Objectives of Programme's Learning Outcomes

• Mobilise expertise in at least one area of management.
• Contribute to the development of innovative tools and solutions.
• Adopt a scientific approach of analysis and reasoning.
• Collect data, analyse it qualitatively and quantitatively and adequately interpret the results, taking into account the reference framework within which the research was developed.
• Develop innovative strategies.
• Mobilise the methods and management support tools in changing contexts.
• Master the principal decision-making processes of a company.
• Integrate scientific and technological processes.
• Identify, model and analyse real and complex problems in management sciences.
• Assimilate the components of the social and economic environment of a company.
• Mobilise expertise in at least one area of management.
• Master the principal decision-making processes of a company.
• Professionally communicate and present original work both orally and in writing.
• Conduct scientific reasoning on complex or innovative management issues.
• Communicate and interact in a clear and structured manner, orally and in writing, on issues, analyses and projects.
• Act in an international and multicultural context.
• Assimilate the components of the social and economic environment of a company.
• Collaborate within a team and exercise leadership.
• Listen to team members and encourage expressing a shared opinion. Accept and discuss a different point of view than theirs.
• Prioritise responsible management practices.
• Refer to ethical principles and apply ethical codes specific to management sciences to their own behaviour.
• Act in compliance with specific legislative frameworks.
• In an active and integrated manner, master knowledge in the various fields of management and use them effectively in a professional context.
• Integrate highly specialised knowledge in different fields of management.
• Be independent and regularly adapt to new contexts.
• Monitor knowledge and methodological approaches in order to evolve their thinking and practice.
• Adopt a scientific approach of analysis and reasoning.
• Collect data, analyse it qualitatively and quantitatively and adequately interpret the results, taking into account the reference framework within which the research was developed.
• Develop innovative strategies.
• Mobilise the methods and management support tools in changing contexts.
• Master the principal decision-making processes of a company.
• Integrate scientific and technological processes.
• Identify, model and analyse real and complex problems in management sciences.

Learning Outcomes of UE

Students will discover various advanced tools useful for computerized business management in the fields of financial management, logistics and marketing. These include ERPs, programmatic advertising and big data.

Content of UE

Technical structure of an ERP.
Implementation of an ERP.
Special case of the SAP ERP.
Functioning of search engines.
Programmatic advertising.
Analytical tools.
Big open data.
Machine learning.

Prior Experience

Not applicable

Type of Assessment for UE in Q2

• Presentation and/or works
• Oral Examination
• Written examination
• Practical test

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Presentation and/or works
• Oral examination
• Written examination
• Graded tests

Q3 UE Assessment Comments

Not applicable