Showing content for section Overview
Overview
Build and train smart machines to solve problems and perform tasks without human intervention. In this Robotics and Artificial Intelligence degree, you’ll focus on the practical use of automation and machine learning, enhancing efficiency in an automated Industry 4.0 world.
You’ll build your programming skills, apply the algorithms underlying machine learning, and design physical robot systems to solve problems drawn from industry. As you explore the moral and mathematical issues in the field, you’ll understand ways that AI and robotics can be used responsibly for innovation in sectors such as manufacturing, government, research and power generation.
Through practical work with robotics kits and AI tools in computing labs, you’ll get to grips with the sector’s professional tools. You’ll have the opportunity to visit industry partners, through field trips or a work placement, and draw on up-to-the-minute research in this vibrant sector.
Course highlights
- Study an industry revolutionising work and life, with an ethical focus on practical innovation
- Engage with the latest research and active industry issues
- Have access to cutting-edge facilities and industry collaborations
- Specialise in the aspects of robotics and artificial intelligence that most appeal to you, from manufacturing and medical innovation to autonomous vehicles and assistive robotics
Top 30
for student satisfaction
(Times Higher Education, 2024)
Contact information
Contact AdmissionsEntry requirements
BEng (Hons) Robotics and Artificial Intelligence degree entry requirements
Typical offers
- 112-120 points from 2 or 3 A levels, or equivalent, to include a relevant subject.
English language requirements
- English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
We also accept other standard English tests and qualifications, as long as they meet the minimum requirements of your course.
If you don't meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
We look at more than just your grades
While we consider your grades when making an offer, we also carefully look at your circumstances and other factors to assess your potential. These include whether you live and work in the region and your personal and family circumstances which we assess using established data.
Careers and opportunities
With technology advancing rapidly, and government initiatives endorsing the possibilities of AI and robotics, you’ll graduate from this degree with your knowledge and skills in high demand. You’ll also have demonstrable expertise of industry tools and methods from your study of live issues, and potentially your placement year.
Job roles
Depending on what you specialise in during your degree, your options for future roles may include:
- Robotics Engineer: Design, build, and maintain robots for various applications, such as manufacturing, healthcare, or research.
- AI/Machine Learning Engineer: Develop algorithms and machine learning models for AI applications, including natural language processing, computer vision, and data analysis.
- Data Scientist: Analyse complex datasets to inform business decision-making and develop predictive models using AI and machine learning techniques.
- Computer Vision Engineer: Specialise in creating algorithms and systems that enable computers to interpret and understand visual information from the world, essential for applications like facial recognition and autonomous vehicles.
- Natural Language Processing (NLP) Engineer: Work on algorithms and technologies that enable computers to understand, interpret, and generate human language, used in applications like chatbots and language translation.
- Robotics Process Automation (RPA) Developer: Design and implement software robots that automate repetitive tasks within organisations, improving efficiency and productivity.
- AI Ethics Consultant: Address ethical considerations related to AI and robotics technologies, ensuring responsible development and deployment of these technologies.
- AI Product Manager: Manage the development of AI-powered products, from conceptualisation to market launch, coordinating between technical teams and business stakeholders.
Modules
What you'll study
All modules in this year are core.
- Mathematical Principles
- Introduction to Programming
- Introduction to Analogue Circuits
- Principles of Digital Systems
- Introduction to Robotic Systems
- Programmable Logic Controller
All modules in this year are core.
- Group Design Project
- Innovation and Enterprise
- Fundamentals of Control and Instrumentation
- Electric Machines
- Decision Making and Robot Kinematics
- Microcontroller and Programmable Logic
Core modules
- Individual Project
- Real-time Embedded Systems
- Artificial Intelligence in Robotics Applications
- Applied Signal Processing and Data Analysis
Optional modules
- Sensing and Perception in Autonomous Robotics
- Control Systems Design
Changes to course content
We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.
Therefore, some course content may change over time to reflect changes in the discipline or industry. If a module doesn't run, we'll let you know as soon as possible and help you choose an alternative module.
Costs and funding
Funding your studies
Find out how to fund your studies, including the scholarships and bursaries you could get. You can also find more about tuition fees and living costs, including what your tuition fees cover.
Applying from outside the UK? Find out about funding options for international students.
Tuition fees
- UK/Channel Islands and Isle of Man students – £9,250 per year (may be subject to annual increase)
- EU students – £9,250 a year (including Transition Scholarship – may be subject to annual increase)
- International students – £20,200 per year (subject to annual increase)
Apply
How to apply
To start this course in 2025, apply through UCAS. You'll need:
- the UCAS course code – H671
- our institution code – P80
If you'd prefer to apply directly, use our online application form.
You can also sign up to an Open Day to:
- Tour our campus, facilities and halls of residence
- Speak with lecturers and chat with our students
- Get information about where to live, how to fund your studies and which clubs and societies to join
If you're new to the application process, read our guide on applying for an undergraduate course.
Applying from outside the UK
As an international student you'll apply using the same process as UK students, but you’ll need to consider a few extra things.
You can get an agent to help with your application. Check your country page for details of agents in your region.
Find out what additional information you need in our international students section.
If you don't meet the English language requirements for this course yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Admissions terms and conditions
When you accept an offer to study at the University of Portsmouth, you also agree to abide by our Student Contract (which includes the University's relevant policies, rules and regulations). You should read and consider these before you apply.