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Master i ENSAI Statistics, Mathematics (Applied)

Majors:
Advanced Statistical Engineering
Biostatistics

Official Title
Master de recherche en statistique et économétrie (co-habilité avec l'Ensai, l'UFR de Mathématiques de Rennes 1, et l'Insa de Rennes)

Institute website
http://www.ensai.fr
Program

Course language
Major M1 M2
Advanced Statistical Engineering French French
Biostatistics French French

The M1 section is taught by
The institute : ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information

The M2 section is taught by
The institute : ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information AND the Faculty of Mathematics at the University of Rennes 1

Domains
Biomedical, Health, Mathematics (Applied), Quality, Statistics, Signal and image processing
Section M1

Location
ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information
ENSAI
Campus de Ker Lann
Rue Blaise Pascal - BP 37203
35172 Bruz Cedex
France

Cost of M1
764 euros

Description M1
The second year of study (level M1) is made up of fundamental and optional courses involving advanced theories in statistics. Second-year classes carry on from the first-year studies with a combination of introductory and in-depth classes. Some form the core syllabus, and others are taken as options to enable students to start specializing in one of the principal fields in which statistics is used by choosing their classes during the second semester. Statistical engineering students make their choices on the basis of their intended third-year specialization. The students learn the techniques essential for their future profession as statisticians and also have specific classes in high-level computer language such as SAS, SPSS, C++, and Java. Applied work group projects permit the students to apply, from real-life data, a wide range of knowledge acquired during the first two years of study. These projects are closely followed and monitored by professionals and academics alike.


The end of the M1 year leads to the Applied Statistical Internship lasting at least 8-12 weeks, starting in June. Students write up a 10-15 page report on this internship on which their work experience is assessed. This report provides a reasoned presentation of the statistical methods used and the principal results.This report provides a reasoned presentation of the statistical methods used and the principal results. This internship must be carried out within a current market competitive company, a public or private research centre or a government organisation or administration. The objective of the internship is to ensure the practical application of the theoretical teachings. The following are examples of internship themes: statistical analysis and SAS programming; the development of statistical tools for the evaluation of nutritional programs on test; clinical data management and statistical analysis; credit card analytics; statistical software development for generalized linear and non-linear mixed models.

Note: the first semester of the ENSAI's 2nd year (M1) is highly adapted to each n+i student and is modified on an individual basis and therefore changes with each student. It also will include FLE (francais comme langue etrangere) courses.

Scholarships M1
Foreign students through n+i may be eligible for the scholarships available from the "n+i" Network (Bni). Other than those, there are also some possibilities: • International students are entitled to apply for ENSAI's grant based on financial need. There are 6 levels of eligibility for the grant, varying from simple exemption from ENSAI's annual registration/tuition fees (550 € + 200 € cost of mandatory student health insurance coverage) to around 4,000 € annually at the greatest level. Most n+i students would qualify for nearly the maximum amount. In order to apply, students must supply ENSAI with their parents' most recent tax return. • International students are entitled to an accommodation allowance (APL/ALS) from the French government to help with the cost of rent. • Gustave Eiffel scholarships from the French government (BGF) for international students admitted to a degree awarding program and showing proof of outstanding academic performance (application deadline in December). • French Embassy scholarships program: For more information contact the local French Embassy. When other foreign students (non-n+i students) come to ENSAI, other grants or scholarships they may receive come from their home country and/or sending institution (if they're studying abroad temporarily from another university or engineering school).


Period 1
September - January Language Hours* Credits*
Note: a part of (or all) the M1-Period 1 will be replaced by a "n+i" special package designed for foreign student.
See the Methodology Integration Package (PIM) for more informations.
or
Core
LINEAR MODELS fr 45.50 5.00
TIME SERIES en 37.00 4.00
MULTIVARIATE DATA ANALYSIS fr 40.00 3.50
SAMPLING THEORY fr 39.50 3.50
SUPPORTING COURSES FOR COMPUTER SCIENCE PROJECT fr 5.50 1.00
COMPUTER SCIENCE PROJECT fr 6.50 4.00
ECONOMETRICS fr 39.50 5.00
ANOVA fr 17.00 2.00
ENGLISH en 30.00 2.00
Period 2
January - May Language Hours* Credits*
or
Core
PROJECT IN STATISTICS fr 12.50 5.00
GENERALIZED LINEAR MODELS AND REGRESSION ON CATEGORICAL DATA fr 19.50 2.00
MISSING DATA fr 10.00 1.00
COMPUTERIZED STATISTICAL INFERENCE fr 35.50 3.00
SURVIVAL ANALYSIS fr 19.50 2.00
IT AND COMMUNICATION TECHNOLOGIES fr 10.00 1.00
PROGRAMMING IN C++ fr 19.50 2.00
R AND C++ fr 10.00 1.00
NONPARAMETRIC ECONOMETRICS fr 20.00 2.00
ECONOMIC INFORMATION AND DECISIONS fr 20.00 2.00
HUMANITIES COURSE #1 fr 20.00 1.00
HUMANITIES COURSE #2 fr 20.00 1.00
INTERPERSONAL COMMUNICATION fr 5.00 0.50
PROFESSIONAL PREPARATION fr 12.50 1.00
APPLIED STATISTICAL INTERNSHIP TO BE COMPLETED IN FRANCE OR ABROAD (2-3 months beginning in June; 5 credits to appear on following year's grade transcript; hours listed are an approximation and will depend on internship requirements) fr 300.00 5.00
Elective courses, choose 3 in "ELECTIVE COURSES (CHOOSE 3, KEEPING IN MIND NOT ALL WITH BE COMPATIBLE TOGETHER FOR SCHEDULING REASONS) (Key: CS = Computer Science, E = Economics, S = Statistics)"
FINANCE (E) fr 20.00 2.00
MARKETING (E) fr 20.00 2.00
HEALTHCARE SYSTEMS (E) fr 20.00 2.00
STRATEGIES AND MARKETS (E) fr 15.50 2.00
MOBILE TECHNOLOGIES (CS) fr 20.00 2.00
VISUAL BASIC PROGRAMMING USING EXCEL (CS) fr 20.00 2.00
ADVANCED REGRESSION MODELS (S) fr 19.50 2.00
MARKOV CHAINS - MIXED MODELS (S) fr 20.00 2.00
MARTINGALES AND LEVY PROCESS (S) fr 20.00 2.00
DISCRIMINANT ANALYSIS (S) fr 29.50 2.00

* The number of course hours may be subjected to slight variations.
* More informations about ECTS credits.
Section M2

Location
ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information AND the Faculty of Mathematics at the University of Rennes 1
ENSAI
Campus de Ker Lann
Rue Blaise Pascal - BP 37203
35172 Bruz Cedex
France

AND:

University de Rennes 1
UFR de Mathématiques
263 avenue du Général Leclerc - CS 74205
F-35042 Rennes Cedex
France

Cost of M2
764 euros

Description M2
The third year of study (level M2) 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. This introduction is completed by professional seminars which are held throughout the year to complement theoretical classes.

These bright and motivated students must commit to study through applied or theoretical research in conjunction with their ENSAI studies. They must have first successfully completed their M1 year to be admitted into either of the two possible 3rd-year specializations: Advanced Statistical Engineering or Biostatistics. They then follow some courses from the Master 2 program for statistical research at Université Rennes 1 (http://etudes.univ-rennes1.fr/master-mathematiques) alongside their ENSAI studies.

At the end of the third year (M2), the End-of-studies Internship adds a new professional dimension to the students' scientific studies and is the final step that allows students to obtain their degree. Beginning in April and lasting 5 to 6 months, this internship enables the students to apply what they have learned in their third, specialized year of studies (M2). Students work in the statistical, I.T., or economics departments of public or private companies in France or abroad, and learn how to draw on what they have learned and discover their future professional environment. Students write up a report on this period and then have an oral defense in November. The jury, or examining board, then decides whether or not to validate their internship on the basis of the report from the president of the jury.

Scholarships M2
Foreign students through n+i may be eligible for the scholarships available from the "n+i" Network (Bni). Other than those, there are also some possibilities: • International students are entitled to apply for ENSAI's grant based on financial need. There are 6 levels of eligibility for the grant, varying from simple exemption from ENSAI's annual registration/tuition fees (550 € + 200 € cost of mandatory student health insurance coverage) to around 4,000 € annually at the greatest level. Most n+i students would qualify for nearly the maximum amount. In order to apply, students must supply ENSAI with their parents' most recent tax return. • International students are entitled to an accommodation allowance (APL/ALS) from the French government to help with the cost of rent. • Gustave Eiffel scholarships from the French government (BGF) for international students admitted to a degree awarding program and showing proof of outstanding academic performance (application deadline in December). • French Embassy scholarships program: For more information contact the local French Embassy. When other foreign students (non-n+i students) come to ENSAI, other grants or scholarships they may receive come from their home country and/or sending institution (if they're studying abroad temporarily from another university or engineering school).


Period 1
September - March Language Hours* Credits*
or
Core
PROJECT MANAGEMENT fr 10.00 1.00
CORPORATE LAW fr 10.00 1.00
ENGLISH en 30.00 2.00
COMMUNICATION (OPTIONAL) fr 5.00 0.00
HUMANITIES COURSE (OPTIONAL) fr 20.00 0.00
Major to be chosen
or
Major : Advanced Statistical Engineering
NONLINEAR MODELING fr 19.50 1.00
EXTREME VALUE THEORY fr 21.00 1.00
ADVANCED FINANCIAL ENGINEERING MODELS fr 14.00 1.00
MODERN METHODS OF PARAMETRIC STATISTICS en 10.00 1.00
MARKOVIAN MODELS FOR IMAGE ANALYSIS fr 25.50 1.50
IMAGE ANALYSIS PROJECT fr 14.00 1.50
LINEAR AND NONLINEAR FILTERING fr 11.50 1.00
GEOSTATISTICS fr 11.50 1.00
SEMIPARAMETRIC FORECASTING fr 13.00 1.00
STATISTICAL QUALITY CONTROL en 20.00 2.00
DURATION MODELS fr 10.00 1.00
DESIGN OF EXPERIMENTS fr 14.00 1.00
RISK MANAGEMENT AND OPERATION SAFETY (presence required but does not award student with any credits) fr 6.00 0.00
RELIABILITY fr 25.50 2.00
MODERN STATISTICAL LEARNING fr 15.50 2.00
NEURAL NETWORKS fr 8.50 1.00
GRAPHICAL MODELING UNDER THE BAYESIAN PARADIGM fr 15.50 1.50
FINAL YEAR PROJECT (IN MARCH AT ENSAI) fr 11.50 2.00
METHODOLOGICAL RESEARCH PROJECT (plus oral defense for Master's at University of Rennes 1 in February) en 5.00 2.00
STATISTICS OF STOCHASTIC PROCESSES (at University of Rennes 1) fr 24.00 6.00
NONPARAMETRIC STATISTICS (at University of Rennes 1) fr 24.00 6.00
PARAMETRIC ESTIMATION (at University of Rennes 1) fr 24.00 6.00
or
Major : Biostatistics
NONLINEAR MODELING fr 11.50 1.00
ADVANCED BAYESIAN STATISTICS fr 11.50 1.00
COMPARTMENTAL MODELING fr 10.00 0.50
DESIGN OF EXPERIMENTS fr 17.00 1.50
MIXED MODELS fr 22.50 1.50
SURVIVAL ANALYSIS APPLIED TO BIOSTATISTICS fr 22.50 1.50
MEASURING QUALITY OF LIFE fr 15.50 1.00
SEQUENTIAL METHODS IN CLINICAL TRIALS fr 22.50 1.00
MISSING DATA en 11.50 0.50
META ANALYSIS en 15.50 1.00
CLINICAL TRIALS fr 20.00 1.00
PHARMACOMETRICS fr 11.50 0.50
ECONOMIC EVALUATION IN HEALTH CARE fr 20.00 1.00
QUANTITATIVE EPIDEMIOLOGY fr 20.00 1.00
EPIDEMIOLOGY WORKSHOP fr 17.00 1.00
HEALTH AND ENVIRONMENTAL TOPICS PROJECT fr 22.50 2.50
GENOMICS fr 17.00 0.50
GENETICS PROJECT fr 17.00 2.50
METHODOLOGICAL RESEARCH PROJECT (oral defenses in January at University of Rennes 1 and in February at ENSAI) fr 15.00 2.50
PROFESSIONAL SEMINAR (SENSORY STUDIES) (presence required but does not award student with any credits) fr 12.00 0.00
NONPARAMETRIC STATISTICS (at University of Rennes 1) fr 24.00 6.00
PARAMETRIC ESTIMATION (at University of Rennes 1) fr 24.00 6.00
STATISTICS OF STOCHASTIC PROCESSES (at University of Rennes 1) fr 24.00 6.00
Period 2
April - September Language Hours* Credits*
or
Core
END-OF-STUDIES INTERNSHIP TO BE COMPLETED IN FRANCE OR ABROAD (5-6 months from April through August/September. Hours listed are an approximation and will depend on internship requirements. Oral defense of Internship Report either June [earlier for grant s fr 500.00 25.00

* The number of course hours may be subjected to slight variations.
* More informations about ECTS credits.