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Robots are transforming the world. From disrupting manufacturing to planting and harvesting crops, serving food to our tables, performing surgeries, and even providing care for our loved ones, they are changing the way we live and work. Rather than replacing us, robots are redefining what’s possible. By embracing artificial intelligence, humans and robots can work together to tackle the global challenges we are facing now and in the future.
Our new Robotics Engineering with Artificial Intelligence (AI) degree will equip you with the confidence, creativity, and expertise to create new products for our rapidly changing world. This course goes beyond traditional engineering, incorporating hardware and software to solve complex engineering problems.
In your first year, you’ll build a strong foundation of engineering mechanics, electronics, programming and rapid prototyping, which you’ll bring together through a group ‘sprint’ project. As you advance, you’ll work in teams to create cyber-physical artefacts. These are virtual models which enable you to test and refine before applying them in the physical world. In your third year you will undertake an individual project.
To ensure you are career-ready when you graduate, we take a problem-based approach to learning that reflects professional engineering practice. You’ll gain hands-on experience while developing the practical and problem-solving skills employers value. You'll also master modern technologies such as AI, automation, robotics, and computer-aided systems. We’ll give you the tools you need – theoretical, practical and professional, to work in or lead interdisciplinary engineering teams in the workplace.
We’ve designed this course to meet the needs of the engineering industry, and as such, industry experts have worked with us to shape the course content. We’ll also use industry-relevant assignments to assess your technical knowledge and problem-solving skills. This will enhance your employability by allowing you to demonstrate your value to industry while also providing opportunities to develop your professional networks.
This course sits within WMG at the University of Warwick, meaning you’ll have access to well-equipped labs and facilities for practical and project work. Relevant to your third-year individual project, you may have the opportunity to experience industrial-scale equipment and state-of-the-art simulation activities.
You’ll also be able to engage with WMG's latest research in related fields such as Automation Systems and Robotics, Visualisation, Intelligent Vehicles, Data Science, Cyber Security, Connectivity, AI and Autonomous Systems. WMG’s applied and active research is led by experts who are delivering the technologies and knowledge to transform industry and society. Engaging with research will provide context to your studies and prepare you for employment after graduation.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
Robots are transforming the world. From disrupting manufacturing to planting and harvesting crops, serving food to our tables, performing surgeries, and even providing care for our loved ones, they are changing the way we live and work. Rather than replacing us, robots are redefining what’s possible. By embracing artificial intelligence, humans and robots can work together to tackle the global challenges we are facing now and in the future.
Our new Robotics Engineering with Artificial Intelligence (AI) degree will equip you with the confidence, creativity, and expertise to create new products for our rapidly changing world. This course goes beyond traditional engineering, incorporating hardware and software to solve complex engineering problems.
In your first year, you’ll build a strong foundation of engineering mechanics, electronics, programming and rapid prototyping, which you’ll bring together through a group ‘sprint’ project. As you advance, you’ll work in teams to create cyber-physical artefacts. These are virtual models which enable you to test and refine before applying them in the physical world. In your third year you will undertake an individual project.
To ensure you are career-ready when you graduate, we take a problem-based approach to learning that reflects professional engineering practice. You’ll gain hands-on experience while developing the practical and problem-solving skills employers value. You'll also master modern technologies such as AI, automation, robotics, and computer-aided systems. We’ll give you the tools you need – theoretical, practical and professional, to work in or lead interdisciplinary engineering teams in the workplace.
We’ve designed this course to meet the needs of the engineering industry, and as such, industry experts have worked with us to shape the course content. We’ll also use industry-relevant assignments to assess your technical knowledge and problem-solving skills. This will enhance your employability by allowing you to demonstrate your value to industry while also providing opportunities to develop your professional networks.
This course sits within WMG at the University of Warwick, meaning you’ll have access to well-equipped labs and facilities for practical and project work. Relevant to your third-year individual project, you may have the opportunity to experience industrial-scale equipment and state-of-the-art simulation activities.
You’ll also be able to engage with WMG's latest research in related fields such as Automation Systems and Robotics, Visualisation, Intelligent Vehicles, Data Science, Cyber Security, Connectivity, AI and Autonomous Systems. WMG’s applied and active research is led by experts who are delivering the technologies and knowledge to transform industry and society. Engaging with research will provide context to your studies and prepare you for employment after graduation.
Admission Requirements
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Robotics Engineering with Artificial Intelligence
WMG, University of Warwick, Coventry, GB, Coventry, United Kingdom
12 monthsProgramme duration
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
Robots are transforming the world. From disrupting manufacturing to planting and harvesting crops, serving food to our tables, performing surgeries, and even providing care for our loved ones, they are changing the way we live and work. Rather than replacing us, robots are redefining what’s possible. By embracing artificial intelligence, humans and robots can work together to tackle the global challenges we are facing now and in the future.
Our new Robotics Engineering with Artificial Intelligence (AI) degree will equip you with the confidence, creativity, and expertise to create new products for our rapidly changing world. This course goes beyond traditional engineering, incorporating hardware and software to solve complex engineering problems.
In your first year, you’ll build a strong foundation of engineering mechanics, electronics, programming and rapid prototyping, which you’ll bring together through a group ‘sprint’ project. As you advance, you’ll work in teams to create cyber-physical artefacts. These are virtual models which enable you to test and refine before applying them in the physical world. In your third year you will undertake an individual project.
To ensure you are career-ready when you graduate, we take a problem-based approach to learning that reflects professional engineering practice. You’ll gain hands-on experience while developing the practical and problem-solving skills employers value. You'll also master modern technologies such as AI, automation, robotics, and computer-aided systems. We’ll give you the tools you need – theoretical, practical and professional, to work in or lead interdisciplinary engineering teams in the workplace.
We’ve designed this course to meet the needs of the engineering industry, and as such, industry experts have worked with us to shape the course content. We’ll also use industry-relevant assignments to assess your technical knowledge and problem-solving skills. This will enhance your employability by allowing you to demonstrate your value to industry while also providing opportunities to develop your professional networks.
This course sits within WMG at the University of Warwick, meaning you’ll have access to well-equipped labs and facilities for practical and project work. Relevant to your third-year individual project, you may have the opportunity to experience industrial-scale equipment and state-of-the-art simulation activities.
You’ll also be able to engage with WMG's latest research in related fields such as Automation Systems and Robotics, Visualisation, Intelligent Vehicles, Data Science, Cyber Security, Connectivity, AI and Autonomous Systems. WMG’s applied and active research is led by experts who are delivering the technologies and knowledge to transform industry and society. Engaging with research will provide context to your studies and prepare you for employment after graduation.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
Robots are transforming the world. From disrupting manufacturing to planting and harvesting crops, serving food to our tables, performing surgeries, and even providing care for our loved ones, they are changing the way we live and work. Rather than replacing us, robots are redefining what’s possible. By embracing artificial intelligence, humans and robots can work together to tackle the global challenges we are facing now and in the future.
Our new Robotics Engineering with Artificial Intelligence (AI) degree will equip you with the confidence, creativity, and expertise to create new products for our rapidly changing world. This course goes beyond traditional engineering, incorporating hardware and software to solve complex engineering problems.
In your first year, you’ll build a strong foundation of engineering mechanics, electronics, programming and rapid prototyping, which you’ll bring together through a group ‘sprint’ project. As you advance, you’ll work in teams to create cyber-physical artefacts. These are virtual models which enable you to test and refine before applying them in the physical world. In your third year you will undertake an individual project.
To ensure you are career-ready when you graduate, we take a problem-based approach to learning that reflects professional engineering practice. You’ll gain hands-on experience while developing the practical and problem-solving skills employers value. You'll also master modern technologies such as AI, automation, robotics, and computer-aided systems. We’ll give you the tools you need – theoretical, practical and professional, to work in or lead interdisciplinary engineering teams in the workplace.
We’ve designed this course to meet the needs of the engineering industry, and as such, industry experts have worked with us to shape the course content. We’ll also use industry-relevant assignments to assess your technical knowledge and problem-solving skills. This will enhance your employability by allowing you to demonstrate your value to industry while also providing opportunities to develop your professional networks.
This course sits within WMG at the University of Warwick, meaning you’ll have access to well-equipped labs and facilities for practical and project work. Relevant to your third-year individual project, you may have the opportunity to experience industrial-scale equipment and state-of-the-art simulation activities.
You’ll also be able to engage with WMG's latest research in related fields such as Automation Systems and Robotics, Visualisation, Intelligent Vehicles, Data Science, Cyber Security, Connectivity, AI and Autonomous Systems. WMG’s applied and active research is led by experts who are delivering the technologies and knowledge to transform industry and society. Engaging with research will provide context to your studies and prepare you for employment after graduation.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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