This programme is offered either full and part time basis.
This course is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining and statistics with the chance to customise your degree through modules in artificial intelligence, visualisation, programming and database manipulation.
Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of a modern business. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills.
We have a large Data Mining, Machine Learning and Statistics research group, which has made significant contributions to the field in the last 10 years, so you’ll be working directly with pioneering experts.
Degree Subject Computing, Mathematics or a related subject. Degree Classification Good first degree (minimum 2.1 or equivalent).
Students for whom English is a Foreign language
We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows:
IELTS: 6.5 (minimum 6.0 in all components)
PTE (Pearson): 62 (minimum 55 in all components)
Test dates should be within two years of the course start date.
Compulsory Study (120 credits)
Students must study the following modules for 120 credits:
RESEARCH TECHNIQUES RESEARCH METHODS
Option A Study (20 credits)
Students will select 20 credits from the following modules:
Option B Study (40 credits)
Students will select 40 credits from the following modules:
AUDIO AND VISUAL PROCESSING
HUMAN COMPUTER INTERACTION
Business intelligence analyst
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