Educads
Master's Degree Computer Science & IT Full Time

Data Science

at Fachhochschule Kiel · Germany

Duration

1–2 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Master's Degree in Data Science at Fachhochschule Kiel equips students with the essential knowledge and practical skills necessary to excel in the rapidly evolving field of data analysis and artificial intelligence. This comprehensive program covers a variety of topics, including advanced statistical methods, machine learning, data mining, and big data technologies. Students will engage in hands-on projects that emphasize real-world applications, ensuring they are well-prepared for industry demands.

The typical structure of the course includes a blend of theoretical lectures and practical workshops. Students will have the opportunity to work on collaborative projects, gaining valuable experience in team dynamics and interdisciplinary approaches to problem-solving. Additionally, the curriculum is designed to foster critical thinking and analytical skills through the analysis of complex datasets and the development of algorithms.

Studying Data Science in Germany, particularly at Fachhochschule Kiel, provides students with access to a vibrant tech landscape and numerous opportunities for networking. The country is renowned for its innovation, particularly in engineering and technology, making it an ideal location for aspiring data scientists. Graduates will emerge with a globally recognized qualification that opens doors to various sectors.

Entry requirements

Applicants for the Master’s in Data Science are typically required to hold a bachelor’s degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. A strong foundation in programming and calculus is often essential. Additionally, candidates should demonstrate proficiency in quantitative reasoning and analytical skills through prior academic performance.

English:

To ensure students can thrive in an English-speaking academic environment, a minimum IELTS score of 6.5 or equivalent TOEFL score is usually required. This demonstrates the student's ability to comprehend complex texts and communicate effectively in both written and spoken English. It is advisable for applicants to verify the exact requirements with the university.

International students:

International students must typically apply for a student visa to study in Germany. Required documents may include proof of acceptance to the university, financial statements, health insurance, and other documents specified by the local immigration office. It is important for students to check the official requirements and procedures based on their country of origin.

Career outcomes

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Big Data Engineer
  • Statistical Analyst
  • Operations Research Analyst
  • Market Research Analyst

Have a question?

Join the discussion — ask other students and get answers.

💬 Start discussion on Data Science

Related programs

Bachelor's Degree Computer Science & IT

Computer Science (B.Sc.)

Karlshochschule International University

⏱ 4 years 🎓 Full Time
Bachelor's Degree Computer Science & IT

Angewandte Informatik

Hamburg University of Applied Sciences (HAW Hamburg)

⏱ 4 years 🎓 Full Time
Bachelor's Degree Computer Science & IT

European Computer Science

Hamburg University of Applied Sciences (HAW Hamburg)

⏱ 4 years 🎓 Full Time
Bachelor's Degree Computer Science & IT

Informatik Technischer Systeme

Hamburg University of Applied Sciences (HAW Hamburg)

⏱ 4 years 🎓 Full Time
Bachelor's Degree Computer Science & IT

Medieninformatik

Hamburg University of Applied Sciences (HAW Hamburg)

⏱ 4 years 🎓 Full Time
Bachelor's Degree Computer Science & IT

Wirtschaftsinformatik

Hamburg University of Applied Sciences (HAW Hamburg)

⏱ 4 years 🎓 Full Time

Stay updated

Get admission alerts, scholarship deadlines & university news — free.