91快活林

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Top reasons to choose this course

• Gain a degree with professional accreditation from BCS – The Chartered Institute for IT, aligning your learning with industry benchmarks and supporting professional recognition.
• Specialise in AI from the ground up – build your core computer science knowledge – programming, systems, networks, databases – and combine it with AI approaches such as intelligent reasoning and machine learning.
• 91快活林’s thriving tech community – study in a city known for digital innovation, with opportunities to connect with local tech companies and attend events such as the UX 91快活林 Conference.
• Learn specialist technical skills – master programming, algorithms, data structures and software engineering, alongside advanced topics in AI, cyber security and cloud computing.
• Hands-on experience from day one – work on real-world projects using industry-standard tools and practices, including Agile development, version control and collaborative coding.
• Boost your CV with work experience opportunities – including an optional paid placement year, funded internships and employer-led projects.
• Learn in specialist facilities – train in our networking and cyber security labs, immersive UX spaces and software development suites equipped with modern technologies.
• Contribute to research and innovation – get involved in projects exploring AI, data analytics, human-computer interaction and emerging digital technologies.

Why 91快活林 is a great place to study Computer Science with Artificial Intelligence

91快活林 & Hove has a vibrant tech scene, from creative digital and UX studios to data, cloud and cyber security firms, offering meet-ups, internships and graduate roles. Studying here connects your projects to an active community and a city known for its innovation and start‑up culture.

Year 1 

Beginning with an introduction to computer science, you will study topics that cover programming, web development, databases, perspectives on computing, enabling technologies and an introduction to artificial intelligence.

In your first year your classes will be over three days each week and they will not start before 10am. You may have other activities on campus on other days.

Modules

• Introduction to Programming

  This is an entry-level programming module that will introduce you to the fundamental concepts and skills required to write simple programs in a high-level language. It will provide you with a basis of understanding from which to learn other programming languages and paradigms.

• Introduction to Cyber Security

  This module will provide you with an understanding of cyber security and privacy. You will also learn the skills and mechanisms needed to build and maintain secure information systems that can protect people, business and data from malicious attacks.

• Computing Technologies

  This module will give you an understanding of the basic principles underlying the architecture and operation of a computer system, including the storage and retrieval of data. Content covers computer organisation and architecture; computer arithmetic, binary and hexadecimal number systems; system software; software tooling; data storage and management; relational database implementation; and an introduction to Structured Query Language (SQL).

• Introduction to Artificial Intelligence

  During this module you will learn about the basic concepts of artificial intelligence (AI) and explore AI principles, techniques and technologies using real-world examples. You will look at areas including intelligent reasoning, problem-solving strategies, machine learning and applications of AI.

• Introduction to Web Development

  During this module you will explore a range of current web technologies and gain practical experience in designing, making and maintaining standards-compliant static and interactive web pages. You will be provided with your own space on the 91快活林 Domains web server on which to host and test web pages online.

• Working in the Computing Industry

  This module explores the professional roles and working practices in computing and business information technology (IT). You will learn employability skills such as how to plan and work in a group and as an individual and how to communicate using different media, as well as study skills like academic writing and referencing and how to find and use information to investigate a topic.

Making sure that what you learn with us is relevant, up to date and what employers are looking for is our priority, so courses are reviewed and enhanced on an ongoing basis. When you have applied to us, you’ll be told about any new developments through .

Year 2 

You will build on the foundation of your first year and develop your knowledge of algorithms and operating systems, alongside other key areas including intelligent systems and object-oriented software architecture, design and implementation. 

The university teaching hours are between 9am and 6pm. In year 2 the days and times you will need to be on campus will depend on a number of things including the option modules that you choose.

Modules

Core modules

• Intelligent Systems 1

  On this module you will learn the theory and the skills needed to develop AI applications to solve real-world problems and explore different AI techniques. Topics covered will include information filtering, text mining, knowledge representation, neural networks and data mining. A programming language, such as Python, will be used to demonstrate examples of AI applications.

• Object Oriented Development and Testing

  The module introduces you to an object-oriented approach to the development and testing of a software system. You’ll cover the specification, implementation, testing and documentation of object-oriented software systems.

• Intelligent Systems 2

  This module will help you understand AI techniques and mechanisms by using regression to predict outcomes from datasets. It covers a range of machine learning models and algorithms, including linear regression, decision trees, Bayesian reasoning, genetic algorithms, and clustering techniques. You will also learn the essential skills needed to develop AI applications.

• Integrated Group Project

  The group project is an opportunity to work as a group and run a software project to develop a usable software solution. You will bring together what you've learned so far and put this all into practice in a project environment through tasks from planning and management to requirements gathering, design, code and demonstrating the solution. 

• Data Structures and Operating Systems

  On this module you'll learn to recognise and understand standard data structures and algorithmic approaches to diverse problems so that you can make effective use of them in your own work. You will also be introduced to the basic facilities provided by modern operating systems to develop your understanding of one of the foundations of computer science. 

Options*

• Embedded Systems

  This module introduces the architecture of embedded computer systems. You will explore the fundamental concept of low-level processor functionality and develop your C and assembly language programming skills.

• Mobile Application Development

  This module introduces you to basic concepts, patterns and technologies used in building mobile applications. You will apply this knowledge in practical exercises involving the development of mobile user interfaces and applications, learning to work within the constraints of mobile platforms and also to exploit their possibilities.

*Option modules are indicative and may change, depending on timetabling and staff availability.

Placement year

You have the option of a year’s paid placement after your second year. Going on a placement builds confidence, can help you decide what how you want to specialise in your final year and strengthens your CV.

Our students have been on placement with companies including:

• Ash Gaming
• Siemans
• Met Police
• NATS
• ATOS

• Gatwick Airport
• Lighthouse Systems
• IBM
• AstraZeneca
• Ellen MacArthur Foundation
• EDF Energy
• 15below.

Learn more about placement opportunities at 91快活林.

Final year

In your final year, you consolidate what you have learned in a major computing project and will specialise in the subjects that interest you most by choosing option modules.

You'll have the opportunity to present your final year project at our Computing Degree Show, showcasing your work to industry professionals, employers and the wider public.

The show provides a platform to demonstrate your technical skills, creativity and innovation, while building valuable connections that can lead to graduate roles or further opportunities.

The university teaching hours are between 9am and 6pm. In your final year the days and times you will need to be on campus will depend on a number of things including the option modules that you choose.

Modules

Core modules

• Advanced Artificial Intelligence

  On this module you will examine current development in AI techniques and common issues that arise in real-world applications. You’ll develop an understanding of, and the skills needed to explore, advanced topics in AI such as logic, natural language processing (NLP) and speech and image recognition.

• Data Mining

  This module will help develop your understanding of data mining concepts and how they can be applied to solve real-world complex problems. You will explore areas including text mining, information extraction and information indexing, with specific algorithms and techniques for feature extraction.

• The Computing Project

  The Computing Project brings together everything you’ve learned during your degree in a major piece of work on a topic of your choosing. It’s your opportunity to put your understanding of theory into practice. All projects must include practical work of some sort using computing/IT technology. A series of workshops will support each step of the project process, from proposal to presentation. 

Options*

• Usability Evaluation

  On this module you will develop the knowledge and skills to perform a usability evaluation of a system or device – specifying requirements, choosing the best ways to evaluate usability and accessibility, planning and carrying out the evaluation and presenting the results. You’ll also explore the latest research in the broader field of evaluation. 

• Object Oriented Design and Architecture

  On this module you will explore the principles and standards of alternative object-oriented and component-based architectures and standards, and apply them as you develop an architectural design for a software system.

• Cyber Security and Intellectual Property Law

  You will evaluate key legal cyber security challenges during this module and explore how cyber security and intellectual property laws are used to protect the interests of developers of computer-related products. Topics will include the threat landscape and associated legal challenges; the legal framework regarding privacy, data protection and security in the UK and EU; and surveillance, forensic computing and the gathering of evidence.

• New Horizons in Computing

  This module gives you the opportunity to carry out independent, guided research into current trends and future innovations in computing technologies which you will be able to present to the local and wider computing industries. The module will also highlight the potential for, and the processes involved in, postgraduate studies.

• Programming Languages, Concurrency and Client Server Computing

  This module will prepare you to advise on issues arising from the design and implementation of systems that contain real-time and client server components. You will cover areas including the historical development of programming languages; programming paradigms; modern trends and developments in programming languages; and an overview of and mechanisms for achieving client-server computing.

• Advanced Mobile Application Development

  You will further develop your skills in designing and developing Android mobile applications during this module. You will conduct independent research in related topics and apply your knowledge to a project specifying, designing and developing an Android mobile app. 

*Option modules are indicative and may change, depending on timetabling and staff availability.

Discover how Computer Science with AI student Roland Matthews applied artificial intelligence to a real-world healthcare challenge in his final-year project.

Facilities for learning 

You'll benefit from access to a wide range of specialist facilities designed to support hands‑on, practical learning.

• Usability lab – equipped with advanced eye‑tracking technology to analyse how users interact with digital systems and improve user experience design.
• Security labs – including CISCO‑accredited cyber suites for developing secure and dependable software systems and understanding network protection.
• VR and digitisation lab – featuring Oculus Rift and HTC Vive headsets.
• 3D scanning and printing technologies – for immersive and interactive development.
• Reflectance Transformation Imaging (RTI) acquisition dome –supporting research and projects in digital imaging, visualisation and analysis.
• Simulation Suite – home to flight and car simulators using VR and motion platform technology, supporting real‑world modelling and testing.
• Specialist computing labs – dual‑boot Windows and Linux PCs with access to industry‑standard tools such as IntelliJ, Eclipse and Visual Studio Code, plus database systems including Microsoft SQL Server and MySQL.

Across these facilities, you’ll work with programming languages including Python, JavaScript, Java and C++ gaining practical experience with the tools, technologies and environments used in industry.

Course fees

This course offers a professional placement (sandwich) year in year 3. If you choose to take this placement you will pay a reduced fee during this year. For students starting their undergraduate degree in the 2026–27 academic year, the fee for the professional placement year is £1,958. This fee may be subject to small increases in line with inflation.

The course fees shown here are what you will pay for the first year of your course if you start in the academic year 2026–27 and you are studying full-time (fee amount is subject to parliamentary approval). You pay fees in each year of your course. The fees you pay may increase each year.

Regulated fees

Fees for UK students on undergraduate and some postgraduate courses are set by the UK government. These are known as regulated fees. From academic year 2026–27, regulated fees will increase annually in line with forecast inflation.

Student Finance England loans for tuition fees and maintenance will also rise in line with inflation.

If you are studying part-time your fee will usually be calculated based on the number of modules that you take.

Unregulated fees

Course fees for international students taking undergraduate courses and for most postgraduate courses are not regulated by the UK government. Unregulated fees may increase each year by up to 5% or the forecast Consumer Price Index (CPI) inflation (whichever is higher).

Find out more

• Fees, bursaries, scholarships and government funding info for UK and international undergraduate students
• Student finance and budgeting while studying
• Read our student contract and (pdf) for more on University of 91快活林 tuition fees.
• 91快活林 Boost – cost of living help for our new undergrad students. Find out about how we can help with your study, accommodation or travel costs and more.

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