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Master English Computer Science

Data Science

Master of Science (M.Sc.)

About the Program

The Master of Science in Data Science program prepares students to lead in the high-impact, fast-growing field of data science. The program focuses on working with real-world data using Python, R, machine learning, and visualization tools to develop analytical and technical skills companies need to drive innovation. The curriculum covers statistical modeling, machine learning, data engineering, and visualization using industry-standard tools like Python, R, and SQL. Students work on real-world datasets and solve challenges in sectors such as finance, healthcare, sustainability, and cybersecurity. The program emphasizes practical learning with innovative platforms like Power BI and Tableau. According to the webpage, employment of data scientists is projected to grow 36% from 2023 to 2033.
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The Master of Science in Data Science program prepares students to lead in the high-impact, fast-growing field of data science. The program focuses on working with real-world data using Python, R, machine learning, and visualization tools to develop analytical and technical skills companies need to drive innovation. The curriculum covers statistical modeling, machine learning, data engineering, and visualization using industry-standard tools like Python, R, and SQL. Students work on real-world datasets and solve challenges in sectors such as finance, healthcare, sustainability, and cybersecurity. The program emphasizes practical learning with innovative platforms like Power BI and Tableau. According to the webpage, employment of data scientists is projected to grow 36% from 2023 to 2033.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised Bachelor's degree in a related field; some programs require a minimum grade or specific prerequisites.

Language

English proficiency (typically IELTS ~6.5 or TOEFL iBT ~90). Basic German is helpful for daily life.

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

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Subjects / Topic Areas

Data Science

Similar Programs

Frequently Asked Questions

Quick answers about Data Science at Schiller International University - Heidelberg

Is Data Science at Schiller International University - Heidelberg taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Data Science programme cost?

8.250 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Data Science at Schiller International University - Heidelberg?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Data Science?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Schiller International University - Heidelberg — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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