Overview
Key facts
London School of Economics and Political Science's Management Analytics in the Age of Big Data course offers students an overview of the economic potential of Big Data and AI. It begins by describing the rise of Big Data and the burgeoning field of AI, and proceeds to consider the implications of these new technologies for managers and for society as a whole.
With this foundation, students will examine managerial decision-making using data analytics. Big Data does not solve all of managers’ problems; even with increasing amounts of data and better AI, managers still need to make decisions under incomplete information (solve statistical inference problems) and to distinguish between correlation and causation (solve causal inference problems). Finally, students will learn how to apply their new understanding of statistical and causal inference to the construction of regression models.The course is designed to provide students with an understanding of the foundational elements of data analysis and the use of statistical thinking in the context of managerial decision-making in today’s age of big data.Programme Structure
Courses include:
- The rise of big data and AI technology and the role of managers in shaping their impacts on firms and society.
- The challenges that remain even in the presence of big data: statistical inference and causal inference.
- A statistical approach to managerial decision-making under uncertainty (applied statistical inference).
Key information
Duration
- Full-time
- 3 days
Start dates & application deadlines
- StartingApply anytime.
Language
Credits
Delivered
Disciplines
Management Studies Data Science & Big Data Data Analytics View 36 other Short Courses in Data Analytics in United KingdomAcademic 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.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
The course is designed to provide students with an understanding of the foundational elements of data analysis and the use of statistical thinking in the context of managerial decision-making in today’s age of big data.It will therefore be well-suited to anyone looking to embark upon a career or further studies in Business Management, Business Analytics or Consulting.
Tuition Fee
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International
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 3 days. -
National
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 3 days.
- Student rate: £2,950
- Standard rate: £3,950
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.