
Applied MSc in Data Engineering for Artificial Intelligence
DURATION
2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Mar 2025
TUITION FEES
EUR 17,850
STUDY FORMAT
Blended
Introduction
Master the intricacies of AI with DSTI's Applied MSc in Data Engineering for AI. Embark on a 2-year full-time course or opt for an apprenticeship, accelerated, or SPOC modes. 95% of our students secure internships within six months. 100% English-taught curriculum in our Paris, Nice Sophia Antipolis campuses or online. Get started today.
Features
- 120 ECTS
- Language: 100% English
- 6-month internship
Study Modes
- Full-Time (2 years)
- Apprenticeship (2 years)
- Accelerated (9 + 6 months)
- SPOC (15 to 30 months)
Programme Features
- 77% of International Students
- 24-34 Years of average age range
- 7+ Hands-on projects
- 3 International Certifications preparation
Accreditations
RNCP 7:
The RNCP is the national repository for professional certification. So, a course with RNCP certification is valid all across the world.
3IA Cote d’Azur Label:
It recognizes that the yearly program includes more than 50% of AI content and offers access to an internship and business engagement network.
Qualiopi RNQ (National Quality Reference System):
Qualiopi is a quality certification brand to attests to the quality of the services provided through professional training, skills assessments, etc.
Resources for Applied MSc in Data Engineering for Artificial Intelligence
AWS Educate
AWS Educate, an initiative by Amazon Web Services (AWS), equips students and educators with valuable resources, training materials, and hands-on experience to foster the development of cloud computing skills and facilitate career readiness in the industry.
Azure for Education
Azure for Education provides students with Microsoft software, developer tools, and cloud resources for learning and projects, including a $100 voucher.
Adaltas "Cluster Access"
Leveraging Hadoop and Spark for large-scale data processing, this cloud cluster operates at an enterprise-grade level, providing round-the-clock availability.
O’Reilly
O'Reilly is a platform offering quality content for effective study. It features over 60,000 books, 30,000 hours of video, live events, and interactive labs covering cloud computing, software architecture, programming languages, machine learning, and more.
Moodle Access
Moodle offers students comprehensive access to their studies: notifications, schedules, courses, exams, live sessions, lecture recordings, and project submissions.
Support 5/7 "Zendesk"
A resource that allows students to ask questions or seek assistance with academic, career, or administrative tasks. Students can also revisit the answers whenever necessary.
Alumni email account, Microsoft Windows and Office 365 Licenses
All DSTI students enjoy lifelong alumni email access and are given Microsoft Windows and Office 365 licenses.
Program Outcome
Objectives of Applied MSc in Data Analytics
The following are the major objectives of the Applied MSc in Applied Data Analytics program:
- Develop Analytical Skills.
- This program aims to build a strong analytical mindset for clear, science-based decision-making.
- Master Business Intelligence and Data Visualisation Software.
- Gain mastery in leading data software through industry certifications.
- Acquire Database Skills.
- Boost your data analyst profile with unique skills in various database technologies.
- Learn Machine Learning.
- Gain proficiency in machine learning for predictive analysis, with practical applications.
- Understand IT and Software Management.
- Improve understanding of IT Project Management and ethical aspects of big data handling.
Career Opportunities
Future MSc students specializing 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 stipend of at least EUR 1000.
- 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 Applied 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 Applied 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
Gallery
Curriculum
The curriculum of Applied 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 Applied 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 Applied 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 Applied 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
- Online
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
- Online (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
- Online
Self-Paced Online Course (SPOC) (15 to 36 months)
SPOC 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.
Admissions
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.