Overview
Organisations hold more information about their business environments than ever before. Increasingly, these organisations are recognising the role of data science in gaining insights and out-thinking competitors. As a result, there is a growing demand for employees and managers who have advanced analytics skills and the ability to make informed decisions that drive organisational success.
Predictive analytics is being adopted across many business sectors to predict trends and build models that support proactive business decisions and identify both risks and opportunities.
This Predictive Analytics for Business Applications MicroMasters Program in collaboration with The University of Edinburgh - EdinburghX has been designed by the University of Edinburgh to equip you with the skills to successfully set up and deploy your own predictive analysis. The program breaks the process down into four key parts that will help you to develop strong capabilities in this field.
You will be introduced to the major concepts used in a predictive model, learn how to prepare data for modelling, and build predictive models using a range of statistical and machine learning methodologies on a variety of real-life datasets. You will discuss, evaluate, implement, and test each approach to get you acquainted with performing a solid predictive exercise.
Job Outlook
- Demand for Business/Management Analyst roles in the USA is predicted to grow by 14.3% over the next 10 years, attracting an average annual salary of $81k. (Source: Bureau of Labor Statistics (projected growth) and Burning Glass analysis)
- Skills such as Python and machine learning are in very high demand in virtually every business sector
- A deep understanding of predictive analysis has become pivotal to business success
- Career opportunities include business analyst, data scientist and management consultant
Programme Structure
What you will learn- Identify various business settings in which predictive analytics can be used
- Formulate a predictive model suitable for a broad range of problem scenarios
- Build and use predictive models both for classification and regression problems
- Implement insights in Python
- Interpret predictive models to solve business problems, and critically reflect on their outcomes
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
Language
Credits
Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Business Administration Business Intelligence International Business View 101 other preparation in International Business in United KingdomWhat 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
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites
- This MicroMasters program is intended for those who have undergraduate level or equivalent professional experience/background in mathematics, statistics or similar subject area (linear algebra, calculus etc.). Previous experience with a procedural programming language is beneficial (Java, C, Python, Visual Basic etc.)
Tuition Fees
-
International Applies to you
Applies to youNon-residents1350 USD / year≈ 1350 USD / year -
Domestic Applies to you
Applies to youCitizens or residents1350 USD / year≈ 1350 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Predictive Analytics for Business Applications MicroMasters Program.
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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