Competence field 1: Competency in one or more scientific disciplines
  1. An advanced understanding of the business economic theories and applying them critically and effectively in using complex operational, financial and marketing decision models.
  2. Executing, analyzing and interpreting simulations and sensitivity analyses for complex operational, financial and marketing decision models.
  3. Insight in the management of information and decision support systems and integrating them in a business environment.
  4. An attitude of applying the basic sciences (mathematics, statistics and information science) for solving business economic problems in an autonomous and critical way.
  5. Understanding of recent developments and future evolutions of the business economic and technical disciplines with respect to operational, financial and marketing problems.
Competence field 2: Scientific competency
  1. Effectively selecting, developing and validating methods and techniques in order to identify and model complex operational, financial and marketing problems.
  2. Analyzing complex operational, financial and marketing problems and identifying research questions for solving these problems.
  3. Carrying out a literature research of the scientific international literature and using these sources in a creative way.
  4. Interpreting results of one’s own research in a nuanced way and representing them in a scientifically correct way.
  5. Relating the results of one’s own research to the scientific literature.
  6. Choosing autonomously for a correct level of abstraction in the modelling of complex operational, financial and marketing problems.
  7. Behaving conform to the ethical standards in a systemic way.
Competence field 3: Intellectual competency
  1. Analysing complex operational, financial and marketing problems with a high degree of autonomy and solving these using integrated decision support models and systems.
  2. Identifying, analyzing and integrating different levels of abstraction in an autonomous and effective manner in the design of decision support models and systems.
  3. Developing a personal standpoint with respect to complex operational, financial and marketing problems on the basis of results of decision support models and systems.
  4. Validating model solution outcomes in a critical manner in the perspective of the assumptions.
  5. Reflecting critically on one’s own thinking and acting, and understanding and autonomously extending the boundaries of one’s own competences.
  6. Following the evolutions within the discipline closely and integrating them in a flexible way in the acquired theories and principles.
  7. Integrating multiple perspectives and making a trade-off between different solutions for complex operational, financial and marketing problems.
Competence field 4: Competency in collaborating and communicating
  1. Reporting professionally in writing on complex operational, financial and marketing problems and their solutions.
  2. Reporting professionally and orally on complex operational, financial and marketing problems and their solutions.
  3. Project-based working in a team on a business economic research question in a multidisciplinary environment starting out from various roles with conflicting interests.
  4. Communicating in English.
Competence field 5: Social competency
  1. Apprenticing social and ethical aspects.
  2. Understanding social and ethical consequences of decision support models and systems.
Competence field 6: Profession-specific competency (optional)
  1. A thorough insight in the logistic and information processes of a business economic value chain.
  2. Relating the different functional domains of an organization and integrating them in the value chain.
  3. Apprenticing the environment, quality, safety and corporate social responsibility.
  4. Managing the complexity of operational, financial and marketing processes by using decision support systems.
  5. Understanding the impact of the technological knowledge society on the business economic value chain.