Data Science MSc

University of Salford

The MSc Data Science programme is delivered over one year full-time or three years part-time. It offers a comprehensive range of topics split into four modules worth 30 credits each. This modular structure is designed to improve the breadth of your learning and help you to generate ideas for your research project, which is worth an additional 60 credits.

Learn to tell a story from data and become immersed in Big Data techniques. This unique postgraduate course is your opportunity to develop specialist knowledge in data science and prepare for one of the most in-demand roles. Defined by Harvard Business Review as the sexiest job in the 21st century, there has been major interest and investment in data science. Such is the interest that demand has outstripped supply. Major global organisations including Google and Microsoft, and even public organisations, such as the NHS, are struggling to find qualified data scientists. Developed as a postgraduate conversion pathway – the first of its kind in the UK - the course is suitable for students from any discipline with a demonstrable mathematical aptitude.

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MSc Data Science

University of Lancaster

We offer a unique MSc Data Science programme that gives students the skills that they need to tackle the most demanding commercial and research data challenges. By working with industry partners, we have developed a programme that provides our students with a solid foundation in professional data science. Our programme’s combination of focussed data science teaching and industry experience has enabled us to launch the careers of over 200 new data scientists in the last 5 years.

Our programme is unique in its deliberate focus on multidisciplinary learning. Effective data science requires skills drawn from a range of disciplines and therefore our programme is offered jointly by the School of Computing and Communications, the Department of Mathematics and Statistics, Lancaster University Management School and the Faculty of Health and Medicine.

The inter-disciplinary syllabus provides specialist subject knowledge principled in the belief that the greatest opportunity for innovation comes from working across disciplines.

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MSc Big Data

University of Stirling

The MSc Big Data is a taught advanced Masters degree covering the technology of Big Data and the science of data analytics. You’ll gain practical skills in big data technology, advanced analytics and industrial and scientific applications.

The course will teach you how to collect, manage and analyse big, fast moving data for science or commerce. You’ll learn skills in cutting-edge technology such as Python, R, Hadoop, NoSQL and Machine Learning. At the same time, you’ll delve into important maths and computing theory, and learn the advanced computational techniques you need to develop your career in data science.

Our MSc has been developed in partnership with global and local companies who employ data scientists. Since the course was launched in 2012 we have developed a great relationship with employers who are looking for the skills that we teach.

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MSc Big Data and Business Intelligence

University of Greenwich

This innovative master's course provides you with the skills to contribute to the design and development of big data systems as well as distributed / internet-enabled decision support application software systems.

We focus on modern engineering methods, tools and techniques, including data analytics, machine learning, business intelligence, data mining. You will also have the opportunity to learn programming languages such as Hadoop, Python, and R. Our software engineering approach to building applications helps you to develop a life-cycle view of software development.

Drawing on our research excellence in this area, this innovative course in big data and business intelligence is designed to give you a competitive advantage in this fast-growing business domain.

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MSc Data Science (Social Analytics)

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills. Our goal is to help you develop into an agile, skilled data scientist, adept at working in variety of settings and able to meet the challenges and reap the rewards of interdisciplinary team work.

- Absorb and focus on data, and what data science can do.

- Develop your team-working skills, and actively study as part of a dynamic group.

- Be inspired by what the interdisciplinary course, drawing on five different disciplines, can provide.

Through a set of core units, you will develop a set of key data science skills.

- Machine Learning and Statistics (both semesters);

- Understanding Databases;

- Understanding Data and their Environment;

- Applications in Data Science.

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MSc Data Science (Mathematics)

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MSC IN SOCIAL DATA SCIENCE

The multi-disciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world. The course is taught by faculty from the Oxford Internet Institute, Engineering Science, Statistics, and other partner departments of the University of Oxford.

The growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a new science of studying social data combining theories, concepts, and methods from the social sciences and the computational sciences.

Social Data Science will help us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.

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Data Science, MSc

Welcome to our Master's in Data Science, which is taught from within the School of Computing and Mathematical Sciences. Your teaching team includes academics and practitioners with experience in various aspects of Data Science such as Big Data. The majority of the team holds a teaching qualification. This specialist Master's in Data Science provides a theoretical knowledge of data science alongside the practical skills that will help you prosper in the jobs market. You'll be exposed to a broad range of topics such as data science, statistics, specialist programming, machine learning and data visualisation. For the MSc project, you may have the opportunity to undertake a collaborative project within industry.

- You will learn about many interesting topics in modern data science statistics, data visualisation, programming, machine learning, and data visualisation, plus application areas such as business intelligence.

- We will provide you with the necessary tools to understand the in-depth theory behind data science and artificial intelligence.

- Gain practical skills for careers within this specialised field.

This course is accredited by BCS, The Chartered Institute for IT, up to and including the 2019 intake for Partial CITP and Partial CEng (Further Learning). Re-accreditation is pending output of the recent accreditation visit. This programme currently partially meets the Breadth of Knowledge requirement towards registration as a Chartered IT Professional and partially meets the academic requirement towards Chartered Engineering status.

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