Big Data Science MSc

Companies, users and devices generate enormous volumes of unstructured data. Train to become a data scientist – a highly skilled professional who is able to combine state-of-the-art computer science techniques with modern methods of statistical analysis.

• Extract understanding from data and create new services that are based on mining the knowledge within this information
• Learn about how to create automated prediction, recommendation and classification services
• Gain skills for this highly-sought-after career path, where demand is expected to increase significantly over the coming years
• Benefit from the world-leading expertise in research at Queen Mary as well as our strategic partnership with IBM and other leading IT sector companies
• Learn from academics in our research groups, including: Networks, Centre for Intelligent Sensing, Risk and Information Management, Computer Vision and Cognitive Science

Facilities

The School has excellent bespoke facilities, including:

• Augmented human interaction (AHI) laboratory
• Dedicated computing cluster for Big Data processing jobs
• Informatics teaching laboratory with 350 state-of-the-art computers, and GPUs for machine learning
• Antenna measurement laboratory
• Listening room
• Media and arts technology studios
• Performance lab
• Robotics laboratory (ARQspace)

Career paths

Our postgraduates go on to work in a wide variety of careers, mostly within IT and information services. The broad range of skills gained through programmes in this School, coupled with multiple opportunities for extra-curricular activities and work experience, has enabled postgraduates to move into careers such as:

• Machine learning researcher
• Data scientist
• Head of data engineering
• Big data analyst
• Analyst
• Technical analyst.

Students need to have a 2:1 or above at undergraduate level in Electronic Engineering, Computer Science, Mathematics or a related discipline.