Master of Engineering (Hons) in Electronic Engineering with Nanotechnology (Plus Optional Placement Year)

at University of York United Kingdom

The Advanced Computer Science MSc course will enable you to develop a high level of understanding and technical skill at the leading edge of the subject.

This course has been specifically designed to address the pace of change in this vibrant discipline by giving you breadth of knowledge in several areas, a range of advanced skills, and the expertise necessary to engage in work at the forefront of the application of Computer Science.

You will gain experience of working as part of a highly-specialised research group through the significant individual project which is an integral part of the course.

This is a full-time, one year taught course, intended for students who already have a good first degree in Computer Science, Software Engineering or a closely related discipline, who would like to develop a deeper level of understanding and technical skill.

The course will build on your existing strong foundation in Computer Science. It will enable you to undertake more senior roles in the IT industry, engage in cutting-edge Research and Development or progress to a Computer Science PhD once you have successfully completed the course.

Our course emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. The skills you gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science or biology. This experience is also an ideal foundation for further academic study; many of our students choose to progress to PhD.

Our Statistics and Probability Group has a thriving research culture. Our group works with mainstream statistics to develop new methodology and apply it to real-world problems. The team produces world-class research, publishing in top journals. Our graduate students have full access to this expertise, as well as being exposed to forefront research carried out across the globe through our regular seminars and working groups.

Our broad and principled approach to computer science will give you a thorough grounding in theory as well as practical skills, helping you to solve real-world problems.

You will study systems at different levels of abstraction, including digital hardware architectures, low level programming, operating systems, intelligent systems, compilers and high level languages. You’ll learn to design user-centred systems, recognise the power of data, and build intelligent systems that learn from data.

Our courses are designed with our Industrial Advisory Board, so you’ll be well placed to adapt to the workplace. Choose between a BSc or BEng based on your destination after graduation.

Art law is an exciting and fast-developing area, tackling issues surrounding the legal treatment of fine art and cultural heritage. Our LLM in Art Law is a unique collaborative and interdisciplinary course, co-taught by academic specialists from York Law School and the Department of History of Art.

You'll gain a deep understanding of the complex legal, artistic, social and ethical issues in the art world and learn essential skills of analysis and negotiation.

A wide range of networking opportunities and masterclasses - in addition to a compulsory field trip - means you'll gain practical, in-depth knowledge of the field, invaluable for careers in the trade or further academic study.

Funerary archaeology combines analysis of human remains with their archaeological context to take a truly interdisciplinary approach to studying both life and death in the past.

Our course will enable you to use the latest techniques and equipment to build key, practical knowledge and explore the varied archaeological and methodological approaches to funerary archaeology. You'll have the chance to develop your skills in a range of different methods and techniques, but all centred on learning how to investigate death and burial in the past.

The flexible nature of the course enables you to pursue your own particular period or methodological interests by selecting modules that appeal to your research interests. You'll work alongside internationally renowned specialists and gain 'hands on' experience of the analysis of human remains. You'll get the chance to learn through field trips to local museums and relevant sites, such as the prehistoric monuments in the Yorkshire Wolds.

Engage with heritage conservation in a broad interdisciplinary context and develop a unique mix of practice-based and theoretical learning for your professional work or further research in the conservation sector.

You'll learn essential disciplinary knowledge and advanced scholarship techniques with the opportunity to gain hands-on experience in sustainable building conservation practice. You will engage with practical and professional issues in a series of focused skills modules from an exciting range of related disciplines and develop your own experience in practice, whilst benefiting from the knowledge of our experienced practitioners.

A voluntary work placement in a conservation organisation in the York region will enhance and focus your practice-based experience and you will develop your research skills in an original, independently conducted research project.  

Established in 1972 and drawing on our wide range of department expertise, the MA Conservation Studies is particularly suitable if you are interested in a broader interdisciplinary approach to conservation such as cultural heritage management, digital heritage, landscapes, period-based or international conservation work.

Computer Science is founded upon Maths, and the study of the two together allows you to explore topics core to both whilst gaining an insight into how they intersect.

Maths influences Computer Science, from designing and analysing efficient computer programs to developing formal proofs that a piece of software does what was intended. This is especially important, for example, if the software is being used to fly a plane.

Increasingly, Computer Science is also being used to find solutions to mathematical issues. Computers are used to solve long-standing mathematical problems, as they can help visualise complex numerical data, search for solutions, and make number manipulation faster.

Social media and other emerging communication technologies are becoming a key aspect of social research practice.

The data they generate contain insights into how entire populations communicate, behave and interact with each other.

This course provides the practical research skills and conceptual foundations you need to conduct studies in this new field.

Advances in science mean we can discover more about the history of humankind than ever before.?

From new scientific techniques in archaeological fieldwork to the analysis of human and animal bones?, BSc Archaeology allows you to explore the past and its people from a scientific perspective. You can follow your interests in any time period, from the Palaeolithic to the 21st century. You'll develop your skills in a broad range of archaeological methods across the arts and sciences, through a combination of hands-on learning and small group teaching.

Our department is renowned for being friendly and welcoming, meaning you'll get to know your lecturers and they'll get to know you. You'll have endless opportunities to get involved, from joining the Archaeology Society to working abroad on a research project. We're based in the King's Manor in the city centre - a beautiful and truly unique Medieval building, with additional state-of-the-art facilities on the main campus.

Our exciting and intensive MSc in Mathematical Finance will give you the skills you need to work in the financial sector and adapt quickly to new developments in the field.

Join an established course which has been serving students for over a decade. Our team of dedicated academic staff are leaders in their field. They publish definitive textbooks with Cambridge University Press and Springer, introducing stochastic processes and mathematical finance to crucial modern concerns such as credit risk.