Bachelor's in Applied Data Science

Campus Bachelor Full Time
Delivery
Campus
Study mode
Full Time
Level
Bachelor
Starts
Fall, Spring

Introduction

Applied Data Science is a Bachelor program taught at Technische Hochschule Mittelhessen, Germany. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (4 years) options.

The Bachelor's Degree in Applied Data Science at Fachhochschule Gießen-Friedberg equips students with the essential skills to thrive in the data-driven world. This comprehensive program covers various aspects of data science, including statistical analysis, machine learning, and data visualization. By integrating theory with practical skills, students learn to analyze complex datasets and derive meaningful insights that can influence decision-making processes within organizations.

The curriculum is designed to provide a solid foundation in both computer science and statistical methodologies. Courses typically include Data Mining, Predictive Analytics, and Big Data Technologies, which ensure students are well-versed in the latest tools and techniques in the field. Moreover, hands-on projects and internships are integral components, allowing learners to apply what they've learned in real-world scenarios.

By studying in this university, located in a dynamic tech hub, students benefit from access to various industries and companies that are at the forefront of innovation. The vibrant environment fosters creativity and collaboration, which is pivotal for aspiring data scientists. Upon completion, graduates are well-prepared to enter a competitive job market or pursue further studies.

Admission Requirements

The minimum requirements for admission in Applied Data Science at Technische Hochschule Mittelhessen for all applicants (Domestic or International) are:

  • program specific academic requirment set by Technische Hochschule Mittelhessen.
  • English Language OR any other language requirments as set by Technische Hochschule Mittelhessen as pre-requiste for admission in Applied Data Science.

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

Applicants should typically possess a secondary education qualification equivalent to the local high school diploma, with a solid foundation in mathematics and science. Prior knowledge or experience in programming or informatics is beneficial but not mandatory. Passion for data and problem-solving abilities are qualities that are highly valued in candidates.

International applicants are required to demonstrate proficiency in English, commonly through standard tests. A typical expectation is an IELTS score of 6.5 or a TOEFL score of 90. However, higher scores may be needed for specific courses, and prospective students should ensure they meet the program’s specific language requirements.

Courses Units

More Information

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

Scholarships

72 fully funded scholarships are listed for Germany. See Germany scholarships.