Program Details

pages-image

Ms in Computer Science

The Ms in Computer Science is an advanced and industry-oriented program designed to train high-level professionals capable of developing, securing and managing modern technological systems.

This program prepares students to grow within fast-evolving fields such as artificial intelligence, software engineering, data science, cybersecurity, cloud technologies and digital innovation.

Students acquire strong technical, analytical and managerial skills that are essential for engineering roles, architectural design, technical leadership and digital transformation projects.

Request for information

Duration

2 Years

Certification

Level 7 (EU) – Click here to view the certification

Intake

March, June, October

Upon completion, students will be able to:

Analyze and model complex information systems

Design modern and scalable software architectures (micro-services, APIs, distributed systems)

Develop advanced software solutions using multiple programming paradigms

Build, administer and secure infrastructures and networks (cloud, virtualization, IoT)

Implement cybersecurity frameworks, cryptography and IT audits

Develop AI, machine learning and big data-driven applications

Lead technical projects, manage teams and support digital innovation

Target Audience

Bachelor graduates in computer science, digital technologies, mathematics or engineering

home.international_students_seeking_advanced

Professionals wishing to upgrade or specialize in technical fields

Entry Requirements

Bachelor’s degree (or equivalent)

Technical assessment + admission interview

Programming knowledge required

Year 1 – Advanced Foundations & System Engineering

Advanced Algorithms & Data Structures

Software Architecture & Software Engineering

Advanced Databases (SQL/NoSQL, optimization)

Multi-Paradigm Programming (Python, Java, C++, Rust)

Systems & Network Administration

Introduction to Cybersecurity

Cloud Computing & Virtualization

Technical Project – Level 1

Year 2 – Expertise, Innovation & Specialization

Artificial Intelligence & Machine Learning

Big Data & Data Engineering

Advanced Security, Auditing & Ethical Hacking

Distributed Systems, DevOps & CI/CD Pipelines

Information Systems Governance & IT Strategy

Digital Innovation & Applied Research

Internship or Work-Study (4 to 6 months)

Final Thesis or Applied Innovation Project

Technical workshops and intensive lab sessions

Real-world IT projects, hackathons and innovation challenges

Case studies from technology companies (AI, security, cloud)

Expert-led workshops (engineers, architects, cybersecurity specialists)

Professional tools & platforms: Git, Kubernetes, Docker, AWS, Azure, Linux

Individual coaching: technical portfolio (GitHub), career support

Continuous assessment (quizzes, technical assignments, presentations)

Supervised engineering projects

Professional reports and practical evaluations

Internship assessment (company + academic supervisor)

Final thesis or innovation project defense

Graduates can pursue roles such as:

Software Engineer / R&D Engineer

Cloud Architect / Software Architect

Cybersecurity Expert

DevOps Engineer / Systems Engineer

Data Scientist / Data Engineer

Technical Project Manager / IT Consultant

Senior Full-Stack Developer

Infrastructure & Security Manager

Request for information

Join Us

Would you like to become part of the Paris Business Academy community?

Our admission process is simple, accessible, and completely free. We invite you to contact us so that we can schedule you for one of our admission sessions and discuss your goals with our team.

I GET IN TOUCH

Paris Business Academy

22 rue Gustave Eiffel 78300 Poissy France

Follow Us:

Programs