Master of Science in Banking and Finance

at University of Nottingham - Jubilee Campus United Kingdom

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)’.

On BSc 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 strong business acumen and 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 opting for a work placement year at a company where you can be at the front line of business and management.

There's also the opportunity to gain a global perspective by studying abroad at our own campuses in China or Malaysia, or at a partner institution in countries including Australia, Sweden and the USA.

Our Human Resource Management and Organisation MSc will develop your potential to excel in global human resource management positions. Using your specialist skills and knowledge, you will manage employment relationships and maximise the competitive advantage of your business.

You will sharpen your understanding of leadership, change management, the development and retention of talent, and the challenges of managing people in multi-cultural and global contexts. You'll also have the opportunity to learn from world-class experts, and participate in highly interactive lectures, workshops, case study analyses and blogs.

As this course is accredited by the CIPD (Chartered Institute of Personnel and Development) it offers you full exemption from their advanced diploma. It will also help to bring you to the notice of prestigious employers who are looking for the skillset you will have.

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

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.