Overview
Organisations today have a vast amount of raw data generated from their computerised operational systems. So how will they turn this into high quality information for strategic decision-making? They need a new generation of data analysts who understand effective and efficient data analysis methods and the Knowledge Discovery and Data Mining (KDD) process.
This Data Science course at the University of East Anglia – one of the most established in this area with over 15 years of history – offers an excellent platform to help you forge a successful career in data analysis.
As a student, you will be part of our vibrant research community and will have very good opportunities to progress to a PhD. You will be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction; time series classification as well as many applications in the financial services industry, medicine and telecommunications.
Careers
- Data scientist
- Data analyst
- Data miner
- Business intelligence analyst
Accreditation
This course has been accredited by the British Computer Society for full CITP and partial CEng. Accreditation means that a candidate has fully or partially fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and Chartered or Incorporated Engineer (CEng / IEng) and / or a Chartered Scientist (CSci) and / or Registered IT Technician (RITTech).
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Applied Statistics
- Data Mining
- Dissertation
- Research Techniques
- Artificial Intelligence
- Information Visualisation
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Norwich, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Degree classification UK Bachelors degree - 2.2 or equivalent
- Degree Subject Computing, Mathematics or a related subject. Your application should also demonstrate some programming experience either in other qualifications or work experience.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents24500 GBP / year≈ 24500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11775 GBP / year≈ 11775 GBP / year
Living costs
Norwich
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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