BSc (Hons) Computer Science with Foundation Year

As a Computing academic team, we are dedicated to supporting your development as skilled, analytical thinkers who are ethically aware of the impact of technology on the world and its future.

To help you achieve this, we use a range of teaching methods tailored to your learning needs. Your learning experience will include lectures, tutorials, and online resources delivered through our Virtual Learning Environment (VLE), alongside hands-on workshops and interactive exercises.

This approach ensures a dynamic and engaging learning experience, with regular one-to-one feedback and support. By the end of this journey, you will have developed the independence, confidence, and problem-solving skills necessary to succeed at Level 4 and beyond.

At Level 4, the focus is on building a solid foundation in computer science while developing essential academic skills. You will gain a broad understanding of key concepts such as software development, emerging technologies, ethics, and computer systems. This year lays the groundwork for your understanding of how computers operate, with an emphasis on the principles behind software creation, as well as the ethical implications of technology in society.

As you progress into the following years, the curriculum shifts towards more advanced topics. You will develop expertise in key algorithms and data structures, equipping you with the critical thinking and problem-solving skills necessary to tackle complex computing challenges. Big data analytics will be introduced, providing insights into processing and analyzing large datasets, while networking and operating systems will deepen your understanding of how computers communicate and how systems are managed to optimize performance. Networking knowledge will help you understand the infrastructure that enables modern communication, while operating systems will teach you how resources are allocated, applications run, and processes are managed. These subjects are essential for preparing students to work in today’s connected, data-driven world. In your final year, you will focus on a dissertation project, applying the knowledge and skills you have acquired to solve a real-world problem. This year is a culmination of your learning, where you can focus on research, deepening your expertise, and developing a comprehensive project that demonstrates your ability to apply computer science principles to practical challenges.

Throughout your course, for each 30-credit module, you will have 66 hours of contact time through interactive lectures, seminars, workshops, and practical sessions. In addition, you will engage in self-directed learning, typically 44 hours per module, supported by guided pre-reading and task-based assignments. To further support your development, additional workshops will be available in areas such as maths, statistics, and career development, ensuring you have the resources to succeed throughout your studies.

You will spend a significant portion of your time (around 190 hours per semester for a 30-credit module) outside of scheduled classes, engaging in independent learning. This includes completing computer-based exercises, preparing for workshops and seminars, conducting research in the library, working on projects, and completing coursework assignments. You will also prepare for class tests, exams, and read journal articles and books, with specific readings and activities directed by your module leader. This independent study will deepen your understanding, especially during project work, and help you apply your knowledge.

Collaborating with peers through group work or discussions will enhance your learning experience and provide different perspectives. Additionally, supporting resources such as reading materials, drop-in sessions for both technical and non-technical skills (e.g., writing or referencing), will be available to assist you with any challenges you encounter.

In your final year, your focus will shift to an individual dissertation. You will undertake independent research, with guidance from a dedicated supervisor through regular scheduled meetings to ensure your progress as you work on your first substantial, independent project. Effective time management and critical thinking will be essential as you navigate through your academic journey.

To complete a 30 credit module, you can expect to dedicate approximately 300 hours of your time. This includes class attendance, independent study, group work, and preparation for assessments. While this may seem like a significant investment, it is important to remember that this time is crucial for developing a deep understanding of the subject matter and achieving your academic goals.

The course is delivered by a diverse team of experienced academics, alongside skilled technical staff. Many of the teaching team members are also active independent researchers in their fields, ensuring a well-rounded learning experience that integrates both theoretical knowledge and practical application. All members of the teaching team hold doctoral or professional qualifications (e.g., Member of the British Computer Society or Eur. Ing.), or possess substantial industry experience. Please note that the composition of the teaching team may change.

To further enrich your learning, we provide insights into industry practices through guest lectures from professionals with real-world experience. Additionally, PhD students, under the close guidance of academic staff, may assist in tutorials or laboratory sessions, offering peer support and sharing their research expertise.