Master of Science in Machine Learning in Science

at University of Nottingham - Jubilee Campus United Kingdom

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.

At Nottingham you'll learn with a real focus on professional skills, helping you to get to where you want to be by the end of the course.  The passion and enthusiasm of the course team was just one of the seven commendations we received as part of our accreditation along with student support and the professional skills and career development opportunities we give our students.

Join our Health Psychology family and make the most of our friendly and supportive but academically challenging course.

This MSc course offers the chance to study advanced topics in mechanical engineering.

Building upon this broad base, we offer a number of streams which allow you to specialise in one particular area including aerospace, automotive, manufacturing, or a general advanced mechanical engineering option.

These streams build on our key research and academic strengths, along with our strong industrial links.

Modules and projects are delivered by internationally recognised experts in the area, including specialist lectures from industrial experts.

Key facts

• This suite of MSc programmes in mechanical engineering offers specialist streams linked to our world-leading research activities and centres
• Also taught at The University of Nottingham's Malaysia Campus
• The Faculty of Engineering is ranked 3rd in the UK for research power under REF 2014. More than 98% of engineering research ranked of international quality, with 85% graded as world leading or internationally excellent

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

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.

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.