Summer School 2025

This Summer School is a Blended Intensive Programm (BIP) event. 


The Summer School is targeted to bachelor, master or PhD students who are interested in application of quantitative tools to tackle problems of green energy, decarbonised economy and sustainable finance. This summer school is an intense program where students will dive into the quickly changing subjects of data science, sustainable finance, and economics. Students will boost their existing skills and learn new ones by working on a shared project. Supporting lectures and teaching materials for self-study will overview state-of-the-art ideas about the connections between data science, sustainable finance. The program will finish with a hands-on project, provided by our business partners. 

  • Dates:  September 01-12, 2025
    • September 01. - 05. will be held online
    • September 08. - 12. will take place at campus.
  • Where: HTW Berlin - Gebäude-C Wilhelminenhofstraße, 12459 Berlin
  • For whom: Bachelor, Master Students and PhD students
  • Funding: 
    • Grants for students from HTW's partner universities might be available through their home universities. Please get in touch with the International Office of your home university to clarify.
    • 2 Travel grants are available for Ukrainian students from "Igor Sikorsky Kyiv Polytechnic Institute (KPI)" through "DAAD Ostpartnerschaften".
    • please state clearly in your motivation letter about the required funding.
  • Costs: no tuition fee
  • Course Design:
    • Interdisciplinary approach
    • Blend of theoretical input, practical application, and case study analysis.
    • 3 (5) ECTS (depends on the university)
    Students will be grouped into diverse international teams of 4-6 people. Each team will work on a case study with a real dataset, supplied by our industry partner, featuring interdisciplinary questions at the intersection of data science, energy, green finance, sustainable economics and quantitative methods.

Prerequisites

  • Minimum 5th term of Bachelor in Data Science, Economics, Finance, Statistics, Mathematics or any related studies,
  • Programming experience in Python or R programming languages is desirable,
  • Strong knowledge of English (between B2 and C1).

Application procedure

To apply for the Summer School, please register here.

The following documents must be submitted:

  • Curriculum vitae (max. 1 page) with GPA (grade point average)
  • letter of motivation (max. 1 page) briefly explaining your personal motivation for participating in this program (why it is relevant to you)

The following deadlines apply:

  • Application period: Thursday, 01.05.25: opening of the application on the website, 15.06.25: deadline - last day to apply.
  • Announcement of results: 01.07.2025.
  • Contact: If you have any questions or comments, please contact the organizing committee at the following e-mail address: ds.sustainable.finance.economics@gmail.com

Speakers

Organizing Committee: