Msc in DATA SCIENCES & BUSINESS ANALYTICS

MSc IN DATA SCIENCES & BUSINESS ANALYTICS

WEALTH CREATION ENGINE 2 3

ESSEC Business School, The Pioneering Spirit

CREATED IN 1907, ESSEC BUSINESS SCHOOL IS AN ACADEMIC INSTITUTION OF EXCELLENCE WHICH THROUGHOUT ITS HISTORY HAS BEEN CHARACTERIZED BY ITS PIONEERING SPIRIT.

In both full-time education and executive education, ESSEC proposes a wide range of programs to all those wanting to obtain an extraordinary learning experience, strengthen their talent, express their leadership and become truly high-level managers. A centennial institution with a wide network of academic and corporate partners throughout the world, ESSEC has opted to focus its strategic development on three principles: innovation, involvement and International internationalization which compose the three axes of the ESSEC 3i strategy. Rankings Business Education An institution nourished by research and committed to an ambitious development of alliances with leading 2017 institutions, ESSEC constantly strives to bring its students face to face with cutting-edge knowledge at the crossroads of discipline and to provide them with the latest technologies. ESSEC’s academic excellence is notably recognized through its highest international standards in management training and holds the #5 prestigious «triple crown» of accreditations: EQUIS, AACSB and AMBA. Master of Science in Management Hallmarked by a profound humanistic tradition, ESSEC has succeeded not only in making the link between business and society a major subject of research, but it is also one of the fundamental components in the training of responsible managers. ESSEC thereby affirms the necessity of putting innovation, knowledge and #3 the creation of value at the service of the wider community. Master in Finance With students coming from 98 different countries, a largely international faculty body and a campus in the Asia- Pacific region since 2005, ESSEC is both an international and multicultural institution. Its internationalization #18 is strengthened by a new 6,500 m2 campus in Singapore and an ESSEC Africa-Atlantic campus in Rabat, Executive Education Morocco, inaugurated in April 2017. Programs These three axes – innovation, involvement and internationalization – forge ESSEC’s learning philosophy that is common to all its programs: accompany our students throughout a learning journey aimed at opening them up to new, unthought-of opportunities. Studying at ESSEC means creating your own path towards the future and joining a supportive community of 50,000 graduates worldwide!

Welcome to ESSEC!

50,000 7 29 graduates worldwide 5,867 5,000 21 162 students in full-time undergraduate and graduate programs managers in executive education

4 2,000 195 centers corporate permanent faculty double degree campuses in Cergy, degrees awarded each year, partner Paris-La Défense, including 1,600 universities of excellence chairs of 36 nationalities programs 34% 98 +100 Singapore and Rabat at graduate level in 43 countries including 20 emeriti (24 international, international nationalities student professors 5 national) students represented organizations +500 partner companies in education and recruitment 2 3

ESSEC Business School, The Pioneering Spirit

The digital revolution is currently transforming the world as we know it: disrupting CREATED IN 1907, ESSEC BUSINESS SCHOOL IS AN ACADEMIC INSTITUTION OF EXCELLENCE WHICH all of our ingrained habits and opening up new domains of which we cannot yet THROUGHOUT ITS HISTORY HAS BEEN CHARACTERIZED BY ITS PIONEERING SPIRIT. grasp their full extent. Therefore, in this digital age, processing vast quantities of data has become a major issue for companies and for society as a whole. This In both full-time education and executive education, ESSEC proposes a wide range of programs to all those digital frontier offers an incredible opportunity for young graduates who are in a wanting to obtain an extraordinary learning experience, strengthen their talent, express their leadership and unique position to blend technological, managerial and cross-cultural savoir-faire. become truly high-level managers. A centennial institution with a wide network of academic and corporate partners throughout the world, In order to train the ‘digital architects’ who will be able to seize this opportunity, ESSEC has opted to focus its strategic development on three principles: innovation, involvement and ESSEC and CentraleSupélec have joined forces to develop a radically original program: the MSc in Data Science & Business Analytics. This program is part of a International internationalization which compose the three axes of the ESSEC 3i strategy. major alliance between two world-renowned institutions, which share the same Rankings Business Education An institution nourished by research and committed to an ambitious development of alliances with leading passion for excellence and a willingness to anticipate the needs and challenges 2017 institutions, ESSEC constantly strives to bring its students face to face with cutting-edge knowledge at the of the future. crossroads of discipline and to provide them with the latest technologies. ESSEC’s academic excellence is notably recognized through its highest international standards in management training and holds the With this program, we offer ambitious students a unique experience thanks to #5 prestigious «triple crown» of accreditations: EQUIS, AACSB and AMBA. the professors at our two institutions who are recognized for their expertise, Master of Science their excellent research and in particular for their ability to build and transmit in Management Hallmarked by a profound humanistic tradition, ESSEC has succeeded not only in making the link between cutting-edge knowledge. business and society a major subject of research, but it is also one of the fundamental components in the training of responsible managers. ESSEC thereby affirms the necessity of putting innovation, knowledge and Becoming a MSc in Data Sciences & Business Analytics student will give you the st #3 the creation of value at the service of the wider community. chance to succeed in the rapidly evolving 21 century; in a world both complex Master in Finance and uncertain where the control of data becomes an invaluable asset to opening With students coming from 98 different countries, a largely international faculty body and a campus in the Asia- a number of doors. Pacific region since 2005, ESSEC is both an international and multicultural institution. Its internationalization #18 is strengthened by a new 6,500 m2 campus in Singapore and an ESSEC Africa-Atlantic campus in Rabat, Do you share our pioneering vision? Executive Education Morocco, inaugurated in April 2017. Enroll in the ESSEC CentraleSupélec MSc in Data Sciences & Business Analytics Programs program. These three axes – innovation, involvement and internationalization – forge ESSEC’s learning philosophy that is common to all its programs: accompany our students throughout a learning journey aimed at opening them up to new, unthought-of opportunities. Studying at ESSEC means creating your own path towards the future and joining a supportive community of 50,000 graduates worldwide!

Welcome to ESSEC!

50,000 7 29 graduates worldwide 5,867 5,000 21 162 students in full-time undergraduate and graduate programs managers in executive education

The core of business decisions

Society has entered a new digital era where the creation, consumption and use of digital content have changed our lives. The proliferation of sensors, the internet of things, digital services and communication continuously produce highly hete- rogeneous, highly unstructured and high dimensional data hardly interpretable from human intelligence.

Reasoning from and mining this data constitutes a novel way to think out of the box, analyze, address unsolved problems and obtain new solutions. It is provides a wealth creation engine through the introduction of novel practices, services and policies. The future of business intelligence therefore relies jointly on mastering the science of data and the techniques of business analytics which have become the pillars of such interdisciplinary efforts.

An intelligent use of data nowadays forms the core of business decisions and constitutes the driving force of the societal and economic evolution of the years to come. It is probably one of the most important topics of our days. Analysts estimate that data-related businesses generated about 10 billion dollars in recent years, and will probably generate more than 30 billion dollars in the years to come.

The growth in job opportunities is tremendous: companies and organizations will need a couple of hundred thousand data scientists, business analytics and digital transformation strategists leaders in the next few years. Moreover, the exponen- tial growth in content generation will bring about a huge need for highly qualified individuals with an in-depth knowledge and a global understanding of the technological and business challenges underlying the digital evolution era.

Recent business studies converge to an estimated need of educating several million data scientists and digital leaders within the decade to come. This is why two prestigious French Grandes Ecoles ESSEC Business School and CentraleSupélec have partnered to propose this very innovative and complete program. We believe that truly innovative leaders must be both business savvy and erudite in data sciences. Hence we propose a unique program where students learn and combine the key skills in innovation and wealth creation that companies will increasingly require.

Guillaume Chevillon Nikos Paragios Academic Co Director Academic Co Director, D.Phil. in Economics, University of Oxford (UK) D.Sc. in Electrical and Computer Engineering, Professor of Econometrics & Statistics UNSA&INRIA (France) ESSEC France Professor of Applied Mathematics & Computer Science, CentraleSupélec

Yan Li Associate Academic Co Director Ph.D. in Information Systems, School of Computing, NUS (Singapore) Professor of Information Systems ESSEC Asia-Pacific 5

An Alliance of excellence ESSEC & CentraleSupélec Savoir-Faire

Expertise in Data Sciences

CentraleSupélec -established in 1829- has developed a data sciences expertise that lies on the intersec- Expertise in Business tion of mathematics and computer science seeking mathematical models and their computational solu- Analytics & Digital tions towards automatic structuring, interpretation and understanding of massive (visual) data with em- Transformation phasis on machine learning, optimization, computer vision and biomedical image analysis. Strategy

For over forty years, ESSEC has been a pioneer in the development of a scientific approach to mana- “The courses taught us state-of-the-art gement. Since its establishment in 1907, ESSEC has techniques to solve complex business trained generations of students, fostered research issues and at the same time we also and helped firms develop and prosper. learned how to communicate the solutions to the stakeholders with ease.” Recently, ESSEC Business School created several Centers of Excellence to further enhance its produc- Niket, current student tion of knowledge and solutions. Students therefore have access to a wide range of conferences and in- teractions with practitioners and researchers from the different sectors. The MSc in Data Sciences & Business Analytics is particularly involved with the three Centers of Excellence: Digital Business; Impact Entrepreneurship and SmartLife & SmartEconomy.

The program is in particular closely involved in ESSEC’s Strategic Business Analytics Chair with Accenture. During their studies, students can apply

Nikos Paragios © solarseven to the Chair and participate in their activities. Academic Co Director, D.Sc. in Electrical and Computer Engineering, UNSA&INRIA (France) A SHORT FLEXIBLE CURRICULUM Professor of Applied Mathematics & Computer Science, • Awarded by 2 prestigious French • Intensive full-time program CentraleSupélec Grandes Ecoles - Academics & International Field Trip (10 months) - 24 elective courses - Internship & Thesis • In France (Paris area) (4 to 6 months) & in Singapore • 3 majors • Taught in English • 90 ECTS credits • Est. 2014 • Intake in September 6

An innovative & complete program

To ensure an intelligent use of data

FOR A GLOBAL UNDERSTANDING OF THE TECHNOLOGICAL AND BUSINESS CHALLENGES UNDERLYING THE DIGITAL EVOLUTION ERA AND TO MASTER THE SCIENCE OF DATA AND THE TECHNIQUES OF BUSINESS ANALYTICS, THE PROGRAM HAS A STRONG ANALYTICAL FOCUS AND AIMS TO PROVIDE STUDENTS WITH A COMPREHENSIVE VIEW OF THESE COMPLIMENTARY AND INTRINSICALLY LINKED FIELDS ENABLING THEM TO DEVELOP AND BECOME FULLY-OPERATIONAL PROFESSIONALS. THE PROGRAM TAKES PLACE ON ESSEC CAMPUSES (PARIS AREA & SINGAPORE), AND ON CENTRALESUPÉLEC CAMPUS (PARIS AREA).

3 majors and 2 minors

To tailor the program to your needs and goals and to ensure scientific expertise and data savviness, the program is hybrid between Data Sciences, Business Analytics & Digital Transformation Strategy. Electives are tailored to each student’s specific career goals; these excellence elective courses are highly specialized in content and address recent trends and challenges.

Majors Minors • Data Sciences • Data Sciences • Business Analytics • Business Analytics • Digital Transformation Strategy © Jean-Michel Sicot 7

Customize your curriculum

1ST PERIOD, FOUNDATIONS

IN FRANCE Foundations At ESSEC Business School & at CentraleSupélec Refresher • Contemporary Economic Challenges Core Courses • Big Data Analytics • Negotiation • Strategic Business Analytics • Financial Accounting • Forecasting & Predictive Analytics • Intercultural Management • Continuous & Discrete Optimization • Statistical Methods • Machine Learning • Mathematics • Big Data Algorithms, Techniques & Platforms • Coding

2ND PERIOD, CHOOSE A MAJOR (at least 4 courses) AND A MINOR (2 courses)

IN FRANCE IN SINGAPORE

Major in Data Sciences Major in Digital Transformation Strategy at CentraleSupélec at ESSEC Asia Pacific • Massive Data Processing • Digital Business Models • Advanced Machine Learning • Digital Marketing Strategy • Natural Language Processing • Managing IT in the Digital Era

10 MONTHS • Sparse Coding & Compressed Sensing • Project Management for Digital Initiatives • Geometric Methods in Data Analytics • Strategic Consulting in Asia: Tools and Issues • Distributed Optimization & Computing • Deep Learning & Convolutional Networks • High Performance and Parallel Computing Minor in Data Sciences • Advanced Machine Learning • Natural Language Processing Major in Business Analytics at ESSEC France • Quantitative Risk Management Minor in Business Analytics • E-Business Strategy & Operations • Operations Management • Supply Chain Analytics & Tools • Financial Risk Management • Business Intelligence • Financial Econometrics • Econometrics • Marketing Analytics • Case Studies in Business Analytics with Accenture • Case Studies in Predictive Analytics with SAS iMagination Week Minor in Data Sciences or Business Analytics or Opt for a Double Major Capstone Industrial Project

International Field Trip

3RD PERIOD, HANDS ON FIELD EXPERIENCE

WORLDWIDE

4 to 6 months Internship

Thesis 8 © iStock © alxpin

Data Sciences & Business Analytics: A novel way to think out of the box © zhudifeng 9 © Denis ALLARD/REA

Foundations Refresher & Core Courses

TRIMESTER 1 IN FRANCE, PARIS AREA As students come from different academic backgrounds, it is important to get everybody up to speed and on the same level. To do so, in September students will take several refresher courses from the following: Contemporary Economic Challenges, Negotiation, Financial Accounting, intercultural Management, Statistical Methods, Mathematics and Coding. From October to December, students must attend six core courses. They will study on both campuses in France: ESSEC and CentraleSupélec.

3 core courses 3 core courses offered by ESSEC Business School offered by CentraleSupélec

Big Data Analytics Continuous & Discrete Optimization Dealing with statistical methods for the analysis of Programming exercises in Python are covered in this multidimensional data, this course aims to develop course as well as the basic theory and methods for analytical problem-solving skills while presenting the solution of optimization problems; iterative tech- quantitative methods apt to support decision-making niques for unconstrained minimization; linear and processes in the face of uncertainty. It also provides nonlinear programming as well as discrete methods actionable tools to analyze and leverage data (PCA, re- for engineering applications. gressions, decision trees, clustering, data and text mining). Machine Learning Strategic Business Analytics An overview of the most important trends in machine This course aims to help students use quantitative learning, with a particular focus on statistical risk and techniques in a strategic consulting approach in order its minimization with respect to a prediction function for them to be able to design, assess and manage bu- is given in this course. A substantial lab section invol- siness strategies. It is based on real life cases and will ves group projects on data science competitions and give students prerequisites on how to build a strategy gives students the ability to apply the course theory and how to present it to different types of audience to real-world problems. and stakeholders. Big Data Algorithms, Techniques & Platforms Forecasting & Predictive Analytics This course teaches about big data management - With a focus on forecasting methods used in business and algorithms, techniques and tools needed to support economics, this course develops students’ judgment and big data processing - as storage, organization, and critical sense in order to be able to produce and evaluate processing of data at a scale and efficiency goes well operational forecasts by understanding how forecasting beyond the capabilities of conventional information is possible, and how it can go wrong. These practical technologies. analytical skills will equip them with a competitive edge. 10

3 majors for a “I learned a great deal about business analysis while following strong expertise courses taught in Business Analytics at ESSEC. Working on this topic in some research projects put my knowledge into business From January to June, students can choose to conti- perspectives. It helped me learn the science of numeric analysis nue their curriculum either in France or in Singapore. and the arts of precise communication associated with it; the latter being so crucial yet often being ignored in business context. I am TRIMESTERS 2 & 3 IN FRANCE, PARIS AREA sure that the acquired knowledge and skills helped me achieve Students must select at least six elective courses, professional success.” with at least two in both Data Sciences and Business Avijit, ESSEC Graduate Analytics. It is possible to decide on a curriculum Strategic Performance Manager at GlaxoSmithKline that is balanced across both fields, or major in Data Sciences or Business Analytics by validating four elective courses in the specific field.

Major in Data Sciences Elective courses offered at CentraleSupélec in France

Massive Data Processing Geometric Methods in Data Analytics This course tackles the analysis of massive data sets The fundamental constructions related to the mani- that are generated in many scientific and business pulation of complex phenomena are reviewed in this intelligence applications. Given the scale and speed course, mixing ideas from computational geometry of data that needs to be processed, Big Data challen- and topology, statistics, and machine learning. Data ges the state of art machine learning algorithms and analysis is the process of cleaning, transforming, for this reason there is on ongoing effort to design modeling or comparing data, in order to infer useful learning algorithms to accommodate a parallel/dis- information and gain insights into such phenomena. tributed or even a streaming evaluation. Distributed Optimization & Computing Advanced Machine Learning The objective of this course is to introduce the theo- The importance of information theory towards un- retical background which makes it possible to deve- derstanding the underlying concepts of machine lop efficient algorithms to successfully address these learning problems is studied in this course. It will also problems by taking advantage of modern multicore investigate the use of modern exploration strategies or distributed computing architectures. This course towards predictive/recommendation systems, gene- will be mainly focused on nonlinear optimization ration and compression. tools for dealing with convex problems.

Natural Language Processing Deep Learning & Convolutional Networks This course aims to present a fairly broad graduate- In this course, we will discuss the motivations and level introduction to computational linguistics, the principles regarding learning algorithms for deep ar- study of computing systems that can process, un- chitectures, starting from the unsupervised learning derstand, or communicate in human language. The of single-layer models such as Restricted Boltzmann primary focus of the course will be on understanding Machines, and moving on to learning deeper models various NLP tasks, algorithms for effectively solving such as Deep Belief Networks. The advent of big data these problems, and methods for evaluating their and powerful computers has made deep learning al- performance. gorithms the current method of choice for a host of machine learning problems. Sparse Coding & Compressed Sensing An introduction to the mathematical concepts and High Performance and Parallel Computing techniques will be covered in order to achieve a solid The most modern and efficient tools in terms of dis- understanding of the fundamental principles of si- tributed and parallel computing will be presented in gnal processing, sparse coding and optimization. We this course. The content refers to both the underlying will focus on providing a short overview of the most theoretical foundations of distributed programming recent methods both in terms of representations as well as the practical use of existing distributed (scarsity/compressed sensing and coding) as well as programming architectures able to accommodate in terms of representations and inference including asynchronous flow of high dimensional/heteroge- continuous and discrete optimization. neous data. © Sergey Nivens © Sergey 11

CentraleSupélec

Major in Business Analytics Elective courses offered at ESSEC Business School in France

Quantitative Risk Management Econometrics So that students acquire the practical tools to solve By introducing the basic concepts of econometrics real problems, this course builds upon the main theo- and modeling approaches, this course will ensure retical concepts and modeling techniques of Quanti- students are able to: implement suitable statistical tative Risk Management. Main concepts include loss methods for the construction of econometric mo- distributions, risk measures, interdependence and dels, assess the validity of econometric models and concentration of (extreme) risks, using techniques use econometric software. The assimilation of the deriving from probabilistic modeling and statistical concepts of the course, learning tools and modeling analysis, etc. approaches will be based on examples in the fields of finance, insurance, marketing, etc. E-Business Strategy & Operations With a managerial rather than a technical approach, Marketing Analytics this course provides participants with the knowledge This course exposes students to the application and needed to participate in and manage the develop- presentation of analytical and statistical methods to ment of e-business websites. It aims to help students solve marketing problems, especially as they relate understand the strategies, tactics and processes to customer description, targeting, lifetime value, involved as well as give them the knowledge and customer relationship management and optimiza- competencies to be able to interact effectively with tion of marketing actions and tactics (targeting and development professionals. campaigns). The students work on data from direct marketing, database marketing and interactive mar- Supply Chain Analytics & Tools keting among others. This course has two main objectives: to familiarize students with the core designing, planning and opti- Case Studies in Business Analytics with Accenture mization tasks of a supply chain manager, and to in- Worldwide experts from Accenture present actual troduce students to the use of supply chain applica- projects and deliverables in their field of specialty, tions to solve the most prominent problems. Course walk the students through their analysis, and present participants study and apply the latest methods that them with interactive case studies. This course the- are used to solve supply-chain related tasks. refore gives students perspective into the different sectors analytics is used in. Business Intelligence In order to gain insight and make better decisions, SAS Tools for Predictive Analytics this course refers to the technologies and processes The skills required for analyzing data and assembling for collecting, blending, modeling, analyzing and vi- analysis flow diagrams using the tool set of SAS En- sualizing data. It presents information systems and terprise Miner for both predictive modeling (decision technologies used in decision making, as well as tree, regression and neural network models) and BI-specific modeling techniques. The ultimate aim of pattern discovery (segmentation and sequence ana- the course is to arm students with the knowledge and lysis) will be discovered during this course. skills pertaining to the use of IT for decision making. © jannoon028 12 © Denis ALLARD/REA © Franziska Richter © Franziska

Data Sciences, Business Analytics & Digital Transformation Strategy: The driving force of the evolution of society and the economy 13

TRIMESTERS 2 & 3 IN SINGAPORE Students must select six elective courses, with at least four in Digital Transformation Strategy and two from the minor of their choice.

Major in Digital Transformation Strategy Elective courses offered at ESSEC Asia-Pacific in Singapore

Digital Business Models Minor in Data Sciences The continued growth of the Internet in parallel Advanced Machine Learning with the development of commodity technology The importance of information theory towards un- resources and tools has fundamentally lowered the derstanding the underlying concepts of machine barriers to the creation and development of new learning problems is studied in this course. It will also businesses. The purpose of this course will be to ex- investigate the use of modern exploration strategies plore, in partnership with the students, the breadth of towards predictive/recommendation systems, gene- digital business models with a focus on entrepreneu- ration and compression. rial ventures, and identify how they might create or transform businesses. Natural Language Processing This course aims to present a fairly broad graduate-le- Digital Marketing Strategy vel introduction to computational linguistics, the study As digital is becoming the 1st advertising media glo- of computing systems that can process, understand, bally, this course aims to provide both a deep pers- or communicate in human language. The primary fo- pective into digital marketing, channel by channel, cus of the course will be on understanding various as well as the integration of digital within a mar- NLP tasks, algorithms for effectively solving these pro- keting plan. Moreover, students will be introduced blems, and methods for evaluating their performance. to knowledge, tools and reflexes to build a marketing plan focused on digital, with cost efficiency constraints, based on a real startup case. Minor in Business Analytics Operations Management Managing IT in the Digital Era This course focuses on the systematic direction and Conducting business in a networked economy inva- control of the processes that transform inputs into riably involves interplay with technology and data. finished goods or services; it applies rigorous mathe- The purpose of this course is to improve student’s matical techniques and highlights the practical ma- understanding of roles played by IT in modern orga- nagerial insights. Moreover, it will provide insights on nizations: business enabler, business supporter, or as the field of production and operations management key products or services. in international contexts.

Project Management for Digital Initiatives Financial Risk Management In this course, the objective is to provide structured This course deals with the ways in which financial ins- and systematic methods for managing complex digi- titutions and corporations can quantify and manage tal projects. In the past, a vast number of IT projects risks. The topics covered will include Risk Hedging have failed. With the digital transformation impera- Strategies, Correlation and Copulas, Bank Regulation tives, many companies will have to face challenges and Basel Accords, Value at Risk, Market Risk, Credit that are not necessarily easy to tackle with their core Risk, Operational Risk, Model Risk and Liquidity Risk. competencies. Financial Econometrics Strategic Consulting in Asia: Tools and Issues Financial Econometrics is the intersection of statis- This course is designed for students interested in tical/econometric techniques and finance. Students understanding consulting as a profession in Asia. should be familiar with OLS and MLE from the in- Through both group and individual activities and troductory econometrics course. Based on these different types of case-based assignments, students techniques, this course introduces the time-series will become familiar with the tools and techniques econometric tools, which are particularly suitable to that consultants use to help their clients. This course analyzing the financial data. We start with the basic is also intended to support students in their interview stylized facts observed in markets and then intro- process with consulting firms. duce models, which can explain these facts. 14

Pedagogical approach focused on learning by doing

The program relies on a wide range of teaching methods including lectures, current events, case study analysis, in-class exercises as well as extras throughout the year.

Masterclasses Students will attend a series of masterclasses on trending, varied and useful topics such as Artificial Intelligence, Data Visualization, Data Ethics & Regulation, Management Consulting, Health & Biosciences, e-Entrepreneurship and Informa- tion Governance.

iMagination Week Offered to students majoring at ESSEC Asia Pacific campus, this seminar is dedicated to imagination, innovation and transdisciplinarity, with the objective to train future managers, helping them understand today’s changing world and enabling them as actors of a world to imagine.

International Field Trip The one-week international field trip provides opportunities to meet local professionals and business leaders. Students may travel to Dublin, Hong Kong, Silicon

Offered to the class majoring at ESSEC Asia Pacific campus, students will apply the skills and knowledge learned during the program by conducting a real industrial project with access to big data, and under the supervision of ESSEC professors.

The internship

The internship, with duration of 4 to 6 months, can take place anywhere in the world and is designed to facili- tate students’ professional integration. It enables them to apply their newly acquired skills and knowledge to hands-on-experience as interns within an organization. Students find them easily via the extensive ESSEC Business School and CentraleSupélec networks.

The thesis

The MSc thesis represents an independent and individual research on a cutting-edge topic related to data sciences and business analytics. Its objective it to provide students with a first complete and original applied or theoretical research experience in relation to their internship. © Les Chics Types © Les 15

The faculty Blending academic and professional excellence, expertise and experience

IN ADDITION TO THE FACULTY OF ESSEC BUSINESS SCHOOL AND CENTRALESUPÉLEC CHARACTERIZED BY ACADEMIC EXCELLENCE, A GLOBAL FRAME OF MIND AND INSTRUCTIONAL CREATIVITY, THE PROGRAM ALSO RELIES ON HIGH PROFESSIONAL PROFILES THAT BRING THEIR EXPERTISE TO THE CLASS.

Some of the program’s permanent professors

Ph.D. in Theoretical Computer Science, Professor, Applied Mathematics Department, French Frédéric Cazals Université Paris Diderot – Paris 7 (France) CentraleSupélec

Professor, Information Systems, Decision Guillaume Chevillon French D.Phil. in Economics, University of Oxford (UK) Sciences and Statistics Department, ESSEC Business School

Professor, Information Systems, Decision Ph.D. in Information Systems, School of Chinese Sciences and Statistics Department, ESSEC Yan Li Computing, NUS (Singapore) Business School

Ph.D. in Business Administration, Pennsylvania Professor, Marketing Department, ESSEC Belgian Arnaud De Bruyn State University (USA) Business School

Doctorate in Adaptive Methods in Predictive Coding Professor, Applied Mathematics Department, Jean-Christophe French Pesquet of Digital Images, Université Paris-Sud (France) CentraleSupélec

Ph.D. in Applied Economics, KU Leuven Professor, Marketing Department, ESSEC Belgian Nicolas Glady (Belgium) Business School

Professor, Information Systems, Decision Doctorate in Applied Mathematics, UPMC French Sciences and Statistics Department, ESSEC Marie Kratz Paris VI (France) Business School

Professor , Information Systems, Decision Ph.D. in Tourism, Queen Margaret University, Irish Sciences and Statistics Department, ESSEC Peter O’Connor Scotland (UK) Business School

Ph.D. in Operations Research, University of Associate Professor, Operation Management German Felix Papier Cologne (Germany) Department, ESSEC Business School

Ph.D. in Electrical & Computer Engineering, Professor, Applied Mathematics Department, Greek Nikos Paragios Inria Sophia Antipolis (France) CentraleSupélec

Ph.D. in Signal Processing, Université Paris- Professor, Applied Mathematics Department, French Frédéric Pascal Ouest Nanterre-La-Défense (France) CentraleSupélec

Associate Professor, Information Systems, Doctorate in Information Systems, Université French Decision Sciences and Statistics Department, Nicolas Prat Paris-Dauphine (France) ESSEC Business School

Professor, Information Systems, Decision Jeroen Rombouts Belgian Ph.D. in Econometrics, UCL (Belgium) Sciences and Statistics Department, ESSEC Business School 16

Helping you get started

Career services support

ESSEC Business School and CentraleSupélec provides ongoing career guidance and support to students and graduates in order to help them find and pursue their chosen dream career:

Interview and CV workshops as well as individual career orientation and guidance.

Recruitment fairs in Paris, Singapore, London and Shanghai with around 200 corporate partners from the business world, focused on a certain sector or career aspiration i.e. working in consulting or working for an international company.

Regular meet-and-greets with businesses (CEOs / HR managers, founding partners, etc.).

Career Portal: 6,000 job offers posted online each year and 21,000 internship offers the world over as well as international volunteer posts “VIE” (available to EU citizens under 28 years old).

Online student CVs made readily accessible to hiring companies (some 2,500 per year).

“Alumni network is very active. It is a great advantage to be able to contact the right people in a company.” 50,000 Regis, ESSEC Graduate ESSEC Business School alumni Software Engineer at Vision Objects 32,000 CentraleSupélec alumni

2 Powerful worldwide networks

Enrolling in the MSc in Data Sciences & Business Analytics makes you a member of both the ESSEC Business School and the CentraleSupélec global alumni communities. As a student and graduate you are able to leverage this significant network as alumni stay involved and in touch with each other and the schools. As well as sharing their experience with students, they also organize all over the world via the various local chapters, conferences, round tables, brainstorming sessions, get- togethers, etc. © Sergey Nivens © Sergey 17

Find the right career

Where the degree can take you

These fields of expertise are complimentary, intrinsically linked and key to understanding the opportunities that come with this surge of big data.

Business Analysts focus on business applications and are called upon by companies to identify challenges and evaluate risk.

Data Scientists on the other hand focus more on computer science and are involved therefore in creating solutions to the problems at hand. HBR moreover The growth in job crowned data scientist as the sexiest job of the 21st century.

opportunities is Digital Transformation Strategists focus on leading the transformation of bu- tremendous sinesses in order to ride on the digital wave. As business analytics, data sciences and digital transformation strategy are wi- dely applied across the business world, there is a growing demand for data-driven leadership in every industry and from start-ups to huge multinationals.

With the digital age, it is no longer only internet pure players who are faced with a growing amount of data produced by daily operations. Indeed, all companies have understood that they need to act so as not to lose their competitive edge and are therefore contending to hire these profiles.

HIGH LEVEL POSITIONS IN A WIDE RANGE OF SPHERES ANYWHERE IN THE WORLD

• Management Consulting • Internet pure-players • Insurance • Media & IT • Finance • Automotive industries • Audit • Electronics • Healthcare & Biotech • Public Sector • Consumer Goods • Retail • e-Commerce • Manufacturing • e-Business

RECRUTING COMPANIES • Accenture • Pierre Fabre • AXA • Mars Incorporated • Bain & Company • Mazars • BNP Paribas • Orange • Crédit Agricole • PwC • Criteo • Renault • Deloitte • Sagemcom • Ekimetrics • Société Générale • EY • Thales • Google • And many more… 18

Who Can Apply?

THE MSc IN DATA SCIENCES & BUSINESS ANALYTICS IS A HIGHLY SELECTIVE PROGRAM DESIGNED FOR HIGH-POTENTIAL CANDIDATES HOLDING (OR TYPICAL CURRENTLY PURSUING) A STRONG BACHELOR OR A MASTER’S DEGREE IN ENGINEERING, SCIENCES, BUSINESS OR ECONOMICS. CLASS PROFILE

Applicants should be academically excellent, open minded, internationally 30-40 students oriented, sensitive to the world around them and have leadership potential. Average age: 24 years old The selection process

Selection is based on an exceptional academic record as well as strong motivation 60% French students to pursue the program.

• Online application file 40% international students • Management aptitude test is required: GMAT or GRE or TAGE MAGE • English test is required: TOEFL, TOEIC or IELTS

hold degrees in The English test is not required if the applicant is an English native speaker, has 60% spent at least 3 years in an English-medium program or has lived or worked for engineering or science at least 3 years in an English speaking country.

hold degrees in economics There are 5 rounds of admissions per year, 40% or management in October, January, February, April and June

More about the MSc in Data Sciences & Business Analytics Discuss… With an enrolled student on ESSEC Talk. Refer to… News, testimonies, financing your studies, admission process and schedule. Apply online…

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Welcome to ESSEC Business School’s original campus located At the heart of Europe’s leading business district, this ESSEC only 35 minutes away from Paris. campus is adapted to the time constraints and targeted needs of working managers.

ESSEC established its original campus in this student haven in This campus, housed in the well-known CNIT building, is 1973. Set in a vast green space covering 2,000 hectares, the specifically dedicated to our executive education programs. campus features the very best teaching tools: auditoriums Thanks to its strategic location, spaces for group work, equipped with facilities, libraries rooted in the digital era, connectivity, areas for relaxing, reading and getting together, language labs, etc. It is also a convivial site with places to it offers the perfect conditions for educating managers and eat, student residences, sports facilities, practical services, executives. and more.

Midway between India and China, Singapore boasts the ideal Baptised ESSEC Africa-Atlantic and launched in 2016, this location to get a global vision of Asia. new campus is located in the municipality of Sidi Bouknadel in the heart of the Rabat-Salé urban area. It hosts ESSEC’s Singapore has always been in the vanguard of Asian academic activities, notably a track from the Global BBA development and continues to attract multinationals from program, and those directed in partnership with the Ecole all over the world. Since 2005, ESSEC’s third campus Centrale based in Casablanca and high-level Moroccan has been ushering its students into the heart of a major academic institutions such as the International University economic, commercial and financial crossroads, offering of Rabat. an ideal platform for understanding the forces, complexity, diversity and challenges of a key region in the 21st century. In January 2015, ESSEC welcomed students to its new 6500 m2 campus. PARIS RABAT SINGAPORE

ESSEC Business School ESSEC Asia-Pacific 3 avenue Bernard-Hirsch 5 Nepal Park CS 50105 Cergy Singapore 139408 95021 Cergy-Pontoise Cedex Tel. +65 6884 9780 France www.essec.edu/asia Tel. +33 (0)1 34 43 30 00 ESSEC | CPE Registration number 200511927D www.essec.edu Period of registration: 30 June 2017 - 29 June 2023 Committee of Private Education (CPE) is part of SkillsFuture Singapore (SSG)

ESSEC Executive Education ESSEC Africa-Atlantic CNIT BP 230 Plage des Nations - Golf City 92053 Paris-La Défense Route de Kénitra - Sidi Bouknadel (Rabat-Salé) France Morocco Tel. +33 (0)1 46 92 49 00 Tél. +212 (0)5 37 82 40 00 www.executive-education.essec.edu www.essec.edu

The content of this brochure is intended for informational purpose only, is subject to modification and is not legally binding. 842821117 - November, 2017 - Cover p hotos: © iStock Not printable file . 2017 - November, 842821117 © ESSEC Business School -