Computer Science (BSc)
Accredited by the British Computer Society.
A Computer Science (BSc) degree offers the opportunity to gain a highly regarded professional qualification with a firm grounding in the theory and practice of computing. Our courses approach the discipline in a rigorous, challenging and enjoyable way, enabling you to develop robust technical capabilities and transferable skills, such as communication and teamwork.
Please note, we have made a change to the IB entry requirements for this course. It is therefore very important that you check this page for the latest information before you apply and prior to accepting an offer.
If you have a talent for mathematics and a passion for technology, this exciting, accredited course will enable you to acquire technical skills in software engineering, algorithm analysis and system design, as well as experience of project management, research and scientific methods. As one of the most established courses in the UK, our focus is on the principles and underpinnings of computer science, an understanding of which will give you the ability to adapt to change and new developments throughout your career.
In short, while we teach using many of the latest technologies, our emphasis on fundamentals will prepare you to engage with any technology. You’ll work closely with industry leaders, enabling you to develop industrially relevant subject knowledge and transferable skills, such as teamwork, communication and planning. In your third year you’ll undertake an individual project, where you will apply your knowledge to an area of your choice under the supervision of world-leading academics. The course is taught from first principles, which means you don’t need prior knowledge of computer science or programming before you arrive. Our only requirements are that you have a strong background in mathematics and the desire to succeed - we’ll support you through our commitment to teaching excellence and stimulating academic community.
You may choose to spend a year in industry, research or study abroad between Years Two and Three of your degree. If you choose to study abroad or take a year in industry, this will be reflected in your degree title.
If you follow the MEng course you will stay on for a fourth year to study more advanced material. You will also participate in a group project, which will integrate taught material as well as helping you to improve your research and development skills in a team environment.
Your first year lays the foundation for a deeper knowledge of Computer Science through the study of advanced mathematics, computer architecture and programming.
Your second year will then build on this knowledge to explore areas such as operating systems and computer networks, database systems and software engineering.
In your third year you will undertake an individual project, where you will apply your knowledge to an area of your choice under the supervision of world-leading academics. Throughout the course you can select from a range of optional modules, including those in areas such as artificial intelligence, computer graphics and computer security.
Your courses offer a balance of core material delivered through lectures, small-group seminars and hands-on laboratory sessions. Approximately a quarter of your time is spent in timetabled classes, with the remainder being used for private study, completing assignments and projects, and practical work in the dedicated computing laboratories, which are open 24/7.
Your performance on most modules will be assessed by a combination of coursework and written examination. The coursework may be individual or group work involving programming, research, writing and presentation. The final-year project work is fully assessed by a presentation and project reports. Each year contributes to the final degree classification, typically in the ratio of 10:30:60 for a BSc degree and 10:20:35:35 for a Master’s degree.
You can apply to spend a year studying at one of our partner institutions overseas between Years Two and Three of your degree. We have an established exchange programme with the Hong Kong University of Science and Technology, which provides opportunities for our students to experience teaching and learning at another world leading institution. In addition to benefitting from a rich cultural experience, students returning from studying overseas exhibit an international profile that is attractive to potential employers.
We provide support for students wanting to spend a year in industry by promoting opportunities, hosting departmental careers fairs and offering one-to-one sessions with our departmental careers advisor. Intercalated year students are supported by their personal tutor and our Industrial Liaison Team during their year in industry. Students working in the UK are visited by academic representatives to review their development during the year.
IB: 38 with 6,6,6 in three Higher Level subjects including 6 in Higher Level Mathematics
In addition to Mathematics, many of our applicants are also taking one of the following subjects at A level or equivalent: Further Mathematics, Computer Science, Biology, Chemistry, Physics. However, all applications will be considered on their individual merits.
Contextual data and differential offers
Warwick may make differential offers to students in a number of circumstances. These include students participating in the Realising Opportunities programme, or who meet two of the contextual data criteria. Differential offers will be one or two grades below Warwick’s standard offer (to a minimum of BBB).
- Warwick International Foundation Programme (IFP)
All students who successfully complete the Warwick IFP and apply to Warwick through UCAS will receive a guaranteed conditional offer for a related undergraduate programme (selected courses only). For full details of standard offers and conditions visit the IFP website.
We welcome applications from students with other internationally recognised qualifications. For more information please visit the international entry requirements page.
Taking a gap year
Applications for deferred entry welcomed.
We do not typically interview applicants. Offers are made based on your UCAS form which includes predicted and actual grades, your personal statement and school reference.
Programming for Computer Scientists
On this module, whatever your starting point, you will begin your professional understanding of computer programming through problem-solving, and fundamental structured and object-oriented programming. You will learn the Java programming language, through practical work centred on the Warwick Robot Maze environment, which will take you from specification to implementation and testing. Through practical work in object-oriented concepts such as classes, encapsulation, arrays and inheritance, you will end the course knowing how to write programs in Java, and, through your ability to analyse errors and testing procedures, be able to produce well-designed and well-encapsulated and abstracted code.
Design of Information Structures
Following on from Programming for Computer Scientists, on the fundamentals of programming, this module will teach you all about data structures and how to program them. We will look at how we can represent data structures efficiently and how we can apply formal reasoning to them. You will also study algorithms that use data structures. Successful completion will see you able to understand the structures and concepts underpinning object-oriented programming, and able to write programs that use large data sets.
Mathematics for Computer Scientists I
A sound knowledge of mathematical reasoning is an essential skill for computer scientists, so on this module you will be provided with sufficient professional knowledge that will enable you to understand terminology and the role of formal definitions, and mathematical functions in problem-solving. You will become familiar with day-to-day mathematical operations, including probability (Bayes’ theorem, standard deviation and variance), propositional and predicate logic (Boolean operators, truth values and various laws of logic), elementary set theory and graph theory (including Eulerian and Hamiltonian graphs), relations, and the axiomatic method.
Mathematics for Computer Scientists II
On this module, you will gain sufficient mathematical knowledge to understand common mathematical operations and functions in computer science. By the end of the module, you will be expected to be able to carry out mathematical proofs, analyse vector spaces and use linear equations, and to perform operations of the differential and integral calculus with confidence and precision. You will also learn the basics of probabilistic analysis and apply the methods in practical examples. Specific topics you will cover include linear and matrix algebra, sequences and series, calculus, and abstract algebra.
Computer Organisation and Architecture
You will gain a fundamental understanding of the functional components of a computer system, and how they are organised. You will focus on hardware and how it performs during the execution of software operations. You will also develop practical skills in the use and construction of computer components, and their interface with microprocessors. By the end of the module, you will be expected to understand the operation and organisation of electronic logic elements, the architecture of simple microprocessors, input/output mechanisms, memory systems and hierarchies, and digital circuits and their interface with microprocessors.
In your first term, you will gain a basic understanding of operating systems, together with a working knowledge of the computing systems and their associated tools and applications that will be used within the Department of Computer Science. With these foundations in place, you will then develop your communication skills, both in writing and orally, with due attention paid to appropriate academic and technical language. You will complete the course studying ethics and behaviour, looking at the place of computers in society and the legal aspects of computing.
Operating Systems and Computer Networks
On this module, you will spend equal time studying the fundamental concepts of modern-day operating systems and computer networks respectively. With a practical bent, this will mean analysing the generic requirements, structure, operation and administration of a modern operating system. Whilst analysing, designing and writing programs in the light of network requirements and protocols; such as system interfaces, concurrency, deadlock detection and recovery, and security threats. Turning to networks, you will learn the relevant factors relating to LANs and WANs and wireless networks, client-server systems, routing algorithms, socket programming, and network management relating to performance, security and monitoring.
How does the theory of relational algebra serve as a framework for the efficient organisation and retrieval of large amounts of data? During this module, you will learn to understand standard notations (such as SQL) which implements relational algebra, and gain practical experience of database notations that are widely used in the industry. Successful completion will see you equipped to create appropriate, efficient database designs for a range of simple applications and to translate informal queries into formal notation. You will have learned to identify and express relative integrity constraints for particular database designs, and have gained the ability to identify control measures for some common security threats.
You will gain a fundamental understanding of formal languages and how the Chomsky hierarchy classifies them. You’ll study techniques for exploring the regularity of languages using closure properties and pumping lemmas, whilst also considering automata models, alongside the notion of computability. These concepts are central to computer science, and completion will see you able to specify between, and translate, various forms of formal language descriptions. You’ll learn methods of lexical analysis and parsing, and be able to argue whether a formal language is regular or context free. The teachings will discuss Turing machines and philosophical concepts such as decidability, reducibility and the halting problem.
Data structures and algorithms are fundamental to programming and to understanding computation. On this module, you will be using sophisticated tools to apply algorithmic techniques to computational problems. By the close of the course, you’ll have studied a variety of data structures and will be using them for the design and implementation of algorithms, including testing and proofing, and analysing their efficiency. This is a practical course, so expect to be working on real-life problems using elementary graph, greedy, and divide-and-conquer algorithms, as well as gaining knowledge on dynamic programming and network flows.
Centred on teamwork, you will concentrate on applying software engineering principles to develop a significant software system with your peers from feasibility studies through modelling, design, implementation, evaluation, maintenance and evolution. You’ll focus on design quality, human–computer interaction, technical evaluation, teamwork and project management. With a deeper appreciation of the stages of the software life-cycle, you’ll gain skills to design object-oriented software using formal modelling and notation. You will be taught the principles of graphical user interface and user-centred design, and be able to evaluate projects in the light of factors ranging from technical accomplishment and project management, to communication and successful teamwork.
Logic and Verification
The theory and practice relating to the reliability of systems forms a vital part of computer science. So, from this module, you’ll develop your understanding of mathematical logic, and learn to apply it when specifying and verifying computing systems. Studying algorithms and proof calculi for verification, as well as associated techniques, such as propositional and predicate logic. You will be able to comprehend and construct proofs, understand and compare the semantics of a variety of logics, and understand basic algorithms, along with formal tools for verification.
On this project-based module you will gain experience in designing, developing and implementing a significant project, under supervision. From submission of the outline and detailed specification, you will produce regular progress reports throughout, before presenting your final results. This is an excellent opportunity to develop important employability skills, including independent learning, self-discipline, organisation and time management.
Selection of optional modules that current students are studying
Functional Programming; Visualisation; Computer Security; Mathematical Programming 1; Artificial Intelligence; Cyber Security
See the Computer Science Teaching pages for a full range of modules.
Graduates from these courses have gone on to work for employers including: Google, Apple, Amazon Prime, IBM, Accenture, Barclays, Morgan Stanley, BP, Deloitte, ARM, Ernst and Young, CERN, Sega, GCHQ, Tesco, BA, D.E.Shaw, Goldman Sachs, M&S, Unilever, JPMorgan, Bloomberg, Ford Motor Company, KMPG and Mintel.
They have pursued roles such as: software engineer; systems analyst; investment analyst; web designer/developer; business analyst; actuary, economist and statistician; computer science researcher; university academic; teacher; entrepreneur and start-up owner.
Helping you find the right career
Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:
- Computing Your Career
- Technology in Professional Services
- Warwick careers fairs throughout the year
- Working in the Computer Games industry
- Computer Science Alumni Event
Find out more about our Careers & Skills Services here.
A level: A*AA to include A in Mathematics
IB: 38 with 6,6,6 in three Higher Level subjects including 6 in Higher Level Mathematics
Additional requirements: You will also need to meet our English Language requirements.
Degree of Bachelor of Science (BSc)
3 years full-time
28 September 2020
Location of study
University of Warwick, Coventry
Find out more about fees and funding
Additional course costs
There may be costs associated with other items or services such as academic texts, course notes, and trips associated with your course. Students who choose to complete a work placement will pay reduced tuition fees for their third year.
This information is applicable for 2020 entry.
Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply. Please read our terms and conditions to find out more
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