Curriculum & Course descriptions
Master's program Data Science and Entrepreneurship (jd)
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Find more information on this page about the curriculum of the Master's program Data science and Entrepreneurship. You can also check out all the course descriptions. The Master's program Data Science and Entrepreneurship (jd) entails a two-year full-time program requiring students to attain 120 credit points (ECTS). The curriculum is divided into four semesters of 30 credits each. The study load of the individual courses is 6 ECTS, except for the Master’s thesis, which has a study load of 30 ECTS credits. |
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Curriculum overview
Master's Program Data Science and Entrepreneurship
Course descriptions
Master's Program Data Science and Entrepreneurship
Click on each course a full course description (opens in new tab)
Year 1
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Semester 1.2
Compulsory Business Analytics Creative Thinking and Innovative Design Data Entrepreneurship in Action II Electives: *Choose at least one out of two Innovation Services Entrepreneurial Marketing* Entrepreneurial Finance* Deep Learning |
Year 2
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Semester 2.1
Compulsory Real-Time Process Mining Data Entrepreneurship in Action III Master's Thesis Electives: Supercrunchers Data-Driven SCM Intelligence |
Semester 2.2
Compulsory Law, Ethics and Entepreneurship Master's Thesis Electives: Data Visualization Servitization and Data-Driven Innovation (course description not available yet) |
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