BSc (Hons) Computer Science with Artificial Intelligence Bachelor's degree at Coventry University

Equip yourself with an introductory understanding of web development and the principles of human-centred design. Explore the foundational technologies of the Web, including HTML, CSS and JavaScript, and learn how to create responsive and accessible web applications. An emphasis is placed on user experience (UX) design, teaching you how to conduct user research, develop personas and create wireframes and prototypes that prioritise usability and accessibility. Through a combination of teaching met

This module introduces the core concepts of computer systems, covering both hardware and software. Investigate what constitutes a computer by exploring ideas like the Von Neumann architecture and Turing Completeness, and understand how data is represented, including memory, storage, number systems, binary logic, logic gates and transistors. This module explains instruction sets and assemblers along with CPU structure and memory management, including caches and system/virtual memory. Study optimi

This module introduces you to programming and artificial intelligence. Learn the fundamentals of programming, how to write clear and effective code, and develop your problem-solving and algorithmic thinking skills, with a focus on AI applications. The module focuses on simple AI programming challenges, including games, chatbots and maze solvers, along with introductory material on machine learning, neural networks and generative artificial intelligence. Content includes necessary mathematics, as

Learn basic programming concepts and simple algorithms within the application space of software development. The focus will be on new concepts for the exploration of different programming paradigms, particularly (but not limited to) procedural and object-oriented programming (OOP). Investigate the differences between major programming languages and be exposed to best practice design and development techniques for software. This includes learning professional practice in terms of code repositorie

Get an insight into algorithms, data structures, advanced programming techniques and hard problems, covering complexity and computability as well as key aspects of the theory of computer science. Operations on complex data structures, such as trees and graphs, will be introduced and developed within a practical context. This module will introduce you to various algorithmic and heuristic techniques used to tackle hard problems. You will also be introduced to the theory behind multi-threaded progr

This module brings together data science, artificial intelligence and machine learning. Data science uses a range of methods to extract insights from data. Artificial intelligence (AI) is dedicated to how computer systems can conduct work otherwise requiring human intelligence to learn, reason and make decisions. Explore the essentials in each area, including machine learning (ML), as well as the relationships between data science, ML and AI. Uncover the processes and techniques that underlie mo

Through hands-on labs and real-world projects, you will study modern operating systems, networks and associated security. Explore the structure and components of operating systems, including advanced OS services, and functions, such as process control, file management, threading, memory management and device access. You will evaluate emerging trends and technologies alongside the fundamentals of protection and security and learn how to design and implement secure architectures and operating syst

Explore the practical applications of artificial intelligence (AI) across various industries. Get hands-on experience with AI tools and techniques, understand the ethical implications of AI and develop skills to implement AI solutions in real-world scenarios. Covering key AI concepts and a broad overview of its applications, this module aims to teach machine learning, exploring supervised and unsupervised learning, neural networks and deep learning, with practical exercises to reinforce these co

This module provides you with an opportunity to reflect upon and gain experience for an approved placement undertaken during your programme. A placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.

This module provides you with an opportunity to reflect upon and gain experience for an approved international study/work placement undertaken during your programme. A work/study placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.

Learn advanced programming paradigms, techniques and approaches to improve efficiency and address challenging real-world computational problems. This module covers advanced programming paradigms, parallel and distributed programming, and GPU programming. This module focuses on functional programming, solving problems exclusively in this paradigm using a relevant language such as Haskell. Module content considers logic programming and the emerging technology of SAT/SMT-solvers with their sophisti

Explore natural language processing (NLP) and generative artificial intelligence (AI). This module covers the theoretical foundations and practical applications of NLP and generative models, providing you with hands-on experience with modern tools and techniques. The module begins with an introduction to NLP, covering text preprocessing, tokenisation and basic tasks like POS tagging and named entity recognition. You will then explore language models and transformers, followed by text classificat

Deep learning is a part of machine learning that uses layered neural networks to understand complex patterns in data. Learn the fundamentals of neural networks and deep learning and build practical skills in designing, testing and evaluating neural network models. Explore more advanced deep learning topics and techniques, such as convolutional neural networks, recurrent neural networks and generative models. This module also looks at how deep learning is used in real-world applications including

This final year project module gives you an extended opportunity across two blocks to design and complete a major project that brings together everything you have learned during your course. It's your chance to showcase your knowledge and skills through a piece of work you can be proud of and share with both academic audiences and potential employers. The module includes a comprehensive teaching programme that supports you in developing a wide range of essential research and professional skills.