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University of Greenwich: Data Science (Online)
| Institution | University of Greenwich |
|---|---|
| Department | Greenwich Online |
| Web | http://www.gre.ac.uk |
| Telephone | 020 8331 9000 |
| Study type | Taught |
Summary
This online masters in Data Science will provide you with the skills and knowledge needed to build and advance your career in data science, data analytics and machine learning.
The MSc Data Science (Online) is designed to equip you with the analytical, technical, and problem-solving skills needed to extract meaningful insights from data and make evidence-based decisions in any sector. Designed for individuals from non-STEM backgrounds, this fully online programme provides a flexible route to study, supporting you to balance learning with work and your personal commitments.
Data Science is a well-sought and an increasingly important discipline in today’s world. Throughout the course you will explore in depth theoretical knowledge alongside practical skills, enabling you to build confidence and tackle real-world data challenges.
Whether you’re looking to enter a career in data science or advance your current expertise, this programme provides the skills and knowledge to succeed. Delivered through an engaging learning environment you will cover a broad range of topics including programming, visualisation, big data and ethics.
We are initially accepting applications from students in UK, India, Pakistan, Nigeria, Bangladesh and Republic of Ireland. If you are not eligible, please consider our on-campus courses, additional countries will be eligible next year.
What you should know about this course - Our course is designed and led by experienced experts.
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Comprehensive student support and global peer collaboration.
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100% online – study anywhere, anytime.
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You can begin your studies in September, January and April.
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Option to graduate in person at our beautiful Greenwich campus, a UNESCO World Heritage Site, situated in London.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. Applicants with a degree in another discipline should consider MSc Data Science and its Applications, [https://www.gre.ac.uk/postgraduate-courses/engsci/data-science-and-its-applications-msc] a specialist course designed for applicants from any degree background. |
Fees
| Channel Islands | 1850 GBP for Module |
|---|---|
| Republic of Ireland | 1850 GBP for Module |
| England | 1850 GBP for Module |
| Northern Ireland | 1850 GBP for Module |
| Scotland | 1850 GBP for Module |
| Wales | 1850 GBP for Module |
| EU | 1850 GBP for Module |
| International | 1850 GBP for Module |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. Applicants with a degree in another discipline should consider MSc Data Science and its Applications, [https://www.gre.ac.uk/postgraduate-courses/engsci/data-science-and-its-applications-msc] a specialist course designed for applicants from any degree background. |
Fees
| Channel Islands | 1850 GBP for Module |
|---|---|
| Republic of Ireland | 1850 GBP for Module |
| England | 1850 GBP for Module |
| Northern Ireland | 1850 GBP for Module |
| Scotland | 1850 GBP for Module |
| Wales | 1850 GBP for Module |
| EU | 1850 GBP for Module |
| International | 1850 GBP for Module |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject. Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered. Applicants with a degree in another discipline should consider MSc Data Science and its Applications, [https://www.gre.ac.uk/postgraduate-courses/engsci/data-science-and-its-applications-msc] a specialist course designed for applicants from any degree background. |
Fees
| Channel Islands | 1850 GBP for Module |
|---|---|
| Republic of Ireland | 1850 GBP for Module |
| England | 1850 GBP for Module |
| Northern Ireland | 1850 GBP for Module |
| Scotland | 1850 GBP for Module |
| Wales | 1850 GBP for Module |
| EU | 1850 GBP for Module |
| International | 1850 GBP for Module |
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