Master of Science in Physiotherapy

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.

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.

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.

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 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.

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.