Bachelor of Science in Computer Science and Artificial Intelligence with Year in Industry

at University of Nottingham - Jubilee Campus United Kingdom

Education is one of the fundamental building blocks of society. However, leading an educational organisation is becoming increasingly complex.

This course will develop your essential leadership and management skillset. You'll conduct research that drives growth and enhances your professional practice to help you make a positive difference within the classroom or an education organisation.

You'll engage in critical discussion and explore theories and issues underpinning effective leadership in a variety of educational contexts. You will also consider social, political, cultural and policy factors that may influence your leadership role. The course is ideal for those who wish to move into or progress in educational leadership roles.

The course content has been influenced by research conducted by our own tutors. Their expertise and academic knowledge allows you to analyse different leadership styles and explore how they could affect your own practice. A key focus of the course is supporting practice-based inquiry and applying it to the way you work.

BSc Industrial Economics with Insurance will help you discover the answers to these questions and more, giving you an understanding of the complex relationships between economics and global business practices. You’ll analyse a company, taking an in-depth look at its structure, markets, competitors and external economic environment.

You can follow your individual interests and career aspirations by selecting from optional modules alongside your core subjects. You could also really enhance your CV by opting for a work placement year at a company where you can be at the front line of business.

There's also the opportunity to gain a global perspective by studying abroad at our own campuses in China or Malaysia, or at a partner institution in countries including Australia, Europe and the USA.

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.

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.

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.