Bachelor of Science in Industrial Economics with Insurance

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.

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.

Our MSc course in Biotechnology is about discovery, innovation and translation of knowledge to application of novel products. The emphasis of the course is about the impact of modern biotechnological tools and approaches to address today's global challenges, from food to therapeutics. You'll learn about fundamental cellular mechanisms, genetic manipulations of biological systems and production processes. You will be trained in high throughput technologies in taught modules such as advanced molecular methods and be equipped with strong research skills throughout the curriculum.

Industrial and commercial aspects of biotechnology bring you closer to the current trends and careers in the field.

You can specialise in plant, microbial or animal biotechnology:

• Plant pathway – provides the theory and practical skills in plant genetic manipulation, plant breeding, crop improvement and genome research.
• Microbial pathway – study gene expression and metabolic engineering of micro-organisms. You'll gain theory and practical skills on the use of microbial production platforms for various end purposes such as therapeutics and biofuels.
• Animal pathway – gain specialist knowledge and practical skills, from reproductive biotechnologies to stem cell therapies.

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.

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)’.

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 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.

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