Data Science and Analytics MSc at Brunel University of London

From social networks, ecommerce and government through to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale. But big data is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier to unlocking everything that data has to offer.

Faculty: College of Engineering, Design and Physical Sciences  |  Department: Department of Computer Science  |  Duration: 1 year full-time; 2 years full-time with placement; 2 years part-time; 15 months full-time; 27 months full-time with placement; 3 year (staged study) part-time  |  Study mode: full-time; part-time; placement year option  |  Intake: January; September  |  Location: London, England, United Kingdom

What you will study

This incredibly relevant and current course will equip you with all the skills you need to venture out into the world of analytics and big data. Compulsory modules include Data Visualisation, Research Project Management, Ethics and Governance of Digital Systems, Digital Innovation and Strategy, Machine Learning, High Performance Computational Infrastructures, Quantitative Data Analysis and Visualisation and others.

Career pathways

Your MSc in Data Science and Analytics from Brunel will equip you to work in leading data science organisations. Companies seeking to employ our data science graduates include Accenture, AstraZeneca, AXA Insurance, British Airways, Capgemini, Experian, FICO, GE Healthcare, HSBC, nPower, Orange, PayPal, Sopra and Waitrose.

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