Data science & management

Certificate of advanced studies (CAS)

Data is a strategic asset nowadays. Everyone agrees with the principle, but we are far away from an effective use of data in business. In order to create value from Big Data and analytics, companies need to transform into Data-Driven Enterprises. HEC Lausanne and EPFL have designed this program to ease this transformation.

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Certificate of advanced studies (CAS)
16 days over 9 months
From 08h30 to 17h30
17 000 CHF
Before 31 January 2022
Data science & management
  • From 14/03/2022 to 15/11/2022


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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.

Learning objectives

  1. Critically define the role and value of data for companies and design value chains from data to information and insights.
  2. Demystify Big Data, Data Science, Artificial Intelligence and Machine Learning, and define innovative data-driven solutions.
  3. Identify and implement effective practices to manage data as a strategic resource.

Target audience

  1. (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiatives.
  2. Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
  3. Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.


See 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.

Program's blocks

Each module can be followed individually

The data-driven enterprise

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.

From 14 March 2022 to 17 March 2022
The data-driven enterprise
From data to insights

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.

From 09 May 2022 to 12 May 2022
From data to insights
Managing data as an asset

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.

From 13 June 2022 to 16 June 2022
Managing data as an asset
Data innovation, privacy & risks

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.

From 29 August 2022 to 01 September 2022
Data innovation, privacy & risks


Jorge Garcia
Jorge Garcia
I chose this program because it is a blended solution that combines both technical and strategic aspects of Data Science. It was very inspiring.
Mara Pasquali
Mara Pasquali
The speakers were a real source of inspiration. Their involvement helped me take action: deciding on an appropriate marketing strategy could no longer be done without being based on data, in order to stay ahead of the competition and optimize expenses.
Virginie Debons
Virginie Debons
There was a great quality and diversity among the speakers. The mix between theory and practice was perfect.


Admission criteria

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 terms

Price: 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

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Edition 2021/2022
Data science & management
14 March 2022
15 November 2022
31 January 2022