Scientific Programming
Degree program: MSc Business Analytics and Data Science
In this module, students will acquire the necessary programming skills for data analysis and scientific computing. The module covers essential topics such as data structures, control structures, functions, loops, recursion, object-oriented programming, comments, exception handling, and algorithms. Through hands-on programming exercises and projects, students will gain practical experience with a programming language commonly used in data science, enabling them to efficiently manipulate and process large datasets. They will learn to write well-structured code and develop problem-solving skills that are essential for implementing algorithms and analyzing data. By mastering scientific programming, students will become proficient in translating business problems into computational solutions, enhancing their ability to extract valuable insights from complex datasets.
Course facts
ECTS credits | 5 Credit Points |
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Tracks | Standard Track, Fast Track |
Method of examination | 100% Project Work |