- From 14/03/2022 to 15/11/2022
AboutDownload the flyer
The Executive Certificate (CAS) in Data Science & Management is a unique program for executives, developed by HEC Lausanne and EPFL. The program combines management and technology perspectives and demystifies Big Data, Data Science, Artificial Intelligence and Machine Learning. Participants develop the required skills to drive the transformation towards a Data-Driven Enterprise and create sustainable business value from data.
To get more information about this short programs please check the program tab.
- Critically define the role and value of data for companies and design value chains from data to information and insights.
- Demystify Big Data, Data Science, Artificial Intelligence and Machine Learning, and define innovative data-driven solutions.
- Identify and implement effective practices to manage data as a strategic resource.
- (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiatives.
- Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
- Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.
ProgramSee the calendar
The program comprises 4 modules that can also be taken as individual shorts programs (4×4 days) that address the strategic, organizational and technical challenges in data-driven organizations.
The capstone project of the Executive Certificate in Data Science & Management is the “Individual Data Project - IDP”. Participants are encouraged to start the program with a concrete “data transformation” ambition in mind (usually for their employer). They will develop their project throughout the program with the support of HEC Lausanne and EPFL experts.
This certificate is composed of 16 days of teaching spread over 9 months: 4 days/month.
In total it represents 128 teaching hours and about 128 hours of assignments.
Each module can be followed individually
The fourth industrial revolution is driven by smart, connected objects, and exploding amounts of data. In this new era where “data is the new oil”, there is little value in “crude” data. But if crude data can be extracted, refined, and piped to where it can impact decisions, its value will soar.
The impact of Data Science and Artificial Intelligence (AI) whether it be on the economy or on society as a whole, is now recognized by all. In order to best negotiate the turn of the digital revolution, companies are now obliged to adapt to a pace they have never experienced before while bypassing the myth surrounding AI.
Most companies consider data as a strategic asset, but they hardly manage it as such. This short program introduces principles and methods of data management covering data assets, data quality, data governance and data life cycle. This will empower organizations to create the data culture strategically needed nowadays.
The increasing amount of data offers manifold opportunities for data-driven innovations and new business models. To benefit from these innovations, companies need to establish effective practices for data sharing in their ecosystems while coping with data privacy, ethics and risks such as the impact of GDPR.
The steering committee reserves the right to accept applications from people who do not meet the conditions below on the basis of their motivation and professional experience.Professional experience
A minimum of 5 years of professional experience.Academic curriculum
Hold a university degree or any type of diploma deemed equivalent by the program management.study rules
Payment termsPrice: 17 000 CHF
All expenses related to continuing education are, except in exceptional cases, tax deductible.Down payment : 1 500 CHF
To be paid within 7 days upon receipt of the confirmation letter of your registration.Discount (10%): -1 700 CHF
A discount is offered to contributing members of Alumni HEC or Alumni EPFL or registrations received before 31 October 2021.directives de paiement