Master of Data Science for Public Policy (MDS)
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    Master of Data Science for Public Policy (MDS)

    Hertie School
    Hertie School
    Germany
    Germany, Berlin
    0
    Go to Official Website
    Duration2 year(s)
    Tuition Fee
    EUR 9
    Next IntakeOctober 1, 2021

    Master of Data Science for Public Policy (MDS)

    About

    The Master of Data Science for Public Policy (MDS) is a two-year, full-time programme taught entirely in English that brings together students from both technical and social science backgrounds in order to deepen their analytical skills and develop an in-depth understanding of the policy world. Learning how to use data for algorithmic decision-making is fundamental to the programme. If you are passionate about turning data into responsible decisions in order to tackle some of the world's most complex challenges across all sectors, then this programme is for you. Combine data science with public policy Students begin their studies building a foundation in data science with courses such as data structures and algorithms while simultaneously engaging with the fundamentals of public policy. Over the course of eight connected modules that emphasise practical training and professional development, students broaden their skills in data science, ethical decision-making, good governance and leadership. Students also have the opportunity to take courses from a wide portfolio of electives to expand their knowledge in data science, public policy and even international affairs. These courses give students the knowledge, concepts and tools required to write their Master’s theses on concrete problems in the broader field of data science.

    Requirements

    Entry Requirements

    Applicants must have completed an undergraduate degree (BSc/BA or its international equivalent) and must be fluent in English. See our website for detailed admissions requirements. All applications are assessed based on the following criteria: Academic excellence: Strength of academic background, academic performance – grades/transcripts, general academic qualification, linguistic qualification; weight: 40% Personal suitability and motivation: CV, professional experience, entrepreneurship, international experience, civic engagement; and convincing motivation to study data science for public policy at  Hertie School; weight: 30% Quantitative and technical ability: Understanding of statistics, mathematics and/or programming, as proven through a relevant degree, coursework or extracurricular activities (e.g., competitions in programming, hackathons, personal data-related projects and research); weight 30%

    Fee Information

    How to Apply

    All applications need to be submitted via the Hertie School's online application portal: https://application.hertie-school.org.

    Master of Data Science for Public Policy (MDS)

    Hertie School

    Hertie School

    Germany

    Germany, Berlin

    Go to Official Website0