further information. ed interest and aptitude for the subject (typically AAB). Where Maths or Computing are required this...

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • GCSE Mathematics
  • Computational
  • Programming
  • Systems
  • Project
  • School
  • Logic
  • Mathematics
  • Statistics
  • Algorithms
  • Computing

Course programme

Your first year will introduce you to a range of fundamental topics in both computing and mathematics, including computer programming, systems, modelling, applied mathematics, pure mathematics and statistics. This will lay the foundations for the next two years, when you’ll build on your skills in core modules focusing on numerical computation and algorithms.

You’ll also choose from optional modules specialising in one of three key areas:

  • Discrete mathematics: exploring the development, analysis and application of algorithms for computationally hard problems from optimisation, graph theory, and logic. This provides the key foundations for developments in computer networking and security.
  • Scientific computation: focusing on the analysis and implementation of high-performance and parallel numerical algorithms. Fluid dynamics, combustion and atmospheric dispersion are among the different applications of this area.
  • Complex systems: laying the foundation for the interdisciplinary study of the world around us, from genetics to ecology; from neuroscience to social networks; and from finance to the web. As a discipline, it combines the study of dynamical systems with data driven analysis and statistical or computational modelling.

Year 3 will also give you the chance to research a related topic in-depth, when you complete an individual project under the guidance of your academic supervisor.

In your final year you have a wide range of choices from specialised modules in mathematics and computing, which expose you to current research developments and equip you with analytic skills and in-depth knowledge in one of the three specialisms discrete mathematics, scientific computation, or complex systems.

Projects

Every year of the course gives you hands-on experience of project work. This gives you the opportunity to explore your subject further as well as developing valuable skills in problem solving, communication and teamwork.

Find out more about our Projects

Computing Ethics

You’ll study computing ethics as part of your course. This is taught using real life case studies, with input from specialist ethicists as well as your tutors and lecturers. The team responsible for the ethics taught in computing has produced educational material used to stimulate debate in class about topics such as ethical hacking, open source software, and use of personal data.

Not only will this enhance your reasoning and decision making skills which are crucial to employers, but it will help you identify and respond effectively to ethical dilemmas that you will encounter in your professional life in the IT industry.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

Compulsory modules

  • Computer Architecture 10 credits
  • Computer Processors 10 credits
  • Fundamental Mathematical Concepts 10 credits
  • Introduction to Discrete Mathematics 10 credits
  • Procedural Programming 10 credits
  • Object Oriented Programming 10 credits
  • Calculus and Mathematical Analysis 10 credits
  • Numbers and Vectors 10 credits
  • Introductory Linear Algebra 10 credits
  • Modelling with Differential Equations 10 credits
Optional modules
  • Programming for the Web 10 credits
  • Databases 10 credits
  • Financial Mathematics 1 15 credits
  • Probability and Statistics I 10 credits
  • Probability and Statistics II 10 credits

Year 2

Compulsory modules

  • Numerical Computation 10 credits
  • Algorithms and Data Structures I 10 credits
  • Algorithms and Data Structures II 10 credits
  • Mathematical Logic 1 10 credits
Optional modules
  • Operating Systems 10 credits
  • Networks 10 credits
  • Formal Languages and Finite Automata 10 credits
  • ...

Computer Science with Mathematics

£ 9,250 + VAT