find your perfect postgrad program
Search our Database of 30,000 Courses
The University of Edinburgh: Data and Decision Analytics (Online Learning)
Institution | The University of Edinburgh View institution profile |
---|---|
Department | Business School View department profile |
Web | https://www.business-school.ed.ac.uk |
Study type | Taught |
Summary
The MSc Data and Decision Analytics programme prepares you to not only be able to analyse and digest data, but also to translate this into effective decision-making in this Big Data Age.
You will learn from world-class faculty how to apply cutting-edge business analytics and computing tools to make data-driven decisions in a plethora of business areas, such as:
-
strategy
-
marketing
-
finance
-
human resources
-
technology and equipment
-
operations
The courses provide you with methodological foundations and techniques, as well as applications in business, management, and economics.
To enhance your learning experience, develop your practical skills in analytics, and prepare you for the job market, the programme uses a combination of:
-
problem-based learning
-
case study-based learning
-
hands-on experience using prominent analytics software
Through a balance of academic theory, crucial soft skills and the very latest industry practice, the programme provides opportunities for you to gain experience in planning, designing, executing, and reporting findings to a critical audience of specialists and non-specialists.
You will also gain experience through research processes, such as:
-
primary data collection from individuals
-
securing their cooperation and consent
-
analysing and evaluating data
-
framing recommendations
-
other methods of field study and data collection
You will learn how to communicate complex ideas and information in a coherent and structured manner throughout the programme courses. The programme also provides opportunities for you to engage with each other through group projects, discussion forums and peer assessment.
The distinguishing feature of the MSc in Data and Decision Analytics (online learning) is that it will expose you to unique and balanced courses in the two most important analytics areas, namely, predictive and prescriptive. This enables you to not only make use of state-of-art machine learning methods to predict and understand data behaviours, but also to effectively apply decision optimisation to make better informed decisions as current business managers. The programme combines a plethora of state-of-the-art elective courses that enable you to make use of the most innovative and efficient methods to solve data and decision analytics problems.
MSc
Level | SCQF Level 11 |
---|---|
Entry requirements | Entry requirements for individual programmes vary, so please check the details for the specific programme you wish to apply for on the University of Edinburgh website. You will also need to meet the University’s language requirements. |
Location | Central area campus George Square Edinburgh EH8 9JZ |
About the University of Edinburgh Business School
The University of Edinburgh Business School sits at the heart of the University, ranked 22nd in the world (QS, 2024), and of Scotland’s magnetic capital city. The Business School upholds a long tradition of top-grade teaching, stand-out research, and community connection, first welcoming students in October 1919. The Business School’s portfolio of postgraduate degrees explores critical themes that drive positive impact, including Climate Change Finance & Investment and Finance, Technology, & Policy. The MBA programme flexes to fit the needs of students, welcoming new members to an expansive, international network. With world-leading …
View ProfileNot what you are looking for?
Browse other courses in Decision making or Data analysis, or search our comprehensive database of postgrad programs.Scholarship Opportunity with Postgrad.com
Are you a PG student at this University or have you applied to study a postgraduate program at a university in Europe? Tell us your plans and qualify for a £500.00 PGS Scholarship.
Click here