Masters courses in data science provide graduates with high-level general skills and advanced specialist knowledge based on cutting-edge research, in preparation for a career or further study.
MSc Consumer Analytics and Marketing Strategy
The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative Masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.
Taught by leading academics from the Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.
Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.
Advanced Computer Science (Data Analytics) MSc
This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of advanced topics in computer science.
You’ll gain a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like image analysis or text analytics, or broaden your approach with topics like cloud computing.
You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.
Data Science and Analytics MSc
There is an increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills which can be applied in a variety of business environments.
The Data Science and Analytics MSc is a highly flexible course which offers the opportunity to develop a range of skills, including analysing structured and unstructured data, analysing large datasets and critically evaluating results in context, through a combination of compulsory and optional modules. By choosing appropriate modules you can follow specific pathways, including in business management, healthcare or geographic information systems (GIS), which will allow you to tailor the programme to suit your background and needs.
The course combines expertise from the Schools of Mathematics, Computing, and Geography with that of the Leeds University Business School, the Institute for Transport Studies and the Yorkshire Centre for Health Informatics. This collaboration allows you to benefit from a range of data science perspectives and applications, supporting you to tailor your learning to your career ambitions.More
MSc Urban Data Science and Analytics
Our Masters degree in Urban Data Science and Analytics offers you the opportunity to gain in depth knowledge of the methods and approaches of data science and learn how to apply them in understanding cities and setting urban policy.
The course will combine technical training in the latest data science techniques – from data wrangling, to machine learning, to visualisation, and beyond – with the critical thinking needed to interrogate and understand complex urban and mobility challenges.
At the heart of this course will be a commitment to tackling the real-world challenges facing cities.
Researchers at the University of Leeds are finding novel data-driven solutions to tackle challenges such as traffic congestion, social and economic equality, pollution and competition for resources. Find out more about our Urban Analytics research at Leeds.
MSc Business Analytics and Decision Sciences
This programme gives you an insight into business analytics and explores how organisations can exploit the big data revolution. You’ll develop decision-oriented, quantitative analytical skills in a management context, and learn to sift intelligence from the growing volume and variety of data collected on many aspects of life.
Combining theoretical concepts with practical application, you’ll develop a unique mix of quantitative and behavioural skills relevant to data analyses, effective decision-making and management.More
Geographical Information Systems MSc
This programme focuses on scientific, technical and computational aspects of Geographical Information Systems (GIS) and Geographical Information Science (GIScience), with particular reference to the socioeconomic and environmental sciences. It provides highly qualified and motivated students sought by employers in the sector.
Core modules introduce GIS, a rapidly evolving area in business, health and planning settings, as well as in environmental applications. You will be introduced to GIS packages and database systems, useful for those wanting to undertake social and environmental science research and those wanting to understand the application of geotechnology as practitioners. You’ll study theories and concepts underpinning GIS and explore topics including spatial data models, data capture, spatial analysis and statistical and mathematical modelling. Optional modules allow you to focus on quantitative human geography, environmental applications and programming GIS.More
Geographical Information Science MSc (Online)
This part-time, online Masters course will provide you with in-depth and specialist knowledge of GIS techniques. You will focus on scientific, technical and computational aspects of Geographical Information Science (GIScience), with particular reference to the socioeconomic and environmental sciences.
Core modules introduce GIS, a rapidly evolving area in business and environmental applications. You will be introduced to GIS packages and a range of data sources/techniques, useful for those wanting to undertake social and environmental science research and those keen to understand the application of geotechnology as practitioners. You’ll study theories and concepts underpinning GIS and have the chance to explore topics including advanced spatial data visualisation, digital image processing, and geodemographics.
Dr Luke Burns is the Programme Manager for this course.
If you have any questions regarding your eligibility, the course content, structure or anything else then please do not hesitate to contact us at: email@example.com. You may also find our FAQs page useful.More
Precision Medicine: Genomics & Analytics MSc
Biomedical research generates large volumes of complex data, encompassing genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to inform our understanding of disease mechanisms.
This programme will equip the next generation of scientists with the skills to utilise these data sets in the development of precision medicine. These data impact on the creation of new tailored therapies, aiding earlier diagnosis and the selection of optimal treatment regimens for patients who may be suffering from disorders ranging from common disorders of complex aetiology (such as cancer or cardiovascular disease) to the more rare Mendelian disease (such as muscular dystrophy).
This distinctive programme has been designed to directly meet research needs in industry and academia where there is a need for scientists with both biological knowledge and the computational, statistical and analytical skills to drive genomic precision medicine.
We are delighted to offer 4 fully funded places to students who have applied to study MSc Precision Medicine: Genomics and Analytics starting in 2020. These places are awarded by HDRUK in recognition of the importance of this research area and the shortage of trained scientists.