DSTI Executive MSc in Artificial Intelligence is a 120 ECTS master’s programme for experienced professionals, featuring 500 hours of classes and practical in Data Science and AI, Data Engineering & Analytics and Cyber Security. It includes a 4 to 6-month professional placement, providing reinforcing applied skills exposure. Graduates also earn industry-recognised external professional certifications, preparing them for advanced roles in technical management of AI across various sectors.
DSTI Executive MSc programme is unique in its richness, depth and volume of scientific foundations and technological know-how without ever missing on the bigger organisational picture. With hundreds of Executive Alumni, DSTI has one of the greatest credentials in upskilling right-now team leaders and future decision-makers.
DSTI Executive MSc in Artificial Intelligence is a 120 ECTS master’s programme for experienced professionals, featuring 500 hours of classes and practical in Data Science and AI, Data Engineering & Analytics and Cyber Security. It includes a 4 to 6-month professional placement, reinforcing applied skills exposure. Graduates also earn industry-recognised external professional certifications, preparing them for advanced roles in technical management of AI across various sectors.
DSTI Executive MSc programme is unique in its richness, depth and volume of scientific foundations and technological know-how without ever missing on the bigger organisational picture. With hundreds of Executive Alumni, DSTI has one of the greatest credentials in upskilling right-now team leaders and future decision-makers.
We are accepting applications for the Spring 2025 intake
Application Deadline for international students: 1 February 2025
Application Deadline for EU students: 21 March 2025
Induction Day: 28 March 2025
Class start date: 31 March 2025
As a front-runner in data and AI in France, DSTI offers an Bachelor programme at RNCP 6. Our Applied MSc programmes hold RNCP 7 accreditation. Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming the quality of our processes. Our Qualiopi certificate is downloadable by clicking on this link.
DSTI Executive MSc in Artificial Intelligence awards 120 ECTS. This includes 500 hours of classes (90 ECTS) covering comprehensive subjects across four teaching units specifically tailored for experienced professionals looking to enter the field of AI. The programme also features seminars, an AI Awareness day, and induction sessions. Finally, a professional experience (30 ECTS) lasting 4 to 6 months provides hands-on exposure to AI practices in a real-world setting.
30-35
Years of average age range
70%
of International Students
4+
Hands-on projects
4
Professional Certifications Exams preparation
DSTI offers its Executive MSc in Artificial Intelligence to professionals for their continuing and lifelong education, already master’s level graduated and with 4 to 5 years of professional experience.
The programme is accessible in two modes:
For those of you taking a break from work and go back to school!
A compact and demanding schedule for accelerating your career progression.
On Campus or Online live.
SPOC is ideal for students balancing studies with regular jobs.
Studies through recorded lectures, and can be supplemented with live online sessions if available.
The course duration is flexible to the students’ needs.
The Executive MSc in Artificial Intelligence consists of 500 hours of classes and practical across four core teaching units (TUs).
The Data Science Teaching Unit the Executive MSc in AI programme forms the grounds for a solid understanding of the two branches of AI: statistical and connectionist (neural networks), supplements them with symbolic AI for hybrid systems, all by providing ample theory and applications.
This course covers the basic notions of Applied Mathematics required to study optimisation and then data science: calculus, linear algebra and complex numbers.
A course that introduces the fundamentals of descriptive statistics, probability theory, and their applications using R programming language for data analysis.
This course delves into the fundamental concepts of Perceptron’s layers, weights, biases, and hyperparameters, along with activation and cost functions, optimisation algorithms, and backpropagation. Students will learn the learning mechanism of Perceptron, its applications in classification and regression, and how to implement them in Python using TensorFlow.
This course provides an overview of data structures, cleaning and preparation techniques, Pandas, Matplotlib, Scikit-learn, OpenCV, Python and Flask, Keras, and Numpy for developing data-driven applications.
A course that provides an introduction to semantics in data, covering RDF and SPARQL for representing and querying web-rich data, RDFS and ontologies, and tracing data history using VOiD, DCAT, and PROV-O.
The Data Engineering Teaching Unit the Executive MSc in AI programme provides all the experience on technologies and operational methodologies to endeavour a global understanding of data banks, flows and exchange in and between information systems.
Global approach to modelling – Design-independent analysis methodology and model – Formal and semi-algorithmic data model design methods.
Best practices for project management, being in waterfall cycle, agility or just-in-time. Study of PMBOK (Project Management Body Of Knowledge) and Agile (Scrum) approaches
A course that covers the fundamentals of relational databases, advanced SQL queries, stored procedures, triggers using T-SQL, dynamic SQL, and their applications with Microsoft SQL Server for data wrangling and manipulation.
A course that provides preparation for the Neo4j certification, covers graph-based problem modelling, and implementation with the Neo4j graph database for NoSQL data management.
A course that covers XML data flow, DTD and schemas, XSL transformations, JSON, and their transformations, and how to build efficient and scalable data pipelines.
The Cyber Security and Cloud Engineering Teaching Unit the Executive MSc in AI programme covers a unique level of expertise as well as a global vision of the necessary IT infrastructure and its security for running artificial intelligence powered information systems.
Introduction to the AWS cloud environment and services as well as preparation for the AWS Certified Solutions Architect Associate certification.
Geopolitics of cybersecurity, range of cyber threats.
International communication networks and security.
Cyber security stakes of critical national infrastructures, operations and processes.
Critical infrastructures Research centres and critical corporates.
Media, social networks religious organisations and polling organisations.
Official and critical voting systems.
A course that covers topics such as system security design patterns, infrastructure security, data at rest and in-transit encryption, and code safety to provide a comprehensive understanding of how to protect computer systems and networks from cyber threats.
This course covers the fundamentals of data engineering, focusing on Apache Spark, Kafka, and modern data platform components. It also introduces the Lambda and Kappa architectures and the concept of “anything as code,” including Infrastructure as Code and modern CI/CD practices.
The Data Analytics Teaching Unit the Executive MSc in AI programme offers the decision-making support component, at an incredible level of know-how, crossing methodologies, techniques, technologies, compliance and a wide coverage of application domains.
A course that covers advanced Excel formulas, data visualisation techniques, PowerPivot, Solver, and Visual Basic for Application programming, and their applications for data analytics and machine learning.
A course that covers the preparation for the analysing Data with Microsoft BI (PL-300) certification and its applications in reporting and data visualisation.
Explore real-world applications of data analytics, using different tools and technologies, across the five principal analytics use-cases: customer knowledge, finance, industry, risk and web.
A course that covers the preparation for the Microsoft Power Platform Functional Consultant (PL-200) certification, and its applications in Customer Relationship Management (CRM) data management.
The course covers the principles and frameworks of data privacy and security, including EU & USA regulations, GDPR, Safe Harbour & Successors, and the differences between common law and code law.
After completing the coursework, students will be required to demonstrate a professional experience lasting between 4 to 6 months. This could take the form of an internship, employment, or contracting, as long as the standard DSTI evaluation procedures are met. This practical phase enables students to apply their learning in a working environment.
Our curriculum enables students to prepare for many external professional certifications. One of which is necessary to graduate (Neo4J Certified Professional). One other certificate is highly recommended for employability but not mandatory for graduation.
Following are part of the faculty for Executive MSc in Artificial Intelligence .
Professor
Hanna Abi Akl is a scientist, author, and researcher in language, logic, and artificial intelligence, with expertise in language structure, understanding and generation, as well as symbolic and graph-based knowledge retrieval methods in AI. He currently serves as an NLP Researcher and Professor at DSTI School of Engineering.
Professor
Fabien Massol, Head of Business Development Security at Amadeus IT Group, possesses a wealth of experience and expertise in the field of security and Project Management.
Professor, Co-president of the Scientific Board
Fabien Gandon, a Research Director at INRIA and I3S Sophia Antipolis in France, specialises in Semantic Web, Ontologies, Knowledge Engineering and Modelling, Corporate Memories, and other areas in the field of informatics and computer science.
AWS Academy, from which DSTI was one of the first French institutions to be accepted, provides higher education institutions with a ready-to-teach cloud computing curriculum that prepares students to pursue industry-recognised certifications and in-demand cloud jobs. AWS Academy curriculum helps educators stay at the forefront of AWS Cloud innovation so that they can equip students with the skills they need to get hired in one of the fastest-growing industries.
Again, as one of the first French institution members of the Microsoft Learn for Educators (MSLE), DSTI faculty can easily integrate AI Skills, technical skills, and industry-trusted and verified credentials into their curriculum to set students up for real-world success.
Azure for Education offers students access to an impressive library of fully licensed Microsoft software, developer tools, and cloud resources, including a yearly $100 voucher. These resources are vital for learning and completing AI-related projects, leveraging the Microsoft cloud ecosystem.
O’Reilly is a comprehensive platform providing over 60,000 books, 30,000 hours of video, live events, and interactive labs on topics like cloud computing, software development, AI, and machine learning. It offers students extensive learning resources to deepen their knowledge in AI and related fields.
Students gain access to our partner Adaltas cloud-based cluster, which leverages Hadoop and Spark for processing large-scale data sets. This enterprise-grade cluster provides 24/7 availability, allowing students to experience real-world big data environments.
All students enrolled in the programme receive access to a SAS license. This software suite is essential for advanced analytics, business intelligence, and data management tasks, providing students with tools relevant to AI-based decision-making.
Through DSTI Learn, based on the latest Moodle LMS core, students can access their study materials, including notifications, course schedules, exams, live sessions, recorded lectures, and assignment submissions. This platform ensures students remain connected with their coursework anytime, anywhere.
DSTI offers a support system through Zendesk, allowing students to seek help for academic, career, or administrative queries. Students can also revisit past responses, ensuring continuous support throughout their studies.
DSTI students are provided with lifelong access to an alumni email account, along with Microsoft Windows and Office 365 licenses, enabling them to stay connected and use essential software for professional and personal use.
The Executive MSc in Artificial Intelligence at DSTI is designed for experienced professionals looking to transition into high-level AI leadership roles. Graduates of this programme are well equipped to manage AI-driven projects, oversee teams, and integrate AI strategies into their organisations. This Executive MSc positions students for career advancement in all sectors.
97%
get a new job within 6 months.
20 to 30%
increase from their previous wages 18 months post-graduation.
100%
get management duties 18 to 24 months post-graduation.
70%
work in Europe.
Admissions to the Executive MSc in Artificial Intelligence are open to experienced professionals looking to advance their careers in AI leadership roles, with a focus on both technical expertise and strategic oversight.
To qualify for the Executive MSc in Artificial Intelligence, applicants must meet the following conditions:
Candidates must hold a Master’s degree (or equivalent) from a recognised institution. While there are no specific field restrictions, applicants generally come from backgrounds in science, technology, or social sciences/humanities. Those from social sciences/humanities should have some exposure to scientific methods, particularly in the use of statistics, in fields such as (but not limited to) economics, finance, sociology, linguistics, and related areas.
Applicants should have 4 to 5 years of professional experience, ideally in roles related or connected to science and/or technology. Applicants with managerial (including junior management) positions are particularly sought after.
DSTI offers two methods for prospective students to showcase their academic qualifications. While applicants are required to submit only one type of academic record from the options provided, presenting evidence of additional qualifications from the list below may improve their chances of being admitted. In any case, proof of a Master’s degree is mandatory.
To maintain the high standards of our application process, we place importance on scores from standardised tests. For the GRE, candidates should aim for a minimum score of 155 in the quantitative section with a total score near 300. For the GMAT, a minimum score of 42 is expected, with an overall score above 600.
If the above criteria cannot be met, applicants may opt to take the online DSTI Entry Exam from home. All that is required is a computer and a stable internet connection. The exam consists of two sections: Mathematics and IT.
Since the programme is taught entirely in English, students must have a B2 level of proficiency in English. This will be assessed during the admissions interview. Additionally, applicants may submit scores from recognised English proficiency tests such as IELTS or TOEFL to strengthen their application.
Students at DSTI should have a Windows PC laptop, with these minimum specs:
At least Intel Core i5 (or AMD equivalent)
8GB as the absolute minimum, but 16GB highly recommended.
Minimum 512GB, 1TB recommended. SSD required.
NVIDIA preferred, but not essential.
Your PC must be able to run the main latest Windows version (currently: Windows 11).
DSTI will provide a Windows Education (eq. to Enterprise edition) key when classes start.
Don’t purchase MS Office 365: DSTI will provide a full product license when classes start.
The admission process at the DSTI School of Engineering is a thorough and structured procedure, ensuring that all qualified candidates have the opportunity to apply for this programme.
Begin by exploring our Executive MSc and other available programmes to find the one that aligns with your career goals. Book an online information meeting with our admissions team for advice on the curriculum and to discuss tuition fees.
The application process is completed online. You will be required to submit key documents such as your ID, CV, and a cover letter, which will be used to assess your eligibility.
After an initial review of your application, DSTI will invite eligible applicants to submit additional documents. You may provide the required documents under one of the following options:
Option 1: Standardised test scores and degree certificate
Option 2: DSTI Online Entry Exam and degree certificate
Candidates who progress further will be invited to a 20-minute interview to assess their fit for the programme, confirm their motivation, and evaluate their proficiency in English.
Once your application has been reviewed, you will receive an official admission decision via email. For more details on the process, please consult our comprehensive admission guidelines.
DSTI – School of Engineering
Private Higher Education Institution
As a front-runner in data and AI in France, DSTI offers an Applied Bachelor at RNCP 6. Our Applied MSc hold RNCP 7 accreditation. Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming quality of processes (download Qualiopi certificate).
DSTI School of Engineering has formed strategic partnerships and affiliations with a number of key organisations, including the likes of AWS, SAS, Microsoft, Arts et Métiers, and 3IA Côte d’Azur. These partnerships are vital because they help keep our syllabus current and our resources updated. With these partners, we are better equipped to support our students as they advance their careers in data.
950 Route des Colles
Les Templiers
06410 Biot (Sophia Antipolis)
Alpes-Maritimes, France
4 Rue de la Collégiale
75005 Paris
Île-de-France, France
+33 (0) 489 412 944
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At DSTI, we provide one-on-one online meetings with prospective students. Here we answer all their questions regarding our Applied Bachelors and Applied MSc courses.
At DSTI, we organize online group meetings where we share valuable information about our selection of Applied Bachelors and Applied MSc courses in data and AI.
DSTI organizes online group meetings to provide information about our range of Applied Bachelor and Applied MSc programs in data and AI.
Every Wednesday from 2PM to 6PM CEST, DSTI’s Paris Campus hosts an open day for all, no appointment necessary. Inquiries regarding admission, courses or other related topics are welcomed. We are delighted to provide answers to your questions.
| Fees are valid for the Autumn 24 and Spring 25 intake. | Applied MSc in Data Analytics | Applied MSc in Data Engineering for Artificial Intelligence | Applied MSc in Data Science & Artificial Intelligence | Applied MSc in Cyber Security |
|---|---|---|---|---|
| Total Tuition Fees | 18,700€ | 18,700€ | 18,700€ | 25,000€ |
| Yearly Tuition Fees | 9,350€ | 9,350€ | 9,350€ | 12,500€ |
*No tuition fees for the students in apprenticeship mode.
| Fees are valid for the Autumn 24 and Spring 25 intake. | Executive MSc in Artificial Intelligence |
|---|---|
| Total Tuition Fees | 18,700€ |
Want a career in data and AI? Download the DSTI’ Applied MSc in Data Engineering for AI Curriculum to find out how!
