Southampton Data Science Academy Partnerships
Southampton Data Science Academy is committed to building partnerships with professional bodies and international education partners who can help tackle the global need to grow skills, knowledge and general literacy in data science and artificial intelligence.
Southampton Data Science Academy has worked with infoNation since inception to develop both its learning materials and to build valuable go-to market partnerships and alliances.
IDM - Institute of Data and Marketing
The IDM has partnered with the Southampton Data Science Academy to offer a new AI and Machine Learning for Marketers course. Courses will demystify AI and empower participants to develop strategies to take advantage of the opportunities ahead.
It will also help professionalise AI & Data Science across the marketing profession to embed a responsible and ethical approach and ensure an appropriate balance between humans and machines. Just as blue collar industries were transformed by industrialisation so AI will change the world of work for white collar professions.
In the last two decades, the marketing industry has been on a steady path to learning how to unlock the value of data to improve customer experience and to understand, attract and retain customers. In the next two decades, Artificial Intelligence (AI) presents an opportunity to accelerate and enhance the ways organisations harness data, spot trends more effectively and shift towards predictive rather than historical data analysis. AI will enable machines to automate processes so people are able to work on higher value activity.
More about the course here.
The Institute and Faculty of Actuaries (IFoA) is working with the Southampton Data Science Academy (SDSA) to present a certificate in data science jointly accredited by the Web Science Institute at the University of Southampton.
Initiated in response to demand from IFoA members, the Certificate is an introduction to the concepts, tools and techniques used in data science and their relevance within an actuarial context.
The Data Science Certificate is a part-time, online course which will require approximately 10 hours of study per week, across an eight-week period, with an additional two weeks to complete the final assignment. There’s no requirement for those undertaking the course to have any minimum programming skills.
Why should actuaries complete this certificate? UK Skills Champion for AI Dame Wendy Hall explains in this video:
Find out more about the Data Science Certificate.
Data science, machine learning and artificial intelligence will irrevocably impact the lifecycle of insurance.
In a drive to ensure everyone in the Lloyd’s marketplace can understand and use these concepts and tools, Lloyd's is partnering with the Southampton Data Science Academy to offer data science and / or artificial intelligence education for five learning cohorts.
Lloyd's marketplace employees can register their interest for the courses here.
Southampton Data Science Academy is delighted to be partnering exclusively with Saltlux Partners to take data science and AI education and learning to the people of the Korean peninsular.
Chabukaisix Learn was established by Chabukai6 Limited to help extend the reach of Southampton Data Science Academy’s learning propositions in South-East Europe (SEE) and to ensure content and delivery can be adapted as appropriate for local market conditions.
Chabukaisix Learn is licensed to distribute and re-sell SDSA learning. Courses delivered locally will be jointly accredited by SDSA and Chabukaisix Learn. Course syllabi is revised, and quality assured by SDSA.
The vision of the Chabukai6 Limited is that the growth of the SEE economies will be achieved only through rapid transformation of their educational and professional development training systems and establishing effective cooperation with the businesses.
The objective of Chabukai6 Limited is to contribute to the SEE economies to overcome the shortage of digitally skilled workforce by bridging the ICT and data skills gap in today’s increasingly data-driven world. This can be achieved only through provision of top-class study programmes, application of the knowledge, experience and approach of the best world universities, as well as by dynamic adaptation to the needs and requests of the SEE economies.