BSc (Hons) Computer Science with Artificial Intelligence

3 Years On Campus Bachelors Program

University of Lincoln

Program Overview

 

If you’re excited about technology and the world of AI, the BSc (Hons) Computer Science with Artificial Intelligence at the University of Lincoln is perfect for you. This course gives you a solid foundation in computer science while diving into AI topics like machine learning, natural language processing, and robotics—preparing you for the tech careers of tomorrow.


Curriculum Structure

Year 1: Building the Foundations

In your first year, you’ll get to grips with the essentials of computer science. Modules like Foundations of Programming, Algorithms and Data Structures, and Computer Architectures teach you how to code, solve problems, and understand how computers work. Hands-on workshops make sure you not only learn the theory but also practice real coding skills.

Year 2: Diving Deeper into AI

Your second year focuses on expanding your knowledge and exploring AI in action. You’ll study modules such as Artificial Intelligence, Full Stack Development, and Natural Language Processing, giving you insight into intelligent systems and how they’re applied in the real world. Collaborative projects also help you gain teamwork experience, just like in a real tech job.

Year 3: Specialization and Independent Research

In your final year, you can focus on the areas of AI that interest you most. Modules like Machine Learning, Deep Learning, and Autonomous Mobile Robotics let you work with cutting-edge technology, and your individual project gives you the chance to research a topic you’re passionate about under expert guidance.


Focus Areas

Artificial Intelligence, Machine Learning, Natural Language Processing, Robotics, Deep Learning, Ethical AI


Learning Outcomes

You’ll finish the course confident in programming, problem-solving, AI techniques, data analysis, and understanding ethical considerations in AI systems.


Professional Alignment

The course is accredited by BCS, The Chartered Institute for IT, which means it meets professional standards and supports your career development in the IT industry.


Reputation

The University of Lincoln is known for putting employability first, making sure graduates leave ready for the tech industry.

Experiential Learning (Research, Projects, Internships etc.)

 

At Lincoln, learning goes far beyond lectures. From day one, you’ll get hands-on experience using industry-standard tools, working on real projects, and exploring cutting-edge technologies. The program is designed to make sure you don’t just learn the theory—you apply it, collaborate with peers, and develop the skills that employers are really looking for.

Here’s how you’ll gain practical experience:

  • High-Performance Computing Labs: Work on powerful PCs with Nvidia GPUs, perfect for running AI models, simulations, and complex computations.

  • Specialized Equipment: Experiment with Raspberry Pi devices, robots, and virtual reality gear like HTC Vive and Oculus Quest to bring your ideas to life.

  • Team Projects: Collaborate on software engineering and AI projects, just like you would in a real tech company.

  • Industry Certifications: Access opportunities to earn recognized certifications that boost your employability.

  • Robotics Research Facilities: Use the Lincoln Centre for Autonomous Systems, including robotics labs, a demonstration farm, and mobile/social robots for hands-on research.

  • Virtual Reality Systems: Develop and test applications in immersive VR environments with dedicated headsets and VR-ready computers.

  • Games Computing Labs: Create interactive applications with high-spec PCs, industry-standard software, and 3D modeling tools.

These experiences ensure that you graduate not just with knowledge, but with the confidence, skills, and portfolio to hit the ground running in the tech world.

Progression & Future Opportunities

 

Graduating from the BSc (Hons) Computer Science with Artificial Intelligence at Lincoln opens doors to exciting careers in tech. With strong skills in AI, machine learning, and software development, you could step straight into roles such as:

  • AI Developer

  • Machine Learning Engineer

  • Data Scientist

  • Software Engineer

These positions are in high demand across industries like healthcare, finance, robotics, and cybersecurity, giving you the flexibility to follow your passion.

Lincoln also gives you plenty of support to make the transition from student to professional seamless:

  • Careers and Employability Team: Offers one-to-one advice, workshops, CV clinics, and interview prep to boost your job prospects.

  • Industry Connections: Strong partnerships with companies like IBM, Google, Microsoft, and Accenture provide internship opportunities and pathways into employment.

  • Graduate Employability: Lincoln graduates consistently perform above the national average in employability stats, giving you an edge in the job market.

  • Professional Accreditation: The BCS accreditation means your degree meets industry standards and adds long-term value to your career.

  • Career-ready Skills: You’ll graduate with practical experience, project work, and certifications that employers value.

Further Academic Progression:

If you want to keep learning after your degree, Lincoln offers postgraduate pathways to deepen your expertise:

  • MSc Artificial Intelligence: Explore advanced AI techniques and cutting-edge technologies to prepare for innovative roles in industry.

  • MSc Robotics and Artificial Intelligence: Combines AI with robotics, perfect if you’re aiming for careers in manufacturing, healthcare, or autonomous systems.

These options let you specialize further and position yourself for senior roles or research opportunities in the tech world.

Program Key Stats

£16,900
£9,535
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

BCC - BBC
3.0
29
-

NA
NA
6.0
79

Additional Information & Requirements

Career Options

  • AI Developer
  • Machine Learning Engineer
  • Data Scientist
  • Software Engineer
  • Robotics Engineer
  • Natural Language Processing (NLP) Specialist
  • Computer Vision Engineer
  • AI Researcher
  • Cloud Solutions Architect
  • Big Data Analyst
  • Systems Analyst
  • and Cybersecurity Analyst

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