MSc Applied AI and Data Science

This postgraduate conversion course has been designed to increase AI and data science experts in the UK market with the support of the OfS and industrial partners, including IBM, Motion-Robotics, Barter For Things Ltd, 451 Research, and University Hospital Southampton. This course is also suitable for those who may not have a computer science or STEM academic background, but wish to start a new career in AI and data science.

Throughout the course you will explore fundamental principles and techniques, and will be supported to develop the practical skills to apply to AI and data science techniques to solve real-world problems.
The recent growth and developments in AI and data science is bringing significant social, economic, and health benefits to the world. Using AI and data science techniques, digital machines can analyse and learn from big datasets, and discover more efficient ways to do complex tasks and make intelligent decisions with much higher accuracy and speed than human beings.

Automation of routine or mundane tasks is also a big feature of AI. This is boosting the global economy by transforming business models across all sectors like healthcare, science, finance, banking, sales, marketing, manufacturing, engineering, construction, travel, leisure, hospitality, environmental monitoring, transport, and logistics. AI enabled applications have already become an integral part of our life. When you speak to Siri or interact with Cortana, AI and data science algorithms are running behind them. Other exciting applications include medical diagnostics, speech recognition and synthesis, robotics, autonomous vehicles, stock price prediction, chatbots, natural language processing, and language translation. Currently, AI is also being used to research Covid-19 treatments and vaccines.
The recent growth and developments in AI and data science is bringing significant social, economic, and health benefits to the world. Using AI and data science techniques, digital machines can analyse and learn from big datasets, and discover more efficient ways to do complex tasks and make intelligent decisions with much higher accuracy and speed than human beings.

Honours degree at 2:2 or higher in any discipline, or extensive industrial experience in this area. Applicants should be able to show an interest in learning coding, AI and Data Science techniques. Qualifications equivalent to the above may also be considered – contact the University for further information. We also consider candidates with alternative qualifications and related professional experience. Applicants who do not have English as their first language will be required to demonstrate an approved level of proficiency in the use of the English language. The agreed minimum requirements for this course are: IELTS minimum 6.0 overall with a minimum of 5.5 in each individual component, TOEFL IBT 92 with a minimum of 22 in writing and a minimum of 20 in reading, listening and speaking.