Course Catalog

DATA SCIENCE I: METHODS AND CONTEXT (DS5060)

This project-based course introduces data science by looking at the whole cycle of activities involved in data science projects. Students will learn how to think about problems with rigor and creativity, ethically applying data science skills to address those problems. The course project will address the theoretical, mathematical and computational challenges involved in data science.

DATA INDUSTRY PRACTICUM (DS5063)

This multi-workshop style course provides students with the possibility to exchange with internationally renowned industry and academic experts. Students will learn how data science is applied in industry, international organizations and research institutions. They will be exposed to various career paths and become acquainted with the requirements, future developments, challenges and opportunities within different organizations and application area.

DATA SCIENCE II: THEORY AND PRACTICE (DS5065)

The 21st century has seen a big increase in the amount of data which is made accessible. Social media such as Facebook, online shops such as Amazon and many others, are all gathering raw data. But what can be done about this data? Data Science covers tools and methods around the extraction of knowledge from data. Such tools cover its collection, storing, processing and analysis. In this course we will learn about several of the most important tools in the above flow and will apply them to real-world examples.

DATA PROTECTION: PREPARATION TO IAPP (DS5081)

This course introduces data protection principles guiding students through the online preparation for certification by the International Association of Privacy Professionals (IAPP). After the course, students may take the IAPP certification exam. IAPP’s certifications are widely recognized for privacy professionals seeking to fulfill roles such as Data Protection Officer (DPO) or Ethics Compliance and Privacy Analyst. The course cannot be dropped after orientation.

TOPICS IN DATA SCIENCE (DS5091)

TOPICS VARY BY SEMESTER

CAPSTONE PROFESSIONAL THESIS (DS5095)

This 6 credit capstone provides students with opportunity to test their theoretical knowledge of Human Rights and Data Science in a professional situation (NGO, private company, public administration, international institutions or other relevant bodies). The thesis should follow a 4-credit internship or relevant professional experience approved by the program director and the thesis supervisor.

CAPSTONE INTERNSHIP (DS5098)

This capstone provides students with opportunity to test their theoretical knowledge of Human Rights and Data Science in the context of data protection in a professional situation (NGO, private company, public administration, international institutions or other relevant bodies). Students will pursue an internship for 4 credits and write a professional capstone thesis for 6 credits.

FIRSTBRIDGE IN ECONOMICS (EC1099)

Firstbridge courses are offered to degree seeking freshmen and registration is done via webform in pre-arrival checklist.