BSc (Hons) Computing (Artificial Intelligence and Robotics)
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The BSc (Hons) in Computing (Artificial Intelligence and Robotics) at the University of Buckingham is a three-year program that equips students with the knowledge and skills to develop intelligent systems and robots. The program emphasizes practical application of AI, machine learning, and robotics principles, preparing graduates for careers in high-demand industries. Students gain hands-on experience through coursework, projects, and research opportunities, and the program is accredited by the BCS, The Chartered Institute for IT.
Program Outline
Degree Overview:
Overview:
The BSc (Hons) in Computing (Artificial Intelligence and Robotics) is a three-year program designed to equip students with the knowledge and skills needed to develop intelligent systems and robots. The program emphasizes the practical application of AI, machine learning, and robotics principles, preparing graduates for careers in high-demand industries.
Objectives:
- Provide a solid foundation in computer science fundamentals.
- Develop expertise in artificial intelligence, machine learning, and robotics.
- Equip students with the ability to design, implement, and test intelligent systems and robotic solutions.
- Foster critical thinking, problem-solving, and teamwork skills.
Description:
The program combines theoretical knowledge with practical experience, offering students a comprehensive understanding of AI and robotics principles. Students gain hands-on experience through intensive coursework, projects, and research opportunities. The curriculum covers a wide range of topics, including:
- Artificial intelligence
- Machine learning
- Computer vision
- Robotics
- Software engineering
- Project management
Outline:
Program Structure:
The program is divided into seven terms, with each term typically lasting 10 weeks. The first five terms focus on foundational computer science concepts, programming, and software development. The final two terms delve deeper into AI, machine learning, and robotics, culminating in a major project.
Course Schedule:
The course schedule varies each term, but generally includes a mix of lectures, seminars, practical workshops, and tutorials. Students are expected to dedicate significant time outside of class to independent study and project work.
Individual Modules:
Each term comprises several individual modules, each focusing on a specific topic within the broader realm of AI and robotics. Examples of modules offered include:
- Introduction to Computer Systems
- Introduction to Operating Systems
- Introduction to Statistics
- Mathematics for Computing
- Problem Solving and Programming 1 & 2
- Design, Implementation and Analysis of Algorithms
- Fundamentals of Artificial Intelligence
- Object Oriented Programming
- Principles of Computer Networks
- Principles of Database Systems
- Skills and Professional Development
- Software Engineering
- User Experience (UX) Design
- Fundamentals of Cyber Security and Cryptography
- Fundamentals of Mobile Applications Development
- Cloud Computing
- Computer Vision and Machine Learning
- Grand Challenge Project
- Project
- Robotics
- Software Project Management
- Web Applications Development
Assessment:
Assessment Methods:
A variety of assessment methods are employed throughout the program, including:
- Individual and group coursework
- Presentations
- Portfolios
- Quizzes
- Projects
- Exams The specific assessment methods vary depending on the individual modules and learning outcomes.
Assessment Criteria:
Assessments are evaluated based on criteria such as:
- Knowledge and understanding of the subject matter
- Critical thinking and problem-solving skills
- Communication and presentation skills
- Teamwork and collaboration abilities
Teaching:
Teaching Methods:
Teaching methods include a combination of lectures, seminars, practical workshops, and tutorials. The program utilizes virtual learning environments and online resources to enhance student learning.
Faculty:
The faculty comprises experienced and qualified academics with expertise in various areas of AI, robotics, and computer science.
Unique Approaches:
The program emphasizes a hands-on approach to learning, with students actively involved in practical projects and research opportunities.
Careers:
Potential Career Paths:
Graduates of the program can pursue careers in various industries, including:
- Artificial Intelligence
- Machine Learning
- Robotics
- Software Development
- Data Science
- Research and Development
- Education
- Healthcare
- Finance
- Manufacturing
Opportunities:
Graduates are well-positioned to secure employment with leading tech firms and multinational corporations, such as:
- Adobe
- Amazon
- Arm
- BAE Systems
- BT
- Google Deep Mind
- IBM
- Jaguar Land Rover
- Meta
- Microsoft
- PWC
- Salesforce
Outcomes:
Many graduates have successfully pursued postgraduate studies at prestigious universities and secured positions in senior roles around the world. Some have even founded their own successful tech startups.
Other:
Accreditation:
The program is accredited by the BCS, The Chartered Institute for IT, meeting the academic requirements for registration as a Chartered IT Professional. This accreditation also partially fulfills the academic requirement for a Chartered Engineer.
Computing Labs and Equipment:
The School of Computing offers dedicated labs equipped with high-specification PCs, specialist equipment for cyber security, networks, robotics, and immersive application development. Students have access to various software packages and cutting-edge technology, such as the Boston Dynamics Spot robot, collaborative robots, virtual reality headsets, and sensors.
Preparation for Work:
The program is designed to equip graduates with the skills and knowledge sought after by employers in the fast-growing AI and robotics industries. The curriculum focuses on developing practical abilities and industry-relevant expertise.
Start Type 1st Year Total cost Sep 2024 Full-time (3 Years) UK £10,091 £27,750 INT £16,146 £44,400 Course fees do not include additional costs such as books, equipment, writing up fees and other ancillary charges. Where applicable, these additional costs will be made clear.
