Applied MSc in Data Engineering for Artificial Intelligence
Paris, France
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
26 Sep 2026
EARLIEST START DATE
Oct 2026
STUDY FORMAT
On-Campus, Blended, Distance Learning
Key Summary
About: The DSTI Applied MSc in Data Engineering for Artificial Intelligence teaches designing and operating data infrastructures, ETL, scalable cloud systems and AI-ready datasets. It's taught in English at campuses in Paris and Nice Sophia Antipolis, also offered full-time, apprenticeship (France only) and online. It awards 120 ECTS over 2 years; October and March intakes; livestreamed.
Career Outcomes: Graduates work as Data Engineer, Machine Learning Engineer, Cloud Solutions Architect, Data Warehouse Developer, System Administrator. It reports 95% internship offers within six months, 75% placements in Europe, €1,000+ stipends and €49K average starting salary; employers include Google, Capgemini and EDF.
DSTI MSc in Data Engineering for Artificial Intelligence master’s level programme addresses the growing market demand for professionals skilled in organising data storage and pipelines, as well as implementing AI algorithms. As organisations move beyond the initial ‘all data science’ trend, they recognise the necessity of efficiently managing diverse data types and volumes, from small tabular datasets to large unstructured data.
Data Engineering is a specialised branch of computer engineering that encompasses all these activities our programme equips you with:
- Designing and operating IT architectures, including cloud computing.
- Designing, developing and managing data storage solutions.
- Designing, implementing and operating data pipelines between systems.
- Handling various data forms and volumes.
- Employing software engineering practices across multiple programming languages.
- Utilising modern DevOps methodologies and CI/CD integration throughout the development lifecycle.
To effectively implement AI, one must understand the applied mathematics that underpin artificial intelligence – a core focus of AI Engineering. DSTI’s MSc in Data Engineering for AI uniquely combines data engineering skills with the science and applications of machine learning, providing a comprehensive pathway to becoming an Artificial Intelligence Engineer.
Apply now to accelerate your career and embark on the path to becoming an Artificial Intelligence Engineer.
Features
- 120 ECTS
- Duration: 2 years
- Intake: Autumn (October) & Spring (March)
Campus
- Paris
- French Riviera - Nice Sophia Antipolis
- Live Streamed
Study Modes
- Full-Time mode
- Part-Time (apprenticeship) mode in France only
- Online
The programme is entirely taught in English
The curriculum of MSc in Data Engineering for AI
Warmup Courses – (75 Hrs) – 6 ECTS
- Fundamental applied mathematics (10hrs)
- Data structure and applied Machine Learning using Python & R (20hrs)
- Introductions to:
- Data Management (5hrs)
- AI Awareness (5hrs)
- Computer Architecture (5hrs)
- Networking (5hrs)
- Computer Systems Labs (10hrs)
- Clean IT (10 hrs)
- Excel Basics (5hrs)
Distributed & Performance IT – 200 Hours / 25 ECTS
- Cloud Computing - Amazon AWS “Cloud-Computing DSTI Chair” (50hrs) - 4 ECTS
- Cloud Computing – Microsoft Azure (25hrs) - 3 ECTS
- Semantic Web technologies for Data Science developments (25hrs) - 4 ECTS
- Software Engineering Part 1 & 2 (50hrs) - 6 ECTS
- Python Machine Learning Labs (25hrs) - 4 ECTS
- Web Engineering (25hrs) - 4 ECTS
Data Management – 180 Hours / 25 ECTS
- Data Wrangling with SQL (25hrs) - 3 ECTS
- Data warehousing & ETL (25hrs) - 4 ECTS
- Graph Databases – NoSQL – Part 1 (25hrs) - 4 ECTS
- Document Databases – NoSQL (5hrs) - 2 ECTS
- Big Data Ecosystem by Adaltas (50hrs) - 4 ECTS
- Data Pipeline Part 1 & 2 (50hrs) - 8 ECTS
Operational Methodologies - 150 Hours / 16 ECTS
- Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25hrs) - 2 ECTS
- IT Project Management – PMP-PMI and Agile Approaches (25hrs) - 2 ECTS
- CRM Data Management (25hrs) - 4 ECTS
- DevOps by Adaltas (50hrs) - 4 ECTS
- Cybersecurity (25hrs) - 4 ECTS
Data Science – 125 Hours / 18 ECTS
- Applied Mathematics for Data Science (25hrs) - 3 ECTS
- Foundations of Statistical Analysis & Machine Learning Part 1 (25hrs) - 3 ECTS
- Big Data Processing with R (25hrs) - 4 ECTS
- Artificial Neural Networks (25hrs) - 4 ECTS
- Deep Learning (25hrs) - 4 ECTS
50 Hours of Support Sessions
- 6-month mandatory internship – 30 ECTS
Technologies in MSc in Data Engineering for AI
- Amazon AWS
- Microsoft Azure
- Docker
- Hadoop
- Spark
- Microsoft SQL Server
- Python
- MongoDB
- Neo4j
- R
- C++
- Java
- Data Pipeline
- Web Semantics
- Nagios, Consul, Ansible, GitHub, etc.
Program Structure
The MSc in Data Engineering for AI program bestows 120 ECTS. It encompasses 780 hours of instruction, equivalent to 90 ECTS, including a 75-hour DSTI Warm Up for technical proficiency and an additional 50 hours of support sessions. Following the coursework, a 6-month internship, valued at 30 ECTS, offers practical data engineering experience.
Study Modes
DSTI offers the MSc in Data Engineering for AI in two modes: Initial Education and Continuous Education.
Initial Education
Initial Education is designed for students under 30 transitioning from school or university, preparing them to become proficient data professionals. Choose between two options: Full-Time or Part-Time (Apprenticeship).
Full-Time Mode
For beginners in Data Engineering, we suggest the 2-year Full-time mode with options for two data-related internships, the second being mandatory.
- Warm-up: 3 Weeks
- Year 1 Courses + 4 to 6-month optional internship
- Year 2 courses + 6-month mandatory internship
- Paris and Nice Sophia Antipolis
- Live streamed
Part-Time (Apprenticeship) Mode
The apprenticeship mode combines part-time work and study, open only to EU students or those with a long-term visa in France. Read details before applying.
- 2 weeks of study and 2 weeks of work at a company
- For less than 30 years old students
- 2 years
- Paris and Nice Sophia Antipolis
- Live streamed (within France)
Continuing Education
For professionals typically 30 or older, Continuing Education balances career growth and work commitments. It's perfect for those with relevant experience or tech education, allowing flexible completion of the Applied MSc in Data Engineering for AI on-campus or online.
Accelerated (9 + 6 months)
In Accelerated Learning, students finish coursework in about 9 months, and then undertake a 6-month internship or job in the data field, reducing time to market.
- Warm-up: 3 Weeks
- 9 months of course-work
- 6-month mandatory internship
- Paris and Nice Sophia Antipolis
- Live streamed
Online (15 to 36 months)
Online is ideal for students balancing studies with regular jobs. Coursework, completed between 15-36 months through recorded lectures, can be supplemented with live online sessions if available. The course duration is flexible to the student's needs.
- 3 milestones for self-study
- 6-month mandatory internship
- 15 to 36 months
- Asynchronous
- Online upon request and mutual availability
Blended Learning – Part-Time Sandwich
DSTI provides a 'Part-time Sandwich' or 'Contrat de Professionnalisation'. This option is perfect for those aged 30 and above, French speakers, and individuals who are EU/EEA citizens or long-stay visa holders in France.
Objectives of MSc in Data Engineering for Artificial Intelligence
The following are the major objectives of the MSc in Data Engineering for AI programme:
- Master IT and Big Data Architecture. Acquire detailed knowledge and skills for creating and monitoring IT and Big Data infrastructures.
- Embrace DevOps Methodologies. Explore DevOps and establish continuous integration frameworks to enhance your software creation and roll-out process.
- Harness Machine and Deep Learning. Learn key programming languages and libraries for applied machine and deep learning, honing abilities to construct and roll out complex models for practical applications.
- Architect Highly Distributed Data and Computation Clusters. Enhance your abilities to create and manage highly distributed data and computation clusters like Hadoop or Spark, enabling efficient and effective large-scale data handling.
Future MSc students specialising in Data Engineering for AI can unlock incredible career prospects. The thriving demand for talented Data Engineers in Europe is clear, as almost every student receives internship offers within six months, offering a monthly gratification of around 1,200€ on average.
- 95% of Students get an internship offer within 6 months
- 75% of students find internships in Europe
- EUR 1000+ average monthly stipend
- EUR 49K average starting salary
Our MSc in Data Engineering for AI students work as
- Data Engineer
- Senior Software Engineer
- System Administrator
- Machine Learning Engineer
- Cloud Solutions Architect
- Data Warehouse Developer
Employers of our MSc in Data Engineering for AI students
- Adaltas
- Africa Prudential
- Alvedoo
- Ambrator Games
- Axa France
- Baobab Circle
- Capgemini
- Cloudreach
- Content Square
- Dashlane
- Data Minded BV
- Datakhi
- DATASULTING
- EDF LAB Paris Saclay
- Enel
- FENYX Consult
- Foodwise
- Huawei Technologies Nigeria Ltd
- INETUM
- INFONOMICS TECHNOLOGY SERVICES LIMITED
- JSC
- Lixo
- Mercedes-Benz
- Pelico
- Statistisches Bundesamt Deutschland
- Sterling
- TTE World
- Volt
Browse real DSTI course content in guest access
Reference page
https://dsti.school/admissions-and-finances-msc/
Candidates must have completed a 3 or 4-year bachelor’s degree strictly in computer engineering (or science), IT/IS, Cyber Security, from a recognised university.
Academic Records
All students must submit their academic records plus either of the below options can also be completed or requested
Option 1: Standard admission test + Bachelor degree certificate
To uphold application quality, we value scores from standardised tests. For the GRE, aim for a minimum of 155 in the quantitative section and higher than 280 for an average total. For the GMAT, target a minimum score of 42, or over 560. This can be submitted in addition to your academic records to boost your application.
Option 2: Online DSTI Entry Exam
We may ask you to complete the DSTI Entry Exam in addition to submitting your academic records. The exam can be completed from home. All that’s needed is a computer and stable internet access. The exam comprises two sections: Mathematics and IT.
Proficiency in English
As all courses are delivered in English, students should possess at least a B2 level of English proficiency. DSTI will evaluate this during the Admission Interview.
To strengthen their application, students may provide their IELTS or TOEFL scores.
Our Unique Approach
Innovate in your learning journey
We want our students to thrive in a learning environment that blends sturdy theory with professional practice, preparing them for real-world challenges.
At DSTI, hands-on projects are at the heart of our approach, allowing students to apply their knowledge to solve practical problems and gain industry-ready skills.
Accessible Learning: Empower Your Growth
Our comprehensive hybrid (on-campus & online) learning platform is designed to ensure all your academic needs are easily accessible.
- Live lectures available online.
- Access to schedules, lecture transcripts, and all course materials.
- The ability to replay past lectures, ensuring no detail is missed.
- An integrated system for exam and assignment submissions.
- Students support available 5/7
This flexible and resource-rich system empowers them to take control of their education.
Combined with the Direction of Studies team that provides personalised support,
guiding students through their academic journey and career development, our approach ensures that every student is equipped with the skills, experience, and confidence needed to succeed in today’s rapidly evolving tech landscape.
Our Faculty: Experts with Global Insight
Our faculty are dedicated scientists & engineering, as well as celebrated educators and experienced mentors who bring a wealth of academic and industry expertise, a world above lists of programming packages & libraries. Their solid theoretical foundations are enriched by diverse international perspectives, ensuring that every session bridges theory with practical application.
Their commitment to sharing real-world insights equips students with the skills needed to excel both in the classroom and beyond.
DSTI operates daily as a global school
Each study mode, regardless of the pace or delivery method, ensures the same rigorous coursework, assessments, and recognition of degree upon successful completion. At DSTI, we have always ensured that flexibility does not compromise the quality of your education. Embrace the future of computer & data engineer, data science and AI & cyber security with DSTI’s diverse study modes.
In all these modes, students have the freedom to engage in live classes from our two campuses in Nice Sophia-Antipolis(French Riviera) & Paris, or Live streamed, live from anywhere with a compatible time zone.
Our faculty teaches from a specific campus, and students participate from wherever their circumstances permit. This way, we ensure that our diverse study modes not only provide flexible learning opportunities but also a truly international educational experience.
French Riviera Campus
Paris Campus
Programmes Live streamed
