Data Science for Public Policy

Subjects: Data Science for Public Policy,Public Policy,Policy,Data

M.Sc. | Master of Science

Course description

Addressing climate change, fighting disinformation, and building smart cities are some of today's most pressing issues. These challenges demand a new breed of policymakers and problem solvers who can blend policy expertise with data insights to craft solutions for government, civil society, and business. The Master of Data Science for Public Policy (MDS) program is designed to meet this need by bringing together passionate students from both technical and social science backgrounds. This two-year master's program aims to deepen your analytical skills and provide a comprehensive understanding of the policy landscape. In the MDS program, you will learn to harness the transformative power of data science and data-driven decision-making to address some of the most complex challenges of our time. The curriculum includes training from instructors at the Data Science Lab, who are internationally recognized researchers and exceptional teachers. The program's rigorous yet practical classes offer an ideal environment to master core data science concepts and their computational applications. Unlike massive online courses, this program provides in-depth training and a strong commitment to your educational needs. By the end of the program, you will be well-equipped to leverage data science in creating impactful policies and solutions. The MDS program fosters an atmosphere of trust, understanding, and inclusivity, ensuring that you

Application Requirements

Language Requirements

English language proficiency: strong command of the English language Strong command of the English language as established by completion of an undergraduate-level degree at an English-language academic institution or by taking an English test. These tests and scores are accepted: TOEFL | CBT 250 | iBT 100 (Writing 25) Cambridge ESOL | CPE C | CAE B IELTS | Overall = 7.0 | Writing 7.0 Duolingo English Test | 125 Please note that the test may not be older than two years and that the deadline to submit proof of sufficient English proficiency is 1 June 2024. If you are admitted, you must submit proof by this deadline in order to enroll.

Qualification Requirements

To be eligible to join the Master of Data Science for Public Policy, you need to fulfil the following requirements: A bachelor’s degree Either a Bachelor of Arts or Bachelor of Science degree with 180 ECTS credits from an accredited college or university. If you do not yet have your undergraduate degree at the time of application, please indicate when you will receive it on the online application form. You must complete all of your undergraduate academic course work and exams before 1 September 2024 in order to matriculate.

Document Requirements

Please upload the following required supporting documents to the online application portal: Your current CV indicating your academic background, work experience and voluntary activities. Please do not include a photo on your CV. A letter of motivation explaining your specific interest in the study programme and how it relates to your professional aspirations. Your letter should be 500-900 words. Copies of official academic transcripts of all attended universities. Every transcript must include a transcript key (an explanation of the grading system). If not in English, we require a certified translation into English. Hard copies are not required until after acceptance into the programme. A copy of an English proficiency certificate (for non-native speakers). For more detailed information about which tests and minimum scores are accepted, please consult our Frequently Asked Questions section. Please note that English test results can be provided after you submit your application to the Hertie School. You must send the certificate to the admissions team per e-mail at grad-admissions[at]hertie-school[dot]org. The deadline to submit English test results is 1 June 2023.