City's MSc in Data Science registers record intake
City University London's MSc in Data Science has registered the highest intake of any course in its first year in the Department of Computer Science. After high levels of interest, the postgraduate course received 108 applications, with 34 students joining the new and innovative program in October 2014.
Data Science is the scientific practice and process of extracting insight from large collections of data. City's course offering is unique because it draws on the Department of Computer Science's extensive research expertise in machine learning, neural computing, high performance computation, and visual analytics.
Students on the new program are drawn from a wide diversity of backgrounds such as computer science, maths, economics, management science and engineering with degrees from institutions including the Universities of Oxford, Cambridge, Leeds, Manchester, Bristol, Durham, Sydney, University College London, Queen Mary University of London, Southampton, Exeter and the University of California, Irvine.
Jack Russell, who read Natural Sciences and Management Studies at Cambridge University is among the first batch of students in the course's maiden year.
Attracted by City's location in central London, Jack says "City has by far the most comprehensive and relevant curriculum for my interests".
He says, too, that the program's focus on the commercially relevant application of cutting edge software and techniques was also a big plus, together with City's links to major innovative commercial enterprises in the tech sector.
For Jack, the Big Data module has been his favourite:
"This module has seen us programming in Spark via the PySpark API on day one. I'm enjoying getting familiar with this technology and putting theory from the lectures into practice."
Dr Artur Garcez, course director and Reader in Neural-Symbolic Computing in the Department of Computer Science says:
"This course is broader than computer science and includes analytical reasoning, statistical learning and interactions with visual interfaces. We have a large spectrum in terms of background and also a mix of recent graduates and those with more than 20 years of experience of things like data analysis, business intelligence, and databases. The students are very high quality and engaged with the content."