Data Science in Technik und Wirtschaft

The Bachelor's Degree in Data Science in Technik und Wirtschaft at Technische Hochschule Ingolstadt equips students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science. This interdisciplinary program integrates principles of data analysis, statistics, and machine learning with foundational concepts in engineering and economy, preparing students to understand and leverage data to solve real-world challenges.

The curriculum typically includes core subjects such as data mining, database systems, machine learning, and data visualization, alongside courses in economics and business informatics. Students will engage in practical projects and case studies, providing them with hands-on experience in applying theoretical knowledge to practical situations.

Through this program, learners develop critical thinking and technical skills, including statistical analysis and programming. Moreover, studying in Germany, a leader in technology and innovation, offers unique insights into industrial applications of data science, fostering a global perspective that is advantageous in any career.

Applicants should typically possess a secondary school diploma equivalent to the German Abitur. Strong mathematical abilities and a passion for technology are highly encouraged. Additionally, relevant internship or work experience in a related field may enhance an applicant's profile.

International students are generally required to demonstrate proficiency in English, typically through standardized tests like IELTS or TOEFL. A minimum score of 6.5 in IELTS or 90 in TOEFL is commonly expected, but specific requirements may vary, so it is advisable to check with the university.

International students must apply for a student visa to study in Germany, which requires the submission of necessary documents such as proof of financial resources, health insurance, and an admission letter from the university. Students are encouraged to check the official visa requirements to ensure compliance.

• Data Analyst
• Business Intelligence Consultant
• Data Scientist
• Machine Learning Engineer
• Data Engineer
• Operations Research Analyst
• Statistician
• Quantitative Analyst