Overview
Throughout the Data Science for Business and Innovation from Regent's University London by combining advanced analytics and technology with responsible practice and foresight, you’ll learn to leverage data as a strategic asset – covering governance, privacy, ethics and the full data lifecycle.
Building on this foundation, you’ll harness statistical modelling and emerging technologies like AI and blockchain to make informed decisions. You’ll design end-to-end strategies and develop solutions using industry tools including Python and SQL to tackle real business challenges – from declining sales and customer churn to fraudulent transactions. You’ll also cover data visualisation and storytelling, using Power BI and Tableau to transform complex information into actionable insights that provide tangible value to decision-makers.
Data governance and ethics are central to responsible practice, and leading with integrity underpins every data-driven decision. You’ll learn to map data lineage, set quality and privacy protocols, conduct ethical impact assessments and ensure all data practices closely align with regulatory standards.
Career opportunities:
You'll graduate with the specialist skills to leverage data in any business environment, formulating informed solutions and driving innovation. Roles you could go into include:
Data Strategy Consultant
Business Intelligence (BI) Manager
Data Business Manager
Applied Data Science Specialist
Analytics Consultant
Digital Transformation Analyst (data focus)
Customer Analytics Manager
Data Operations Manager
Business owner or entrepreneur
Programme Structure
Courses include:
Data Visualisation and Value Creation
Emerging Technology Frontiers
Masters' Perspectives
Language or Special Elective
Data Lifecycle Management, Ethics and Governance
Data Modelling and Machine Learning
Professional Perspectives
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Regent's takes applications throughout the year.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Innovation Management Data Science & Big Data View 176 other Masters in Innovation Management in United KingdomWhat 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're interested in your potential, as well as your prior achievements – and we review each application comprehensively on its own merit. You'll need one of the following qualifications:
- Minimum second class UK undergraduate degree
- Equivalent international qualifications, as deemed acceptable by Admissions & UK ENIC
Tuition Fees
-
International Applies to you
Applies to youNon-residents28750 GBP / year≈ 28750 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents28750 GBP / year≈ 28750 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science for Business and Innovation.
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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