BSc Computer Science

Overview

A Deep Dive into Computer Science

Build the technical knowledge, practical skills and problem-solving abilities needed to develop software and explore emerging areas of computer science.

The BSc Computer Science programme combines the theoretical foundations of computing with practical experience in programming, software development, data science, artificial intelligence, machine learning, security and computer systems. You will learn how to analyse problems, design and develop computational solutions, work with data and understand the technologies that underpin modern computing. Through individual and group projects, you will also develop professional skills such as teamwork, communication, critical reflection and the use of industry practices, preparing you for a wide range of careers in the computing sector or further study.

  • Computational Thinking Develop the analytical and problem-solving skills needed to understand complex computing challenges and design effective solutions.
  • AI & Data Science Explore artificial intelligence, machine learning and data science to develop intelligent solutions and make data-driven decisions.

Study Themes

What You’ll Learn

Develop the knowledge and practical skills to understand, design and build solutions across a broad range of computer science disciplines.

Throughout the programme, you will progress from fundamental concepts and programming techniques to advanced areas such as artificial intelligence, machine learning, security and software engineering. You will also learn how to apply your knowledge through projects, using professional development practices and working both independently and as part of a team.

  • Computational Thinking

    Learn how to analyse complex problems, develop algorithmic solutions and evaluate the efficiency and limitations of different approaches to computation.

  • Programming & Software Development

    Build practical programming skills and learn how to take software from requirements and analysis through development, testing and evaluation using appropriate programming languages and development techniques.

  • Computer Systems, Architecture & Security

    Explore how modern computing systems work, from computer architecture and operating systems to networks and cloud-based infrastructure, with a focus on security.

  • Data Science & Artificial Intelligence

    Work with datasets using appropriate storage, statistical and computational techniques, while exploring artificial intelligence and machine learning approaches to identify patterns and develop solutions.

  • Professional Practice

    Apply professional approaches used in the computing industry, including version control, automated testing, software development methodologies and responsible approaches to technical work.

  • Advanced Computing & Independent Research

    Develop your knowledge through advanced topics such as machine learning and security, alongside an individual research project. You can also specialise through optional study in areas including mobile application development, web API development, parallel and distributed programming, and advanced programming paradigms.
Software Engineer
Application Developer
Web Developer
Data Scientist
Machine Learning Specialist
Artificial Intelligence Specialist

Career Paths

Where This Degree Takes You

Explore the range of computing roles and specialist areas that your knowledge and skills can support.

A Computer Science degree can open pathways across software development, data, systems, security and other areas of the technology sector. Throughout the programme, you will develop technical and transferable skills that can be applied across established and emerging computing roles. You can also use your degree as a foundation for further postgraduate study or research.

Journey

Your Academic Journey

What do you want to learn to achieve the career paths mentioned

  1. 1 Applicable Mathematics
  2. 2 Foundation Physics
  3. 3 Foundation Academic English 1 for Engineering and Computing
  4. 4 Applied and Computational Mathematics
  5. 5 Applied Science and Engineering
  6. 6 Foundation Academic English 2 for Engineering and Computing

Please Note: We regularly review our course content to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated. Text Link

Credits/National Hours

  • What is credit/national hour?

    A credit/notional hour is the formal name for the estimated hours that are expected that a student would need to complete a module

  • How many hours is 1 credit?

    1 credit is equal to 10 notional hours, so 20 credits are equal to 200 notional hours, The 200 hours includes time in lectures, tutorials, preparing for your lectures, assessments as well as your own personal revision and studying that you would do

  • Can study hours exceed the estimate?

    In reality, you might actually go above and beyond the expected notional hours, in particular if your degree requires a lot of independent learning you would most likely exceed the predicted hours

  • How many credits are in a UK semester?

    In the UK system each semester is 60 credits worth which is equivalent to at least 600 hours of study in one term. This is approximately equivalent to 8 hours of study a day

Instructors

Meet Our Outstanding Instructors

Head of School of Computing

Professor Waleed Fakhr

School of Computing

Computer Science & Software Engineering​

Assistant Professor Batoul Haidar

School of Computing

Impact

Graduate Success Stories

Abdalla Soliman

Co-founder of Develo Systems

Coventry University gave me the foundation to grow as a Computer Science professional and think globally. The experience and opportunities I gained helped shape my confidence to pursue entrepreneurship. Today, I’m proud to have co-founded Develo Systems, building a growing team delivering AI and software solutions to clients worldwide.

Eyad Ahmed

AI & Data Engineer, Deloitte Innovation Hub, Egypt

I chose Coventry University for its practical, industry-focused approach. My experience led to an internship at Deloitte’s Innovation Hub and, eventually, a full-time role as an AI & Data Engineer. TKH gave me the foundation and opportunities to turn my studies into a career I love.

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