Master of Science in Machine Learning in Science

at University of Nottingham - Jubilee Campus United Kingdom

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)’.

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 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.

On BSc International Management, you’ll learn about key principles including innovation, entrepreneurship and sustainability that underpin business and management across the globe. You’ll study real organisations to gain a deep knowledge of management processes. You can follow your individual interests and career aspirations by selecting from optional modules alongside your core subjects.

You could also really enhance your CV by spending your second year studying abroad at our own campuses in China or Malaysia, or at a partner institution in countries including Australia, Sweden and the USA.

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.

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.