Computer Science and Artificial Intelligence BSc (Hons) degree
| Program start date | Application deadline |
| 2023-09-26 | - |
Program Overview
Loughborough University's Computer Science and Artificial Intelligence BSc equips students with the skills and knowledge to excel in the rapidly evolving field of AI. The program emphasizes practical work, critical thinking, and employability skills, preparing graduates for careers in information technology, software development, and research. Accredited by the British Computer Society and TechSkills, the program offers a strong foundation in computer science and AI, with a focus on real-world applications.
Program Outline
Degree Overview:
Overview:
The Computer Science and Artificial Intelligence (AI) BSc degree at Loughborough University is a highly sought-after program equipping students with the essential skills and knowledge necessary to immerse themselves in the fascinating field of AI. Designed to provide a solid grounding in computer science, the program delves into specialist modules on AI, preparing students to become leaders in this rapidly evolving technological domain.
Objectives:
The program aims to equip students with the necessary skills and knowledge to:
- Understand the fundamentals of computer science and AI.
- Develop skills in problem-solving, critical thinking, and analysis.
- Apply AI techniques to real-world problems.
- Design and implement AI systems.
- Become leaders in the field of AI.
Program Description:
The Computer Science and Artificial Intelligence BSc degree at Loughborough University is a 3-year program with the option of extending it to 4 years by undertaking a placement year. The program is offered full-time and commences in October. The program is accredited by the British Computer Society (BCS) and TechSkills, ensuring graduates receive a recognized qualification and enjoy a competitive edge in the job market.
Outline:
Program Content:
The Computer Science and Artificial Intelligence BSc degree covers a broad range of topics, including:
- Programming
- Artificial Intelligence
- Robotics
- Intelligent agents
- Reasoning in uncertain systems
- Computer vision
- Neural networks
- Deep learning
- Ethics of AI
Program Structure:
The program is structured around a combination of lectures, seminars, tutorials, independent study, and group work. The program also includes a research project, offering students the opportunity to apply their knowledge and skills to a real-world problem.
Course Schedule:
The course schedule is designed to provide students with a comprehensive understanding of the subject matter. The first year focuses on establishing a strong foundation in computer science principles. The second year delves deeper into AI and its applications. The final year provides students with the opportunity to specialize in their chosen area of interest.
Modules:
The program consists of a variety of modules, each covering a specific topic within the field of computer science and AI. Some of the key modules include:
- Introduction to Programming
- Artificial Intelligence Methods
- Robotics
- Intelligent Agents
- Reasoning in Uncertain Systems
- Computer Vision
- Neural Networks
- Deep Learning
- AI Project
Module Descriptions:
- Introduction to Programming: This module provides students with the basic knowledge of procedural programming and a thorough understanding of Entity Relationship Analysis, relational database design, and use.
- Artificial Intelligence Methods: This module provides students with a set of techniques used to develop AI systems in both theory and practice.
- Robotics: This module provides students with the relevant concepts of robotics from the AI perspective and the skills for developing learning systems applicable to robotics.
- Computer Vision: This module introduces students to commonly used computer vision and image/video processing/analysis techniques and algorithms.
- Neural Networks: This module introduces students to the main algorithms in advanced artificial intelligence, intended as those that recently have seen considerable impact in science, technology, and applications.
- Deep Learning: This module introduces students to the main algorithms in advanced artificial intelligence, intended as those that recently have seen considerable impact in science, technology, and applications.
- AI Project: This module provides students with the opportunity to apply their knowledge and skills to a real-world problem in the field of AI.
Assessment:
Assessment Methods:
Student assessment is conducted through a combination of coursework, examinations, and a dissertation. The coursework typically involves assignments, presentations, and practical projects. The examinations typically take the form of written tests and practical demonstrations. However, the general criteria include:
- Knowledge and understanding of the subject matter
- Critical thinking and problem-solving skills
- Communication and presentation skills
- Originality and creativity
Teaching:
Teaching Methods:
The program utilizes a variety of teaching methods, including:
- Lectures
- Seminars
- Tutorials
- Independent study
- Group work
- Supervision
- Workshops
- Practical sessions
Faculty:
The program is taught by a team of experienced and qualified academic staff. The staff are all actively involved in research and have a strong track record of publications in leading academic journals. The staff are committed to providing students with a high-quality learning experience.
Unique Approaches:
The program offers a number of unique approaches to teaching and learning, including:
- A strong emphasis on practical work and problem-solving
- A focus on developing students' critical thinking and independent learning skills
- A personalized approach to learning, with small class sizes and individual support
- A focus on employability skills and career development
Careers:
Potential Career Paths:
Graduates of the Computer Science and Artificial Intelligence BSc degree are highly sought-after by employers in a variety of sectors, including:
- Software development
- Data science
- Artificial intelligence
- Robotics
- Research and development
- Education
Career Opportunities:
Graduates of the program have gone on to work for a variety of organizations, including:
- Amazon
- Microsoft
- IBM
- Apple
Career Outcomes:
The program has a strong track record of graduate employment. Recent graduates have gone on to secure jobs with a variety of organizations, including those listed above.
Other:
Research:
The Department of Computer Science at Loughborough University is a leading center for research in the field of AI. The department has a strong track record of securing research funding and publishing in leading academic journals. Students are encouraged to get involved in research projects, which can provide them with valuable experience and skills.
International Students:
The program is open to international students.
Study Abroad:
The program offers students the opportunity to study abroad for a semester or a year. This provides students with the opportunity to gain valuable international experience and broaden their horizons.
UK fees
Full-time course per annum £9,250 Placement year Approx. 20% of the full-time fee
International fees
Full-time course per annum £28,600 Placement year Approx. 20% of the full-time fee University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Additional costs While the cost of your tuition covers lots of things, it doesn’t cover everything. For instance this course doesn’t cover the cost of any stationary, printing, books or re-assessments which you might need.
