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The Graduate Program in Digital Construction prepares professionals to lead the technological transformation in the Architecture, Engineering, Construction, and Operations sector of the built environment.
In a rapidly evolving sector, marked by the transition to Building Information Modeling (Council of Ministers Resolution No. 89/2026) and the need for greater efficiency, collaboration, and decarbonization (EU Directive on the energy performance of buildings), this graduate program equips participants to design, implement, and manage innovative solutions.
The Graduate Program in Digital Construction offers specialized training that combines technical knowledge, strategic vision, and practical application to prepare professionals capable of integrating digital tools into design, construction, and operations, optimizing processes, and driving innovation within their organizations.
Throughout the program, participants engage with methodologies, technologies, and practical case studies, exploring topics ranging from modeling and information management to process automation and tool development using AI, environmental performance analysis, and new approaches to construction management, guided by experienced faculty from both academia and industry.
More than just keeping pace with technological advancements, this program prepares professionals to drive change in the construction sector.
2026/2027
The graduate program is offered in an evening format, primarily in a hybrid format, combining in-person sessions at Iscte’s Sintra Campus with distance learning (DL).
The pedagogical structure of each course unit includes:
Synchronous sessions take place after work hours, starting at 6:00 p.m., with an estimated weekly workload of 2 to 6 hours, distributed across 2 to 3 course units simultaneously.
The course’s hybrid format offers greater flexibility, allowing students to balance their studies with their professional and personal lives. The faculty, composed of experts in the field, ensures dynamic learning aligned with industry best practices.
| Unidades curriculares | Semester | ECTS |
|---|---|---|
| Collaboration and Information Management | 1 | 6.0 |
| Construction Software Development | 1 | 6.0 |
| Interoperability and OpenBIM | 1 | 6.0 |
| Scripting and Parametric Design | 1 | 6.0 |
| Digital Tools for Construction Management and Modular Construction | 2 | 6.0 |
| Digital Tools for Sustainable Construction | 2 | 6.0 |
| Digital Transformation Management | 2 | 6.0 |
| Disruptive Technologies for Construction | 2 | 6.0 |
Recommended elective
2026/2027
The program prepares professionals for the emerging needs of an industry undergoing rapid digital transformation. Graduates are well-positioned to take on both established, high-demand roles and emerging roles that incorporate technological innovation, sustainability, and the use of artificial intelligence as key differentiators.
Additionally, graduates may pursue a specialized master’s degree (currently pending approval by A3ES), consolidating and deepening their knowledge in specific areas of interest.
Established Conventional Roles
Emerging roles
Sectors of activity: Construction companies, architecture and engineering firms, consulting firms, technology companies specializing in construction, public administrations, and startups in the sector.
| Round | Start Date | End Date | Vacancies | Application fee | candidacy.reservation_fee.simple |
|---|---|---|---|---|---|
| 5th round | PG | 2026-05-14 09:30 | 2026-06-24 17:00 | 70.00 € | 500.00 € | |
| 6th round | PG | 2026-06-25 09:30 | 2026-08-26 17:00 | 70.00 € | 500.00 € |
This postgraduate program is designed for professionals with advanced degrees in the fields of Construction and Engineering, specifically:
The program is particularly relevant both for professionals in career transition who wish to integrate digital skills and for experienced professionals seeking to deepen their knowledge in digital construction, BIM, artificial intelligence, and sustainability.
Prerequisites
It is recommended that candidates possess:
Selection and Evaluation
The evaluation process will consider: academic background, relevant professional experience (if applicable), and motivation to learn in the context of digital transformation.