Data Science MSc
This MSc programme is aimed at students who are interested in the cross-over between data analysis, computing and application. Students could, for example, hold a BSc in Mathematics and Statistics, a BSc in Ecology or Environmental Sciences, or a BSc in Computing, but backgrounds in other STEM (science, technology, engineering or maths) subjects are welcome to apply.
Within the programme, two specialism routes are available, statistical inference and Computing.
Statistical Inference Specialism
A data scientist is a highly skilled individual with the ability to: articulate a research question; gather, process and model data at large-scale (developing scalable algorithms for performing inference and modelling complex and heterogeneous data structures) and to disseminate research findings in context.
This specialism provides a thorough training in data science fundamentals but with added focus upon statistical modelling and inference. Students will gain thorough training in computing, data science technologies, statistical inference, statistical modelling and applied data analysis. The MSc will involve a mixture of taught modules and a research dissertation with a placement in industry or with a research organisation.
Underpinning the data scientist role are the technologies that enable the processing of data at large-scale, often using parallel processing paradigms.
This specialism provides the training to understand how these technologies function and how they are implemented within both enterprise and research environments. Students will get hands-on experience of building, from scratch, large-scale systems that enable data science questions to be answered, using technologies such Hadoop, Spark, Giraph, and HBase. This MSc will involve a mixture of taught modules and a research dissertation with a placement in industry or with a research organisation.
- Applied Social Statistics : PhD
- Communication Systems : MSc
- Communication Systems (by research) : MSc
- Communications Systems : PhD
- Computer Science : MSc
- Computer Science : PhD
- Computer Science (by research) : MSc
- Cyber Security : MSc
- HighWire : MRes
- HighWire : PhD
- Mathematics : PhD
- Quantitative Methods for Science, Social Science and Medicine : MSc
- Quantitative Methods for Science, Social Science and Medicine : PGCert
- Quantitative Methods for Science, Social Science and Medicine : PGDip
- Statistics : MSc
- Statistics : PGDip
- Statistics : PhD
- Statistics and Operational Research (STOR-i) : MRes
- Statistics and Operational Research (STOR-i) : PhD
Search Our Courses
For Entry: 2015
Director of Studies: Dr Matthew Rowe.
Duration: 12 months.
Entry requirements: A second class honours degree, or its equivalent, in a subject relevant to Computer Science, Mathematics or Statistics.
IELTS: 6.5 or equivalent.
Assessment: Coursework and examination.
Funding: All applicants should consult our information on fees and funding.
Duration: Full time 12 Month(s)
Department: Computing and Communications (School of)
Phone: +44 (0)1524-510311
For information on the course structure as followed by our current students, please see Lancaster University's Online Courses Handbook