Executive Master in Digital Twins for Infrastructures and Cities

Faculty of Civil Engineering (ÉMK)

The Executive Master in Digital Twins for Infrastructures and Cities is a blended, professional degree co-funded by the EU that trains engineers and built-environment specialists to lead digital transformation in civil engineering and urban systems. It combines online live classes, three in-person workshop events in Madrid, Paris and Budapest, and real capstone projects mentored by industry partners. Participants gain practical skills in digital technologies, such as BIM, IoT, data analytics, and AI, to plan, design, implement and manage digital twins for complex infrastructures. Graduates receive a joint diploma from top European universities and benefit from networking with international experts.

Qualification Infrastructure and Urban System Information Technology Engineer MSc program

Language English

Start September

Admission requires availability for online classes and international workshops, a relevant STEM bachelor’s degree, and English proficiency at min. B2 level. Applicants must hold a 240ECTS BSc in engineering or architecture, or a 180ECTS degree with at least two years of professional experience in built env. Basic programming skills are expected. The process includes preselection based on documents and a short motivation video, followed by final admission after fee payment and a reference letter.

You can study at BME with a scholarship or as a self-funded student, by paying tuition fees. Various scholarships help you cover tuition fees and your living expenses during your studies. Successful PhD students may receive additional support from research grants.

Not available

Curriculum

The curriculum is delivered in two semesters. The first focuses on digital skills for Digital Twins, including BIM, GIS, programming, data science and AI. The second emphasizes applied Digital Twins, management, sectoral applications, onsite workshops, conferences, and a team-based capstone project.

Foundations

Digital Models and Networks for DT

Principles of BIM and GIS, GIS in digital twin cities, Advanced BIM, Network design for digital twins

12 credits
Programming and Software Development

Introduction to programming, Python programming, IoT and signal processing, Relational databases and SQL

12 credits
Data Science and AI for DT

Big Data technologies and applications for DT, Cloud computing and cybersecurity, Knowledge representation and semantic interoperability, Machine learning and data analysis

12 credits

Advanced Courses

DT for Transport and Mobility

Intelligent transport systems, Mobility data analysis, DT of railways and roads

6 credits
DT for Energy and Water Management

Optimization models for Hydropower Reservoir Optimization, DT for energy generation, DT for management of water resources

6 credits
DT for Urban Design and Building Management

Smart building management, Smart cities design, Structural sensing and monitoring

6 credits

Career options

The Executive Master in Digital Twins for Infrastructures and Cities provides strong labor market advantages by combining advanced digital skills with real industry needs. Graduates gain practical expertise in BIM, data analytics, AI, and digital twin management, which are increasingly demanded in infrastructure, construction, and urban development sectors. The program prepares participants for roles such as digital twin manager, innovation lead, or technical expert in engineering firms, public authorities, and technology companies. Industry-mentored projects, international workshops, and a joint diploma from leading European universities enhance employability, professional networks, and career progression in a rapidly evolving digital economy.

Contact form

I am a(n) (please select)*
First name*
Last name*
Email address*
Country of residence*
Parent university*
Intended level of study*
Intended year of entry*
Intended semester of entry*
Neptun code (if applicable)
Neptun code*
Name of agency*
Tell us about your interests
Reason for contact *
I need ...
Reason for contact *
I need ...
Reason for contact *
I need ...
Message

New discoveries await you