Bachelor of Science in Computer Science

at University of Nottingham - Jubilee Campus United Kingdom

We develop students to become confident sport rehabilitators, equipped with the knowledge, skills and flexibility to work independently across a range of sporting, health, rehabilitation and exercise environments.

Accredited by the British Association of Sport Rehabilitators and Trainers (BASRaT), our BSc Sport Rehabilitation develops your practical skills to work with patients and athletes of all ages to rehabilitate them following injury.

We are committed to developing sport rehabilitators within a supportive, nurturing environment. You will work across key areas of injury prevention, health, wellbeing and sporting performances, designing and implementing exercise and rehabilitation programmes for your clients.

Artificial intelligence is changing our homes, workplaces and lifestyles. Our course lets you explore this subject with optional modules in user experience design, autonomous systems, and machine learning.

You'll take part in a group project in year two which prepares you for creating the computer systems of the future. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. This is great for your CV and can help you make contacts ready for you to start your career. 

The industry year lets you to take what you've learned and apply it to real projects in industry. Placements may be paid and can even lead to a job offer before you've graduated.

Computer science is more than just programming. It is about problem-solving and creativity. Our range of optional modules allows you to explore the areas of computer science that excite you. These include user experience design, virtual reality, artificial intelligence and machine learning.

You'll take part in a group project in year two which prepares you for designing and creating the computer systems of the future. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. All these companies have offices in Nottingham. This project is great for your CV and can help you make contacts ready for when you start your career.

The industry year lets you take what you've learned and apply it to real projects in industry. Placements are usually paid and can even lead to a job offer before you've graduated.

Computer science is more than just programming. It is about problem-solving and creativity. Our range of optional modules allows you to explore the areas of computer science that excite you. These include user experience design, virtual reality, artificial intelligence and machine learning.

You'll take part in a group project in year two which prepares you for designing and creating the computer systems of the future. Many projects are in collaboration with industry. Previous students have worked with Capital One, Experian, IBM and UniDays. All these companies have offices in Nottingham. This project is great for your CV and can help you make contacts ready for when you start your career.

At Nottingham you'll learn with a real focus on professional skills, helping you to get to where you want to be by the end of the course.  The passion and enthusiasm of the course team was just one of the seven commendations we received as part of our accreditation along with student support and the professional skills and career development opportunities we give our students.

Join our Health Psychology family and make the most of our friendly and supportive but academically challenging course.

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition and language processing.

On this course you will learn how to apply ML and AI techniques to real scientific problems. This will help you build vital skills, enhancing your employability in a rapidly expanding area.

Graduates of this course will learn how to:

• Identify and use relevant computational tools and programming techniques
• Apply statistical and physical principles to break down algorithms, and explain how they work
• Design strategies for applying machine learning to the analysis of scientific data sets.

In addition, you will develop a broad set of transferable skills, including communication, critical thinking, and problem-solving.