Overview
Big data analytics is the process of using advanced analytics against large quantities of data to uncover hidden patterns, correlations, market trends and much more, which can help businesses to make business decisions.Big data is a term applied to data sets that are too large, diverse or complex to be analysed through traditional data-processing software. Big data analytics allows businesses to harness their data and identify new opportunities, which can lead to more efficient operations and higher profits.
Key facts
This online big data analytics programme will provide you with a specialist qualification in an area of computing which has seen rapid growth and had a transformational effect across many different industries and sectors. The programme will provide you with a comprehensive understanding of both the technology that supports big data analytics and the practical application of this technology in the context of business information and real-world problems.The programme is delivered 100% online, making it perfectly suited to its subject matter, within an international virtual classroom that offers a unique global perspective. The content has been developed by experts from the University of Liverpool ’s Department of Computer Science – an institution that is globally renowned for the strength of its research into computer science, artificial intelligence and emerging technologies.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Global Trends in Computer Science
- Data Visualisation and Warehousing
- Machine Learning in Practice
- Cloud Computing
- Security Engineering and Compliance
- Deep Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
- StartingApply anytime.
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
Delivered
Campus Location
- Liverpool, United Kingdom
Disciplines
Data Analytics View 43 other Masters in Data Analytics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
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
- A degree in computer science or a closely related subject, equivalent to a 2:2 UK bachelor’s degree, coupled with two years’ relevant IT professional experience
- Professional work experience and/or other prior qualifications, which will be considered on a case-by-case basis.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents8678 GBP / year≈ 8678 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents8678 GBP / year≈ 8678 GBP / year
Funding
In 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 Big Data Analytics.
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