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Bachelor's Degree Computer Science & IT Full Time

Applied Data Science

at Technische Hochschule Mittelhessen ยท Germany

Duration

4 years

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

Campus

GieรŸen

About this program

The Bachelor's Degree in Applied Data Science at Technische Hochschule Mittelhessen provides students with a robust foundation in data analysis, machine learning, and data visualization. This interdisciplinary course merges computer science, statistics, and domain knowledge to equip students with the skills to handle complex data sets and derive meaningful insights. Throughout the program, learners engage with real-world data applications, preparing them for the evolving demands in the field of data science.

Students will cover core topics such as data mining, predictive modeling, and big data technologies. The degree structure is designed to foster both theoretical understanding and practical application, with hands-on projects and collaborations with industry partners. Students will also gain proficiency in programming languages commonly used in data science and learn to work with various data tools and software.

By studying in Germany, known for its technological advancements and strong economy, students gain exposure to robust industrial practices. The country hosts a vibrant tech scene, providing ample networking and internship opportunities. Graduates will be well-equipped to embark on a successful career in a variety of sectors that leverage data to drive innovation and efficiency.

Entry requirements

To apply for the Bachelor's Degree in Applied Data Science, students typically need to have completed secondary education with a strong emphasis on mathematics and computer science. A solid foundational knowledge in statistics and programming is advantageous. Candidates may also be required to demonstrate analytical thinking and problem-solving skills, which are crucial for success in the course.

English:

Non-native English speakers are generally required to demonstrate proficiency in English through standardized tests. Typically, an IELTS score of 6.0 or a TOEFL score of around 75 is expected. It's advisable for applicants to check specific requirements, as these may vary.

International students:

International students must ensure they have the appropriate student visa to study in the country. Typically, this entails providing proof of admission, financial resources, and health insurance, along with essential identification documents. It is crucial to verify the specific visa requirements through official government resources, as these can differ significantly between countries.

Career outcomes

  • Data Analyst
  • Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Statistical Consultant
  • Data Engineer
  • Quantitative Analyst

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