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2022/2023  BA-BISHV1004U  Shipping Business Analytics

English Title
Shipping Business Analytics

Course information
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
Course coordinator
  • Liping Jiang - Department of Operations Management (OM)
Main academic disciplines
  • Globalisation and international business
  • Statistics and quantitative methods
  • Economics
Teaching methods
  • Face-to-face teaching
Last updated on 11-02-2022

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 decisions in the shipping business. By the end of the course, the student should be able to:
  • Describe the role of data-driven analytics in supporting shipping business
  • Collect, describe and visualize the data appropriately
  • Apply the appropriate analytical tools and approaches in shipping business context
  • Derive meaningful insights based on results and support decision-makings
  • Reflect on how to make business decisions in face of uncertainty
Course prerequisites
The course assumes familiarity with the basics of statistics and regression analysis.
Examination
Shipping Business Analytics:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 15 pages
Assignment type Written assignment
Duration 72 hours to prepare
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Autumn and Autumn
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the program office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Course content, structure and pedagogical approach

The shipping industry faces many business challenges and significant decisions, while the abundance of data creates opportunities for business leaders to make better decisions. The challenge is that interpreting data, deriving meaningful insights and then making better decisions is far from straightforward.

 

This course is structured in a framework that includes business challenges, data, analytics and business decisions. It covers a number of concepts and approaches related to essential shipping businesses, including trading, pricing, revenue, chartering, investment and sustainability.

 

The course is ideal for students who want to advance their analytics skills, and more importantly, to deepen their understanding of how to use analytics for better decision-making. Examples, cases and data in the shipping industry will be used throughout the course, but the analytical approaches can be applied in broader context. Upon completion of the course, students will be well prepared for analytic role in shipping-related industry or further academic studies in related disciplines. More specifically, the course covers the following topics:

 

  • Data-driven decision makings in shipping
  • Freight rate determinants in tramp shipping
  • Freight rate forecasting
  • Pricing and revenue management in liner shipping
  • Chartering business and voyage estimation
  • Strategic chartering decisions
  • Shipping asset investment
  • Investment appraisal methods
  • Ship choice decisions
  • Green ship investment decisions
  • Costs and benefits of sustainability measures
  • Big data applications in shipping

 
Description of the teaching methods
The course has a practical and hands-on approach. It offers a mixture of student-centered learning, face-to-face lectures, hands-on exercise in the class, case-based in-class discussions, group presentations and online activities.
Feedback during the teaching period
The course will include extensive feedback on the hands-on components. 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.
Student workload
Lectures 38 hours
Preparation 164 hours
Exam 72 hours
Expected literature

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.  

 

  • Panayides, P.M. (Eds.). The Routledge Handbook of Maritime Management. Routledge, Abingdon (UK), 2019.
  • Plomaritou, E. and Papadopoulos A. Shipbrokering and chartering practice (Eighth edition). Abingdon (UK), 2018
  • Kavussanos, Manolis G., Visvikis, I.D. (Eds.). The International Handbook of Shipping Finance: Theory and Practice. Palgrave Macmillan, London (UK), 2016
Last updated on 11-02-2022