Making Business out of Data
In the minor Business Analytics & Data Science you deepen your knowledge on various aspects in the field of data science. The minor consists of a number of advanced courses in that field and complements the corresponding Bachelor programme in Business Analytics in the direction of data collection and data-driven solution methods.
Related VU master’s programmes:
Choose 2 courses in period 1,
Choose 2 courses in period 2,
Out of the courses Data Structures and Algorithms for AI (period 1) and Data Structures and Algorithms for CS (period 2), you can choose at most one.
In this course students learn to critically evaluate innovation management concepts from academic literature and popular management press.
After taking this course, you have basic knowledge of data structures and algorithms, know that different data structures are suitable for different computational problems, and are able to analyze the performance of algorithms, with regard to their time and space requirements.
The courses Data Structures and Algorithms for AI and Data Structures and Algorithms for CS are equivalent to each other in content and level. Thus at most one out of these two courses is allowed in the minor Business Analytics and Data Science.
Data Analytics and Privacy focuses on the role of European fundamental rights and legal principles in the regulation of data analytics, with a general focus on the right to privacy and data protection.
The goal of the course is to get acquainted with basic data structures and the the design and analysis of algorithms.
The courses Data Structures and Algorithms for AI and Data Structures and Algorithms for CS are equivalent to each other in content and level. Thus at most one out of these two courses is allowed in the minor Business Analytics and Data Science.
This course covers the core aspects of information retrieval and search engines, including indexing, Boolean retrieval, the different types of queries, query execution, the vector space model, web crawling, networks, link analysis, PageRank, classification, and clustering.
The overall objective of the course Logistics Analysis is to furnish you with knowledge and skills to analyze logistics problems in a variety of industries including manufacturing, transportation and services.
Data wrangling is the process of gathering data in its raw form and molding it into a form that is suitable for its end use. This course is about how to gather the data that is available and produce an output that is ready to be used.