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You will learn some of the standard algorithms and data structures that underlie all areas of computation and put them into practice through various Python based courseworks. You will also apply some mathematical concepts to analyse both the theoretical complexity of algorithms and their practical behaviour. Software Engineering and Professional Practice (20 credits) A conceptual and practical introduction to object-oriented programming and software engineering practices. As well as providing a grounding in the use of Java, the course will cover general principles of programming in imperative and object-oriented frameworks. Introduction to Linear Algebra (20 credits) Graduates increasingly work as data analysts, data scientists or business analysts in the financial sector. Popular employers Artificial Intelligence (AI) is the attempt to build artificial systems that have intelligent behaviour. We offer an integrated programme covering a wide spectrum of Informatics subject areas and taking you to a masters level qualification over five years.

To progress from Year 3 to Year 4 of the Bachelor's Honours degrees, you must achieve an overall mark in third year of 40 or more and pass at least 80 credits of courses at level 9 or 10 at the first attempt. Students on most Informatics degrees are required to take the following compulsory courses. If you are studying Cognitive Science or are on a joint degree, you will normally do a subset of these. Informatics Large Practical (20 credits) For unconditional progression to Year 2 you must pass 120 credits including all required Year 1 courses on your degree programme. UG1 deferred progression after the May exam dietYou will also attend classes in the Nucleus building at the King’s Buildings campus. The King’s Buildings campus is around 15 minutes by bus from the Central Campus. The Nucleus building is a new shared learning, teaching and social hub, built to a sustainable and environmentally efficient design.

IB: HL: Mathematics (Analysis and approaches only) at 6. Your Mathematics qualifications must have been achieved no more than two academic years prior to entry. SL: English at 5. Your exact curriculum depends on your chosen courses. Options offered in recent years include the following (and around 10 others): InfPALS is a peer support service for Year 1 students focusing on material covered in courses and also general topics related to informatics. You will learn about the design, implementation and engineering of digital computer systems. You will create programmes replicating the behaviour of a basic computer systems using the C programming language and assembly language. Discrete Mathematics and Probability (20 credits)In all other cases: you will not be allowed to progress to Year 2. If you are permitted to continue at the University, you must repeat Year 1 and make up the missing credits. You will be invited to a meeting with the School Progression Officer to discuss whether this programme is right for you, and if so which courses must be repeated. Other options may include transferring your existing credits to a different University whose degree emphasizes different aspects of computing. Each year you will have 120 credits worth of courses spread across two semesters. Some of these credits will go into compulsory courses and the remaining can be used on optional courses. Optional courses may be in schools outside the School of Informatics.

No one knows what it is like to study here more than the students themselves. You can read about our students’ experience and follow us on social media to learn more about studying in the School of Informatics. This degree is exactly the same as the Computer Science BSc. The choice of the BEng is available for students who come from countries where computer science is seen to be an engineering discipline rather than a science one.Our flagship MInf degree is an integrated programme that earns you a masters level qualification over five years. You will have access to computer laboratories in Appleton Tower and quality software support. You will also be able to use the University’s facilities, including libraries and common student spaces. You will be mostly based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building is located in the University's Central Campus area and provides purpose-built facilities and dedicated learning and teaching spaces. This course introduces you to a core set of knowledge, skills, ethical principles and ways of thinking that are needed for data science and machine learning using Python. The mathematics you studied in Year 1 and will study in Year 2 are instrumental in helping understand many of the statistical techniques used in this field. Introduction to Algorithms and Data Structures (20 credits)