BSc (Hons) Computer Science with Artificial Intelligence

3 Years On Campus Bachelors Program

University of York

Program Overview

 

If you’re curious about how intelligent systems work and want to shape the future of AI, this program is for you. You’ll combine core computer science skills with hands-on AI training, exploring everything from coding and algorithms to machine learning and natural language processing.


Curriculum Structure

Year 1:
The first year builds your foundation in programming, mathematics, and computer systems. You’ll study modules like Foundations of Programming, Mathematics for Computer Science, and Computer Systems, giving you the essential skills to tackle more advanced topics later on.

Year 2:
In your second year, you’ll dive deeper into algorithms, data structures, and the principles behind AI. Modules such as Data Structures and Algorithms, Artificial Intelligence, and Software Engineering will help you design and develop more complex systems while thinking critically about problem-solving approaches.

Year 3:
Your final year is all about specialization and applying your knowledge. You’ll take modules like Machine Learning, Natural Language Processing, and Intelligent Systems, and complete a substantial individual project. This is your chance to work on something that excites you and showcase your skills to future employers.


Focus Areas

Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Intelligent Systems, Software Engineering, Data Structures and Algorithms


Learning Outcomes

By the end of the degree, you’ll be confident in programming, understand AI methods in depth, be able to design intelligent systems, and be aware of the ethical implications of AI in society.


Professional Alignment

The course is designed to prepare you for careers in AI development, data science, and other cutting-edge tech roles.


Reputation

The University of York is highly regarded for research and industry connections, giving its graduates strong employability prospects both in the UK and internationally.

Experiential Learning (Research, Projects, Internships etc.)

 

At York, you won’t just be sitting in lectures—you’ll be getting hands-on experience that brings your learning to life. From day one, you’ll work on real-world projects, explore advanced labs, and have opportunities to connect with industry through internships and collaborative initiatives. The program is designed so that everything you learn can be applied practically, helping you build the skills employers really value.

Here’s how you’ll gain that practical edge:

  • State-of-the-Art Labs: Work in software and hardware labs equipped for AI development, robotics, and computing experiments.

  • Research Centres: Get involved with pioneering work at places like the Centre for Assuring Autonomy and the Institute for Safe Autonomy.

  • Internships: Gain real-world experience through opportunities like the Summer Venables Internships in AI-focused projects.

  • Group Projects: Collaborate with fellow students on challenges that mirror real industry problems, boosting teamwork and problem-solving skills.

  • Industry Input: Learn from a curriculum shaped by advice from AI professionals to keep your skills relevant and cutting-edge.

  • High-Performance Computing Resources: Access advanced computing facilities for developing and testing AI applications.

These experiences are all about making sure you graduate confident, capable, and ready to take on the fast-moving world of AI.

Progression & Future Opportunities

 

Graduates from the BSc in Computer Science with Artificial Intelligence at York leave with the skills and confidence to step straight into exciting tech careers. Many go on to roles such as software engineer, data scientist, AI researcher, or systems architect, working across sectors like finance, healthcare, gaming, and government. Here’s how the university supports your journey from student to professional:

  • Careers and Employability Services: Personalized advice, CV workshops, and mock interviews to make sure you’re ready for the job market.

  • Industry Networking Events: Meet potential employers through career fairs, guest lectures, and workshops.

  • Internship Opportunities: Gain practical experience in AI and computer science projects to boost your employability.

  • Graduate Success Stats: Around 75% of graduates secure professional-level employment within six months, and roughly 17% go on to further study.

  • University–Industry Partnerships: Collaborations with companies like Amazon, BAE Systems, and IBM offer internships and project experience. You’ll also have opportunities to engage in research initiatives with industry partners.

  • Accreditation: The program is accredited by the British Computer Society (BCS), giving your degree long-term professional recognition.

  • Graduation Outcomes: You’ll graduate ready to design, build, and manage intelligent systems, with the practical experience and theoretical knowledge employers are looking for.

Further Academic Progression:

After your BSc, you can continue your studies to specialize further:

  • MSc in Artificial Intelligence: Take a deeper dive into advanced AI topics and research, enhancing your expertise.

  • PhD in Computer Science: For those aiming at academic research or highly specialized industry roles, a PhD allows you to contribute original knowledge to the field.

These options give you flexibility to either advance quickly in your career or deepen your expertise and pursue cutting-edge research.

Program Key Stats

£32,350
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

AAA
3.2
36
75 - 85

NA
NA
6.5
87

Additional Information & Requirements

Career Options

  • Software Engineer
  • Data Scientist
  • AI Researcher
  • Systems Architect
  • Machine Learning Engineer
  • Robotics Engineer
  • Natural Language Processing Specialist
  • Computer Vision Engineer
  • IT Consultant
  • Software Developer
  • Business Intelligence Analyst
  • AI Product Manager
  • Research Scientist in AI
  • Cybersecurity Analyst
  • Data Analyst

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