Enter OTP
4 Years On Campus Bachelors Program
University of SussexThis exciting degree brings together the best of computer science and artificial intelligence — with a full year of paid industry experience built in. It’s perfect for curious problem-solvers who want to understand how technology can think, adapt, and transform our world while building the skills that employers are looking for.
Curriculum structure
Year 1:
You’ll begin by mastering the essentials of computing and AI. Core modules such as Introduction to Programming, Data Structures and Algorithms, Introduction to Computer Systems, and Introduction to Cognitive Science: Minds, Machines and Consciousness will help you develop strong technical skills while exploring how machines process information and learn. You’ll also work on projects that build confidence in teamwork, logic, and professional communication.
Year 2:
In your second year, you’ll go deeper into intelligent systems and advanced programming. Modules in areas like Adaptive Behaviour, Intelligent Systems, and Robotics bring theory to life through hands-on problem-solving and experimentation. You’ll learn to design smart systems that can sense, reason, and act — preparing you for both your placement year and your future career.
Placement Year:
Your third year is your chance to step into the real world. You’ll complete a year-long paid placement with one of Sussex’s industry partners, applying your skills to real projects in areas like software development, AI research, or data analytics. It’s a unique opportunity to gain experience, make connections, and stand out in the job market.
Final Year:
Back on campus, you’ll take advanced modules and complete a major project in your area of interest — whether that’s Bio-inspired Computing, Text Mining, or another AI-driven field. This final year is about creativity and independence — you’ll bring everything together to design intelligent solutions for real-world challenges.
Focus areas:
Programming and algorithms, intelligent systems, machine learning, robotics, cognitive science, adaptive behaviour, AI applications, professional and research skills, real-world placement experience
Learning outcomes:
By the end of your degree, you’ll be able to design and evaluate intelligent systems, write efficient and scalable code, apply AI principles to real problems, and communicate your ideas clearly in both technical and professional settings. You’ll graduate ready for roles in AI development, data science, software engineering, or research.
Professional alignment (accreditation):
This degree is accredited by BCS, The Chartered Institute for IT, meeting the academic requirements for Chartered IT Professional status — a mark of quality recognised across the tech industry.
Reputation (employability rankings):
Sussex ranks among the top 20 UK universities for employer outcomes (QS 2025) and achieved 100% world-leading or internationally excellent research in Computer Science (REF 2021).
At Sussex, learning computer science and AI isn’t just about sitting in lectures — it’s about creating, experimenting, and solving real problems. From your first week, you’ll be coding in cutting-edge labs, working in teams, and using the same tools and technologies that drive innovation in the tech world. What makes this degree stand out is its hands-on approach — you’ll apply your knowledge in practical projects, collaborative environments, and even in a full-year industrial placement that lets you experience life in the tech industry before you graduate.
You’ll gain practical experience through every stage of your degree, supported by world-class facilities and real industry connections:
Future Technologies Labs – purpose-built computer science labs equipped with high-performance machines, advanced programming and modelling software, and dedicated spaces for coding, group projects, and experimentation.
Industrial Placement Year – spend your third year working in the tech sector, applying your skills in companies like IBM, Brandwatch, or Google. The Sussex Careers and Employability Centre helps you find placements that match your ambitions.
Collaborative Projects – modules such as Professional Skills, Data Structures & Algorithms, and your Final Year Project are built around teamwork and real-world problem-solving, helping you learn how to design, build, and test innovative AI-driven solutions.
Hackathons and Workshops – take part in coding challenges, game jams, and peer-led workshops that encourage creativity and help you build a professional portfolio.
Specialised Modules and Tools – explore areas like Neural Networks, Human–Computer Interaction, and Web 3D Applications using the latest software and development tools that mirror industry standards.
Graduates from this degree leave Sussex ready to step straight into exciting roles in the tech world. Thanks to the combination of strong academic foundations and a full-year industrial placement, you’ll graduate with both the knowledge and real-world experience that employers value. Typical career paths include Software Developer, Data Analyst, AI Researcher, or Systems Architect — all roles that let you shape the future of technology.
Here’s how Sussex helps you make it happen:
Careers and Employability Centre – personalised advice, CV workshops, interview prep, and guidance to help you land your first role.
Industrial Placement Year – a full year of paid, hands-on experience with leading companies, helping you build skills and professional connections.
Alumni Network – access to a global network of graduates who can offer mentorship and open doors to opportunities.
Graduate Success – 92.9% of Sussex graduates are employed or pursuing further study shortly after finishing their degree, with starting salaries around £30,700 and strong growth over the years.
University–Industry Partnerships – work with real companies like Brandwatch, BMW Group, Rolls-Royce Motor Cars, and Crunch, gaining insights and experience that give you a head start in your career.
Accreditation – the degree is accredited by BCS, The Chartered Institute for IT, meeting the standards for becoming a Chartered IT Professional, giving long-term professional recognition.
Further Academic Progression:
After completing this BSc, you can continue your studies to deepen your expertise or pivot to more specialised areas:
MSc in Artificial Intelligence and Adaptive Systems – explore advanced AI topics like machine learning and adaptive systems.
MSc in Data Science and Artificial Intelligence (Level 7 Apprenticeship) – combine academic learning with practical, workplace-based experience.
MSc in Project Management – prepare for leadership roles managing tech projects and teams.
These pathways allow you to specialise further, enhance your career prospects, and stay ahead in the fast-moving fields of computer science and AI.
IB - 32 points overall from the full IB Diploma.GCSE - At least grade 6 (B) in Mathematics (grade 5 considered if taking A-level Computer Science, Chemistry, Maths, or Physics) and a broad range of GCSEs at grades 9–4 (A*–C) in relevant subjects.IELTS - 6.0 overall, including at least 5.5 in each componentTOEFL iBT - 80 overall, including at least 17 in Listening, 18 in Reading, 20 in Speaking, 17 in Writing.India - Standard XII : 70–80% from most boards (CISCE, CBSE, Maharashtra HSC, Tamil Nadu, Karnataka, Telangana, Kerala, West Bengal) and around 80% for Andhra Pradesh, Bihar, and Gujarat boards.USA - High School Diploma with 3 good AP scores plus SAT 1300 or ACT 26.USA - AP test scores of 5, 4, 4 are accepted, or a combination of any 3 AP tests and/or SAT subject tests (600+ can substitute an AP test). College-level 3-credit courses may also count, and an Associate degree with a GPA of 3.0Software DeveloperAI ResearcherData AnalystSystems ArchitectMachine Learning EngineerRobotics EngineerCybersecurity AnalystData ScientistNatural Language Processing (NLP) SpecialistCloud Solutions ArchitectCognitive Systems DesignerIT ConsultantBusiness Intelligence AnalystHuman–Computer Interaction (HCI) SpecialistResearch Assistant in AI or Cognitive Science
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