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3 Years On Campus Bachelors Program
The University of SheffieldThe BSc in Computer Science (Artificial Intelligence) at the University of Sheffield is designed for students who are curious about how intelligent systems work and want to shape the future of technology. You’ll explore core computer science alongside AI-focused areas like machine learning, robotics, and natural language processing, gaining skills that are highly sought after in today’s tech-driven world.
Curriculum Structure:
Year 1:
In your first year, you’ll build a solid foundation in computer science, learning the essentials of programming, software development, and the mathematical concepts that underpin computing. Modules like Introduction to Software Engineering and Foundations of Computer Science give you the tools to start thinking like a problem-solving programmer.
Year 2:
Year two introduces more specialised AI topics, such as Machine Learning, Computer Vision, and Robotics. You’ll start applying your knowledge to real-world problems, developing practical skills while exploring how AI can make systems smarter and more responsive.
Year 3:
The final year allows you to focus on your personal interests within AI through optional modules and your individual dissertation project. This is your chance to dive deep into a topic you’re passionate about and create a substantial piece of research or development work that showcases your skills.
Focus Areas: Machine Learning, Robotics, Natural Language Processing, Computer Vision, Biologically Inspired Algorithms
Learning Outcomes: You’ll graduate with strong programming and problem-solving skills, a solid understanding of algorithms and data structures, experience in software engineering, and the ability to communicate effectively while thinking critically about AI solutions. You’ll also develop an awareness of professional and ethical considerations in computing.
Professional Alignment (Accreditation): Accredited by the British Computer Society (BCS), which supports progression towards Chartered IT Professional (CITP) status and partially meets Chartered Engineer (CEng) requirements.
Reputation (Employability Rankings): Sheffield has a strong reputation for graduate employability, with excellent industry links and a curriculum designed to meet the needs of today’s technology sector.
At Sheffield, learning goes far beyond lectures and textbooks. Students in the Computer Science (Artificial Intelligence) BSc program get plenty of opportunities to roll up their sleeves and apply what they’ve learned in real-world scenarios. From tackling live software projects for external clients to experimenting with robotics and AI systems in high-tech labs, you’ll gain hands-on experience that prepares you for a career in tech. Collaborative group projects and optional industrial placements ensure you build teamwork, communication, and professional skills alongside technical expertise.
Here’s how you’ll get practical, real-world experience:
Software Hut Project: Work with real clients on software development projects, gaining practical experience in problem-solving, coding, and client communication.
High-Spec Laboratories & Robotics Arena: Access cutting-edge computer labs and a dedicated robotics arena to experiment with AI systems, machine learning, and robotics in action.
iLab Innovation Hub: Use advanced hardware and software tools for projects in areas like computer vision and AI, pushing your technical skills further.
Genesys Solutions: Join a student-led software development group to work on real-world projects, boosting both experience and employability.
Industrial Placement Year: Take an optional year in industry to gain professional experience and see how AI and software development operate in the workplace.
Collaborative Group Projects: Work closely with peers on team projects, building essential teamwork, project management, and communication skills.
Graduating with a BSc in Computer Science (Artificial Intelligence) from the University of Sheffield opens up an exciting range of career paths. With solid skills in AI, machine learning, and software development, you could work as an AI Developer, Machine Learning Engineer, Data Scientist, or Robotics Engineer. These roles are in high demand across tech, healthcare, finance, and robotics industries, giving you plenty of options to shape your career.
Here’s how Sheffield supports you in making that leap:
Careers Service: Get personalised career advice, CV guidance, and interview preparation to help you stand out to employers.
Industrial Placement Year: Optional placements give you real-world professional experience before you graduate.
Genesys Solutions: A student-led software development group where you can work on real projects, boosting your employability.
Collaborative Projects: Team-based projects simulate industry scenarios, helping you build teamwork and project management skills.
Industry Partnerships: Connections with leading tech companies and research institutions give you opportunities for internships, placements, and collaborative projects.
Accreditation: The degree is accredited by the British Computer Society (BCS), supporting progression towards Chartered IT Professional (CITP) status — a strong credential for long-term career growth.
Further Academic Progression:
After completing the BSc, you can continue to specialise or advance your studies:
MSc in Artificial Intelligence: Deepen your expertise and engage in research projects.
MSc in Cybersecurity and Artificial Intelligence: Combine AI with cybersecurity skills for broader career opportunities.
PhD Opportunities: Pursue cutting-edge research in AI and related areas, opening doors in academia and industry.
These pathways allow you to build on your undergraduate degree, whether you aim for advanced roles in industry, research, or further academic study.
A Level - A*AA, including Maths; AAA, including Maths and Computer ScienceIB - 38, with 6 in Higher Level Maths; 36, with 6 in Higher Level Maths and Computer Science; 36, with 6 in Higher Level Maths, and A in a computer science-based extended essay; 34, with 6 in Higher Level Maths and 5 in Higher Level Computer Science, and A in a computer science-based extended essayGCSE English Language at grade 4/CIELTS - 6.5 overall with at least 6.0 in each componentTOEFL (iBT): 88 overall with a minimum of 19 in Listening, 20 in Reading, 22 in Speaking and 19 in WritingIndia – Standard XII Entry Requirements (All Boards): 90% (A*AA) or 85% (AAA); CBSE GPA: 9.0 (A*AA) or 9.0 (AAA)USA – AP Requirements: 555 from three AP exams plus High School Diploma with minimum GPA 3.0A placement year and study abroad options are available for this program.AI DeveloperMachine Learning EngineerData ScientistRobotics EngineerSoftware EngineerComputer Vision SpecialistNatural Language Processing (NLP) EngineerAI ResearcherData AnalystSystems ArchitectAutomation EngineerBusiness Intelligence Developerand AI Consultant
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