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Students
Tuition Fee
GBP 44,400
Per course
Start Date
Medium of studying
On campus
Duration
24 months
Program Facts
Program Details
Degree
Bachelors
Major
Artificial Intelligence | Computer Science | Software Development
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 44,400
Intakes
Program start dateApplication deadline
2023-09-272023-09-01
2024-01-182023-11-24
2024-04-10-
2024-09-01-
2025-01-01-
About Program

Program Overview


This accelerated two-year BSc (Hons) Computing (Artificial Intelligence and Robotics) program from the University of Buckingham equips students with a solid foundation in AI, Robotics, Machine Learning, and Computer Vision. Through a blended learning approach, students develop practical skills in applying these technologies to real-world problems, preparing them for careers in rapidly growing fields. The program emphasizes critical thinking, problem-solving, and professional development, ensuring graduates are highly sought after by leading tech firms and multinational corporations.

Program Outline


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


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.


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.

Outline:


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.

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.

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

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.

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.

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.

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.

  • 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)
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Admission Requirements

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:

6.5, with at least 6.0 in each component (for international students whose first language is not English).


Language Proficiency Requirements:

For international students whose first language is not English, an IELTS Score of 6.5 is required, with at least a 6.0 in each component.

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