Master of Science in Computer Science including International Year

at University of Nottingham - Jubilee Campus United Kingdom

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.

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.

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. 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 benefit of this course is you'll spend your third year abroad. You could be studying in Australia, Canada, Hong Kong, Ireland, Mexico, New Zealand or Singapore.

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.

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.

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)’.

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.