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2024/2025 BA-BISHV1004U Shipping Business Analytics
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| Shipping Business Analytics |
Course information |
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| Language | English |
| Course ECTS | 7.5 ECTS |
| Type | Elective |
| Level | Bachelor |
| Duration | One Quarter |
| Start time of the course | First Quarter, Autumn, Autumn |
| Timetable | Course schedule will be posted at calendar.cbs.dk |
| Max. participants | 60 |
| Study board |
Study Board for BSc in International Shipping and
Trade
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| Teaching methods | |
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| Last updated on 29-05-2024 | |
Relevant links |
| Learning objectives | ||||||||||||||||||||||||
The overall aim of this course is to develop the
students’ business analytics skills in order to support strategic
and operational decision-making in the shipping business. By the
end of the course, the student should be able to:
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| Course prerequisites | ||||||||||||||||||||||||
| The are no prerequisites. Fundamentals of the methodologies will be provided during the course. | ||||||||||||||||||||||||
| Examination | ||||||||||||||||||||||||
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| Description of activities | ||||||||||||||||||||||||
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Assignment(s):
Active participation is used as the exam format of this course.
Different from the traditional final exam at the end of the course,
the assessment is integrated into the learning journey and
distributed through a series of structured learning activities and
assignments, supported by teacher’s continuous feedbacks. The goal
is to foster a proactive and engaging learning environment that
minimizes exam stress, enhances deep learning and prioritizes the
application of knowledge.
There will be 10 small assignments throughout the course in the form of group assignment and/or individual assignment. assignments will be released in class. |
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| Course content, structure and pedagogical approach | ||||||||||||||||||||||||
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The shipping industry faces many business challenges and significant decisions. While the abundance of data creates opportunities for business leaders to make better decisions, extracting value from business data is far from straightforward.
This course provides you with a solid understanding of how to turn data into valuable business insights and improve decision-making in shipping. The course focuses on deploying analytical methods to answer essential shipping business questions, including freight trading, pricing, revenue, chartering, investment and sustainability.
The course is ideal for students who want to advance their analytics skills, and more importantly, to apply different methods to collect and analyze data to inform business decisions. Examples, cases, and real data in the shipping industry will be used throughout the course, but the analytical approaches can be applied in a broader context. Upon completion of the course, students will be well prepared for the analytic role in the shipping-related industry or further academic studies in related disciplines. The following topics are covered:
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| Description of the teaching methods | ||||||||||||||||||||||||
| Active participation is used as the exam format
of this course. Different from the traditional final exam at the
end of the course, the assessment is integrated into the learning
journey and distributed through a series of structured learning
activities and assignments, supported by teacher’s continuous
feedbacks. The goal is to foster a proactive and engaging learning
environment that minimizes exam stress, enhances deep learning and
prioritizes the application of knowledge.
The course is thus different in its structure and exam format than other courses. Students should expect workload (i.e. assignments) between most of the classes. Correspondingly, there will be NO final exam at the end of the course. Students will be evaluated based on 1) whether the student has been actively engaged in the learning activities and complete the assignments; and 2) whether the learning objectives have been satisfactorily fulfilled by the end of the course. |
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| Feedback during the teaching period | ||||||||||||||||||||||||
| Students will receive feedback continuously through the course on their hands-on exercises, case discussions and group presentations in the class. Teachers will also be available during office hours to give feedback or answer questions from students. | ||||||||||||||||||||||||
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| Expected literature | ||||||||||||||||||||||||
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The following is a tentative list of readings. The expected literature can be subject to changes before the start of the semester. The final reading list can be found in Canvas two weeks before the course starts.
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Last updated on
29-05-2024