This CAS Programme offers a profound overview of data driven methods without relying on technical prerequisites, statistical notation or coding software and tools. The aim is to provide managers on the one hand with a thorough understanding of modern tools and methods, that are about to shape the (business) world (modules 1-4). On the other hand this programme covers conceptual background knowledge on how to identify and implement new data driven business models (modules 5-7). The CAS Programme will be taught by top practitioners and academics.
What you can expect
■ to understand modern statistics and predictions for effective decision-making
■ to be enabled to effectively communicate with data scientists within your own organization
■ to be enabled to identify opportunities for new data-driven business models
■ to learn how to apply statistical concepts with easy-to-use tools
Course location: iimt – University of Fribourg
Tuition Fee: CHF 9’800.-
Language: English
Face-to-face or hybrid learning
Flexible start: June or September 2023
Flexible ending: during 2023 or late
7 modules all-in-all
Examination after each module
Final CAS Thesis required
Learn from Industry Experts and Certified Teachers
Prof. Dr. Michael Burkert
Subject Area Coordinator
Available for any information about the programme
Subject Area Coordinator
Available for any information about the programme
Amir Tabakovic
Strategist, Innovator, Investor in ML Technology, Chair of Expert Group Data Privacy and AI at Mobey Forum, Guest lecturer at ICEMD and ESADE
Strategist, Innovator, Investor in ML Technology, Chair of Expert Group Data Privacy and AI at Mobey Forum, Guest lecturer at ICEMD and ESADE
Prof. Dr. Martin Huber
University of Fribourg
University of Fribourg
Your CAS programme
All courses have an integrated view and are organised around central subject areas, the development of which has been identified by employers and economic experts as the basis for a successful management.
The CAS Data-driven Business Models programme consists of 7 different modules, six of them are mandatory, one is elective:
And you can choose one of the following elective modules:
Assemble your CAS Programme to your personal needs and requests. Should you wish to change some modules, or should you have any other questions, do not hesitate to get in touch with us.
The iimt Experience
Flexibility
Flexible start in June or September 2023. The flexible design of the courses allow participants to have a full-time (7 modules in 1 year) or part time (7 modules in 1 up to 3 years) study programme.
University Degree
The iimt’s CAS programme of the University of Fribourg is recognised all over the world.
International Environment & Networking
Leading experts offer the possibility to enhance the participants networks on 3 levels: students, lecturers, and the institute with the iimt alumni network.
A unique learning experience
Interactive teaching methods combine theoretical know-how and practical approaches.
Course location
iimt University of Fribourg
Language of instruction
English
Examinations
7 examinations and 1 final project
Admission Requirements
2 years professional experience, licence (Bachelor/Master) recognised from a University or University of Applied Sciences or other diploma recognised as equivalent (candidates may be admitted “sur dossier”).
Leading Professors and lecturers with a strong academic and teaching record are acting as lecturers and offer participants the most advanced training available.
Industry Experts
Amir Tabakovic – Strategist, Innovator, Investor in ML Technology, Chair of Expert Group Data Privacy and AI at Mobey Forum, Guest lecturer at ICEMD and ESADE
Dr. Christopher Bruffaerts, Head of AI Exploitation & Innovation at Sunrise Communications AG
Academic Professors
Prof. Dr. Michael Burkert, University of Fribourg
Prof. Dr. Martin Huber, University of Fribourg
Similar programmes that might interest you
More interested in a programme with an even higher focus on AI/Machine Learning/Deep Learning for managers? Check out our CAS Business Analytics and Artificial Intelligence
More interested in a shorter training with no examination? Check out our 6-days training Data Science for managers