INTERNATIONAL RELATIONS

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1 INTERNATIONAL RELATIONS ENSAI develops its own international policy around three main axes: maintaining and expanding a network of professional contacts abroad, encouraging study and academic exchanges abroad, and promoting the international mobility of its research professors. ENSAI has 15 academic partners in 7 European countries and 2 partnerships with universities in the U.S.A. Further double degree cooperation is currently under development in North America and Asia. All students are required to complete a minimum 4-week period abroad during their studies (either through studying or internships). Fort Collins Cedar Falls Aarhus Glasgow Sheffield Coventry London Louvain-la-Neuve Dortmund Berlin Mannheim Munich Barcelona Barcelona Seville Bologna Bucharest

2 PERSONAL ACCOUNTS FOREIGN STUDENTS The opportunity of an ERASMUS year studying at ENSAI seemed the perfect way for me to achieve my aim of speaking French. ENSAI is a close-knit community and the immediate support offered by fellow students and staff enabled me to quickly adapt to the French way of life and language. The whole experience was amazing; the style of a grande école was something very new to me, but the environment brought out the best in me and helped me to develop. The experience gave me so much more than the ability to speak French; lifelong friendships and a love of France! Elizabeth Boggis from The University of Sheffield, ENSAI student I came to ENSAI as a foreign student to study abroad. Up until then, I had only come to France for visiting and tourism. So when I received my acceptance to study as an ERASMUS student at ENSAI, I was curious about how the experience would turn out. When I arrived at ENSAI, I discovered a very good school, with a team of highly-qualified teachers ready and willing to help us at any time. Also, ENSAI meant interactive activities and friends. ENSAI was a fantastic stage in my life, and I recommend it for whoever wants an international experience. Mihai Chirca from The Bucharest Academy of Economic Studies, ENSAI student My Erasmus experience changed my life! It was a big challenge for me to move so far from home, and I could say I succeeded with the help of all my new friends and the ENSAI International Office. ENSAI is a really nice environment where I had the chance to get to know French people, giving me a better glimpse of French culture and its lifestyle. I appreciated ENSAI s approach to teaching, typical of every French école, and I made the most of all extra-curricular activities that the school and the Students Office organized. Ultimately, Brittany is so lovely! With my friends, we drove all around the region to discover the most amazing areas and vistas. Erika Scaltriti from the University of Bologna, ENSAI student FRENCH STUDENTS I wanted to complete a portion of my studies outside ENSAI, and if possible abroad, to have another perspective on Statistics and Economic Sciences. Knowing various approaches and applications seemed essential to me. During the year I spent at Humboldt through the double degree program, I was able to stand back and gain perspective on methods also taught at ENSAI and to discover new topics and tools with curiosity. But above all, I enjoyed this year abroad for the immersion in another culture, language, etc. I came back from Berlin more well-rounded than when I left, and I can only recommend such an experience. Noémie Bailly Humboldt-Universität zu Berlin, Class of 2010 Erasmus is typically the moment when you acquire the most unlikely group of friends composed of completely different people. Since my exchange program, I ve traveled to 6 different countries in Europe to see my friends and their cities. In addition to this, living 6 months in a country gives you a real view of a different way of living. I d tell you, choose the furthest and most different destination you can, and what you ll take away from it will only be better. Charles De Oteyza Aarhus University, Spring 2010 Class of 2012 My gap year abroad at the University of Northern Iowa was successful and gave me many new skills. I discovered a new way of learning and a high level of education. The International department was really helpful and gave me the chance to meet other exchange students from all over the world. Moreover, it opened my mind to a broader way of thinking. Thanks to my experience at UNI, I am fluent in English and it will be easier for me to get a job abroad or even to apply for a job in France. I think that my year abroad was the best choice I made during my education. Maxime Levy-Chapira University of Northern Iowa (UNI), Class of 2011

3 ADMISSION PROFILES AND APPLICATION PROCEDURES Foreign students coming to ENSAI must have a high level in Applied Mathematics, with some knowledge in Economics and Computer Science being helpful. Ideally, they should also possess at least intermediate French skills (level B1, CEFR). In addition to the traditional, competitive exam method of admission, most foreign students applying to ENSAI fall into several categories: Erasmus Programme Students from partnered institutions may come to ENSAI for either a semester or a full academic year and take courses at the first, second, or third-year level of studies. > Application available for download at: International, Foreign Students, Erasmus Students > Deadline: Nominations from home institution and applications by 31 May for first semester/academic year applicants, and by 31 October for second semester applicants n+i Network Students from this worldwide network may come to study for 2 years at ENSAI to complete a Master "n+" (ENSAI s diplôme d ingénieur) and/or a Master "i" (entry into ENSAI s 2nd year/equivalent to 1 st year of a Master s). > Application: Students must apply through the "n+i" Network s specific procedures by creating a profile and then choosing ENSAI as one of their preferred institutions. ENSAI considers candidates from all three selection rounds (Winter and two in Spring). Double Degrees Full-time students enrolled in an institution with whom ENSAI has a double degree agreement (such as that through the Franco-German University program) may complete a portion of their studies at ENSAI, thus obtaining both ENSAI s degree and a Master s from their home institution. > Admission: Students must apply through and be nominated by their home institution by April for the following academic year. Transfer Students Transfer students or qualified degree holders residing and having been educated outside of France may apply for admission into ENSAI s first or second year depending on their qualifications. Applicants must have successfully completed 3 or 4 years of post-baccalauréat (undergraduate) education, holding the equivalent of an honours degree/bsc or have successfully completed the first year of a MSc in the fields of Mathematics, Applied Mathematics and Social Sciences, or Applied Computer Science. > Procedure and deadline: Application available for download at to be returned by mail to: ENSAI Admission sur titres Direction des etudes Campus de Ker Lann Rue Blaise Pascal BP Bruz Cedex France, no later than the 1 st of March. Candidates will be considered during a subsequent jury and may be asked to take part in an interview in late March/early April. > French-speaking contact: Visas Foreign students coming to France for the first time with non-european nationality and not in possession of a French permanent resident card (mostly Transfer Students) need to obtain a student visa at the French consulate of their home country. All nationals of the 31 countries using the CEF procedure for visas need to register online at CampusFrance; this organization centralizes all first student visa requests in the concerned countries (if another country, follow necessary guidelines). In order to obtain a visa in a timely manner, students must choose ENSAI as a desired program and submit their completed online application mid-march at the latest, prior to a definitive admission decision from ENSAI. Website: Formation : Diplôme d ingénieur de l Ecole nationale de la statistique et de l analyse de l information (ID: 2680)

4 KEY EMPLOYMENT FIGURES ACCORDING TO RESULTS FROM THE GRANDES ECOLES CONFEDERATION Annual Survey 2010 graduates Enquête CGE sur l'insertion 2011 Post-graduation employment rate Average gross annual salary (including bonuses) for new graduates Increase in average gross annual salary for graduates working abroad Consulting (33%) Higher education and research (7%) Pharmaceutical, chemical and cosmetics industries (5%) Leading Professional Employment Sectors Finance, Banking, Insurance and Investments (30%) Other (25%) Percentages correspond to 3-year average from 2008 to 2010 Average Gross Annual Salaries (excluding bonuses) for Employment in France Graduating Classes of polled 3-6 months after leaving school - Enquête CGE sur l'insertion ,000 35,000 34,000 33,000 32,000 31,000 30,000 29,000 All Grande Ecole d ingénieur graduates ENSAI graduates 2010 PERSONAL ACCOUNTS After my End-of-Studies Internship, I was given a fantastic opportunity by Business Researchers, Inc., a small consulting firm, to stay on with them in San Francisco. The different classes I took and internships I carried out during my education at ENSAI really helped me understand the importance of Statistics in our current economy and prepared me well to face the different challenges real-life data can bring. The international opportunities of the program were always a plus for me, and here I am, living the American dream! Tiffany Geslain Class of 2010 For my 6-month internship, specializing in Health Economics, I joined a consultancy in London, where I stayed 3 and a half years. There I had the opportunity to explore various statistical techniques and to apply them in many disease areas. I recently joined GSK Biologicals at their headquarters in Belgium, where I lead HE activities for their pertussis vaccine. ENSAI gave me the keys to a successful career, not only because they taught me the fundamental theories in Statistics and Econometrics, but above all because I learned how to apply these. In the workplace, ENSAI students are ready to hit the ground and run. Julie Roïz Class of 2007

5 PRATICAL LIFE CALENDAR For reference only, the provisional Academic Calendar 2011/2012, including resit exams (exact dates to be published at every Spring for following year): FIRST YEAR First semester: first week of September 2011 third week of January 2012 Second semester: fourth week of January end of June 2012 SECOND YEAR First semester: second week of September 2011 mid-january 2012 Second semester: mid-january third week of June 2012 THIRD YEAR First semester: third week of September 2011 end of March 2012 Second semester (5-6 month internship): April through August/September 2012 FOR ALL STUDENTS > Toussaint break: last week of October/ beginning of November > Christmas break: 2 weeks > Winter break: one week in February or March > Easter break: one week in March/April Foreign transfer or exchange program students must arrive by the end of August/beginning of September for orientation week, including refresher courses in Mathematics and Computer Science, as well as French courses. Exact dates will become available once admission is granted. Two additional options are available for foreigners for intensive French courses: either one month of classes in August at a partner institution (20h/week) and/or evening courses twice a week throughout the year (4h/week). COST OF STUDIES Scholarships International students are eligible to apply for ENSAI's grant based on financial need. There are 6 levels of eligibility for the grant, varying from simple exemption from annual registration/tuition fees and student health insurance coverage to receiving around 4,000 annually at the highest level. Annual Registration/Tuition Fees* (inscription/frais de scolarité) 550 tuition student health insurance coverage (mandatory) *Foreign students on exchange programs are exempt from these fees COST OF LIVING Estimated monthly expenses: Cell phone plans Rent (private studio on campus generally higher than sharing an apartment in Rennes) 30 Electricity Food 30 Public transportation Other expenses (+ security deposit equal to one month s rent), minus roughly 180 (French rent subsidies) (full on-campus student lunch meals: 3) (laundry, clothing, entertainment, etc)

6 SOCIAL LIFE Associations play an important role in life at ENSAI. Student Union The Student Union (bureau des élèves) co-ordinates all the student associations. It oversees the running of a number of clubs: bridge, cinema, chess, music, photo, skiing, theatre, rock, humanitarian, lectures, debates, and games. It manages the school cafeteria and organizes Freshers Weekend, the annual ski trip, and cultural and entertainment evenings, as well as publishing its own newspaper (Ecart-Type). Website: ENSAI Gala Association This organization plans the annual ENSAI Gala. The gala, more than just an event, is organized by the students themselves. This annual tradition allows for students of all generations and graduating classes to come together in a festive atmosphere. Very often, the evening has a theme, accompanied by various eclectic activities. Website: ENSAI Junior Consultant (Junior-Entreprise) ENSAI Junior Consultant functions as an actual consulting firm and allows students to employ their skills in statistics, information processing or economics to help businesses and local authorities. Website: Business Networking Forum Association This association is responsible for fostering and maintaining contact between students and the business world. It organizes forums and theme days for networking between students and professionals, as well as lectures and debates. Website: Alumni Association The ENSAI Alumni association encourages contact between the school, current students, +4,000 alumni, and companies. It organizes networking events and activities, publishes a magazine and alumni directory, helps welcome new students and sits on the various school boards (Improvement Council, Teaching Committee, etc). Website: Inter-School Cultural and Sporting Association This association brings together the three Grandes Ecoles on the Ker-Lann campus: the School of Environmental Engineering (EME, Ecole des Métiers de l Environnement), ENS Cachan (Ecole Normale Supérieure) and ENSAI. The association is a member of the French University Sports Federation, and it allows students to play sports competitively or for recreation, and to participate in cultural activities.

7 Quantitative Marketing and Customer-Relationship Management (CRM) An increasing importance is given today to studying consumer behavior in marketing decisions: market segmentation, development of new products and services, advertising strategies, choice of distribution channels, etc. This study is multidisciplinary in nature, blending mainly Economics and Statistics, but also Psychology and Sociology. The Quantitative Marketing and Customer Relationship Management (CRM) specialization educates statistical engineers to be able to conduct such an analysis from pertinent models, allowing them to extract consumer tendencies and current or future market trends, and to make optimal decisions. Advanced Microeconometrics, Econometric Analysis of Panel Data, Market Models, Geomarketing, Survey Methodology, Experimental Marketing, Consumer Behavior Models, Discrete Choice Models, Social Psychology of Consumer Behavior, Psychometrics, Customer Relationship Management, Scoring Techniques and Methods, Data Mining, Modern Statistical Learning Methods and Models 1 & 2, Time Series Forecasting, Duration Models, Geomarketing Project*, Methodological Research Project Risk Management and Financial Engineering This specialization meets the needs arising from rapid developments in financial markets and risk management practice as used by financial organizations. The multidisciplinary approach combines intensive use of statistics with stochastic modeling, numerical methods, and designing and improving C++ applications, thereby training engineers to be at the cutting edge of financial and technological innovation. The three broad areas of competence to which this specialization leads are: managing and regulating banking risk, investment allocation and strategies, and innovation in financial engineering. Advanced Microeconometrics, Advanced Time Series, Banking Risk Management, Scoring Techniques and Methods, Extreme Value Theory, Statistics of Extreme Risks, Copulas Theory, Statistics of Multiple Risks, Asset Allocation, Quantitative Strategies, Statistics of Hedge Funds, Socially Responsible Investment, Stochastic Calculus, Calibration of Stochastic Processes, Yield Curves Models, Numerical Methods, Advanced Statistical Models for Financial Engineering, Advanced Scoring Methods* Statistical and Decision-Making Systems This specialization allows students to refine and strengthen their knowledge of and skills in Computer Science and Information Processing tools so as to be on the same level as their statistical abilities. The training focuses on the culture surrounding computer science as well as in-depth presentations of the most recent technologies. In this way, the architecture, networks, project management, and the administration and management of database systems are covered along with Data Mining and warehousing learning techniques, object-oriented programming, web programming, and data security. Data Mining, Data Mining Project, Data Mining Software, Data Mining Methods, Neural Networks, Modern Statistical Learning Methods and Models 1, Relational and Object-Oriented Databases, Security and Administration of Database Systems, Database Tuning and Tagging, Additional Object Design Models, Software Engineering, Networks and Systems, Data Security, XML, Web Semantics, Human-Computer Interaction (HCI), J2EE Project, Web Applications (J2EE), Final Year Project, Bibliographic Study*, Following the Evolution of Technology through the Media, Professional Career Preparation CURRICULUM ENSAI s intense curriculum is designed to meet the growing corporate demands in terms of statistical expertise. Note: All courses taught in French unless followed by an (*), indicating that they are always or sometimes taught in English or another foreign language. FIRST YEAR (equivalent to last year of undergraduate studies) 700h in-class + minimum 4-week First Year Internship In the first year of study, the core syllabus is composed of courses in Statistics, Mathematics, Computer Science, Economics, Social Sciences, Languages and Management. These courses provide an introduction to the basic knowledge and working methods required to obtain a solid general culture in the respective areas. Teaching in the second and third years builds on this knowledge and these methods, exploring them in greater depth. For this reason, and given that a fair portion of these subjects are new to most students, nearly all of the first year is devoted to the core syllabus. Moreover, in order to ensure that all students have the same level by the end of the first year, it is necessary to differentiate between the students arriving from different selection routes. For this reason, depending on their backgrounds, some students have more classes in Mathematics, Probability and Statistics while others have more classes in Economics and Data Processing. Students learn to apply their knowledge acquired during this first, crucial year of study through a group project in Statistics as well as a Personal Project in Economic Theory. Professionals as well as permanent ENSAI teachers supervise these projects. > First semester: Algebra, Algorithms Design Python Programming, Analysis, English*, Integral Calculus, Optimization and Numerical Methods, Probability Theory, Relational Databases, SAS Language, SAS Macro Language, Uni and Bivariate Data Analysis > Second semester: Corporate Finance, Cover Letter and CV, English*, Fundamentals of Management, Humanities courses*, Interpersonal Communication, Introduction to Sociology, Macroeconomic Theory 2, Microeconomic Theory, Personal Project in Economic Theory, Project in Statistics, Software Engineering Object-Oriented Programming, Statistical Hypotheses Testing, Statistical Modeling and Estimation, Written and Oral Communication

8 SECOND YEAR (equivalent to first year of graduate studies) 580h in-class + 8-week Applied Statistical Internship The second year of study is composed of fundamental and elective courses including advanced topics in Statistics. Secondyear courses carry on from the first-year studies with a combination of introductory and in-depth classes. While some courses are compulsory and form the core syllabus, others are chosen as options to enable students to begin specializing in one of the principal domains in which Statistics is used. Students make their choices on the basis of their intended third-year specialization. They learn the techniques essential for their future professions as statisticians, including classes in high-level computer language. Students learn to apply their wide range of knowledge acquired during their first two years of study through group projects (Project in Statistics, Computer Science Project), using real-life data. These projects are monitored by professionals as well as academics. THIRD YEAR (equivalent to second and last year of graduate studies) 420h in-class + 5 to 6-month End-of-Studies Internship The third year of study seeks to provide students with a genuine specialization while at the same time introducing them to the professional world. Most of the teachers are from the professional sector, giving students an introduction to the sort of problems they will handle after graduation. In addition, professional seminars are held throughout the year to complement theoretical classes. The six possible specializations offered allow students to focus on one area of advanced statistical applications. COMMON Communication, Corporate Law, English*, Humanities courses*, Project Management Students study a combination of the topics listed below in the form of compulsory and elective courses, with regard to their intended third-year specialization. > STATISTICS: Advanced Regression Models, Anova, Bayesian Statistics, Bootstrapping, Linear and Generalized Linear Models, Logistic Regression, Markov Chains, Martingales and Levy Processes, Missing Data, Monte-Carlo Methods, Multivariate Data Analysis, Nonparametric Statistics, Project in Statistics, Sampling Theory, Statistical Learning, Survival Analysis, Time Series* > COMPUTER SCIENCE: Advanced Object-Oriented Programming using Java, Computer Science Project, Introduction to Operating Systems: GNU Linux, Methods for Evaluating Statistical Software, Multidimensional Databases, Programming in C++, Visual Basic Programming using Excel, Web Development and Networks > ECONOMICS: Econometrics, Economic Information and Decisions, Finance, Financial Theory, Healthcare Systems, Individual Behavior Modeling, Macroeconometrics, Marketing, Microeconometrics, Strategies and Markets > HUMANITIES: English*, Humanities courses* (optional languages, general culture), Interpersonal Communication, Professional Preparation Note: This list of second-year course offerings is provisionary and subject to slight modifications for the Academic Year Specializations Advanced Statistical Engineering This specialization provides students with advanced skills in a range of applied statistics for industry, services, and the environment. Courses cover quality and reliability, image and signal processing, as well as forecasting and its applications, especially for the environmental sector. Nonlinear Modeling, Extreme Value Theory, Advanced Statistical Models for Financial Engineering, Local Parametric Modeling*, Markovian Models for Image Analysis, Image Analysis Project, Statistics of Stochastic Processes, Linear and Nonlinear Filtering, Semiparametric Forecasting, Statistical Quality Control*, Design of Experiments, Risk Management and Operation Safety, Reliability, Modern Statistical Learning, Neural Networks, Graphical Modeling under the Bayesian Paradigm, Geostatistics, Final Year Project, Methodological Research Project Biostatistics After complementary statistical training, especially in survival data, mixed models and sequential analysis, the courses provide students with the requisite tools for specializing in the experimental field. Courses in epidemiology, clinical trials, and experiment planning enable students to acquire a solid basis for health sector applications. Nonlinear Modeling, Advanced Bayesian Statistics, Statistics of Stochastic Processes, Compartmental Modeling, Design of Experiments, Mixed Models, Survival Analysis Applied to Biostatistics, Measuring Quality of Life, Sequential Methods in Clinical Trials, Missing Data, Meta Analysis, Clinical Trials, Pharmacometrics, Project in Clinical Trials, Economic Evaluation in Health Care, Quantitative Epidemiology, Epidemiology Workshop, Health and Environmental Topics Project, Statistical Genetics*, Genetics Project, Sensory Studies Health Econometrics This specialization seeks to train students in the various techniques used to apply economic reasoning to the specifics of the health sector. That is why, in addition to teaching economic concepts and methods that are specific to Health Economics, the program provides students with practical training in the statistical methods specific to the social and economic sciences and in the methods used in the biomedical environment in which they will go on to work. Econometric Analysis of Panel Data, Advanced Microeconometrics, Time Series Forecasting, Survey Methodology, Discrete Choice Models, Hierarchical Linear Models, Valuing Health*, Health Economics, Health Insurance, Clinical Trials, Quantitative Epidemiology, Epidemiology Workshop, Measuring Quality of Life, Meta Analysis*, Health Econometrics Project, Economic Evaluation Project, Health Economics Workshop*

9 PERSONAL ACCOUNTS After my second year, I wanted to focus on statistical research. After specializing in Advanced Statistical Engineering, I chose an internship in a research team at Technicolor in Rennes. I worked on movie ratings data given by users, and I had to find out how it could be used to create recommendations for new movies. The topic allowed me to use a combination of the various methods I had learned during my three years at ENSAI, and the strong theoretical background and the experience that I acquired in completing projects also helped me immensely. I'm now a PhD student in CREST s Statistical Modeling Research Team housed within ENSAI. Samuel Maistre Class of 2010 Having specialized in Risk Management and Financial Engineering, I carried out my End-of-Studies Internship within the Financial Statistics Section of the European Central Bank in Frankfurt. I was able to put into practice many modeling methodologies and specialized vocabulary learnt during my studies as well as during my previous internship in Luxembourg.Using English as the working language, I discovered how interesting and motivating it is to work in a multicultural environment with people who have different backgrounds and working techniques. Now as a consultant in Paris, I still work in a multinational environment because I develop credit risk models for banks in Norway, Italy and Czech Republic. Yannick Normand Class of 2009 I did my End-of-Studies Internship applied to Biostatistics in an Inserm research team (French National Institute of Health and Medical Research). My work focused on HIV, modeling its interaction with the immune system using the Bayesian approach in ordinary differential equations. ENSAI's well-rounded program helped me to understand quickly both practical and theoretical issues. The computer programming techniques I learned have proved to be an asset, especially in public research. The double degree program between ENSAI and the University of Rennes 1 prepared me especially well for a professional environment during my internship. Now, I'm working in the same place as a PhD student. Mélanie Prague Class of 2010 INTERNSHIPS In order to be as thoroughly prepared as possible for the workplace, ENSAI students all complete three compulsory internships, one of which must be abroad. These are integral parts of their curriculum. When done abroad, these internships allow students to broaden their awareness of other social and professional cultures as well as to improve their language skills. FIRST YEAR INTERNSHIP LENGTH: At least 4 weeks from June through August following the first year of study OBJECTIVE: To discover the professional world and how a company functions, regardless of its area of specialization DESCRIPTION: Students are given non-executive/non-management positions. Interns discover or enrich their knowledge of the business world as well as aspects of social organization and follow manufacturing and distribution methods for a product or service from the pre-production phase (consumer needs, design) to the post-production phase (market distribution, satisfaction studies). At the end of this period, each student better understands the ways in which work is assigned, distributed, and organized in a business, as well as the different mechanisms that govern the production and distribution of a good (or service). The student also observes social relations in the workplace, and if permitting, any instances or services where statistical methods are or could be used. EXAMPLES: > Teacher s assistant in Physics and Chemistry at a secondary summer school > Assistant market analyst in computer helpline service > IT intern updating country s portal WebPages for Library of Congress > Aide in creation of international magazine REPORT: The internship is finalized with the completion of an Internship Report in French or English in which students detail their experience within the host organization and the different observations made during this enriching experience. NOTE: Completing and validating the First-Year Internship is mandatory but does not award the student with any credit. PERSONAL ACCOUNTS I did my internship in a Chinese contruction company located in the city of Cân Tho in Vietnam. I had to estimate the costs of a bridge construction over the Mekong. It was a truly rewarding experience because I discovered a new world, a new way of thinking and working. The languages spoken in the company were English, Mandarin and Vietnamese. I could not speak the last two, but it allowed me to significantly improve my English. I honestly think that going there gave me qualities that will undoubtedly help me to work in an Asian country in the future. Stéphanie Kauv Class of 2013 My First-Year Internship was in BforBank, a private subsidiary of Credit Agricole. I found it thanks to a third-year student who was currently completing an internship there, too. It took place at La Défense in Paris, an ideal environment to discover the professional world. There was also a very good atmosphere where I was welcomed, within the customer service relationship team composed of fairly young professionals. During this internship, I learned to adapt to new software, and the occasional statistical work that I had the opportunity to complete gave me valuable professional preparation. Overall, it was a fantastic experience. Julien Neveu Class of 2012

10 APPLIED STATISTICAL INTERNSHIP LENGTH: At least 8 weeks following the second year of study between mid-may and mid-september. Depending on the company/organization/research center s needs, the internship can be (and often is) extended to last from 8 to 12 weeks. OBJECTIVE: To allow students to put to practical use the theoretical knowledge acquired during their first two years at ENSAI. Advancing along their professional path, students spend this internship applying the numerous and sophisticated statistical tools acquired at ENSAI in an authentic, professional setting. DESCRIPTION: It is mandatory for the intern to have a specific task, or an investigation question, and for the context of the internship (data availability and statistical supervision) to allow the student to work on the topic and to respond to the investigation question in a suitable environment. A clear description of the internship, the context, the subject matter, as well as the methodology that will be used, should be clearly stated in the internship offer. The host organization nominates an Internship Supervisor who closely follows the intern from a technical point of view and optimizes the conditions in which the internship is carried out. EXAMPLES OF TYPICAL INTERNSHIP TOPICS: > Construction of scoring systems for credit cards > Applied research in airline revenue management forecasting using advanced time-series and customer choice models > Evaluating genetic counseling for mammogram referrals in women with a familial risk of breast cancer > Environmental risk factors of Hypospadias REPORT: At the end of the internship, students must complete an Internship Report in French or in English (12-15 pages). The supervisor has a role in evaluating the internship. PERSONAL ACCOUNTS With the intention of specializing in Biostatistics, I completed my second-year, Applied Statistical Internship in a Contract Research Organization (CRO) based in Paris. CROs are consultants for pharmaceutical laboratories. During this first statistical experience, I had the opportunity to apply many statistical analyses studied at ENSAI: survival analyses, ANOVA with repeated measures, regression This was such a great experience because I was involved in projects on varying subjects and learned a great deal about clinical trial guidelines. I am convinced that this internship will be very helpful for future jobs because it gave me a solid basis in clinical trials. Guillaume Desachy Class of 2011 END-OF-STUDIES INTERNSHIP This is the final step that allows students to obtain their degree, equivalent to a Master of Science in Statistics. LENGTH: From 5 to 6 months at the end of students third and final year of study between the beginning of April and the end of September OBJECTIVES: > Technical: A specific task is to be given to all interns who must, with the help of their theoretical knowledge and abilities, attempt to respond to this mission while making use of the surrounding environment as best as possible. > Professional: Interns are to mature in a working environment, to perfect their knowledge of the professional world, to enhance their interpersonal skills, and to progress in obtaining a first permanent position. DESCRIPTION: The internship focuses on a genuine project compatible with the high level courses taught at ENSAI and must be of a clearly graduate level (equivalent to 5 years of post-secondary education, or Master s level). Furthermore, the subject of the internship must be closely related to the student s area of specialization at ENSAI. The professor monitoring the internship, the Director of Studies (Dean) as well as the Office of Communications and Public Relations must approve each project. A clear description of the internship must be stated in the internship offer. The statistical methods called upon to carry out the project can demand extended research on the part of the student. The subject, terms, and all details of the internship are included in a 3-way Internship Agreement between the student, ENSAI, and the organization. The host organization names an Internship Supervisor assigned with the task of closely following the intern from a technical point of view and optimizing the conditions in which the internship is carried out. At the onset of the internship, all required real data should immediately be made available. EXAMPLES OF TYPICAL INTERNSHIP TOPICS: > Developing a fragile scoring chain > Modeling the correlation between credit risk and market risk > Web mining and measuring the audience on the internet through the use of artificial intelligence tools in auditing > Studying mixed models to compute coefficients of random heteroscedastic regression in quantitative genetics INTERNSHIP REPORT: The intern must produce a page final report. An oral defense is organized in front of a jury composed of a president, a vice-president and an ENSAI professor. The internship supervisor is also asked to evaluate the intern. The final mark takes the jury s comments as well as those of the Internship Supervisor into account. PERSONAL ACCOUNTS My two months abroad in Boston at Averion International studying Clinical Trial Statistics were a really good experience. I learned a lot from a statistical point of view: I read papers to learn new methods, compute them, and apply them to current studies which were used and sent to clients. I had the feeling of doing something useful and very interesting! From a personal point of view, it was a wonderful experience; people were so nice and friendly. During this time, I learned a great deal about the language, a new culture and a new way of life. I hope to do it again! Marie-Karelle Rivière Class of 2011 After my specialization in Quantitative Marketing and CRM, I began a 6-month internship at an e-retailer company in Barcelona, with colleagues coming from 34 different countries. This highly international environment introduced me to new ways of working, and convinced me that Statistics are valuable and considered everywhere as a crucial, decision-making tool. Indeed, in this company, there was an unlimited volume of data available, in which anyone could become easily lost. But my statistical expertise learned at ENSAI helped me to understand marketing issues, turn them into coherent analytical plans and build models in order to generate insight and provide recommendations. Arnaud Amaraggi Class of 2009 GAP YEAR INTERNSHIP (OPTIONAL) Motivated students who desire to acquire long-term professional experience before graduating may choose to take a year off from their studies between their second and third years in order to work full time applying the statistical methods they have learned thus far. This can take place within the same organization that welcomes a student for the Applied Statistical Internship. All conditions and details of the internship are set forth in a 3-way Internship Agreement between the student, ENSAI, and the organization. My End-of-Studies Internship took place at ONERA (Office National d Etudes et Recherches Aérospatiales), which is the French National Aerospace Research Center, in the Information Processing and Modeling Department. For six months, I worked on Bayesian filtering methods related to aerospace issues. I had the opportunity to talk with many engineers and researchers. It gave me more insight into Statistics and its link to other scientific fields. Today, I am still at ONERA as a PhD student, working on nonlinear Bayesian filtering. This final internship was a formative experience as the first step of doctoral research work. Paul Bui Quang Class of 2009

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