Master of Science in Entrepreneurship, Innovation and Management

at University of Nottingham - Jubilee Campus United Kingdom

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.

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 you to start your career. 

The industry year lets you to take what you've learned and apply it to real projects in industry. Placements may be paid and can even lead to a job offer before you've graduated.

This course will give you a complete set of essential business and management skills. With the potential to work anywhere in the world, it can help you to begin a successful career with excellent earning potential in industry, commerce or the public sector.

Our core modules will give you a grounding in all the key principles in management science, including corporate financial strategy, managing people and managerial economics. You can also choose from a range of optional modules that enable you to specialise in particular areas that align with your career goals. Topics include venture capital, behavioural economics and human resource management.

This MSc will enhance your CV and help to bring you to the notice of prestigious employers who are looking for the business and management skillset you will have. As an asset to their organisation you can put your knowledge and skills into practice, having a real impact on their business.

The MSc is an internationally recognised qualification designed to maximise your potential for career and personal development. The course offers both a strong clinical focus underpinned by current evidence and research skills

Our MSc Physiotherapy course is open to all therapists and related healthcare professionals who want to enhance their clinical skills, professional knowledge and critical appraisal abilities as part of their ongoing career development. It is ideal if you want to conduct hands-on clinically focused research without the commitment of undertaking a research-only degree.

Our Division of Physiotherapy and Rehabilitation Sciences has an excellent reputation for teaching and research. On the programme, you'll be taught by experienced teaching staff who are experts in their field and active in clinically focused research.

We offer two pathways so you have the flexibility to tailor your qualification towards your individual interests.

You'll be part of a close-knit community of staff and students, where staff get to know you as an individual. We pride ourselves on the dedicated support we offer our students. This includes a personal tutor network to support you throughout your studies.

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.

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.

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.