Course

BUS337 Applications of Business Analytics

Credits (ECTS):5

Course responsible:Jens Bengtsson

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Course frequency:Annually, first time autumn 2024

Nominal workload:125 hours

Teaching and exam period:This course has teaching/evaluation in autumn parallel. First time autumn 2024.

About this course

This course focuses on applications of Business Analytics. You will apply the different methods and skills that you have gained earlier in the master studies on different projects. You will work with the entire analytics process including formulating a business problem as an analytics problem, deciding what data is needed, locating, and obtaining the data, determining what data preparations are needed for the analysis, and conduct the analysis. You will practice this by working on projects from different fields of application. You will also practice creating data visualizations and presenting insights from the analysis.

Learning outcome

Knowledge

Upon completing the course, students will:

  • Have in-depth knowledge of how Business Analytics can be applied to business problems.
  • Have in-depth knowledge of relevant methods from the research literature applied to the chosen problem.
  • Have in-depth knowledge of Business Analytics as a foundation for selecting appropriate methods, understanding model limitations, and evaluating the quality of analytical results.

Skills

Upon completing the course, students will be able to:

  • Formulate business problems as analytical problems and explain their significance.
  • Identify and use relevant data sources, and structure and organize data.
  • Propose, discuss, and implement analytical approaches to solving problems.
  • Conduct analyses that address the project’s problem and critically assess data and results.
  • Communicate insights from the analysis clearly, both orally and in writing, and through appropriate data visualization.

General competence

Upon completing the course, students will be able to:

  • Apply creative, critical, and reflective thinking to address organizational opportunities and challenges in an increasingly digital and sustainable society.
  • Communicate with both specialists and non-specialists on key topics in Business Analytics.
  • Develop ethical awareness and assess social responsibility in analytical projects.
  • Learning activities
    Lectures, seminars, and supervision of projects
  • Teaching support
    The main lecturer is available through e-mail and phone, and for office visits by appointment, throughout the whole semester. There will also be several digital Q&A-sessions where students can attend and ask questions to the lecturer.
  • Prerequisites

    BUS336 Optimization for Business Analytics or BUS230 Operations Research, or equivalent.

    INF120 Programming and Data Processing and DAT200 Applied Machine Learning, or equivalent.

  • Assessment method

    Portfolio Assessment: Two assignments (groups of 1-2 people) during the semester and an oral presentation (groups of 1-2 people) towards the end of the teaching period. In order to pass the course, the student must have passed both written assignments and the oral presentation.

    There will be no resit exam for this course. Those who do not pass the course must retake the entire course the next time it is offered.



    Portfolio Karakterregel: Passed / Not Passed
  • Examiner scheme
    External examiner will control the quality of syllabus, exam questions, and principles for the assessment of the examination answers.
  • Mandatory activity
    None.
  • Teaching hours
    2 hours lectures per week.
  • Admission requirements
    The course is intended for students enrolled in master programmes at NMBU. It is also open for exchange students and other students with sufficient prior knowledge.