IU Germany | MASTER (M.Sc.) DATA SCIENCE (120 ECTS) + LSBU
To be competitive, the business sector relies heavily on analysing, evaluating, and optimising performance—and data scientists help with this. That might be you if you have a Master's in Data Science. To be competitive, the business sector relies heavily on analysing, evaluating, and optimising performance—and data scientists help with this. That might be you if you have a Master's in Data Science.
IU Germany | MASTER (M.Sc.) DATA SCIENCE (120 ECTS) + LSBU
To be competitive, the business sector relies heavily on analysing, evaluating, and optimising performance—and data scientists help with this. That might be you if you have a Master's in Data Science. To be competitive, the business sector relies heavily on analysing, evaluating, and optimising performance—and data scientists help with this. That might be you if you have a Master's in Data Science.
Description
Data Science encompasses the generation of insights and value from raw data and is the core of digital businesses across all sectors. It's a field that requires a diverse mix of ca- abilities and skills- and never gets boring. Data informs key decisions, leads to optimisation of existing processes, and is the enabler of entirely new business models via data insights and automation. The IU bachelor in Data Science is an ideal opportunity to dive deep into the technical skills step-by-step- with a hands-on approach and expert guidance. Our professors make sure you gain the hacking skills, math and statistical knowledge, and domain expertise needed with the right balance of supervised and independent study. We put much emphasis on practical work throughout your degree, helping you to acquire a portfolio of projects to demonstrate your skills once you graduate. When you take a bachelor's degree in data science you join the data revolution that is leading major changes in businesses, economies, and societies today.
What you'll learn
The IU Master's degree in Data Science builds a solid base for you to understand the concepts behind advanced algorithms used to process and analyse data, make data-driven predictions, and critically evaluate performance success based on key performance indicators. These analytical skills and our practical use-case based approach will fuel your professional success as companies are constantly searching for talented graduates in this field.
Curriculum
Curriculum for this course
18 Lessons
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Data Science - 5 ECTS
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Advanced Mathematics - 5 ECTS
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Seminar: Data Science and Society - 5 ECTS
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Advanced Statistics - 5 ECTS
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Use Case and Evaluation - 5 ECTS
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Project: Data Science Use Case - 5 ECTS
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Programming with Python - 5 ECTS
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Machine Learning - 5 ECTS
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Deep Learning - 5 ECTS
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Deep Learning - 5 ECTS
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Big Data Technologies - 5 ECTS
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Electives A - 10 ECTS
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Cyber Security and Data Protection - 5 ECTS
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Case Study: Model Engineering - 5 ECTS
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Software Engineering for Data Intensive Sciences - 5 ECTS
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Electives B - 10 ECTS
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Seminar: Current Topics in Data Science - 5 ECTS
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Master Thesis & Colloquium - 30 ECTS
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