BSc (Hons) Computer Science with Artificial Intelligence Bachelor's degree at the University of Brighton

Entry-level programming module that introduces fundamental concepts and skills required to write simple programs in a high-level language. Provides basis of understanding for learning other programming languages and paradigms.

Provides understanding of cyber security and privacy. Learn skills and mechanisms needed to build and maintain secure information systems that protect people, business and data from malicious attacks.

Gives understanding of basic principles underlying architecture and operation of computer systems, including storage and retrieval of data. Covers computer organisation and architecture; computer arithmetic, binary and hexadecimal number systems; system software; software tooling; data storage and management; relational database implementation; and introduction to SQL.

Covers basic concepts of AI and explores AI principles, techniques and technologies using real-world examples. Includes intelligent reasoning, problem-solving strategies, machine learning and applications of AI.

Explores range of current web technologies with practical experience in designing, making and maintaining standards-compliant static and interactive web pages. Includes own space on Brighton Domains web server.

Explores professional roles and working practices in computing and business IT. Covers employability skills including planning and group work, communication using different media, academic writing and referencing, and information investigation.

Learn theory and skills needed to develop AI applications to solve real-world problems. Topics include information filtering, text mining, knowledge representation, neural networks and data mining. Uses Python to demonstrate AI application examples.

Introduces object-oriented approach to development and testing of software systems. Covers specification, implementation, testing and documentation of object-oriented software systems.

Helps understand AI techniques and mechanisms using regression to predict outcomes from datasets. Covers machine learning models and algorithms including linear regression, decision trees, Bayesian reasoning, genetic algorithms, and clustering techniques.

Opportunity to work as a group and run a software project to develop a usable software solution. Brings together learning and applies it in project environment through planning, management, requirements gathering, design, code and demonstration.

Learn to recognise and understand standard data structures and algorithmic approaches to diverse problems. Introduction to basic facilities provided by modern operating systems.

Introduces architecture of embedded computer systems. Explore fundamental concept of low-level processor functionality and develop C and assembly language programming skills.

Introduces basic concepts, patterns and technologies used in building mobile applications. Practical exercises in developing mobile user interfaces and applications, working within constraints and exploiting possibilities of mobile platforms.

Examines current development in AI techniques and common issues in real-world applications. Develops understanding and skills to explore advanced topics including logic, natural language processing (NLP) and speech and image recognition.

Develops understanding of data mining concepts and application to real-world complex problems. Explores text mining, information extraction and information indexing with specific algorithms and techniques for feature extraction.

Brings together everything learned during degree in major piece of work on topic of choosing. Opportunity to put understanding of theory into practice. All projects must include practical work using computing/IT technology. Includes workshop support from proposal to presentation.

Develop knowledge and skills to perform usability evaluation of a system or device. Covers specifying requirements, choosing evaluation methods, planning and carrying out evaluation, and presenting results. Explores latest research in evaluation.

Explores principles and standards of alternative object-oriented and component-based architectures and standards. Apply them in developing architectural design for a software system.

Evaluate key legal cyber security challenges and explore how cyber security and intellectual property laws protect interests of computer-related product developers. Topics include threat landscape and legal challenges; privacy, data protection and security frameworks in UK and EU; surveillance, forensic computing and evidence gathering.

Opportunity to carry out independent, guided research into current trends and future innovations in computing technologies to present to local and wider computing industries. Highlights potential for and processes involved in postgraduate studies.

Prepare to advise on issues from design and implementation of systems containing real-time and client server components. Covers historical development of programming languages; programming paradigms; modern trends and developments; and mechanisms for achieving client-server computing.

Further develop skills in designing and developing Android mobile applications. Conduct independent research in related topics and apply knowledge to project specifying, designing and developing an Android mobile app.