Overview
At Data Analytics course offered by University of Brighton your learning is informed by current business developments through case studies looking at real-world data sets, research questions and scenarios. You have the opportunity to collaborate on projects with our industry partners, and can also use your own data, project ideas and industry links.
Careers
In your career you need a combination of knowledge, skills, personal qualities and relevant experiences – and you’ll get all of this from your degree.
- With a flexible timetable to suit full-time or part-time students and commuters, and lecturers available to support you in your module choices, there are different study routes available to you.
- Build advanced research, analytical and communication skills through working on your dissertation.
- You will have access to computer and research labs equipped with specialist, sophisticated software including SAS, SPSS Statistics, SPSS Modeller, R, RStudio, Minitab, Maple and Matlab.
Get more details
Visit programme websiteProgramme Structure
Core modules:
- Data Management
- Programming for Analytics
- Data Visualisation and Analysis
- Business Analytics Strategy and Practice
- Industry project
- Multivariate Analysis and Statistical Modelling
- Stochastic Methods and Forecasting
- Data Mining and Knowledge Discovery in Data
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Generally there's no deadline for applying for a postgraduate course at Brighton.
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Brighton, United Kingdom
Disciplines
Data Analytics View 240 other Masters in Data Analytics 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
- Normally a 2:2 degree in a subject area with a substantial quantitative element (for example, maths, statistics, computer science, engineering, economics). Alternatively a 2:1 degree in any subject area will be considered if the applicant can demonstrate some familiarity with and aptitude for mathematics and statistics concepts and methods.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents17900 GBP / year≈ 17900 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents9750 GBP / year≈ 9750 GBP / year
Living costs
Brighton
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 Analytics.
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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