Decision Science Educational Program

While data science is perhaps the most broadly used term, ‘decision science’ is the more fitting description of how machines are assisting business leaders in solving problems that have traditionally relied on human judgment, intuition and experience. Decision Sciences is an interdisciplinary field that draws on economics, machine learning, statistical decision theory, operations research, forecasting, behavioral decision theory and cognitive psychology 

Insight 360 (UAE) and Data Science Tech Institute (France) have designed a practical program for decision-makers, data analysts and consultants to introduce the concepts of decision science and how they can be used in improving their daily decisions. The program introduces you to the application of decision science techniques and concepts such as Multicriteria Decision Making, measure efficiency using Data Envelope Analysis, optimization and simulation. while teaching you what are those concepts and how can be used in your business to generate insights and move from descriptive to prescriptive analytics. The program will be run as capstone where you will be a decision-maker of hypothetical business context challenging you every time by making a decision based on data and you will apply decision science techniques every time to make an informed decision. 

Over 3 weeks, you will explore what decision science means and you will acquire new skills that will help you make informed decisions based on smart insights generated from data.

 

What The Course Covers

By making complex decision science techniques more accessible to nontechnical professionals, this program provides you with the knowledge to harness decision skills in your real-life as a manager. 

Over the course of the program you’ll examine the challenge of making a decision and what cognitive science tell us about decision biases, how you can make a decision when you have multiple criteria to choose from, how you can evaluate the efficiency of multiple decision-making units when you have multiple inputs and outputs, how you handle uncertainty, when and how you can use optimization to get the best scenario, when and how you can use simulation as scenario evaluation and finally how you can structure those tools in smart decision support system. 

Guided by industry experts and top scientists in Europe you will develop an understanding of the practical opportunities and challenges of using these data-driven methods to support your decisions. 

On completing this course, you will understand how decision science techniques can be practically applied to extract meaningful insights and how these insights can support a holistic decision.