The MSc combines Mathematics with technology from Big Data and analytics, giving you a practical application in financial, business and medical systems, as well as the tools for studying data networks.
The field of Data Science has seen rapid growth in recent years, with vast amounts of data now being generated by major companies and service providers. At the same time, it’s recognised that there’s a shortage of qualified analysts, both in the UK and globally, to make the most of this data. Crucially, there’s now a shortage of mathematics graduates with the data analysis skills needed to meet the demands of industry. Our MSc Mathematics and Data Science is one of the first courses to link the two key areas of mathematics and data science, making it uniquely positioned to help you meet this demand.
The course will provide you with a solid foundation in the mathematical analysis of data-driven systems and help you develop your computing skills to apply the techniques you learn on a large scale. You’ll learn the techniques used to approach data using computational analysis and understand the mathematics underpinning these techniques. Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It facilitates industry involvement and collaboration, and provides funding and resources for students.
Build your knowledge, skills and experience of data analytics for a successful business career in roles requiring data driven decision making and analytical acumen. This exciting MSc Data Science for Business is the first in Scotland to be developed with inputs from SAS, a global leader in business analytics solutions; leading financial services organisation HSBC and The Data Lab to ensure it meets industry needs.
This MSc course provides you with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision-making. The course addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. As a graduate you’ll have a highly sought-after blend of data analytics, business acumen and advanced management skills. You can develop specialist skills by choosing elective modules from finance, computing science and management. You’ll work on real life consultancy-style projects alongside industry leaders in data analytics. Our extensive network of external organisations across all sectors provides opportunities to build your knowledge, skills and experience for a successful career in business analytics roles.
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.
You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.
Recent technological advances decreasing hardware costs and the ‘Internet of things’ has led to a rapid explosion in the amount of data generated in a variety of domains, including data-driven science, telecommunications, social media, large-scale e-commerce, medical records and e-health. Big data refers to the ability of exploiting these massive amounts of extremely heterogeneous in structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry used their big data to extract a better understanding of customers’ needs and behaviour, to develop targeted new products and to cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of a big data projects and a shortage of people with the required skills.
This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build your knowledge and understanding of big data systems architectures and to equip you with the range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.
Develop the skills you need for a career in this fast emerging field of data science.
This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.
It is an interdisciplinary programme, designed for students with a first degree in subjects such as:
- Computer Science
- Electrical Engineering
Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research. You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work). On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.
City's MSc Information Science is designed to provide you with a deep understanding of information systems and services, and their relevance and impact within different layers of society. The course examines information infrastructures, communication processes, systems and services. Our course is grounded in the history and philosophy of information, embracing the legal, ethical, social and economic impact of information within specific subject domains, individual organisations, and contemporary society.
Content covers the fundamental concepts of data, information and knowledge, and builds on these to consider: metadata; database structure; information resources, retrieval, and access; measurement, analysis, and visualisation of information; preservation and security; information literacy; use of new and emergent technologies; methods of investigation; socio-cultural implications and policy formulation.
The demand for data scientists in the UK has grown more than ten-fold in the past five years *. The amount of data in the world is growing exponentially. From analysing tyre performance to detecting problem gamblers, wherever data exists, there are opportunities to apply it. City’s MSc Data Science programme covers the intersection of computer science and statistics, machine learning and practical applications. We explore areas such as visualisation because we believe that data science is about generating insight into data as well as its communication in practice.
The programme focuses on machine learning as the most exciting technology for data and we have learned from our own graduates that this is of high value when it comes to employment within the field. At City, we have excellent expertise in machine learning and the facilities students need to learn the technical aspects of data analysis. We also have a world-leading centre for data visualisation, where students get exposed to the latest developments on presenting and communicating their results – a highly sought after skill.
Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.
As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files.
The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice.
The programme includes:
- A firm grounding in the theory of data mining, statistics and machine learning
- Hands-on practical real world applications such as social media, biomedical data and financial data with Hadoop (used by Yahoo!, Facebook, Google, Twitter, LinkedIn, IBM, Amazon, and many others), R and other specialised software
- The opportunity to work with real-world software such as Apache