Msc big data science electronic engineering

Structure

Programme Structure

MSc Big Data is currently available for one year full-time study, two years part-time study.

The programme is organised in three semesters. The first semester is composed by three core modules plus one optional module that cover the foundational techniques and tools employed for Big Data Science analysis.

The second semester has four modules that are chosen among a set of options. The module selection allows students to focus on domain-specific research or industry applications for Big Data Science. Module options allow students to specialize in several areas: Computer Vision, Internet Services (Semantic Web and Social Media), Business, and Internet of Things.

Students carry out a large project full time in the third semester, after agreeing to a topic and supervisor in the first semester, and completing the preparation phase over the second semester.

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator

• Applied Statistics
• Big Data Processing
• Data Mining

• Machine Learning
• Introduction to IOT
• Semi-structured Data and Advanced Data Modelling
• Introduction to Object-Oriented Programming

Semster 2

Four options from:

• The Semantic Web
• Digital Media and Social Networks
• Bayesian Decision and Risk Analysis
• Cloud Computing
• Data Analytics
• Deep Learning and Computer Vision
• Maching Learning for VIsual Data Analytics

Please note that modules are subject to change.

Visit the School of Electronic Engineering and Computer Science website.

Contact:

Jenny Richards, Postgraduate Administrator
School of Electronic Engineering and Computer Science
Tel: +44 (0)20 7882 7333
email: