BSc (Hons) Computer Science with Artificial Intelligence

3 Years On Campus Bachelors Program

Buckinghamshire New University

Program Overview

 

This course is perfect if you’re excited about creating intelligent systems, analyzing data, and solving real-world tech challenges. You’ll dive into both the fundamentals of computer science and the latest in AI, making it ideal for curious problem-solvers who want to shape the future of technology.


Curriculum Structure

Year 1: Foundations of Computing and AI
In your first year, you’ll get to grips with the basics of programming, computer systems, and the mathematics that powers computing. Modules like Programming Fundamentals, Computer Systems, and Mathematics for Computing will give you the core skills you need, while also introducing you to AI concepts that will set you up for more advanced learning.

Year 2: Building Skills and Applying Knowledge
The second year focuses on taking your skills to the next level. You’ll study Data Structures and Algorithms, Database Systems, and Artificial Intelligence Techniques, giving you hands-on experience in tackling real-world problems. Practical projects will let you apply your learning and start developing solutions that could have real impact.

Year 3: Specialization and Career Preparation
In your final year, you can specialize in exciting areas like Machine Learning, Robotics, and Natural Language Processing. Your Individual Project lets you dive deep into a topic you’re passionate about, giving you a chance to showcase your skills and prepare for a career in AI or tech.


Focus Areas

Artificial Intelligence, Machine Learning, Data Analysis, Robotics, Natural Language Processing, Neural Networks, Cloud Computing, Cybersecurity


Learning Outcomes

You’ll graduate with the ability to design and build intelligent systems, analyze complex data, and apply AI techniques to real problems. You’ll also gain strong programming skills and a solid understanding of computer science principles that employers value.


Professional Alignment

The course is designed to match industry standards and can help you prepare for professional certifications in areas like cloud computing and cybersecurity. This ensures you leave university ready for the tech industry.


Reputation

Buckinghamshire New University is known for putting employability first, with strong industry connections to help you get ahead. This program equips you with the skills that employers are looking for in the fast-moving world of AI and computing.

Experiential Learning (Research, Projects, Internships etc.)

 

At Bucks, learning isn’t just about lectures and textbooks — you’ll get plenty of hands-on experience that brings your skills to life. From day one, you’ll work with real AI tools and software, take part in collaborative projects, and explore ideas in modern labs designed for research and innovation. These experiences are built to make sure you’re not just learning theory but also applying it in ways that matter in the real world:

Highlights of Experiential Learning:

  • MATLAB and Jason Software – Use industry-standard tools to model, simulate, and build AI solutions.

  • Collaborative Group Projects – Team up with peers on practical challenges, improving your teamwork and problem-solving skills.

  • Specialized AI and Computing Labs – Explore and experiment in dedicated spaces equipped for cutting-edge research.

  • Computing and AI Research Centre – Contribute to ongoing projects and gain insight into real-world AI applications.

  • Industry Links and Internships – Get exposure to the tech industry with work experience opportunities and professional collaborations.

These experiences ensure that by the time you graduate, you’ll have the confidence, skills, and practical know-how to make an immediate impact in AI and computing careers.

Progression & Future Opportunities

 

Graduates from this program leave university ready to step into exciting tech careers. You could work as an AI Developer, building intelligent systems, a Data Analyst, turning complex data into clear insights, a Machine Learning Engineer, designing algorithms that learn and adapt, or a Software Engineer, creating applications that solve real problems. The hands-on skills and industry experience you gain at Bucks give you the confidence to make an immediate impact in the workplace:

Opportunities and Support at Bucks:

  • Career Development Centre – Personalized career advice, CV workshops, and interview coaching to help you land your first role.

  • Industry Partnerships – Collaborations with leading tech companies give you insights, networking opportunities, and exposure to real-world practices.

  • Internships and Work Placements – Gain valuable experience in professional settings that employers truly value.

  • Graduate Employability – Bucks ranks highly for graduate employment, with 98% of graduates moving into work or further study shortly after finishing.

  • Accreditation and Professional Value – The program aligns with industry standards, boosting your credentials and credibility in the tech sector.

Further Academic Progression:

Once you finish your degree, there are plenty of options to take your learning further. You could go on to an MSc in Artificial Intelligence to deepen your AI skills, an MSc in Data Science to specialize in data analysis, or an MSc in Software Engineering to focus on advanced software development. Postgraduate study can open doors to more senior roles, specialized careers, or even research opportunities.

Program Key Stats

£15,150
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

CCD - BBC
2.8
22 - 28
65

NA
NA
6.0
80

Additional Information & Requirements

Career Options

  • AI Developer
  • Machine Learning Engineer
  • Data Analyst
  • Software Engineer
  • Robotics Programmer
  • Natural Language Processing Specialist
  • Computer Vision Engineer
  • Cybersecurity Analyst
  • Cloud Solutions Architect
  • Research Scientist in AI
  • Business Intelligence Developer
  • AI Consultant
  • Automation Engineer
  • Systems Designer
  • AI Product Manager

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