BEng (Hons) Robotics and Artificial Intelligence

3 Years On Campus Bachelors Program

University of Hertfordshire

Program Overview

 

If you’re fascinated by robots and the idea of machines that can think, this degree is made for you. The BEng (Hons) Robotics and Artificial Intelligence at the University of Hertfordshire combines hands-on engineering with smart AI technologies, giving you the skills to build intelligent machines that can solve real-world problems.


Curriculum Structure

Year 1: Foundations of Robotics and AI

In your first year, you’ll get a solid grounding in the basics. Modules like Introduction to Robotics, Programming for Engineers, and Mathematics for Engineers will help you understand how robots work and how to make them move and respond. Practical lab sessions let you put theory into action right away, so you’ll start building and experimenting from day one.

Year 2: Intermediate Concepts and Applications

Year two is where things start to get more exciting. You’ll explore Control Systems, Artificial Intelligence Techniques, and Embedded Systems, learning how to make robots smarter and more responsive. You’ll also start integrating sensors and AI to create machines that can think for themselves in controlled environments.

Year 3: Advanced Topics and Specialisation

In your final year, you can focus on the areas that interest you most. Courses like Machine Learning for Robotics, Robotic Vision, and Autonomous Systems let you dive into cutting-edge tech. Plus, your major individual project gives you the chance to design and build your own intelligent system, showing off all the skills you’ve developed over the degree.


Focus Areas

Robotic system design, AI algorithms, machine learning, autonomous vehicles, embedded systems, control systems engineering


Learning Outcomes

By the end of this degree, you’ll be able to design and program intelligent robots, apply AI to solve real-world challenges, and work independently on complex engineering projects.


Professional Alignment

The course is accredited by the Institution of Engineering and Technology (IET), which means it meets the professional standards needed for Chartered Engineer (CEng) recognition—a big plus for your future career.


Reputation

Hertfordshire is known for putting employability first. With excellent facilities, strong links to industry, and practical-focused teaching, graduates are well-prepared to step straight into the robotics and AI job market.

Experiential Learning (Research, Projects, Internships etc.)

 

At Hertfordshire, this Robotics and AI degree is all about learning by doing. From your very first year, you’ll get hands-on experience building and programming robots, experimenting with AI, and testing real-world systems. The program is designed around the CDIO (Conceive, Design, Implement, Operate) approach, meaning you don’t just study theory—you actually apply it. You’ll have access to top-notch labs, the latest software, and plenty of opportunities to work on projects that mirror what engineers do in the real world.

Here are some of the ways you’ll gain practical experience:

  • Robot Design and Build Projects: Work in teams to plan, build, and operate your own robotic systems.

  • Embedded Systems and Microcontrollers: Learn to integrate sensors and actuators to bring robots to life.

  • Industry-Standard Software: Use tools like MATLAB, Simulink, and ROS (Robot Operating System) to model, simulate, and control your robots.

  • Specialist Laboratories: Access cutting-edge labs for testing and refining your projects, including calibration labs and clean rooms.

  • Collaborative Group Projects: Work with other students across disciplines, honing teamwork and communication skills.

  • Industry Placements: Take advantage of strong links with companies like Airbus, Rolls-Royce, Apple, and Microsoft to gain real-world experience.

  • Research Centres and Innovation Hubs: Collaborate with experts and explore innovative AI and robotics solutions.

Progression & Future Opportunities

 

Graduating with a BEng in Robotics and Artificial Intelligence from Hertfordshire opens the door to exciting careers where you can put your skills to work in the real world. Many of our graduates go on to roles such as Robotics Engineer, AI/Machine Learning Engineer, Data Scientist, or Computer Vision Engineer, applying their knowledge to cutting-edge technology and solving real-world challenges. With strong industry links and hands-on experience, you’ll be ready to step straight into your chosen career:

  • University Career Support: The Careers and Employment team is here to help you every step of the way, offering CV workshops, mock interviews, and guidance on finding the perfect job or internship.

  • Industry Placements: Take advantage of placement opportunities with leading companies like Microsoft, Rolls-Royce, and Apple to gain real-world experience and build your professional network.

  • Graduate Outcomes: Around 93.5% of Hertfordshire graduates are employed or in further study within 15 months of finishing their degree.

  • Professional Accreditation: The course is accredited by the Institution of Engineering and Technology (IET), which counts towards Chartered Engineer (CEng) status—an excellent boost for your career.

  • Industry Connections: Thanks to partnerships and events with top tech companies, you’ll have opportunities to network, attend recruitment fairs, and stay connected with the industry.

Further Academic Progression:
If you want to take your learning further, you can continue with postgraduate study. Options include:

  • MSc Artificial Intelligence and Robotics – dive deeper into advanced AI techniques and robotics research.

  • MSc Advanced Computer Science – expand your knowledge in areas like machine learning, data analytics, and computational systems.

  • PhD Research – for those aiming at cutting-edge research or an academic career in AI and robotics.

Program Key Stats

£17,450
£9,535
£ 29
Sept Intake : 14th Jan


73 %
Yes

Eligibility Criteria

BBB - ABB
3.0
30 - 32
65

NA
NA
6.0
72

Additional Information & Requirements

Career Options

  • Robotics Engineer
  • AI/Machine Learning Engineer
  • Data Scientist
  • Computer Vision Engineer
  • Automation Engineer
  • Embedded Systems Engineer
  • Control Systems Engineer
  • Research and Development Engineer
  • Mechatronics Engineer
  • Software Developer for Robotics
  • Autonomous Systems Engineer
  • Industrial AI Consultant
  • Robotics Technician
  • AI Solutions Architect

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