Detailed Curriculum

 

Year 1

 

Semester 1

Basic Tools in Mathematics

Analysis 1

Algorithmics & Programming 1

Electricity

Probability 1

Micro Economics

Principles of Accounting

Excel VBA

Project

Enlightenment sessions

Contemporary Issues Module

Humanities and Social Sciences : Sociology

ICP

 

Semester 2

Analysis 2

Mechanics

Probability 2

Algorithmics and Programming 2

Principles of Finance

Macro Economics

Project

Enlightenment Sessions

Contemporary Issues Module

Humanities and Social Sciences : Ethnology

Oral Expression

Linear Algebra

 

1st Year Internship

4 weeks

 

Year 2

 

Semester 1

Bilinear Algebra

Dynamic Web Programming

Multivariable Calculus

Object Oriented & Java Programming

Relational Databases

Project Management

Project

Enlightenment Sessions

Contemporary Issues Module

ICP

 

Semester 2

Series

Introduction to Statistics

Data Analysis

Computer Networks

Operating Systems

Electromagnetism

Financial Analysis

Project

Enlightenment Sessions

Contemporary Issues Module

ICP

 

2nd Year Internship

8 weeks

 

Year 3

 

Semester 1

An Introduction to Deep Learning

Time Series Analytics and Mining

Social Network Analysis

Text Mining and Natural Language Processing

Logic Programming

Fundamentals of Data Mining

Introduction to Information Theory

Project

Contemporary Issues Module

Individual and Collective Practices

Mobile Programming

Statistics : advanced course

 

Semester 2 (in Singapour)

Heuristics, Artificial Intelligence, Machine and Deep Learning

Data Mining 2

Data and Critical Thinking

Project

 

3rd Year Internship

16 weeks

 

Year 4

 

Semester 1

Cloud Computing

NoSQL Database

Language Theory

Data Integration

Business Intelligence

Web Semantic

Parallel Processing

Project

Contemporary Issues Module

Individual and Collective Practices

 

Semester 2

Constraint Programming & Optimization

Game Theory

Data Governance

Project

Contemporary Issues Module

Individual and Collective Practices

 

4th Year Internship

16 or 24 weeks

 

Projects

During semester-long projects, students will have to deepen their knowledge or learn new concepts to solve issues. Students will have to apply their knowledge and skills to real-life projects whose topics are negociated with the teacher. They benefit from a significant agency in this context.

 

Contemporary Issues Modules

Every year two weeks are dedicated to Contemporary Issues Modules (one week in each semester). These sessions aim to develop students’ soft skills through challenges related to  21st century issues, by the design of innovative digital solutions. Those sessions will also provide the opportunity for students to understand how to use the course material in different contexts or to tackle new notions using tutorials.

 

Individual and Collective Practices

The morning session are devoted to the blog. Students will set up a blog and they will post press review or papers focusing on current topics related to Data Science, technology, innovation. During afternoon sessions, various approches can be followed, such as the use of digital platforms to train students to acquire, by themselves, new technical skills in Data Science and Web Development.

 
Conference Speaker

Weekly conferences : enlightenment Sessions

Once a week, students attend a conference with a different speaker. The objective is to open horizons on topics which are not necessarily directly related to Data Science, to debate, and more generally to broaden their general culture.

 
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