Overview
Explore the fundamentals of big data, data visualisation and applied machine associate software tools with the Data Science and Analytics (with Advanced Practice) course from Teesside University London .
You explore the professional, ethical, security and social implications of future data science technologies. And you develop the transferable skills you need to progress into industry.
Career opportunities
The increasing need to leverage big data has pushed so many industries to hire data scientists to predict outcomes and provide meaningful interpretations. Companies hiring data science professionals include American Express, AstraZeneca, BBC, IBM, Mastercard, Rolls Royce, Space Ape Games, Warner Bros. Entertainment, WhatsApp, and more.
As a graduate, you can expect to work in an increasing number of sectors needing specialists equipped with the cutting-edge expertise in financial and digital technologies.
You graduate prepared for a career in industry. And you have opportunities to meet and network with our industry partners through ExpoTees, our event to showcases student work to industry.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Big Data and Data Visualisation
- Data Security and Information Governance
- Machine Learning and Deep Learning
- Masters Project
- Statistics for Data Science
Check out the full curriculum
Visit programme websiteKey information
Start dates & application deadlines
- Starting
- Apply before
-
- StartingApplication deadline not specified.
- StartingApplication deadline not specified.
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
- London, United Kingdom
Disciplines
Data Science & Big Data Data Analytics View 243 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
- You normally need to have a first degree (at least a 2.2), relevant experience or equivalent qualifications. Any subject is considered, excluding computer science, artificial intelligence and data science.
- Entry from some disciplines including computing and information technology depends on course content. You need to provide a full transcript of studies for our admissions team to determine eligibility.
- International students require IELTS 6.0 or equivalent.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents10000 GBP / year≈ 10000 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents5418 GBP / year≈ 5418 GBP / year
Additional Details
- Fee for UK applicants £5,417.50 a year
Living costs
London
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 and Analytics (with Advanced Practice).
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