Artificial Intelligence in Banking and Finance

About

The Business Analytics Institute, together with the ZHAW School of Law and Management, will once again be offering a 10-day summer school on our Basque Coast campus in Anglet on the Practice of Data Science.

Our professors and experts will help management and engineering students as well as working professionals focus on the managerial implications of current innovations of Data Science in the Banking and Finance .

Each course will be facilitated by industry-recognized experts in their fields. Company visits and professional speakers from the industry leaders and makers will highlight this session.

Set along the beaches and villages of the Basque Coast, the sessions offer perfect settings to give your career a boost!

Quick facts:

The Summer Session will be held July 1-10, 2020. We will explore the Practice of Data Science using case studies, workshops, seminars, and expert testimony from the Banking and Finance Sectors. Course syllabi are available on request.

The session is open to upper class and graduate management and engineering students, as well as working professionals aiming to develop their practical knowledge and skills in Data Science

This summer’s international faculty will be composed of Profs. Cielen, Minaj, Stockinger, and Schlenker.

Company speakers and/or visits are planned with the Data Science teams from traditional banks and Fintech operators.

Our cultural visits will include San Sebastien, Biarritz, and Laàs, as well as a Basque cooking class, surfing lessons, and an introduction to Pelota

The practicums will be run using Microsoft Azure Machine Learning, ProM, Semdee and Spark

Course leader

Dr. Lee SCHLENKER

Target group

Upperclass and graduate business and engineering students

Course aim

Summer Program
The 2023 BAI Summer School will focus on how Data Science is shaping Banking and Fintech.

The pedagogical program includes seminars, workshops and expert testimony to help management students and professionals understand the opportunities and challenges of building their Data Science careers in this highly competitive industry

Fee info