Fern-Fachhochschule Hamburg · Germany

Bachelor Data Science

Campus Bachelor Full Time

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Delivery

Campus

Study mode

Full Time

Level

Bachelor

Starts

Fall, Spring

Introduction

Bachelor Data Science is a Bachelor program taught at Fern-Fachhochschule Hamburg, Germany. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (6/7/8/9 Semester) options.

The Bachelor in Data Science at Fern-Fachhochschule Hamburg offers a comprehensive exploration of data analytics, machine learning, and statistical methods designed to equip students with the knowledge necessary to manage and analyze vast amounts of data. The curriculum is structured to combine theoretical knowledge with practical applications, providing students with a solid foundation in programming, data manipulation, and data visualization techniques.

Throughout the course, students engage with various programming languages and tools such as Python, R, and SQL, shaping their ability to work with data in diverse environments. The program emphasizes critical thinking and problem-solving skills, encouraging students to approach data-driven challenges creatively and analytically.

Studying Data Science in Germany offers international students access to a thriving tech industry and a rich academic environment known for its emphasis on research and innovation. Furthermore, the multicultural setting enhances the learning experience, allowing students from various backgrounds to collaborate and share diverse perspectives on data challenges.

Admission Requirements

The minimum requirements for admission in Bachelor Data Science at Fern-Fachhochschule Hamburg for all applicants (Domestic or International) are:

program specific academic requirment set by Fern-Fachhochschule Hamburg.
English Language OR any other language requirments as set by Fern-Fachhochschule Hamburg as pre-requiste for admission in Bachelor Data Science.

Note: Please check the university website in the link below.

To gain admission to the Bachelor in Data Science program, applicants should possess a secondary school diploma or equivalent qualifications, demonstrating a strong foundation in mathematics and analytical thinking. Relevant prior coursework in subjects such as computer science, statistics, or predictive modeling can be beneficial.

Non-native English speakers are generally required to demonstrate their proficiency in English. A typical benchmark is an IELTS score of 6.5 or higher or a TOEFL score of 80 or equivalent, ensuring that students can effectively engage with coursework and participate in discussions.