Master of Science in Mechanical Engineering

at University of Nottingham - Jubilee Campus United Kingdom

Take the next step in your career using psychology in the world of work to help effectively manage people, even if you've never studied psychology before.

You'll learn about how we motivate employees, how we train them, how we recruit, how we design jobs, how we assess performance, how we manage well-being, how we lead, how we manage organisational change, and more. We also feature a module on managing diversity in the workplace. At Nottingham, we make sure the course has a practical focus and aim to improve your skills as a practitioner. That's why you'll also learn about consultancy as part of your studies.

You'll also get a good grasp on research methods applicable to the workplace, something that is particularly valuable to future employers. You'll be taught by research-active experts in the field, some of whom completed their own MScs at Nottingham.

By the end of the course, you should be ready to apply what you've learned to the real world of work.

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.

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.

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.

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.

Whether it is creating advanced engineering components, new kinds of prosthetic limbs, or complex pharmaceutical devices, Additive Manufacturing gives an engineer the ability to build structures with unprecedented degrees of complexity. This leads to new product generations that are completely unlike what has ever existed before. The digital and tool-less nature of additive manufacturing offers a range of new possibilities that are very exciting to today’s engineers.

This MSc programme will give you in-depth knowledge and understanding of Additive Manufacturing and 3D printing technology. You will gain the skills needed to:

• Evaluate the application of Additive Manufacturing technologies
• Apply methods in a project context
• Design additively manufactured devices
• Undertake individual research projects
• Critique, analyse, and communicate research findings