BSc (Hons) Computing (Artificial Intelligence and Robotics)

Program Overview

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BSc (Hons) Computing (Artificial Intelligence and Robotics) (2-year degree)

Course Overview

This two-year undergraduate degree programme equips students with the knowledge and skills that are sought-after in various sectors. It provides a comprehensive education in computing, with a focus on artificial intelligence and robotics.

Start and Duration

• Sep, 2 years and 1 term
• Jan, 2 years

Level

• Undergraduate

Qualification

• Bachelor of Science (Hons)

UK Fees

• From £12,333 per year*
• From £13,875 per year*

International Fees

• From £19,733 per year*
• From £22,200 per year*

UCAS Code

• G403

Campus

• Buckingham

School

• School of Computing

About the Course

This course provides a comprehensive education in computing, with a focus on artificial intelligence and robotics. Students will be trained on fundamental theories and concepts, key techniques, approaches, methodologies, and tools of software development, artificial intelligence, and robotics.

The programme is designed to provide students with the practical skills required to implement AI, machine learning, and robotics-based autonomous digital and technology solutions for various sectors.

Entry Requirements

• A-Level: (ABB – BBB), IB 32 or equivalent (Computing and/or Mathematics are desired, but not essential)
• GCSE B/5 in Math and C/4 in English
• IELTS Score of 6.5, with at least 6.0 in each component

Teaching & Assessment

The programme combines academic challenge with professional skills that will stand students in good stead for employment in industries of the future.

• Teaching methods: lectures, seminars, practical workshops, and tutorials
• Assessment methods: individual and group coursework, presentations, portfolios, quizzes, projects, and exams

Computer Labs, Software, and Equipment

The School of Computing has several labs to facilitate the teaching, learning, and assessment of its programmes.

• General computer labs with high-specification PCs
• Specialist labs for cyber security and networks, games and immersive application development, and robotics
• Integrated development environments and a variety of software packages

Preparation for Work

The programme is designed to blend theory with practice, combining academic challenge with professional skills that will stand students in good stead for employment in industries of the future.

Graduate Employment

Our graduates have gone on to work at some of the world’s leading tech firms and multinational corporations.

Scholarships and Bursaries

We have bursaries and scholarships available for both home and international students at undergraduate and postgraduate level.

Accommodation

We guarantee on-campus accommodation to all new students for their first four terms of study.

How to Apply

We welcome applications in two different ways – directly via our online application form or through UCAS.

Program Outline

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BSc (Hons) Computing (Artificial Intelligence and Robotics) (2-year degree) - University of Buckingham

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Degree Overview:

This program offers a fast-tracked approach to learning the fundamentals of Artificial Intelligence and Robotics, preparing students for careers in these rapidly growing fields. It aims to equip students with the knowledge and skills to develop autonomous solutions for various sectors like automobile, agriculture, education, healthcare, law enforcement, public services, transport, and utilities.

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Program Objectives:

• To provide students with a strong foundation in computer science principles and programming skills.
• To equip students with advanced knowledge in the fields of Artificial Intelligence (AI), Robotics, Machine Learning, and Computer Vision.
• To develop practical skills in applying these technologies to solve real-world problems.
• To cultivate critical thinking, problem-solving, and analytical skills.
• To provide students with a platform for professional and personal development.

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Outline:

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Program Content:

• Year 1: Fundamentals of computing, programming, software development, algorithms, data structures, computer networks, database systems, operating systems, AI principles, machine learning basics, computer vision fundamentals, and robotics principles.
• Year 2: Advanced topics in AI, complex algorithms, computer vision applications, robotics development, software project management, cloud computing, collaborative projects, individual project, and a "Grand Challenge" project.

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Program Structure:

• Two-year program with accelerated pace.
• Full-time study format.
• Blended learning approach with lectures, seminars, tutorials, workshops, and project work.
• Opportunities for independent learning and research.

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Course Schedule:

• The program schedule includes modules such as:
• 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

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Assessment:

• Assessment methods vary depending on the module and can include:
• Individual and group coursework
• Presentations
• Portfolios
• Quizzes
• Projects
• Exams
• Assessment criteria are aligned with learning outcomes and designed to test students' knowledge, understanding, and application of skills.

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Teaching:

• Teaching Methods:
• Small-group teaching and learning environment.
• State-of-the-art teaching technologies and equipment.
• Research-informed curriculum.
• Collaborative projects and team-based learning.
• Industry engagement through guest speakers and partnerships.
• Faculty:
• Experienced and qualified academic staff with expertise in their respective fields.
• Research-active faculty involved in cutting-edge research projects.
• Dedicated and approachable teaching staff.
• Unique Approaches:
• Blending traditional lectures with innovative teaching methods.
• Emphasis on practical application and real-world problem solving.
• Encouragement of innovation and entrepreneurship.
• Fostering ethical considerations and social responsibility in computing.

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Careers:

• Potential Career Paths:
• AI Engineer
• Robotics Engineer
• Machine Learning Engineer
• Computer Vision Engineer
• Data Scientist
• Software Developer
• Research Scientist
• Technical Consultant
• Employment Opportunities:
• Graduates are sought after by leading tech firms, multinational corporations, and specialized companies in various industries.
• Alumni have secured positions at companies such as Adobe, Amazon, Arm, BAE Systems, BT, Google Deep Mind, IBM, Jaguar Land Rover, Meta, Microsoft, PWC, and Salesforce.
• Program Outcomes:
• Graduates are equipped with the necessary skills and knowledge to thrive in the competitive AI and Robotics job market.
• The program prepares students for leadership roles and independent research endeavors.
• Graduates are encouraged to pursue continuous learning and career advancement opportunities.

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Other:

• The program is accredited by the British Computer Society (BCS), meeting both the academic requirements for Chartered IT Professional and Incorporated Engineer status.
• Emphasis is placed on developing professional and soft skills alongside technical expertise.
• Buckingham offers a unique collegiate experience with a vibrant student community and personalized support system.

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• UK:
£12,333 (1st Year), £27,750 (Total cost)
• INT:
£19,733 (1st Year), £44,400 (Total cost)
• UK:
£13,875 (1st Year), £27,750 (Total cost)
• INT:
£22,200 (1st Year), £44,400 (Total cost)