
Paris, France

Paris, France

Cost Of Living

The mission of DSTI School of Engineering is to empower individuals and organizations to thrive in the digital age by providing world-class education in data science and engineering. We are committed to delivering applied, industry-relevant training that transforms students into highly skilled professionals, fosters a culture of continuous innovation, and contributes to solving complex challenges through technology and data-driven solutions.
A leader in applying ML to personalized medicine, Léa oversees a team developing predictive models for patient outcomes... View More
A leader in applying ML to personalized medicine, Léa oversees a team developing predictive models for patient outcomes, significantly improving treatment plans in oncology. View Less
Pierre co-founded a company that uses satellite imagery and IoT sensor data to optimize irrigation and crop yields for s... View More
Pierre co-founded a company that uses satellite imagery and IoT sensor data to optimize irrigation and crop yields for sustainable farming, revolutionizing agricultural practices. View Less
A prominent voice in responsible AI, Fatima advises multinational corporations on implementing ethical AI frameworks, en... View More
A prominent voice in responsible AI, Fatima advises multinational corporations on implementing ethical AI frameworks, ensuring fairness and transparency in automated decision-making. View Less
Marc architects scalable cloud solutions that handle millions of transactions daily, driving the digital transformation ... View More
Marc architects scalable cloud solutions that handle millions of transactions daily, driving the digital transformation and omnichannel strategy of a major retail brand. View Less
Chloé develops advanced algorithmic trading models in a highly competitive environment, leveraging her DSTI skills in s... View More
Chloé develops advanced algorithmic trading models in a highly competitive environment, leveraging her DSTI skills in statistical modeling and high-frequency data analysis. View Less
DSTI’s infrastructure is built to support a high-tech learning environment. The campus features a robust, high-speed fiber-optic network, secure cloud computing resources accessible to all students, and servers configured for big data processing and machine learning tasks. Classrooms are equipped with smart boards and video conferencing systems to facilitate hybrid learning and collaboration with international experts and partner institutions.
Student life at DSTI is vibrant and community-oriented, balancing intense study with enriching activities. Students organize and participate in tech hackathons, coding competitions, and thematic workshops. The multicultural environment, with students from diverse backgrounds, fosters a strong sense of camaraderie. Social events, club activities, and exploration of the French Riviera contribute to a well-rounded and memorable educational experience.


The DSTI Careers Service is a cornerstone of the student experience, offering end-to-end support. Services include personalized career coaching, CV and LinkedIn profile optimization tailored for tech roles, mock technical interviews with industry volunteers, and salary negotiation workshops. The service also manages a exclusive job board featuring opportunities from partner companies and organizes the annual DSTI Career Fair, a major networking event.
The below information is required while
completing the university application :
Require a high school diploma (Baccalaureate or equivalent) for entry into first year, or a Bac+2 (Associate's level) for direct entry into the third year. Foundational knowledge in mathematics and logic. Interview and assessment of motivation.
Know moreDSTI hosts regular recruitment forums and company presentation days, attracting a wide array of tech firms, from global giants to innovative startups. The school’s dedicated Careers Service actively facilitates student recruitment by organizing on-campus interviews, CV workshops, and networking events. Many students secure internships and permanent positions through these direct channels, often before graduation, due to the strong industry demand for DSTI’s specialized skill sets.



DSTI has established itself as a leader in digital education, recognized for its high graduate employment rates and industry relevance. Achievements include accreditations from key French professional bodies, successful partnerships with over 200 international corporations, and a consistent track record of student projects evolving into market-ready solutions or startups. The school is frequently cited for its innovative pedagogical approach blending academic theory with real-world business challenges.


A major milestone, as the Conférence des Grandes Écoles granted accreditation to DSTI's MSc programs, affirming their academic quality and professional relevance.
Formal establishment of a dedicated research facility focused on industrial AI applications, strengthening ties between academic research and corporate innovation.
Consistently high employment rate achieved by a graduating cohort, underscoring the effective industry alignment and career support of the school.
Recognized for excellence in integrating Microsoft Azure technologies and certifications into its curriculum, preparing students for key cloud roles.
Independent surveys placed DSTI graduates at the top for average starting salaries among data science MSc programs, reflecting the high industry valuation of its training.
Innovation at DSTI is driven through its applied research labs and dedicated student project incubator. Focus areas include Artificial Intelligence ethics and applications, Big Data infrastructure, IoT systems, and FinTech solutions. Students and faculty collaborate on proprietary and partnered R&D projects, often publishing findings and developing prototypes that address concrete business problems, thereby contributing directly to technological advancement.
A high-frequency trading anomaly detection system developed as a capstone project, later refined into a commercial solution used by a partner financial services firm to prevent fraud.
A set of algorithms and best practices developed to reduce the computational carbon footprint of large machine learning models, focusing on energy-efficient training and deployment.
An internal tool that analyzes market trends and individual student skills to suggest personalized learning modules and career trajectories, improving course selection and job alignment.
A software innovation that creates high-quality, non-sensitive synthetic datasets from real proprietary data, enabling collaborative research and algorithm training without privacy breaches.

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