Educads
Master's Degree Computer Science & IT Full Time

Angewandte Data Science und Künstliche Intelligenz

at Fachhochschule Stralsund · Germany

Duration

1–2 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

About this program

The Master’s degree in Applied Data Science and Artificial Intelligence at Fachhochschule Stralsund offers a comprehensive curriculum designed to equip students with the theoretical knowledge and practical skills necessary for a successful career in the data-driven world. This course covers various aspects of data science, including statistical analysis, machine learning, neural networks, and big data technologies. Students will engage in hands-on projects that allow them to apply their learning in real-world scenarios.

Throughout the program, students will develop skills in data manipulation, data visualization, and complex problem-solving. The course structure is typically divided into core modules, electives, and a final thesis project. Core modules focus on foundational topics in data science and AI, while elective modules allow students to specialize in areas such as natural language processing or data ethics, providing a well-rounded educational experience.

Studying in Germany offers a unique opportunity, as the country is known for its strong emphasis on innovation and technology. Students will benefit from being immersed in a vibrant academic and cultural environment, allowing them to network with industry professionals and fellow scholars. The program not only prepares students for technical roles but also fosters critical thinking and ethical considerations surrounding data use in society.

Entry requirements

Applicants for the Master’s in Applied Data Science and Artificial Intelligence should possess a Bachelor's degree in a relevant field such as computer science, mathematics, or engineering. A solid foundation in programming and statistics is essential. Additionally, candidates should demonstrate analytical thinking and a genuine interest in the intersection of technology and data.

English:

All international applicants are required to demonstrate proficiency in English. Typically, an IELTS score of 6.5 or a TOEFL score of 90 is expected, reflecting a competent level of academic English necessary for engaging with the course materials and participating in discussions.

International students:

International students need to obtain a student visa to study in Germany. This generally includes providing documentation such as proof of admission, financial resources, and health insurance. It is crucial for applicants to check the official immigration website or the university’s international office for detailed and updated requirements as they can vary based on the student's country of origin.

Career outcomes

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Data Analyst
  • Business Intelligence Consultant
  • Big Data Engineer

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