Data Science Masters Information Session
Wednesday, 18 June 2014 from 15:00 to 17:00 (BST)
Lancaster, United Kingdom
San Francisco, California
London, United Kingdom
A chance to come and find out all about the Data Science Masters programmes at Lancaster University.
Data are now being produced at an unprecedented rate and scale. Whether they come from environmental sensors, social media streams, businesses, or public sector organisations, there is a need to process these data sets and extract information, thereby allowing business and research questions to be answered. This is the job of the Data Scientist whose role involves: research question formation, gathering and integration of data, data mining and visualisation, statistical modelling and inference and forecasting and prediction.
The Lancaster Data Science programme is inter-disciplinary, combining teaching from three world-leading departments. The School of Computing and Communications (SCC) delivers programming, systems development and machine learning content; the Department of Mathematics and Statistics provides training in statistical methods, modelling and inference; and, the Lancaster Environment Centre (LEC) offers specific training in environment science and research methodology. The syllabus combines specialist subject knowledge principled in the belief that the greatest opportunity for innovation comes from working across disciplines.
The Faculty of Science and Technology at Lancaster University offers 45 MSc Scholarships in Data Science. Starting in October 2014, these scholarships are available to Home and EU students and cover the cost of tuition fees. Further financial support is also provided by a placement bursary. Programmes open for applications are:
- MSc: Data Science
- Statistical Inference specialism
- Computing specialism
- MSc: Data Science for the Environment
Each variation of the degree scheme consists of five core modules, to include Data Science Fundamentals, Programming with Data and Statistical Modelling, a number of specialism specific modules and a dissertation project. The dissertation is facilitated by an internship within an organisation, providing hands-on experience of the role of the Data Scientist.
Typically, we expect to recruit students who are interested in the interface between statistics, data analytics, computing and application. These could, for example, hold a BSc in Mathematics and Statistics, a BSc in Ecology or Environmental Sciences, or a BSc in Computing, but students with other STEM (science, technology, engineering or maths) subjects are welcome to apply. Admission to the Master’s programme requires a minimum of a ‘good’ second class Honours degree.
See www.lancaster.ac.uk/data-science for further details.
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Postgraduate Visit Day
For those of you visiting Lancaster for the first time, the 18th June is also a Postgraduate Visit Day, You are welcome to sign up to a campus tour at http://www.lancaster.ac.uk/study/visit-days-and-campus-tours/postgraduate-visit-days/ The tour (1:30pm) has been timed such that you can be brought straight to the Data Science session. If you are interested in the tour, you will need to sign up to both it and the Data Science session.
Data Science Research Group Seminar
At 11am on the 18th June, the Data Science Research Group within the School of Computing and Communications is also holding a seminar. If you are interested in hearing about one of the specific elements of research taking place in this domain, please register your interest by sending an email to Dr Matthew Rowe
Online Web Chat
We are holding an Online Web Chat on Monday 30 June at 4pm (UK), 6pm (EEST)
This session is primarily aimed at European and International students, but UK students are welcome to join too. It is a chance to have any questions that you may have about the Data Science MSc programmes answered.
When & Where
InfoLab21, Lancaster University
InfoLab21 is Lancaster University's world-class ICT Centre of Excellence.
It is a well equipped, high-tech environment providing ICT support for businesses, business incubation facilities, ICT education & training, and research & development.