Overview
Our part-time MSc Data and Decision Analytics (Online) programme, delivered over 24 months, equips students with the skills to perform robust data analysis and translate insights derived from data into effective decision-making. This programme provides a unique and well-balanced curriculum focused on the two core pillars of modern analytics: predictive analytics and prescriptive analytics.
It also offers a range of state-of-the-art option courses. These equip you with innovative and efficient methods to solve complex data challenges.
Career opportunities
We expect the programme to open a range of career pathways in analytics for our graduates or to allow them to progress further within their existing career. Roles we anticipate to be among these pathways include:
- Analytics associates
- Business analysts
- Business consultants
- Business intelligence and analytics consultants
- Business process analysts
- Data analysts
- Data scientists
- Management consulting associates
- Metrics and analytics specialists
- Operational research consultants
- Solution architects
Get more details
Visit programme websiteProgramme Structure
Delivered through a blend of live online sessions and flexible online learning activities, this master's degree integrates academic learning with practical application.
Compulsory courses cover data analysis, programming, storytelling in data, AI methodologies, and statistical modelling. Option courses in data management, optimisation, and forecasting enable students to tailor their studies to their specific interests and career goals.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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- 98 accuracy using real exam data
- 4.9/5 student rating
Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Data Science & Big Data IT Management Data Analytics View 43 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
- Entrance to our MSc programmes is strongly competitive. You can increase your chances of a successful application by exceeding the minimum programme requirements.
- A UK 2:1 honours degree or its international equivalent in an area related to management science, operational research, statistics, econometrics, mathematics, physics, computer science, engineering, or business and management with mathematical-related courses.
- Your background should ideally include courses and/or experience gained in basic mathematics, such as standard concepts of calculus and linear algebra, probability, statistics, and/or computer programming.
- If you have a UK 2:1 honours degree or its international equivalent in an unrelated subject we may consider your application if you have relevant work experience.
- All students are recommended to have their own laptop for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents10200 GBP / year≈ 10200 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10200 GBP / year≈ 10200 GBP / year
Additional Details
*One half of the fee is payable at the beginning of each year of the MSc Data and Decision Analytics (Online) programme.
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 Data and Decision Analytics (Online).
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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