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Project in Data Analytics

  • Teacher(s):   M.Boldi  
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Autumn Semester 2021-2022, 4.0h. course (weekly average)
  •  sessions
  • site web du cours course website
  • Related programmes:
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This course follows Company Projects in Business Analytics.

Upon success, the student will be able to:

  • Develop and implement data analytics solutions,
  • Organize work in group,
  • Write a report and present it in a context of work in group.


The students, organized in groups, receive a problem from a sponsor: company, research institute, etc.

The job is to understand the problem, to conduct the needed research and develop one or several solutions. The job is done in collaboration with the company.

Topics are data analysis, machine learning, statistics in fields as diverse as pricing, operations, supply chain, HR, etc. More technical topics could be proposed.

This is not an internship and, unless otherwise agreed, the students are not expected to be located in the company. The work remains within the University of Lausanne.

Since they receive sensitive data, students must sign confidentiality agreements. The student cannot register for the course without accepting these.

The course is limited in number of participants depending on the number of projects submitted which may vary from year to year. The selection will be made on a first in first out basis.


Data Science, R and/or Python programming.


First attempt

Without exam (cf. terms)  

At the end of the project, students will have to provide a detailed written report and give a presentation. These two works form the final grade of the group. An individual behavior grade during the project modulates the group note:

Individual grade = 0.6 * Group grade + 0.4 * Participation grade.

With Group grade = 0.5 * Report grade + 0.5 * Presentation


Without exam (cf. terms)  

Writing a complement to the final report, and present this complement.

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