Computer Science with Artificial Intelligence BSc (Hons)

3 Years On Campus Bachelors Program

Coventry University London

Program Overview

The MSci/BSc (Hons) in Computer Science with Artificial Intelligence at Coventry University is perfect for anyone excited by the possibilities of AI and modern computing. You’ll gain both a strong theoretical foundation and practical skills, giving you the confidence to tackle real-world problems and launch a career in AI, software development, or data science.


Curriculum Structure:

Year 1:
In your first year, you’ll get to grips with the fundamentals of computing. Modules like Programming: Concepts and Algorithms and Computer Systems teach you how software and hardware work together, while Mathematical Skills for Computing Professionals ensures you have the essential maths background for problem-solving in computing.

Year 2:
Year two builds on that foundation, taking you deeper into programming, algorithms, and software engineering. Modules such as Working with Data and Advanced Algorithms help you develop practical problem-solving skills, while you also explore more complex computer systems and how to create efficient, scalable software solutions.

Year 3:
By the third year, you’ll focus more on artificial intelligence and data science. Modules like Artificial Intelligence and Data Science give you hands-on experience with AI tools and techniques, and your individual project allows you to apply your learning to a real-world challenge—something that can really impress future employers.


Focus Areas: Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Computer Systems

Learning Outcomes: You’ll leave with strong programming skills, expertise in AI and data analysis, and the ability to design software solutions that solve real-world problems.

Professional Alignment: This course is closely aligned with industry needs, preparing you for careers in AI, software development, and data science.

Reputation: Coventry University is known for its focus on employability and strong industry links, giving graduates the edge when entering the job market.

Experiential Learning (Research, Projects, Internships etc.)

At Coventry University, studying Computer Science with Artificial Intelligence isn’t just about lectures and textbooks—you’ll get plenty of hands-on experience to really bring your learning to life. From working on real-world projects to exploring AI in dedicated labs, the program is designed to help you develop the practical skills that employers are looking for. You’ll also have access to cutting-edge software, group projects, and opportunities to connect with industry experts, giving you a real taste of the professional world.

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

  • Industry-Relevant Projects: Work on real software and AI projects, putting your skills into action and solving challenges like you would in a professional setting.

  • Specialized AI Labs: Use state-of-the-art laboratories equipped for AI research and development, where you can experiment and innovate.

  • Cutting-Edge Software Tools: Gain hands-on experience with industry-standard software and AI tools, so you’re job-ready from day one.

  • Group Projects: Collaborate with your peers on team-based projects, building your teamwork, communication, and project management skills.

  • Internships and Industry Links: Take advantage of internship opportunities to get a taste of working in the AI and computing industries.

  • Research Institutes: Work alongside research centers that focus on AI, contributing to exciting ongoing projects.

  • Library and Learning Resources: Access extensive library and digital resources to support both your studies and independent exploration.

With all of these experiences, you’ll graduate not just with knowledge, but with practical skills and confidence to step straight into a career in AI or computing.

Progression & Future Opportunities

Graduating with an MSci/BSc (Hons) in Computer Science with Artificial Intelligence from Coventry University opens doors to exciting careers in the fast-moving tech world. With your expertise in AI, machine learning, and software development, you could step into roles such as:

  • AI Developer

  • Data Scientist

  • Machine Learning Engineer

  • Software Engineer

These roles are in high demand across industries like technology, finance, healthcare, and research, giving you plenty of options to shape your career.

Coventry University also provides plenty of support to help you succeed in the job market:

  • Careers and Employability Service: Personalized career guidance, CV workshops, interview prep, and job search support.

  • Industry Partnerships: Opportunities to work with leading tech companies through internships and placements.

  • Professional Development: Access to career fairs, networking events, and talks from industry experts.

  • Graduate Outcomes: Many graduates secure employment within six months of finishing, with competitive starting salaries in AI and computing fields.

Further Academic Progression:

After finishing your degree, there are several ways to continue your studies and deepen your expertise:

  • Postgraduate Studies: Pursue a Master’s in AI, Data Science, Software Engineering, or related areas.

  • PhD Opportunities: Dive into advanced research and contribute to cutting-edge developments in AI.

  • Integrated Master’s Programs: Seamlessly transition into higher-level study to boost your qualifications and career prospects.

With these pathways, you can keep advancing your knowledge and stay ahead in the ever-evolving field of computer science and artificial intelligence.

Program Key Stats

£19,850
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

BBB
3.0
29
60

NA
NA
6.0
-

Additional Information & Requirements

Career Options

  • AI Developer
  • Data Scientist
  • Machine Learning Engineer
  • Software Engineer
  • Robotics Engineer
  • Business Intelligence Analyst
  • Data Analyst
  • AI Researcher
  • Natural Language Processing Specialist
  • Cloud Solutions Architect
  • Cybersecurity Analyst
  • Computer Vision Engineer
  • Systems Analyst
  • and Software Consultant

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