Aims

This course evaluates the following learning outcomes:

The student

1.1 (IB) analyses strategic international business operational problems and questions taking into account the specific business context.

1.2 (IB) formulates, based on scientific knowledge on and insight into the international business environment,  a well-founded solution for strategic and operational international business problems and questions and when doing so, takes into account the specific business context.

2.2 (IB) formulates, based on scientific knowledge on and insight into the international business environment,  a well-founded solution for strategic and operational international business problems and questions and when doing so, takes into account the specific business context.

2.3 (IB) develops the capacity to formulate an independent view on the ethics of current and new international business practices.

3.1 (IB) collects and analyses online data in an efficient and effective way to solve international business problems.  

3.2 (IB) retrieve online data in such a manner that they can be used for solving international business problems. 

3.3 (IB) has a profound understanding of cultural and institutional factors and how they impact international business decisions.

4.3 (IB) is able to assess the impact of technological and privacy constraints on the quality of international business analyses. 

5.1 collects and consults sources and data purposefully and critically, on the basis of a given management problem or social question and takes into account the characteristics of the type of source or data used (popularizing or scientific source, primary or secondary data).

5.3 chooses the most relevant research method for the investigation of a management problem or social question and substantiates this choice.

5.4 assesses the consequences of a selected methodology for the reliability and validity of the results, and takes these into account when drawing conclusions and proposing solutions.

5.5 applies advanced methods and techniques for the acquisition, analysis, and interpretation of data independently, using the preferred supportive software.

5.6 synthesizes research results acquired on the basis of a critical analysis (and integration) of information from relevant sources and data, and substantiates solutions for a complex management problem or social question.

7.1 takes on a diplomatic and honest position and can reach an agreement that takes into account the interest of all parties involved through negotiation and mediation. 

7.2 discusses the social, ethic and sustainability aspects of management, analyses a policy on the basis of these aspects and formulates suggestions for improvement. 

7.3 takes initiative, is flexible, shows responsibility and can work independently in complex and unpredictable contexts. 

7.4 is able to utilize his/her acquired knowledge and his/her ability to think analytically, synthetically, abstractly and/or creatively in a flexible and authentic way in specific and/or complex situations. 

7.5 is critical and not afraid to question himself/herself and his/her environment. 

9.1 informs experts and laymen correctly and structurally on his/her general and/or specialised knowledge, both in speaking and writing.

9.2 chooses and uses the appropriate communication channels and means and adjusts both the communication content and style to the audience and the communication goal. 

9.3 communicates convincingly, shortly and concisely his/her vision and actions in different contexts and accounts for his/her choices, both in speaking and writing. 

9.4 substantiates clearly and convincingly.

9.5 is aware that communication is a two-way street, asks for and anticipates input or feedback of the supervisor(s), listener(s) or reader(s). 

10.3 (IB) detects and assesses the opportunities of rapidly evolving digital technologies and how they impact international business analyses and decision-making.

11.1 is aware of the rapidly evolving knowledge society that he/she will enter and therefore understands the need for maintenance and improvement of acquired knowledge, skills and competences and acquisition of new knowledge, skills and competences. 

11.2 is willing to improve his/her knowledge, skills and competences in order to shape his/her life professionally, personally, socially and civilly. 

11.3 actively looks for opportunities to broaden and deepen his/her knowledge, skills and competences, in order to anticipate the (evolving) requirements of the work environment.

More information

 Upon completion of this course, the student is able to:

• understand the concepts of explorative data mining, artificial intelligence, supervised and unsupervised machine learning, and business analytics.
• formulate strategies to convert unstructured data into relevant information that is useful for businesses
• select and understand various types of machine learning models to build intelligent solutions
• detect opportunities to discover knowledge from large amounts of data (knowledge discovery).
• implement, run and evaluate data mining experiments.
• evaluate and discuss the application of business model analytics in real life situations.

Previous knowledge

Students must have a thorough understanding of inferential statistics and information management.

Is included in these courses of study

• Master of Business Administration (Antwerp) 60 ects.
• Master of Business Administration (Antwerp) (Track: International Business) 60 ects.
• Courses for Exchange Students Faculty of Economics and Business (Antwerp)