Overview
Throughout this Data Science programme from UWE Bristol (University of the West of England) you'll learn to understand organisational requirements and ethical conduct; design research studies; and employ data engineering skills to gather, transform and clean small and large-scale data.
Career opportunities:
Studying the role of a data scientist, you'll become familiar with areas such as ethical practice and data for sustainable development; research methods, data gathering and exploratory data analysis; and programming principles (including R, Python and HTML/Javascript).
- Your knowledge of the latest data science methods and tools will put you in a strong position to secure work as a data scientist, business analyst, data engineer or develop a career path toward chief data officer.
Accreditation
This course is accredited by The Chartered Institute for IT (BCS).
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Programming for Data Science
- Statistical Learning
- Data Science Masters Project
- Data Management
- Process and Practice in Data Science
- Integrative Team Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
Language
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
Credits
Delivered
Campus Location
- Bristol, 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
- We normally require an honours degree at 2:2 or equivalent in a relevant subject. Experience with quantitative methods and/or coding is highly recommended.
- Relevant subjects include: Computer Science, IT or other computing subjects, Maths, Statistics, any Engineering subject, any quantitative subject such as Physics, Chemistry, Business, Marketing, Economics, Psychology and Social Sciences.
- You are required to complete a personal statement for this course.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents18000 GBP / year≈ 18000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11500 GBP / year≈ 11500 GBP / year
Additional Details
Part-time fees:
- Home Module Fee (15 Credit): 958£
- Offshore Module Fee (15 Credit):1500 £
Living costs
Bristol
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.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility