Tax & Technology I
Tax & Technology I focuses on current applications of technology within tax.
It is a worldwide trend that tax authorities increasingly use technology to promote compliance. An emphasis is laid upon collecting and managing (big) tax data in order to insure a correct tax payment and detection of fraud. This trend goes hand in hand with further digitalization of information exchange between tax authorities and taxpayers. Industry and business communities also use technology to optimize tax processes and to comply with reporting obligations.This course explore the fiscal and technological aspects that form the foundation of this process.
Students will be introduced to basic programming and data management concepts through hands-on programming sessions.
The course will commence in September 2020 and will take about 7 weeks. It is provided at the VU in Amsterdam.
(VU STUDENTS NEED TO REGISTER VIA THE VU WEBSITE)
DEADLINE FOR REGISTRATION IS AUGUST 5, 2020
Tax & Technology II
Tax & Technology II focuses on emerging technologies and the impact they will make to the tax profession.
Acquiring in-depth knowledge and understanding of the (innovative) technological aspects that are involved in the field of taxation including big data, blockchain, artificial intelligence. At the end of the course, the student should be able to thoroughly analyze and interpret literature and legal sources in the field of technology and taxes and to ask critical questions about this. The student should also be able to apply knowledge of relevant technologies incomplex tax cases and to offer creative solutions.
Students will come to understand the basic principles on which these technologies are based and will be able to identify the risks and opportunities that come with the usage of these technologies within the field of taxation.
This course will commence on April 8, 2020, 9:45 - 12:30 and will take 7 weeks. It is provided at the Tilburg University.
REGISTRATION CLOSES FEBRUARY 19, 2020
Computational Science of Taxation
The aim of this course is that students learn to think interdisciplinary between tax law and technology.
Computational science is a multidisciplinary field and aims to understand complex systems by developing computational models and simulations. For tax law, 'Computational Tax' is what bioinformatics is for medicine and econometrics for the economy. The central question of the course is how computational models and methods can help to better understand the tax domain? After completing this course, students are also able to describe important historical, current and future developments in computer technology and data science and can explain the potential of these developments for the tax domain of the future.
Although students do not need a prior background in mathematics or computer science to successfully complete this course, they must have strong analytical skills.
This course will take place in February - April 2020 and will take 7 weeks. It is provided at the Maastricht University.
UPDATE: Due to the hack on the University Maastricht, the syllabus is unfortunately not yet available. Teaching schedules will also not be available until the 20th of January.
Tax & Technology Post-Master
The Tax & Technology Post-Master is designed for post graduates which have 3 or more years of working experience within tax.
The rise of legal technology is rapidly changing the way we approach tax law.This course seeks to explore the current technological trends as well as the tax related transformations they may bring.With this course, we hope to prepare the future generation of tax lawyers for the legal technology era by bridging the gap between tax and technology.Tax & Technology post-master is an intensive 2-day programme consisting of 5 modules including hands-on programming lessons, technical expert Q&A sessions,ERP breakdowns and artificial intelligence deep-dives. All from a tax perspective.
For this intensive 2-day course, we have cherry picked topics from tax technology I & II. We will discuss various topics, ranging from deep learning to ERP systems, privacy & confidentiality to programming basics.
This course will be provided in the spring of 2020 at the VU in Amsterdam