Computer Science News

Satalia is teaching Programming for Business Analytics

Satalia

Satalia, a spin-out of UCL, is further cementing its close links with academia by becoming the second company after Google’s DeepMind to teach a module in UCL’s computer science department.

Satalia is known for being a pioneer in applying AI techniques to industry, reinventing how organisations work and was the only British company named as a Gartner Cool Vendor in Data Science in 2016.  

Satalia has long supported dissertation projects within UCL, enabling students to do cutting-edge exploratory work with real industry clients. This partnership will enhance the students’ exposure to fascinating real world problems and prospective employers alike.  

Programming for Business Analytics, a core module in the MSc in Business Analytics course, will provide students with the practical skills needed to implement state-of-the-art AI techniques to solve challenges in both business and society. The module will provide a foundation to the data science and optimisation techniques in which Satalia specialise while diving into the programming skills required to leverage these technologies to make a real impact.  

This makes a compelling addition to the already pioneering Business Analytics programme. In recent years the programme has attracted a gender balanced annual cohort of 50 students from diverse backgrounds with its offer of a range of cutting edge business methodologies, augmented with deep technical skills in statistical methods, machine learning and natural language processing.  

“Computer science at UCL continues to go from strength to strength, and Satalia’s involvement is hugely exciting. Tuition directly from Satalia staff will provide our Masters students with a wonderful insight into data science in practice, preparing them well to make a real difference in the world.” Professor John Shawe-Taylor, Head of UCL Computer Science.


Posted 28 Jul 17 08:42
  • 2019: 5 items
  • 2018: 44 items
  • 2017: 69 items
  • 2016: 65 items
  • 2015: 49 items
  • 2014: 43 items