Data Science for Managers (DSFM)

Innovative companies around the world are quickly developing capabilities in Artificial Intelligence, and Data Science has now become a critical skill for every manager in the digital age. If you need a fast and comprehensive overview to Data Science, join us for the DSFM Boot Camp.

Data Science for Managers offers a balance of theory and practical experience, with a combination of lectures, demonstrations, case studies, visualizations, programming exercises, and applied problem solving. You will quickly learn the tools and vocabulary that you need to collaborate with technical teams and separate AI-reality from AI-hype.

Continuing Education:  DSFM Program Website

Computational Research Methods for the Social Sciences

Prof. Younge teaches the computational methods module (covering data acquisition, data curation, database manipulation, exploratory analysis, statistical analysis, generative models, text analysis, machine learning, big data processing, and cloud computing) for the doctoral program at the College of Management of Technology. The course complements advanced courses in statistics and econometrics by adding procedural tools from the field of computer science. The course is open to doctoral students with different levels of computing and programming expertise.

EPFL Course:  MGT-618 (Doctoral Program) – Syllabus

Data Science for Business

Managerial decisions are increasingly being driven by data – often Big Data – that require a computational mindset, and special skills, tools, and conceptual frameworks. The MTE program and TIS offers Masters students a course in Data Science for Business to teach you how to make strategic decisions in the age of data. This is a ‘hands-on’ course with extensive computer programming for real-world problems. The course covers basic elements of the Python programming language, but students are expected to be competent with basic concepts from statistics and computer programming.

EPFL Course:  MGT-432  (Masters Program) – Syllabus

Computational Methods for Economists (CMFE)

Prof. Younge coordinates the short-course on Computational Methods for Economists for the EPFL Summer School. The first edition of the course focused on Text analysis and Agent-based models and helped doctoral and master students learn a range of computational methods in topic modeling, statistical methods for making causal inferences from text and agent-based computational economics. Through a series of hands-on tutorials, the students also worked on real examples with real coding solutions, that they can then refer back to in future research projects.

EPFL Summer School:  CMFE-2019  (Doctoral and Masters Programs)

The 2019 edition of CMFE included instruction by:

Technology and Innovation Strategy

Prof. Younge teaches the Technology and Innovation Strategy course in the Management, Technology & Entrepreneurship (MTE) program in the Spring Semester. The course surveys topics from Strategic Management and relates them to applied topics in research & development, information economics, business analytics, resource acquisition, and disruptive innovation.

EPFL Course:  MGT-414  (Masters Program) – Syllabus

The EuroTech Alliance

Prof. Younge also teaches short courses in quantitative methods and entrepreneurship in the EuroTech Alliance. Having founded five firms over his career, Prof. Younge takes a particular interest in teaching courses such as Business Plan Preparation in a bootcamp/short-course format. He also teaches doctoral seminars on entrepreneurship.

EuroTech AllianceMore information

CDM Executive Education

Prof. Younge teaches other executive education courses for the EPFL College of Management of Technology. With 14 years of experience in industry — including experience as a Chief Technology Officer, as a Company President, and as a management consultant — Prof. Younge brings a wealth of hands-on and practical knowledge to the executive education classroom.

EPFL Executive EductionCDM Executive Education

Short Courses

Prof. Younge works with companies, universities, and other institutions around the world to host bootcamps & short-courses within their firms. When it is not possible to send all of the necessary employees to EPFL to take a continuing education course (such as Data Science for Managers), it may be possible to arrange for onsite at your company.

Inquiries:  Please email Professor Younge for more information…