Master of Arts in Educational Leadership and Management

at University of Nottingham - Jubilee Campus United Kingdom

This course is available to students with or without a first degree in computer science.  

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)’.

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.

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.

This flexible course examines the educational needs of children with labels of learning difficulties and disabilities. You’ll consider the importance of communication and literacy and analyse how different countries approach identification and assessments for children with special needs. You’ll graduate with the skills to be able to make a significant impact on the lives of children.

It is designed for graduates, teachers or other professionals who have an interest in increasing their knowledge and skills in the field of special and inclusive education. If you have completed the National Award SEN Coordination, you can select modules from this course to advance to a full MA qualification.

View our student profiles page to see what Jiaying says about her experience on the course.

This face-to-face course will be studied on campus full-time or part-time. It is also available to study online through part-time study only. Please see the applying section for further details.

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.