# Degree structure

**Source**: https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/degree-structure
**Parent**: https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems

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  - [Master Artificial Intelligence and Engineering Systems](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems)

    - [Degree structure](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/degree-structure)
    - [Track overview](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/track-overview)
    - [Admission and enrollment](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/admission-and-enrollment)
    - [Pre-master](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/pre-master)
    - [Study in Numbers](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/study-in-numbers)
    - [After graduation](https://www.tue.nl/en/education/graduate-school/master-artificial-intelligence-and-engineering-systems/after-graduation)
    - [International students](https://www.tue.nl/en/education/become-a-tue-student)

The NVAO accredited master program AI&ES in 2021 as a unique program that responds to the industrial, societal, and academic needs to apply AI to solve engineering problems in an integral way. Students follow an exciting, high-quality program based on TU/e’s strong educational and research programs.

### Program structure

The AI&ES master's program consists of 120 EC (European Credits) spread over two years, designed to balance theoretical learning and practical application.

|  |  |
| --- | --- |
| Year | 1st |
| Components | Core program |
| ECTS | 30 |

|  |  |
| --- | --- |
| Year | 1st & 2nd |
| Components | Specialization Elective Program |
| ECTS | 15 |

|  |  |
| --- | --- |
| Year | 1st |
| Components | Team Internship |
| ECTS | 10 |

|  |  |
| --- | --- |
| Year | 1st & 2nd |
| Components | Free Electives Program (Courses & Internship) |
| ECTS | 15 |

|  |  |
| --- | --- |
| Year | 2nd |
| Components | Graduation project |
| ECTS | 45 |

| Year | Components | ECTS |
| --- | --- | --- |
| 1st | Core program | 30 |
| 1st & 2nd | Specialization Elective Program | 15 |
| 1st | Team Internship | 10 |
| 1st & 2nd | Free Electives Program (Courses & Internship) | 15 |
| 2nd | Graduation project | 45 |

## Core Courses

Students gain a **solid foundation in AI and engineering systems**, covering:

1. Data science and Learning in AI: Data Analysis and Learning Methods
2. Human-AI interaction and ethics: Human and Ethical Aspects of AI
3. Programming: Software Engineering for AI
4. Mathematics: Stochastic Processes, Filtering and Estimation
5. Optimization: Engineering Optimization
6. Engineering Systems: Physical and Data-Driven Modelling course and Control principles for Linear Systems course.

## Free elective courses

Customize your degree with courses in AI, engineering, entrepreneurship, or interdisciplinary topics in consultation with the track mentor.

## Team Internship

Work on a **real-world challenge** in a small interdisciplinary team, integrating AI with engineering for an innovative solution.\
 Examples of challenges:

- AI for Autonomous Farming
- Machine Vision Inspection of Wind Turbines
- Personalized Driver Feedback
- Soft Robotics
- Perception System Development and Deployment for Automated Driving
- Image-guided therapy challenge
- AI-based digital twins for solar energy systems in urban areas
- Data-driven reduced order modelling for non-Newtonian fluids mechanics
- Development of an autonomous thermal control system for clean rooms using integrated machine learning
- Teaching robots how to learn
- Analyse and predict output of 15 (similar) heat ovens and production in rooftile factory in Teteringen
- Analyse parameters influencing quality rejects of cheese production line

## International Experience

You have the possibility to follow courses abroad, the Electrical Engineering department has bilateral agreements with partner universities around the world. Spending some time abroad is a great way to immerse yourself in another culture, develop soft skills like (intercultural) communication, adaptability and problem-solving, and strengthen your position on the job market. Students may also follow a specialization course at another university if this gives a better match with their study plans.\
 Additionally you have the possibility to do your graduation project outside of the Netherlands.

## Graduation project

The [**Graduation project AI&ES**](https://tue.osiris-student.nl/#/onderwijscatalogus/extern/cursus?cursuscode=5ARG45&collegejaar=2025&taal=en) is an individual research project worth 45 ECTS credits on a topic related to artificial intelligence in the context of engineering systems. The graduation project can be carried out within all TU/e departments connected to the AI&ES master, within a company or another university or research institute in the Netherlands or abroad. The Graduation project is Track related, and during 8 months, you will further develop your expertise and skills.\
 \
 Some examples of the Graduation projects that students have conducted relevant for each Track within the AI&ES master:

- Multi-Agent System Planning for Risk-Aware Airport Ground Handling Using Deep Reinforcement Learning
- Disruption Management for Electric Buses
- Sensor Processing based on Oscillatory Neural Networks for Edge AI
- Towards explainable transformers for 3D medical image analysis
- Magical planning: optimizing power grids at the click of a button (with eRoots)
- Innovative AI techniques for managing crowd flows at F1 Races and Festivals
- Cracking the DNA Code of Materials
- Data Mining and Analytics at MSD Animal Health

## Curriculum

The [**Education guide AI&ES**](https://educationguide.tue.nl/programs/graduate-school/masters-programs/artificial-intelligence-engineering-systems) offers a complete overview on how the program is organized.

- [admission criteria and enrollment](https://www.tue.nl/en/education/become-a-tue-student/admission-and-enrollment/programtype/master-program/program/artificial-intelligence-and-engineering-systems)

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Freek Klabbers

## "I’m applying AI where it really matters"

- [Read more](https://www.tue.nl/en/education/student-stories-master/student-stories-master-artificial-intelligence-and-engineering-systems/freek-klabbers)