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1st-Year Engineer Statistician Curriculum

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 foundation 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 acquiring and reinforcing the core foundations necessary to become a skilled data scientist.

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 Computer Science. Students learn to apply their knowledge acquired during this first, crucial year of study through a group project in Statistics as well as a project in Economic Theory. Professionals as well as permanent ENSAI teachers supervise these projects.

Semester Hours ECTS Credits Total in the block
Semester 1 – Student from Economics Backgrounds
UE 1-01 E-IS – Probability and Advanced Mathematics
Mathematical Foundations 21 1 10
Stat 1 IES: Integral Calculus 39 3.5
Stat 2 IES: General Probability 60 5.5
UE 1-02 M-E-IS – Descriptive Statistics
Descriptive Statistics 31.5 2.5 6
SAS 9 1.5
Intermediate Report for Statistical Project 2
Tools & Software for Statisticians 9 0
UE 1-03 M-E-I – Databases and Programming
Relational Databases 24 3 6
Algorithm Design and Complexity 30 3
UE 1-04 E – Economics
Contemporary Macroeconomics or Economics Project 27 2.5 5
Microeconomic Modeling 36 2.5
UE 1-05 M-E-IS -Humanities
English 24 2 4
(Tandem Linguistic Exchange S1*) 20 2
(French as a Foreign Language*) 21 2
31 credits
TOTAL Semestre 1
Semester Hours ECTS Credits Total in the block
Semester 1 – Student from Mathematics Backgrounds
UE 1-01 E – Probability and Advanced Mathematics
Stat 1 M: Integration 39 3.5 9
Stat 2 M: Probability 60 5.5
UE 1-02 M-E-IS – Descriptive Statistics
Descriptive Statistics 31.5 2.5 6
SAS 9 1.5
Intermediate Report for Statistical Project 2
Tools & Software for Statisticians 9 0
UE 1-03 M-E – Databases and Programming
Relational Databases 24 3 6
Algorithm Design and Complexity 30 3
UE 1-04 E – Economics
Contemporary Macroeconomics 27 2.5 6
Microeconomic Modeling 30 2.5
Introduction to Social Sciences 18 1
UE 1-05 M-E-IS – Humanities
English 24 2 4
(Tandem Linguistic Exchange S1*) 20 2
(French as a Foreign Language*) 21 2
31 credits
TOTAL Semestre 1
Semester Hours ECTS Credits Total in the block
Semester 2 – Common for all students
UE 1-06 E-IS – Inferential Statistics
Introduction to Inferential Statistics 36 3 6
Introduction to Statistical Tests 36 3
UE 1-07 M-E-IS – Introduction to Statistical Learning
Multivariate Exploratory Data Analysis 48 3 6
Optimization & Numerical Methods 30 2
Statistics with R 36 1
UE 1-08 M-E-IS – Programming with Python
Introduction to Object-Oriented Programming 30 2.5 5
Data Mining Project 13 2.5
UE 1-09 Economic Modeling 2
Microeconomics 24 0 5
Macroeconomic Modeling 27 2.5
Economics Project 12 1.5
Management 10.5 1
UE 1-10 M-E-IS – Descriptive Statistics Project
Statistics Project 27 4.5 5
Coaching & Communication 8
Report Writing Techniques 15 .5
UE 1-11 M-E-IS – Humanities
English 24 2 4
(Tandem Linguistic Exchange S1*) 20 2
(French as a Foreign Language*) 21 2
TOTAL Semester 2 31 credits
TOTAL Academic Year      62 credits

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