INTRODUCTION TO

DECISION SCIENCE

ONLINE COURSE

Make more informed, data-driven decisions based on insights

Insight360 (UAE) & Data Science Tech Institute (France), Introduction to Decision Science

ABOUT THIS 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 taking decision based on data and

you will apply decision science techniques every time to take an informed decision.

Over 3 weeks, you will explore what decision science means and you will acquire new skills that will help you taking

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 decision and what cognitive

science tell us about decision biases, how you can

take 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.

Price: 4,000 USD /Seat + Optional 2,700 USD for 20

hours of individual coaching to apply the course on

your business

Program duration: 3 weeks

Learning hours: 10 to 12 hours/week of learning,

entirely online

2 to 3 modules are released weekly, allowing a flexible but structured

approach to learning. You will be supported as you engage in individual

activities and group discussions, ensuring you feel confident to submit

your best work at each weekly deadline.

WHO SHOULD TAKE THIS COURSE?

This program is designed for anyone with an interest in using

advanced analysis to help making informed both managers and

data analysts or data scientists looking to grow their skills and

improve their decisions.

The content will also be useful for those with an existing

knowledge of data science, who would like to explore how to

use it to serve business strategies. Overall, the course will give

professionals interested in the built environment a competitive

edge, as it teaches skills that are relevant for analysis, valuation,

and informed decision making.

This course has no formal prerequisites, You will not be

expected to know programming, but you will manipulate few

lines of code written in the programming language R.

Insight360 (UAE) & Data Science Tech Institute (France), Introduction to Decision Science

WHAT YOU’LL LEARN

This program integrates rich, interactive online

courses, media such as videos, infographics, and e-

learning activities, as well as didactic components such

as downloadable course notes. There are also

opportunities for collaborative learning through

discussion forums. The following modules contribute

to the holistic approach your learning path takes:

ORIENTATION MODULE

WELCOME TO YOUR ONLINE CAMPUS

ONE WEEK before the program, you will be welcomed

to the course and begin connecting with fellow

participants, while exploring the navigation and tools

of your Online Campus. You will be alerted to key

milestones in the learning path and receive the

capstone (business context that you will be dealing

with during the course)

You will be required to complete a participant profile,

confirm your certificate delivery address, and submit a

digital copy of your passport/ identity document.

MODULE 1

Cognitive biases and why we need decision science

Understand what the common cognitive biases are and

how they can impact your decision then introduce

decision concepts.

MODULE 2

Multicriteria decision making

Learn how to evaluate multiples (conflicting) criteria as

part of decision-making process.

MODULE 3

Data Envelopment Analysis

Learn how to measure the efficiency of multiple

decision-making units (DMUs) when you have a

structure of multiple inputs and outputs.

MODULE 4

Optimization

Discover how optimization can help you to select

the best element when you have multiple variables

and multiples criteria to satisfy.

MODULE 5

Simulation

Discover how to use simulation to evaluate business

scenarios and what if analysis.

MODULE 6

Probability and statistics

Discover how to handle uncertainty using probability

and statistics.

MODULE 7

Prediction

Discover how to create predictive models and how

predictions can help you to uncover hidden knowledge

from your data

MODULE 8

Smart Decision Support System

Conclude by summarizing how all those techniques

should be aligned with business strategy and organized

in decision support system.

Insight360 (UAE) & Data Science Tech Institute (France), Introduction to Decision Science

YOUR PROGRAM EXPERTS

YOUR COURSE CONVENER Professors from Data Science Tech Institute and Decision Scientists from insight360 guide the course design

and provide live and interactives sessions. The sessions will be accessible along with course blackboard and

other course materials through DSTI learning platform “Moodle”. These experts offer feedback on real-life

challenges faced in the workplace, helping you to take your learnings beyond theory and into practical

application

Didier Auroux, PhD

Professor of Foundations of Applied Mathematics for Data Science & Continuous Optimization at University of

Nice Sophia Antipolis. His current research interests follow two major areas: Data assimilation for geophysical

problems and Image processing by topological asymptotic expansion.

Sebastien Corniglion, PhD

The Co-founder and CEO of DSTI. Sebastien graduated from the university of Nice Sophia-Antipolis and the

university of Edinburgh. He is a former adjunct professor at University Nice Sophia-Antipolis, EDHEC, IDRAC,

Thang Long University.

Nadiya Shavai, PhD

Data Scientist at VINCI Autoroutes and Assistant Professor of Mathematics Algebra and Number Theory at

National University of Kyiv-Mohyla Academy and She is Assistant professor of Artificial Neural Network at DSTI

Charles Bouveyron, PhD

International, leading researcher in statistics, holds an INRIA Chair of Excellence in “Data Science” and is the Director of the Master of Science in “Data Science and Artificial Intelligence” programme at Université Côte

d’Azur

Christine Malot, PhD

Professor of Foundations of Statistical Analysis & Machine Learning and Advanced Statistical Analysis &

Machine Learning at DSTI. She is Associate Professor of Mathematics and Senior Lecturer at the University

Nice Sophia-Antipolis.

Wesam Habboub

The Co-founder of Insight360. General Manager & Chief Consultant at Insight360. Expert in decision support

system and has been involved in more than 100 decision support projects to serve decision makers in public

and private sector. He is one of the key members behind the creation of the Smart Decision Support System

(SDSS) program.

Bassam Haniya

Advanced Analytics Manager and System Dynamics expert, Regional ME Role at Insight360. He is specialist in

decision science. He is one of the key members behind the creation of the Smart Decision Support System

(SDSS) program. Bassam is managing also the delivery of the educational programs.

Julien Jacques, PhD

Professor at Université Lumière Lyon 2. He is a member of ERIC laboratory, member of the DMD (Data

Mining and Decision) team. He is also external collaborator of the Inria MODAL team, and member of

executive committee of the French Statistical Society.

Insight360 (UAE) & Data Science Tech Institute (France), Introduction to Decision Science

A POWERFUL COLLABORATION In today’s world creation needs collaboration. At insight360 and Data ScienceTech Institute (DSTI) we firmly believe that collaborations between

companies and universities are critical drivers of the innovation economy.

While the academic Institutes like DSTI are years ahead of the business

world in their contextualized understanding of Decision and Data Sciences,

Companies like insight360 have the connection with business world

feedback, guidance and challenges. As both of our visions meet in being the

leading provider in data and decisions science knowledge and helping our

customers in building tools, abilities and culture that acts on data & facts.

We recognized the opportunity of working together and partnering in

providing our customers with our knowledge, experience and resources.

At Insight360 we are glad to establish our partnership with DSTI. This

strategic relationship will be the mainstay of our company research and

development (R&D). DSTI talented and experienced academic team will be

working hand in hand with our team in identifying our customers business

use cases and developing their strategy towards a data-driven-

organizations.

Our world is changing every day, and the human knowledge is doubling

every 12 hours. There is no time where taking our decisions based on data

& facts has been more crucial to our organizations and societies.

Enabling our customers and equip them with smart decision support

systems and empowering them with the knowledge of the latest theories of

data and decision sciences is our mission statement. Therefore, we have

launched our Decision Science educational program with the collaboration

of DSTI. The program will cover the main aspects of the Decision Science

and provide the program attendees with the needed practical knowledge

and understanding of Decision Science.

At insight360 we started our innovation and R&D efforts as early as our

company establishment in 2011. Our patented and regionally recognized

Smart Decision Support System (SDSS) methodology is a one of the main

results of our researches and innovation. The power of SDSS Program

comes from transforming decision science concepts and techniques to

structured and tangible decision support system completely aligned with

performance management and business strategy. SDSS is helping our

customers today to monetize their data assets into actionable and

meaningful insights assisting the decision makers to make informed

decisions.

The history has shown that academic institutes can provide the earliest look

at where the next big idea will come from. Insight360 leadership team

believes that companies who are aligned with early stage researches see

early signals of what is going to be the next big innovation.

DSTI & Insight360 Lab

Insight360 (UAE) & Data Science Tech Institute (France), Introduction to Decision Science

HOW YOU’LL LEARN Every program is broken down into manageable, weekly modules, designed to accelerate your learning process

through diverse learning activities:

• Online sessions with instructor where you can interact and ask questions

• Work through your downloadable and online instructional material

• Interact with your peers and learning facilitators through weekly class-wide forums and reviewed small group

discussions

• Enjoy a wide range of interactive content, including video lectures, infographics, live polls, and more • Investigate

rich, real-world case studies

• Apply what you learn each week to quizzes and ongoing project submissions

GENERAL REQUIREMENTS BASIC REQUIREMENTS

In order to complete this course, you’ll need a current email account and access to a computer and the

internet, Go To meeting to attend live sessions as well

as a PDF Reader. You will need to view Microsoft

PowerPoint presentations, and read and create

documents in Microsoft Word or Excel.

BROWSER REQUIREMENTS We recommend that you use Google Chrome as your

internet browser when accessing the Online Campus.

Although this is not a requirement, we have found that

this browser performs best for ease of access to

program material. This browser can be downloaded

here.

ADDITIONAL REQUIREMENTS

Certain programs may require additional software and

resources like R Software. These additional software and

resource requirements will be communicated to you

upon registration and/or at the beginning of the course.

INTRODUCTION TO

DECISION SCIENCE

ONLINE COURSE

Make more informed, data-driven decisions based on insights

Register now