France

MSc in Data Science and Analytics

France

EPITA Graduate School of Computer Science

Paris, France

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About Course


Key information
Duration
: 18 Month
Study Type
: Full Time
Tuition fees
: 12,900 EUR / 0
Exam Accepted
: TOEFL
Exam Intake
: Mar | Sep
Conditional Scholarship
: NA
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  • The Master of Computer Science program at EPITA is spread over a period of 18 months and divided into 3 semesters. It is accredited by the CGE (Conférence des Grandes Ecoles).
  • The MSC consists of 2 semesters at school and one semester dedicated to an internship. 
  •  It is a certified diploma that can be delivered only by a member of the CGE.
  • Our Master of Computer Science enables students to acquire advanced skills and a high level education.

Fundamental Semester

This semester aims at providing students with a strong background in the field of education. This semester is common to all three areas of specialization.

Term 1

Technical Skills Business Exposure Cultural Integration

Advanced Algorithmic

IT Overview

Operating Systems

Business & Technical Writing

Corporate Finance

Getting over culture shock

French language for foreigners

Cultural Integration Workshop

This semester is designed for students who attend the Master of Computer Science program. It provides a solid common background of technical aspects of computer science through various disciplines.

Students gain knowledge in concepts and terminology related to the computer science field . Teaching units include management, programming, networks and systems, humanities and cultural integration.

Term 2

Technical Skills Business Exposure Advanced Technical Skills & Engineering Science

Data Flow & Computer Networks

Digital Risks & Network Architecture

OOA & UML & Java

Cyber ​​Teacher

Project Management I

Research & Innovation Project - Consulting Phase

Marketing Systems

Career Project Elaboration

French courses

International Week Workshop

Digital marketing & Social Media Strategy

Change Management

Cross-border Management

Cultural Integration Workshop

Knowledge Management & Innovation

Career Project Elaboration

Applied Statistics for Engineers

Introduction to Data Science with Python

Common Core

This period is shared by all students within the same cohort. The purpose of this core is to provide students with a deep knowledge of advanced management and engineering science, as well as business exposure . Sports and extracurricular activities are also included. Students pursuing the three specializations should share these skills to start their career smoothly and efficiently.

Term 3

Business Exposure

Research & Innovation Project - Implementation Phase

French courses

Data Science & Analytics (DSA)

The program provides a good foundation in machine learning and programming along with practical experience. The aim of this specialization is to combine data processing and statistical science with data processing and data processing (Big Data) and to learn how to develop methods, algorithms and software that can extract value from them. It provides a combination of technical classes in data mining and distributed systems that are highly valued by the professional market. 

  • The DSA program is an opportunity for IT engineers and specialists to differentiate themselves and advance their knowledge in a field that will be paramount to the future of business.

Term 3

Company Information Systems Data Science Analytics

Advanced PM: Scrum / Agile

Business Intelligence (BI) & Data Warehouse

Customer Relationship Management (CRM)

Green IT

IT Strategy, Software Costs and ROI

Big Data Architecture

Advanced Machine Learning

Optimization for Data Science

Deep Learning

Data Visualization

Social Media & Web Analytics

Predictive Analytics & Data Mining

Statistical Models and Regression

Entry Requirement


Applicant must be a High school graduate or equivalent

EPITA Graduate School of Computer Science

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