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2018/2019  KAN-CSCEO1820U  Business Analytics - Data Driven Operations

English Title
Business Analytics - Data Driven Operations

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Full Degree Master
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 75
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Leonardo Santiago - Department of Operations Management (OM)
Main academic disciplines
  • Management
  • Statistics and quantitative methods
  • Supply chain management and logistics
Teaching methods
  • Face-to-face teaching
Last updated on 21-06-2018

Relevant links

Learning objectives
  • Display a high level of command of the topics presented in the course by outlining the important issues and choosing the appropriate model in relation to the problem under consideration.
  • Solve the models and analyze the solutions.
  • Evaluate possible alternative solutions for the problem under consideration and argue for the selection of the model that is better suited to solve the problem.
  • Identify the weaknesses and limits of their approach.
Course prerequisites
To follow the course with proficiency it is suggested to have basic knowledge of linear programming and statistics. However the fundamentals of the methodologies will be provided shortly along the course.
Business Analytics - Data Driven Operations:
Exam ECTS 7,5
Examination form Written sit-in exam on CBS' computers
Individual or group exam Individual exam
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer
Aids Limited aids, see the list below:
The student is allowed to bring
  • Non-programmable, financial calculators: HP10bll+ or Texas BA II Plus
  • Books (including translation dictionaries), compendiums and notes in paper format
The student will have access to
  • Advanced IT application package
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 programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Description of the exam procedure

The exam consists of a number of exercises which need to be discussed and solved using excel. Exercises solved along the course together with the textbook, constitute the primary base for exam preparation.


Course content and structure

The course delves into operations management decision-making. The aim is to provide students with competences to develop solutions to relevant operations management problems, and thoroughly discuss their implications. Various aspects of operations management are considered and illustrated through a number of exercises.


The following areas of operations management are considered: network design, demand forecasting, aggregate planning, inventory management, and supply chain coordination.


The course explores operations management problems through a number of cases and exercises. Microsoft Excel is used as a solving tool. Note that throughout the course and in the exam we will be using Windows PC on CBS computers (Apple users need to work by themselves to adapt to the Windows PC environment).




Description of the teaching methods
The course follows a model building approach constituted of three steps: problem formulation, identification of quantitative relations, implementation and execution of the model in Excel. For each topic, a number of problems are solved in class, using Excel, and discussed. Teaching is practically oriented.

Lectures aims at framing the business and operations problem areas and then concentrate on exercises. Exercises allow students to acquire a better understanding on the type of data needed to reach a solution for the problem under consideration. Furthermore, the implications of the quality of data and how it impacts the solution of the problem at stake are thoroughly explored in classroom. Thus, exercises work as a mean to convey the theory, and to explore its implications and limits.

The teaching method assures students involvement and participation. This is achieved by the use of exercises and assignments to be presented in class.
Feedback during the teaching period
During lectures and exercises students interact with the teacher with respect to solving problems that are developed during the course.
Student workload
Preparation 129 hours
Lectures / exercises discussion 33 hours
Course overhead and exam preparation 40 hours
Examination 4 hours
Expected literature


  • Chopra, S. and Meindl, P., Supply Chain Management, Strategy, Planning & Operation, Pearson Prentice-Hall, (2016).


Additional material will be provided along the course.

Last updated on 21-06-2018