Master of Science in Finance and Investment

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.

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

This course is available to students with or without a first degree in computer science.  

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)’.

You’ll be able to challenge educational practices and debate issues such as equality in education, learning in the digital age, and the ways in which cognition and development affect the way people learn. The degree covers perspectives from disciplines such as politics, history, sociology, philosophy and psychology.

The placement module provides an excellent opportunity to develop your understanding of educational theories in a practical setting, and will strengthen your CV. You could also have the chance to study abroad for a semester at our Malaysia campus.

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.

Our Entrepreneurship, Innovation and Management MSc will help you to harness your creativity and make your entrepreneurship goals a reality. It is ideal if you want to start your own enterprise, enter the family business or become a consultant who can work innovatively in a corporate setting.

You will explore topics including launching new ventures, entrepreneurial finances and e-business. You can also study venture capital and private equity, through a practical module that uses real life case studies and guest speakers with vast experience as venture capitalists.

The entrepreneurship project in semester two enables you to work to a brief and deliver a consultancy style report and presentation for the project sponsor - typically a founder of an entrepreneurial SME.

You will also be eligible for membership of the Ingenuity Lab, which will give you access to a wide range of roundtables and seminars hosted by our Entrepreneurs in Residence who also provide mentoring if you choose to undertake a summer business plan instead of a traditional dissertation.