M.Sc. Engineering and Policy Analysis

  • On Campus
  • 24 months
  • EUR13650 Year (Non-EEA)
  • English (Find a course)
Delft University of Technology | Delft, Netherlands
TU Delft's MSc Program in Engineering and Policy Analysis (EPA) is an international interdisciplinary program, designed to provide its graduates with a unique combination of analytical, modeling and management skills. Equipped with these skills, graduates can play leading roles at all levels of society, solving complex problems that arise when the interests of public and private parties conflict. The programme is situated at the intersection of technology and public policy.

Description of Engineering and Policy Analysis


EPA equips you with more than just the technical skills you would expect in a standard engineering curriculum. EPA is interactive, international and interdisciplinary. You will be working on technological challenges in a context where political, moral, cultural and socio-economic considerations are crucial to decision-making processes and must be factored into the solutions. The complexity of these problems requires collaboration across the disciplines of natural and social sciences, and across international and cultural boundaries. We call this Comprehensive Engineering.

Programme structure

Studying technology and society and their interrelations is typical for the analytical approach central to all master programmes offered by the Faculty of Technology, Policy and Management. EPA is characterized by its unique blended, case-based approach to teaching and its focus on modelling and simulation. As a student you will:

  • work on real and actual cases, such as the Ebola outbreak, the banking crisis, scarce metals or the introduction of hydrogen as an energy carrier, often with the real commissioner of the work at arm’s length
  • gain the knowledge and means necessary to analyse problems, to model and simulate dynamic systems and to assess solutions that change our world for the better
  • study through innovative teaching methods, online as well as offline, with focus on debating and presentation skills, including role-play with actors;
  • profit from the case based approach of the programme, with real life cases.

Detailed Course Facts

Application deadline April
Tuition fee
  • EUR 13650 Year (Non-EEA)
  • EUR 1951 Year (EEA)
Start date September  2016
Credits (ECTS) 120 ECTS
Duration full-time 24 months
Delivery mode On Campus
Educational variant Full-time
Intensity Flexible
Structure Fully structured
Student interaction Online group works/assignments
Attendance No Attendance
Teacher support Continuous support with feedback on request

Course Content

The MSc programme Engineering and Policy Analysis (EPA) is a two-year full-time programme taught in English. The two fundamental themes of the EPA programme are policy and politics and analytics, modelling and simulation represented in the Programme chart on the right by different colours. The academic year starts in early September and continues until July of the following year. The curriculum comprises two years of two semesters each (one semester has two course periods), which adds up to 120 EC.

In the first year, you follow a highly interactive programme with required courses. In the second year you can choose a technical specialisation.

The EPA curriculum consists of modules within the following themes or fields:The new EPA curriculum has two learning lines. The modelling and simulation line, representing courses departing from a more analytical and modelling perspective. And a policy and politics line, which tries to explain decision making as a game of power and interests. Although we distinguish two learning lines, these two lines are interwoven and courses phased in a deliberate way. The first year lays the foundation for the programme.

The Policy and Politics line

This line consists of 6 courses

  • Policy analysis of multi-actor systems. This alignment course will be a combination of the Principles of PA and PA of MAS. It is obligatory for non-TB students and lays the foundation for systems thinking and multi-actor approaches. It is a blended course using online material. It prepares for the EPA Challenge project in the second period.
  • Understanding International Grand Challenges This course explores the application domain and agendizes practical, ethical and methodological issues. There is an explicit focus on the role and position of the analyst/modeller in these large scale/high-level interventions.
  • Intercultural Relations and Project Management This course combines theoretical elements of cross cultural management, especially Hofstede’s dimensions of culture, and a small part of project management and has a project element added where students explore solutions for grand challenges while working in international interdisciplinary teams.
  • Political decision-making This course focus on decision-making in networks and the ‘politics of policy analysis’ part. It ‘annotates’ and ‘criticizes’ the rational perspective of the advanced modelling courses running parallel to it in the modelling line.
  • Macro-economics for Policy Analysis This course introduces students to the basic macro-economic concepts and macro-analysis. The major competing macro-economic theories will be reviewed and used to assess the policy impacts of fiscal, monetary, trade and (energy) technology policies. Special attention will be paid to static and dynamic computable general equilibrium (CGE) models, which are used for policy analysis by the World Bank, the IMF, the OECD and the World Trade Organization (WTO).
  • Ethics and Impacts of Global Interventions This course considers and discusses the effects or impacts of major technological policies and projects as well as the ethical aspects of the evaluation and mitigation of these effects. It presents methods and approaches like (a) environmental impact assessment, social impact assessment, safety analysis for ex-anteresearch assessment and (b) (social) cost benefit analysis and value sensitive design for ex-ante evaluation and judgment.
The Modeling and Simulation Line

This Line consists of seven courses

  • Data analytics and visualization The objective of this course is to give an understanding of the approaches and tools to use data for developing model structures, providing input to models and to analyzing and validating the outcomes.
  • Computer Engineering for Large Scale Simulations This course offers an introduction to programming in Python and an introductory overview of computer engineering topics that are essential for running large scale simulation models. The course provides a mix of theory and skills which are practised using lab assignments.
  • Introduction to TPM Modelling This courses introduces the three main TPM modelling schools: Discrete Simulation, System Dynamics and Agent Based Modelling. The module will introduce the different simulation paradigms and discuss when/in which context to apply one of these.
  • Actor and Strategy Models This course provides students with a range of models and analytical lenses to understand actor interactions in a strategic decision-making or policy-making environment. A generic framework for such analysis is offered, introducing core concepts used for actor modelling.
  • Advanced Discrete Simulation System Theory, Object Orientation, Discrete Event System Specification, and Distributed Simulation will be the core topics of the course. After an introduction to system theory, the inner working of simulation environments will be illustrated. Several special topics will be taught, such as distributed and real-time simulation, and component-based simulation.
  • Advanced System Dynamics The overarching objective of this course is to deepen the knowledge of the students with respect to System Dynamics. To this end, the course discusses key research topics within the SD community. Specific attention will be given to when and why to use System Dynamics, how to use data in the development and testing of SD models, state of the art approaches to model validation, and formal model analysis, and the use of SD models in simulation gaming.
  • Model-based decision-making The central topic of this course is the support of long-term decision-making on complex societal issues through the use of cutting edge modelling techniques in combination with state-of-the-art deliberative methods. These large societal issues are typically surrounded by deep uncertainty, and the various policy makers that are involved virtually always operate in a highly political environment.

Examples of challenges tackled by EPA students in their thesis work include:

  • Managing intellectual property rights in inter-organisational collaboration
  • The provision of assured safe infrastructure for mobile telephony in The Netherlands
  • Study of successful public-private partnership for highway construction and maintenance in China
  • ‘Push to Talk’ - Opportunities for mobile operators in Africa
  • A cost-benefit analysis of storage opportunities for wind-power

English Language Requirements

Requirements for Engineering and Policy Analysis

You have to meet the admission requirements for the MSc Programme Engineering and Policy Analysis. These depend on your Bachelor's degree.

EPA candidates need to have a clear interest in modelling and simulation, and proven ability of either modelling or programming. EPA candidates preferably should be able to show their social engagement and/or interest in social and policy sciences from past (study) activities and/or experience.

Dutch HBO bachelors with an engineering or natural sciences background (with grade point average > 7 within 4 years and final assignment (Bachelor thesis) > 7 ) and university bachelors in architecture or others with deficiencies in their background knowledge, if admitted, will have to participate in an individual bridging program of max 30 ects.

International students have to fulfil the general TUDelft admission requirements (see below). Candidates should have a good mathematical background including calculus and have a basic understanding of general statistics.

Candidates will be invited based on the quality and level of their education; individual performance and quality of the educational institute, and their motivation. All candidates are expected to hand in a motivation letter in which they express the legitimation of their choice, personal ambition and give two examples of envisioned thesis projects.

Work Experience for Engineering and Policy Analysis

No work experience is required.

More Information


TU Delft wishes to remain a technology university with a leading global reputation. To do this, our aim is to maintain a full range of high-quality disciplines, courses and unique facilities in the engineering sciences. Collaboration is an essential part of this, on the basis of our strong identity and reputation. TU Delft wants to be a breeding ground for cutting-edge technological scientific developments to meet the great societal challenges of our age.

TU Delft’s mission is to make a significant contribution towards a sustainable society for the twenty-first century by conducting groundbreaking scientific and technological research which is acknowledged as world-class, by training scientists and engineers with a genuine commitment to society and by helping to translate knowledge into technological innovations and activity with both economic and social value.

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