Applied MSc in Data Engineering for Artificial Intelligence

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon October 2026

Course Overview

The Applied MSc in Data Engineering for Artificial Intelligence at DSTI School of Engineering is crafted for aspiring professionals ready to tackle the complex demands of modern data infrastructure and AI implementation. As organisations increasingly rely on sophisticated data management and AI capabilities, this programme addresses the critical need for experts who can design, build, and maintain robust data pipelines and storage solutions. You will develop essential skills in cloud computing platforms like Amazon AWS and Microsoft Azure, alongside a deep understanding of software engineering principles and Python machine learning labs, preparing you to bridge the gap between raw data and actionable AI insights.

This intensive, full-time, on-campus Masters degree is delivered over two years, structured around key modules in Software Engineering & IT, Data Management, Operational Methodologies, and Data Science. You will gain hands-on experience with big data ecosystems, graph and document NoSQL databases, and data pipeline development. The curriculum integrates practical application through a significant 4-6 month integrated professional experience, allowing you to apply your learning in a real-world setting. You will graduate with the expertise to excel in roles such as Data Engineer or AI Engineer, equipped for diverse career paths in technology and data-driven industries.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program equips students with essential skills in software engineering, data management, and data science to excel in data engineering roles for artificial intelligence. You will explore cloud computing platforms like AWS and Azure, master data wrangling with SQL, and delve into big data ecosystems and data pipelines. The curriculum also covers operational methodologies including IT project management, DevOps, and cybersecurity, alongside foundational data science concepts such as machine learning and deep learning.

1 Warmup Courses - (75hrs) – 6 ECTS

2 Software Engineering & IT - (200hrs) – 25 ECTS

Cloud Computing - Amazon AWS Compulsory
Cloud Computing – Microsoft Azure Compulsory
Semantic Web Technologies Compulsory
Software Engineering Part 1 Compulsory
Software Engineering Part 2 Compulsory
Python Machine Learning Labs Compulsory
Web Engineering Compulsory

3 Data Management - (180hrs) – 23 ECTS

Data Wrangling with SQL Compulsory
Data Warehousing & ETL Compulsory
Graph Databases – NoSQL – Part 1 Compulsory
Document Databases – NoSQL – Part 2 Compulsory
Big Data Ecosystem by Adaltas Compulsory
Data Pipeline Part 1 Compulsory
Data Pipeline - Part 2 Compulsory

4 Operational Methodologies - (175hrs) – 18 ECTS

Data Laws & Regulations – Philosophies, Geopolitics & Ethics Compulsory
IT Project Management: Traditional and Agile Approaches Compulsory
CRM Data Management Compulsory
DevOps by Adaltas Compulsory
Fundamentals of Cyber Security Practices Compulsory
Analysis & Design of Information Systems Compulsory

5 Data Science - (125hrs) – 18 ECTS

Applied Mathematics for Data Science Compulsory
Foundations of Statistical Analysis & Machine Learning - Part 1 Compulsory
Big Data Processing with R Compulsory
Artificial Neural Networks Compulsory
Deep Learning Compulsory

6 Support Sessions (45hrs)

7 Integrated Professional Experience – 30 ECTS

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 16,469.00
Second Year Fee Tuition fee
USD 16,469.00
Total Program Cost Estimated total tuition
USD 32,938.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 518.00 - USD 677.00
Food & Groceries USD 3,509.00 - USD 5,613.00
Transport USD 1,053.00 - USD 1,316.00
Utilities & Bills USD 2,105.00 - USD 2,807.00
Estimated Total USD 6,667.00 - USD 9,473.00

Living cost estimates are based on Paris Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Artificial Intelligence & Machine LearningAutomation & RoboticsCloud Computing & InfrastructureCybersecurityEnergy Equipment & ServicesFintech & Mobile MoneyProduct Management & UXRenewable Energy (Solar & Wind)Research & Product DevelopmentRoad Transport & Logistics

Top Employers Hiring for this course

Capgemini

Schneider Electric

Why Study Applied MSc in Data Engineering for Artificial Intelligence at DSTI School of Engineering

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Life at DSTI School of Engineering in France

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Applied MSc in Data Engineering for Artificial Intelligence at DSTI School of Engineering

Can I work while studying?

International students can work up to 964 hours per year in France without a separate work permit, which equals about 19 hours per week.

What jobs can I get after studying this course?

Data Engineer, AI Engineer, Cloud Architect, Data Analyst, Software Developer.

What will I actually study in this course?

This master's program focuses on data storage, data pipelines, and efficiently managing diverse data types and volumes. It equips students with skills in cloud computing and software engineering practices.

When can I start — what are the intake months?

The Applied MSc in Data Engineering for Artificial Intelligence has two intake months: March and October. Students can apply during these periods to join the program.
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