| 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. |
| Test Scores: | - International English Language Testing System (academic or immigration) or Pearson Test of English (Academic)
|
| Application Notes : | 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: 6.0 (minimum 5.5 in two components only, with 6.0 in the other two)
- PTE (Pearson): 52 (minimum 42 in two components only with 48 in the other two)
Test dates should be within two years of the course start date.
Other tests, including Cambridge English exams and the Trinity Integrated Skills in English are also accepted by the university. The full list of accepted tests can be found here: https://www.uea.ac.uk/apply/our-admissions-policy/english-language-equivalencies
|
| Additional Admission Requirements: | Bachelors degree (minimum 2.1 or equivalent) in Computing, Mathematics or a related subject is required. |
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.
