Program
Our program offers a wide range of options.
To be successful, students must have good knowledge of the most advanced and up to date areas of Computing technology and Computer Science.
Our Master’s degree program in Computer Science offers four specializations as listed:
- Information Systems Management
- Software Engineering
- Computer Security
- Data Science & Analytics
The program includes courses common to all students as well as specific semesters depending on your choice of specialization.
Our Master of Computer Science provides a perfect combination of the most important and powerful theoretical basis of computing, and their applications in the areas of current technology and professional fields.
Fundamental Semester
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 business exposure, programming, networks and systems, and cultural integration.
S1 Fundamental Semester
| Teaching Unit | Course |
| Business Exposure | Business & Technical Writing |
| Digital Marketing and Social Media Strategy | |
| Project management (#1) | |
| Cultural Integration | Cultural Integration Workshop |
| French language program MSc (A1) | |
| Getting over the culture shock | |
| Technical Skills | Advanced Algorithmics |
| Data Flow and Computer Networks | |
| Databases | |
| Information Technologies Overview | |
| OOA & UML & Java | |
| Operating Systems: Unix |
Common Core Specialization Semester
This period is shared by all students within the same cohort. The purpose of this core is to provide students with in-depth knowledge of advanced management and engineering science, as well as business exposure. Sports and extracurricular activities are also included. Students pursuing the four specializations should have these skills to start their career.
S2 Common Core Specialization Semester
| Teaching Unit | Course |
| Advanced Management & Engineering Science
|
Change Management |
| Cross-border Management | |
| Knowledge Management & Innovation –Theory and practice
|
|
| Business Exposure
|
Career Project Elaboration |
| Corporate Finance | |
| International Week | |
| Project for Research & Innovation (#1) | |
| French language program MSc (A2) | |
| Technical Skills | Applied Statistics for Engineers |
| Digital Risk Management | |
| Fundamentals of Human-Centered Design | |
| Introduction to Data Science with Python |
Information Systems Management ISM
This program aims at providing knowledge of the fundamentals of IT strategic planning, IT implementation and organizational management. Graduates will become highly skilled professionals with a multifaceted understanding of how technology can improve an organization’s performance and enable its members to share and access information, plan and collaborate, while having the analytical edge to strategically plan for future growth.
S3 Information Systems Management
| Teaching Unit | Course |
| Advanced Management & Engineering Science | Advanced PM: Scrum / Agile |
| Green IT | |
| ITIL | |
| Business Exposure
|
French language program MSc (A2-B1) |
| New Business Opportunities – Business Model Innovation (#1) | |
| New Business Opportunities – Business Model Innovation (#2) | |
| Project for Research & Innovation (#2) | |
| Enterprise Information Systems
|
Business Intelligence (BI) & Data Warehouses |
| Customer Relationship Management (CRM) | |
| Finance for IT Managers | |
| How to succeed in implementing an ERP Project | |
| Information Systems Management | |
| IT Governance | |
| IT Purchase | |
| IT Strategy, Software Costs and ROI. | |
| Supply Chain Management (SCM) |
Software Engineering SE
The program emphasizes the development of quality software and the transfer of this knowledge to the industry. Topics include requirements and system design, testing strategies, and software development, providing students with the skills needed to carry out major Software Engineering projects.
Software Engineering students should learn how to build software that is genuinely useful and usable by the customer and satisfies all the requirements defined for it.
S3 Software Engineering
| Teaching Unit | Course |
| Advanced Management & Engineering Science | Advanced PM: Scrum / Agile |
| ITIL | |
| Advanced Programming
|
.NET and C# Programming |
| Advanced C | |
| Advanced Databases | |
| Advanced Java Programming | |
| Advanced Web Development | |
| Software & Database Security | |
| Software Industrialization | |
| Software Quality Assurance | |
| Structured Data & Transportation | |
| Business Exposure | French language program MSc (A2-B1) |
| Project for Research & Innovation (#2) | |
| Mobile Application Development | Android Software Stack |
| Mobile Application Development based on iOS |
Computer, Application, Network & Information Security CANIS
This program aims at providing a solid background in the design and management of companies’ system and network architecture. This specialization also focuses on network security and cryptography by including elements from both disciplines in the curriculum.
Students in Computer Security will benefit from a disciplined approach to understanding the management, technical and legal issues associated with the security of information from a benchmarked step by step approach resulting in optimal security within risk tolerance limits.
S3 Computer, Application, Network & Information Security CANIS
| Teaching Unit | Course |
| Advanced Security
|
Digital Forensics & Incidence Response |
| Malware Analysis | |
| Penetration Testing | |
| Reverse Engineering | |
| Secured Network Architecture | |
| Security Audit | |
| Software & Database Security | |
| Unix System Administration | |
| Web Security | |
| Business Exposure | French language program MSc (A2-B1) |
| Project for Research & Innovation (#2) | |
| Security & Management | Introduction to Cryptology |
| PKI, DMZ & Proxy | |
| Python for Security |
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 computer and statistical sciences to develop top edge tools to efficiently deal with data processing (Big DATA) and to learn how to develop methods, algorithms and software. It provides also a combination of technical classes in data mining and distributed systems joined with essentials in business to prepare profiles who 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.
S3 Data Science & Analytics
| Teaching Unit | Course |
| Business Exposure | French language program MSc (A2-B1) |
| Project for Research & Innovation (#2) | |
| Enterprise Information Systems | Advanced PM: Scrum / Agile |
| Business Intelligence (BI) & Data Warehouses | |
| Customer Relationship Management (CRM) | |
| Green IT | |
| IT Strategy, Software Costs and ROI. | |
| Data Science | Advanced Machine Learning |
| Big Data Architecture | |
| Deep Learning | |
| Optimization for Data Science | |
| Analytics | Data Visualization |
| Predictive Analytics & Data Mining | |
| Social Media & Web Analytics | |
| Statistical Models and Regression |
Internship
The last semester, the internship, is part of the MSc program and is therefore compulsory. Such an experience is essential for cultural, educational and cultural reasons: using new competencies in a new environment is a priceless advantage for every student at EPITA. Even for those who already have a working experience here or abroad, the internship opens doors to students for a bright future full of new opportunities.
Students of our Master of Science are paid between €1 000 and €1 500 per month during their internships.
