Artificial Intelligence and Robotics (with integrated year in industry)

Program Overview

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Artificial Intelligence and Robotics (with integrated year in industry)

Key Facts

• UCAS Tariff: 120 - 96
• Course duration: 4 years
• Available for September start 2025

Course Overview

Artificial Intelligence and Robotics, at Aberystwyth University, involves the development of artificial systems, and is becoming increasingly relevant in commercial and domestic life. Examples of current and emerging artificial systems include home robots (for entertainment or assisting those with special needs), supply chain management systems, robots used in medical practice, robots in space, on land and at sea. Researchers from Aberystwyth have been active in all these areas. You will grasp the fundamentals of Artificial Intelligence and Robotics, in a supportive learning environment, with the opportunity to jump start your career with your Integrated Year in Industrial and Professional Training.

Modules

Year 1

• Fundamentals of Web Development (CS11010, 10 credits)
• Information security (CS11110, 10 credits)
• Introduction to Computer Infrastructure (CS10220, 20 credits)
• Introduction to Programming (CS12020, 20 credits)
• Problems and Solutions (CS10720, 20 credits)
• Programming Using an Object-Oriented Language (CS12320, 20 credits)
• Study Skills for Computer Science (CS18120, 20 credits)

Year 2

• Algorithm Design and Data Structures (CS21120, 20 credits)
• Artificial Intelligence (CS26520, 20 credits)
• C and C++ (CS23820, 20 credits)
• Modelling Persistent Data (CS27020, 20 credits)
• Robotics and Embedded Systems (CS26020, 20 credits)
• Software Engineering (CS22120, 20 credits)

Year 3

• Sandwich Year (CSS0060, 60 credits)

Year 4

• Major Project (CS39440, 40 credits)
• Professional Issues in the Computing Industry (CS38220, 20 credits)
• Robotic Applications (CS36010, 10 credits)
• Space Robotics (CS36510, 10 credits)
• Fundamentals of Machine Learning (CS36110, 10 credits)
• Machine Learning (CS36220, 20 credits)

Careers

Our degree prepares you for a variety of careers:

• software design
• communications and networking
• computer applications
• web development
• IT consultancy and management
• systems analysis and development
• education.

Teaching & Learning

Our enthusiastic staff will teach you through the medium of lectures, seminars, tutorials, practicals and individual/ group based project work.

• You will be assessed through a combination of coursework, practicals, projects, workshops and examinations
• You will be assigned a personal tutor throughout your degree course, who will help you with any problems or queries, whether these are academic-related or personal issues. You should feel free to contact them at any time for help and advice
• You will also have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth. This is a structured process of self-appraisal, reflection, and planning, which will enable you to chart your personal, academic and professional development throughout your time at university. By recording your academic performance, and highlighting the skills you already have and those you will need for future employability, the PDP portfolio will equip you with the necessary tools to plan effectively, develop successful approaches to study, and consider your future career options and aspirations.

Student Testimonials

AI & Robotics is great because it not only gives you the most concrete feedback that what you're doing works - by a robot moving how it's supposed to, or even just a single sensor or motor behaving properly - it also feels the most creative, because you're creating something that can respond to any kind of environment or input, and even learn how to respond to things it's never seen before. Mathew Hathaway

Typical Entry Requirements

• UCAS Tariff: 120 - 96
• A Levels: BBB-CCC
• GCSE requirements (minimum grade C/4): English or Welsh and Mathematics
• BTEC National Diploma: DDM-MMM
• International Baccalaureate: 30-26
• European Baccalaureate: 75%-65% overall
• English Language Requirements: See our Undergraduate English Language Requirements for this course. Pre-sessional English Programmes are also available for students who do not meet our English Language Requirements.

Country Specific Entry Requirements

International students whose qualification is not listed on this page, can check our Country Specific Entry Requirements for further information.

The University welcomes undergraduate applications from students studying the Access to Higher Education Diploma or T-level qualifications, provided that relevant subject content and learning outcomes are met. We are not able to accept Access to Higher Education Diplomas or T-levels as a general qualification for every undergraduate degree course.
Our inclusive admissions policy values breadth as well as depth of study. Applicants are selected on their own individual merits and offers can vary. If you would like to check the eligibility of your qualifications before submitting an application, please contact the Undergraduate Admissions Office for advice and guidance.

Program Outline

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Aberystwyth University - Artificial Intelligence and Robotics (with integrated year in industry) GH7P BSc

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Degree Overview:

This program focuses on the development of artificial systems, a field becoming increasingly relevant in both commercial and domestic life. The program aims to equip students with a comprehensive understanding of Artificial Intelligence and Robotics, preparing them for a variety of careers in the field.

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Key Features:

• Integrated Year in Industry: This program includes a year of industrial and professional training, providing students with practical experience and valuable industry connections.
• Hands-on Learning: Students have access to a range of robotic equipment, including mobile and aerial robots, vision and motion tracking systems, micro controller systems, and laser scanners.
• Dedicated Facilities: The program utilizes dedicated Linux, Mac OS X laboratories and central servers, providing students with the necessary resources for their studies.
• Industry-Experienced Faculty: Lecturers have close links with the industry and software engineering conferences, ensuring students receive relevant and up-to-date knowledge.

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Outline:

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Year 1:

• Fundamentals of Web Development: This module introduces students to the fundamentals of web development, covering topics such as HTML, CSS, and JavaScript.
• Introduction to Programming: This module introduces students to the fundamentals of programming, covering topics such as data types, variables, and control flow.
• Problems and Solutions: This module focuses on problem-solving techniques, covering topics such as algorithm design and data structures.
• Programming Using an Object-Oriented Language: This module introduces students to object-oriented programming, covering topics such as classes, objects, and inheritance.
• Study Skills for Computer Science: This module provides students with essential study skills for success in computer science, covering topics such as time management, research skills, and effective communication.

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Year 2:

• Algorithm Design and Data Structures: This module explores advanced algorithms and data structures, covering topics such as sorting, searching, and graph algorithms.
• Artificial Intelligence: This module introduces students to the fundamentals of artificial intelligence, covering topics such as search, knowledge representation, and machine learning.
• C and C++: This module provides a comprehensive understanding of the C and C++ programming languages, covering topics such as memory management, pointers, and object-oriented programming.
• Robotics and Embedded Systems: This module introduces students to the principles of robotics and embedded systems, covering topics such as sensors, actuators, and control systems.
• Software Engineering: This module covers the principles of software engineering, covering topics such as software design, development, and testing.

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Year 3:

• Sandwich Year: This year is dedicated to industrial and professional training, allowing students to gain practical experience in a real-world setting.

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Year 4:

• Major Project: This module requires students to undertake a significant individual project, allowing them to apply their knowledge and skills to a real-world problem.
• Professional Issues in the Computing Industry: This module explores ethical, legal, and social issues related to the computing industry.
• Robotic Applications: This module explores various applications of robotics, covering topics such as industrial robotics, medical robotics, and service robotics.
• Space Robotics: This module focuses on the challenges and opportunities of robotics in space exploration.
• Fundamentals of Machine Learning: This module introduces students to the fundamentals of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning.
• Machine Learning: This module explores advanced machine learning techniques, covering topics such as deep learning, natural language processing, and computer vision.

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Assessment:

The program utilizes a variety of assessment methods, including:

• Coursework: This includes assignments, projects, and practical exercises.
• Examinations: These are used to assess students' understanding of key concepts and theories.
• Presentations: Students may be required to present their work to their peers and faculty.

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Teaching:

• Lectures: These provide students with a foundational understanding of key concepts and theories.
• Seminars: These offer opportunities for students to engage in discussions and debates with their peers and faculty.
• Tutorials: These provide students with personalized support and guidance.
• Practicals: These allow students to apply their knowledge and skills to real-world problems.
• Individual/Group Projects: These encourage students to work independently or collaboratively on projects that require them to apply their knowledge and skills to a specific problem.

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Careers:

The program prepares students for a variety of careers in the field of Artificial Intelligence and Robotics, including:

• Software Design: Designing and developing software for robotic systems.
• Communications and Networking: Designing and implementing communication and networking systems for robotic systems.
• Web Development: Developing web-based applications for robotic systems.
• IT Consultancy and Management: Providing expert advice and guidance on the use of AI and robotics in various industries.
• Systems Analysis and Development: Analyzing and developing systems for robotic applications.
• Education: Teaching and researching in the field of AI and robotics.

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Other:

• Employability Skills: The program emphasizes the development of employability skills, such as communication, analytical, time management, teamwork, and problem-solving skills.
• Residential Weekends: Students participate in residential weekends that focus on developing teamwork, communication, and problem-solving skills.
• Personal Development Plan (PDP): Students have the opportunity to create a PDP, which helps them chart their personal, academic, and professional development throughout their time at university.