Transforming Business with AI & Data Tech
| Program start date | Application deadline |
| 2026-03-11 | - |
Program Overview
Program Overview
The Transforming Business with AI & Data Tech program is a Certificate of Advanced Studies (CAS) in Value Chain Data Technologies offered by EPFL. This program aims to bridge the digital gap for experienced professionals, enabling them to be catalysts for innovation by bringing ideas and shaping new business models.
Program Description
The program focuses on advances in data technologies, enabling the use of trusted data to drive dynamic operations through agile, system-wide connection. This end-to-end value chain connectivity provides visibility for profitable performance and transparency for positive impact. The central pillar to success is trust in data and people.
Participant Profile
The program is designed for:
- Value chain professionals (e.g., sourcing to supply, manufacturing, quality, engineering, finance)
- Problem solvers and project leaders charged with digitalization initiatives
- People who would like to leverage technology to improve operations performance and positive impact
- Practitioners who seek access to a niche network of esteemed value chain/supply chain experts
- Digital transformation leaders who want to certify their experience (5 to 20+ years)
Format
Each module consists of 3 full class days (usually Thursday, Friday, and Saturdays), in person at the EPFL Campus in Lausanne, Switzerland, along with remote and blended learning. The program is designed to enable participants to continue their work and study at the same time.
Module Overview
The program includes the following modules:
- Managing Innovation in the Era of Data and AI
- Building IoT & Digital Twins Roadmaps
- Business Model Innovation Lighthouse
- Leading Trusted Digital Transformation
Managing Innovation in the Era of Data and AI
Develops a holistic approach to AI and Data Science, ensuring the seamless execution of data-centric projects in a business context.
Building IoT & Digital Twins Roadmaps
Provides the knowledge to identify high-impact opportunities for IoT and Digital Twins, translate business goals into technology roadmaps, and guide informed, future-ready decisions.
Business Model Innovation Lighthouse
Equips participants with the insight and confidence to design sustainable, data-driven business model innovations.
Leading Trusted Digital Transformation
Empowers participants to lead digital change that is secure, responsible, and trusted, blending cybersecurity expertise with leadership skills.
Admissions & Tuition
- The fee for the full CAS (all modules) is 9,800 CHF.
- It is also possible to take individual modules, with a fee of 2,900 CHF per module.
- Multiple module discounts are offered when applying for 2 modules or more.
Requirements
- A Bachelor’s degree
- Minimum of 5 years work experience
- Fluency in English
Applications
Applications for the CAS or individual modules are submitted online, requiring:
- Curriculum Vitae
- Diploma & transcript for each degree
- A scan of your passport
- One passport photo (jpg file, minimum 300 dpi)
FAQ
- How much does the program cost?
- All modules: 9,800 CHF
- Individual modules: 2,900 CHF
- Module bundles: discounted fees when applying for 2 or more modules
- What is the format of the program?
- Each module consists of 3 days of in-person classes, over a period of 3 months
- Class days start at 9:15 and end at 17:15
- Can I attend one or more modules?
- Yes, it’s possible to upskill by attending individual modules
- What are the admission criteria?
- Bachelor’s degree
- Fluency in English
- Minimum of 5 years work experience
- How do I apply?
- Applications to the full CAS program or individual modules are submitted online
- When does the CAS program start?
- The next cohort will take place in the Spring of 2026 (11 March – 2 May)
- Can I work and study at the same time?
- The program is designed to enable participants to continue their work and study at the same time, with a total required time investment of approximately up to 350 hours.
