The Erasmus Mundus Joint Master in Economic Engineering is a two-year (120 ECTS), fully integrated international master’s programme delivered jointly by Yıldız Technical University (Türkiye), Centro Universitário Integrado (Brazil), and the University of Applied Sciences WSGE (Poland). The programme combines advanced quantitative methods, economic modelling, and applied analytical skills in an international academic environment.

The programme lasts two academic years (4 semesters). The maximum completion period is three academic years.

The programme is taught entirely in English.

Applicants must:

• Hold a recognised bachelor’s degree equivalent to at least 180 ECTS
• Demonstrate strong academic performance
• Meet the minimum English language requirement (CEFR B2 or equivalent)
• Submit all required application documents before the deadline

Applicants must submit:

• Online application form
• CV (preferably Europass format)
• Motivation letter (max. 1,000 words)
• Bachelor’s diploma and transcript
• Two reference letters
• English language certificate
• Passport/ID
• Additional achievements (if any)

Only complete applications are evaluated.

Selection is merit-based and conducted by a joint academic committee. Evaluation criteria include:

• Academic performance (GPA and core courses)
• Field suitability
• Institutional recognition
• Motivation and alignment with programme objectives
• Additional academic or professional achievements

Final ranking is determined during the joint selection meeting.

Yes. The programme offers Erasmus Mundus Joint Master (EMJM) scholarships. Scholarships include:

• Full tuition fee coverage
• Monthly living allowance (€1,400 for 24 months)
• Travel support

Scholarships are awarded based on merit and final ranking.

Yes. There are three student categories:

• EMJM scholarship holders
• Tuition-free students (where applicable)
• Self-funded students

Self-funded students pay the programme fee determined by the consortium.

Yes. The programme is designed as a mobility-based joint degree. Students study at multiple consortium institutions as defined in the academic structure.

Graduates receive a joint Master’s diploma issued by the participating institutions. The diploma explicitly states that the programme is jointly administered.

Students must successfully complete 120 ECTS, including a 30 ECTS Master’s thesis.

Failed courses may be retaken once, subject to academic approval. All course repetitions appear on the transcript.

Yes. Students must obtain valid accident and health insurance according to the regulations of the host countries.

Yes. Students are responsible for obtaining the required student visas for the countries in which they will study.

Graduates are prepared for careers in:

• International organizations
• Economic policy institutions
• Financial and consulting sectors
• Data-driven industries
• Doctoral and research programmes

All deadlines and official announcements are published on the programme’s official website during the annual call.

This programme offers a unique combination of economic theory, quantitative engineering methods, and international mobility.

Students benefit from:

• A truly joint curriculum delivered across multiple countries
• Exposure to diverse academic systems and economic environments
• Advanced analytical and modelling competencies
• Direct interaction with international faculty
• A joint diploma recognised across institutions

The programme is designed for students who aim to operate in complex, data-driven global environments and who seek both academic depth and international exposure.

Several features distinguish this programme:

• It integrates engineering precision with economic analysis, a combination rarely offered in traditional economics programmes.
• It is delivered by institutions from Europe and South America, providing cross- continental academic perspectives.
• It offers a fully structured mobility path within a coordinated consortium framework.
• It awards a joint diploma, not separate national degrees.
• It is embedded within the Erasmus Mundus quality framework, ensuring high academic standards and international recognition.

Applicants are expected to have a strong analytical and quantitative background. Degrees in economics, engineering, mathematics, statistics, data science, or related fields are particularly suitable.

Candidates from other disciplines may be considered if they demonstrate sufficient quantitative preparation and motivation.

The Master’s thesis (30 ECTS) is research-oriented and developed under international supervision.

Students may work on:

• Economic modelling and optimisation
• Quantitative policy analysis
• Data-driven economic systems
• Computational approaches in economic engineering

Thesis topics are aligned with faculty expertise and may involve interdisciplinary collaboration across partner institutions.

The programme follows a full-time structure of 30 ECTS per semester.

Students should expect:

• Advanced quantitative coursework
• Research assignments
• Cross-institutional academic coordination
• International mobility

The workload is rigorous and designed to meet high European academic standards.

Yes. The programme provides strong methodological and research training, making graduates competitive candidates for PhD programmes in:

• Economics
• Applied Mathematics
• Quantitative Social Sciences
• Financial Engineering
• Public Policy

The consortium operates through:

• Joint curriculum design
• Coordinated academic supervision
• Shared evaluation procedures
• Annual course alignment reviews

This ensures transparency, consistency, and high academic standards across all partner institutions.

Students receive:

• Academic advising
• Mobility guidance
• Visa and administrative support (information-based)
• Orientation programmes
• Access to institutional facilities and student services

Each host institution provides local support in line with Erasmus+ standards.

The ideal candidate:

• Has strong quantitative and analytical skills
• Is motivated for international mobility
• Demonstrates academic excellence
• Is interested in interdisciplinary economic modelling
• Seeks leadership roles in global economic environments

The programme is designed as a structured mobility path across consortium institutions.

Students study at multiple partner universities during the two-year period, allowing them to experience different academic systems, economic environments, and cultural contexts.

The mobility track is predefined within the curriculum and ensures balanced academic progression, credit recognition, and joint supervision.

Self-funded students pay the participation cost determined annually by the consortium.

The programme fee may include:

• Tuition and academic services
• Administrative costs
• Insurance (if applicable within the consortium structure)

Accommodation, travel, visa expenses, and personal living costs are not included in the tuition fee.

All official fee information is published in the annual call for applications.

Yes. The programme welcomes applicants with professional experience.

However, as a full-time mobility-based programme (30 ECTS per semester), students are expected to dedicate full academic engagement during their studies.

Professional experience may positively contribute to the evaluation process, particularly in demonstrating applied competence and field alignment.

While formal programming experience is not mandatory, applicants are expected to have strong quantitative skills.

Basic familiarity with statistical software, mathematical modelling, or data analysis tools is advantageous. Students without prior programming background should be prepared for intensive analytical coursework.

Graduates are well-positioned for roles in:

• International financial institutions
• Development agencies
• Economic policy and regulatory bodies
• Data-driven consultancy firms
• Fintech and digital economy sectors
• Research institutions and doctoral programmes

The interdisciplinary structure of the programme equips students with analytical and modelling competencies that are increasingly demanded in global labour markets.

The consortium encourages collaboration with research groups, policy institutions, and industry stakeholders where applicable.

Students may engage in research projects, applied modelling work, or thesis collaborations aligned with institutional partnerships and faculty expertise.

Applicants from the following fields are particularly competitive:

• Economics
• Engineering (Industrial, Systems, Computational, etc.)
• Mathematics
• Statistics
• Data Science
• Quantitative Social Sciences

Strong academic performance in core quantitative subjects significantly strengthens the application.a

Admission is highly competitive due to limited capacity and scholarship availability.

Only candidates demonstrating strong academic excellence, field suitability, and alignment with the programme’s objectives are selected.

Withdrawal policies follow consortium regulations and Erasmus Mundus rules.

Students should consult official guidelines regarding financial obligations, scholarship status, and academic records before making such decisions.