MSc STP Program
The ISTP’s MSc program in Science, Technology and Policy started in fall 2015 and we are now recruiting students for the fall semester 2017. The aim of the ISTP is to contribute to evidence-based and effective policy-making with regard to key societal challenges, such as urbanization, the energy transition, digital society, and sustainable use of natural resources and the environment. Applications for the HS 2017 MSc class will be accepted from March 1st to March 31st 2017.
The program will equip students originating from natural sciences and engineering curricula with skills for analyzing complex societal problems at the interface of science, technology, and policy, and it is designed for students who aim at careers that require not only an outstanding education in natural sciences, engineering, or architecture, but also strong skills for analyzing existing public policies and evaluating proposed solutions for crucial societal problems.
The STP training equips ETH graduates embarking on technical careers to advance into leadership positions with significant decision-making authority, as well as to move directly into the growing number of jobs focused on the analysis of existing public policies and the systematic evaluation of proposed policy options.
The STP program provides students with:
- a critical understanding of the institutions and decision-making processes to be commonly found at the national and international level;
- experience in identifying the most important institutional, social, and political factors determining how people perceive and frame policy problems;
- an understanding of the theoretical approaches, that policy-makers frequently apply to analyze and solve societal problems;
- quantitative skills for policy analysis, including statistical analysis to identify the effects of past policies, simulation modeling to anticipate the effects of future ones, and methods of decision-analysis to identify robust strategies under conditions of uncertainty;
- experience in communication, both in order to learn from stakeholders what the most important attributes of a decision-context are, and to be able to explain the results of policy analysis in a manner that a wide range of potential audiences can understand.