Skills and Talent for Industry
The Bayes Centre offers a number of online programmes to help you future-proof your workforce by addressing data skills gaps. Whether you are looking to improve data literacy across your company, drive success through robust data-driven strategy, or embark on new data projects, we can support you on your journey.
Book a consultation with our team to find out more or contact Isobel.Dew@ed.ac.uk.
Further Partnership Opportunities
Alongside our skills development programmes, there are also a number of different ways to work with the Bayes Centre. Our industry partners can benefit from becoming a part of our network of over 60 industry and public sector partners, leverage the expertise of academic experts and students for R&D, establish a virtual or physical presence in Edinburgh, invest in joint innovation projects, or support or collaborate with tech ventures in our ecosystem.
Data Science, Technology and Innovation
Our multidisciplinary Data Science, Technology and Innovation postgraduate programme can be taken as single CPD courses or modules can be stacked towards a PG Certificate, PG Diploma or an MSc. Modules take place online and are on a breadth of topics including:
- Leading Technology and Innovation in Organisations
- Introductory Applied Machine Learning
- Understanding Data Visualisation
- Managing Digital Influence
With a pay-per-module model, this flexible offering is designed for those who either wish to accelerate their data science career or gain a deeper understanding of data science by studying alongside their work.
Marketing and Business
Professionals with skills in data science can analyse customer data, anticipate market trends, and leverage emerging technologies like AI for personalised marketing and efficient operations, fostering continuous innovation and creating competitive advantage.
Digital Technologies
Technologies enable businesses to develop innovative products and services, optimise user experiences, and enable data-informed strategic decisions. Knowledge of emerging technologies and innovative methodologies helps professionals stay at the forefront of digital advancements, contributing to continuous innovation within a range of sectors.
Health and Social Care
Data Science is changing the way healthcare is delivered through improvements on how we analyse health data, gain insights for personalised care, and utilise technologies to enhance access and improve preventative strategies, driving innovation and improving patient outcomes.
Space and Satellites
Professionals equipped with data science skills can effectively analyse and interpret space-related data, including satellite imagery and sensor data. By combining expertise in data science and space technologies, they can push the boundaries of space exploration, satellite communication, and earth observation.
Manufacturing
Data science skills help professionals in manufacturing by optimising production processes, identifying improvement opportunities, and implementing automation and advanced analytics solutions. This leads to increased efficiency, cost reduction, and improved competitiveness.
Autonomous Systems
Professionals armed with data science skills can analyse and interpret sensor information collected by autonomous systems, enabling them to improve performance and safety. By applying advanced data science techniques, they can develop innovative algorithms for real-time decision-making, anomaly detection, and system optimisation.
Finance
Finance professionals with skills in data science can analyse financial information, develop innovative models and strategies, and explore applications of fintech, ML for automated trading, risk management, and help develop transformative financial processes.
Education
Education professionals with skills in data science can gain insights into student performance, personalise instruction, and leverage technology for innovative learning platforms and adaptive systems, improving educational outcomes.
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