Bachelor of Science in Finance, Accounting and Management with a Placement Year

at University of Nottingham - Jubilee Campus United Kingdom

Cyberphysical systems integrate computation with physical objects and processes. Examples of cyberphysical systems are:

• 'Smart' devices in the home such as a smart meter or fridge
• Voice assistant devices
• Driverless vehicles
• Medical monitoring equipment
• Wearable devices
• Robotic assistants

Our course is designed for students with a background in computer science or a related field with analytical skills. You'll learn the principles of integrated system design and computational and cyberphysical systems methods and tools. Core modules will broaden your knowledge in key topics such as artificial intelligence, robotics and cybersecurity.

During the summer period, you will undertake an individual research project. This could be software-based or research-based. Collaboration with business, industry, and other outside bodies is encouraged.

Computer Science is playing a key role in many industries all around the world. Developments in artificial intelligence, apps and cyber security are changing how we live, work and socialise. This course will give you the skills and knowledge to prepare you for a range of high-level careers.

Core modules will develop your knowledge in key topics such as programming, databases, and networks. Optional modules give you the flexibility to broaden your knowledge in specialist areas, including machine learning, autonomous robotics, and human-AI interaction. 

You will undertake an individual research project in an area of your choice. This could be in collaboration with an industry partner to build your experience and connections. You can also work with one of our world-leading research groups. Previous projects have included:

• Deep Learning for Plant Phenotyping
• Automated algorithm design
• Collaborative live mobile video streaming systems for sports events

If you choose to focus your study and research in the field of AI, you can graduate with a degree titled ‘MSc Computer Science (Artificial Intelligence)’.

Our MA Digital Teaching and Learning course aims to strengthen your understanding of learning in the digital age and explore how digital technology can transform the teaching and learning experience.

This course increases your knowledge of digital technologies as resources for learning. You will evaluate the use of such technologies in educational contexts and assess how new learning technology can be implemented at a variety of levels in both formal and informal education.

You will also analyse contemporary ideas and theories about learning from both cognitive and socio-cultural perspectives, then consider these against the wider social debates that impact on technology enhanced learning.

It is ideal for working teachers who want to gain an advanced understanding of how digital technologies could be used in the classroom, or wish to go onto a PhD.

This course is informed by the work of the Learning Sciences Research Institute and draws on expertise from psychology, computer science and education. It provides a unique perspective on the theories that underpin successful learning, teaching and innovation within the fast-moving digital world.

View our student profiles page to see what our students say about their experience on the course.

Our MA Education allows you to consider education in all of its complexity, as something that both reflects and works to construct different aspects of our social lives and the way our society is organised.

This course aims to strengthen and refine your ability to critically reflect upon your own teaching. You will engage with contemporary theories in education and examine how you might apply them to the practice you carry out. It is ideal for those who are looking to take the next step in their career within the education/teaching sector.

We have designed a course that is extremely flexible and meets the needs of individuals and organisations. These include: 

• A range of optional modules - tailor your degree to your personal and professional interests
• Different modes of delivery - taking account of individual needs and professional contexts
• Exit points - options to leave the course with either a PG Certificate or PG Diploma

View our student profiles page to see what they say about their experience on the course.

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 when you start your career.

The fourth year includes masters-level modules. You have full choice on what you'll study. You could focus on a programming project, look at advanced algorithms or be a STEM ambassador in schools.

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 when you start your career.

The fourth year includes masters-level modules. You have full choice on what you'll study. You could focus on a programming project, look at advanced algorithms or be a STEM ambassador in schools.

You’ll be able to challenge educational practices and debate issues such as equality in education, learning in the digital age, and the ways in which cognition and development affect the way people learn. The degree covers perspectives from disciplines such as politics, history, sociology, philosophy and psychology.

The placement module provides an excellent opportunity to develop your understanding of educational theories in a practical setting, and will strengthen your CV. You could also have the chance to study abroad for a semester at our Malaysia campus.