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2022/2023  DIP-DHDVV7005U  Business Intelligence & Data Analytics

English Title
Business Intelligence & Data Analytics

Course information

Language English
Course ECTS 5 ECTS
Type Elective
Level Graduate Diploma
Duration One Semester
Start time of the course Autumn
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 50
Study board
Study Board for Graduate Diploma in Business Administration (part 2)
Course coordinator
  • Leonardo Santiago - Department of Operations Management (OM)
Study administration for GD SCM: HDSCM@cbs.dk
Main academic disciplines
  • Management
  • Statistics and quantitative methods
  • Supply chain management and logistics
Teaching methods
  • Blended learning
Last updated on 23-03-2022

Relevant links

Learning objectives
  • Reflect upon the role of Business Intelligence and Data Analytics on different organizations and business contexts.
  • Undertake analysis and present general and/or specific solutions, based on the course program.
  • Evaluate possible alternative solutions for the problem under consideration and argue for the selection of the approach that is better suited to solve the problem.
  • Identify the strengths and weaknesses of solution approaches.
Business Intelligence and Data Analytics:
Exam ECTS 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 Written product to be submitted on specified date and time.
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter and Winter, Ordinary exam: Case hand out 19 November 2022. Case hand in 29 November 2022.
More information about the exam on my.cbs.dk
Make-up exam/re-exam
Same examination form as the ordinary exam
Retake exam: Case hand out 7 January 2023. Case hand in 17 January 2023.

More information about the re-take exam on my.cbs.dk
Course content, structure and pedagogical approach

Business Intelligence & Data Analytics delves into decision-making, thereby discussing business analytics, as well as predictive and learning approaches. The students will receive knowledge about phenomena related to business intelligence & data intelligence, and the necessary skills that help them to appraise business approaches to deal with these phenomena in an effective way. The course is structured in 3 interconnected modules, namely (i) Business Analytics, (ii) Artificial Intelligence, Machine Learning & Predictive Approaches, and (iii) Business Intelligence and Data Analytics. The modules are structured in a way to ensure course progression. The curriculum covered on each lectured will be used as a background for the subsequent ones. The modules cannot be seen as stand-alone pieces. Lectures aims at framing the business and operations problem areas and then, concentrate on the discussion of practical dilemmas faced by managers. Examples of management areas covered in the course include demand forecasting, inventory management, and supply chain coordination.



Description of the teaching methods
The teaching method is centered on a dialogue that will allow students to grasp the business and operations problem under consideration and, at the same time, discuss practical dilemmas faced by managers. The discussion of managerial issues allows students to acquire a better understanding on the type of data needed to reach a solution for the problem and argue for the selection of a suitable approach to tackle it. 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, management problems 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 managerial issues and problems, and assignments to be presented in class.
Feedback during the teaching period
Feedback will be offered during the course in three distinct ways. First, students will get feedback during the lectures in the form of interaction with the teacher if any question arises. During some sessions, there will be short workshops to discuss some management issues. At these workshops, students will receive one on one feedback on their individual inquiry (on demand). That is to say, during the workshops, students can request instructors to clarify their specific questions on the assignment and on the curriculum, in order to provide recommendations to the managerial dilemma that are to be addressed on that session. Third, also during the workshops, the instructor will provide summative feedback to the class by addressing the challenges perceived during the one on one interaction. It is expected that students actively participate in lectures and workshops. Additional individual feedback can be obtained during the office hours.
Student workload
Lectures - on campus 21 hours
Lectures - on line: pre-recorded and live 5 hours
Preparation for lectures, exam preparation, and exam 112 hours
Further Information

The course consists of a total of 26 lessons (5 ECTS).

Teaching is:


Thursday week 40 from 18.05 - 20.40.

Tuesday week 41 from 18.05 - 20.40

Thursday week 41 from 17.10 - 18.50
Saturday in week 44,45, 46 from 09.50 - 15.10

There is no teaching in week 42 


For further information, please contact the Department of Operations Management 
Study Administrator: Gitte Østergaard goe.om@cbs.dk
Course responsible: Leonardo Santiago ls.om@cbs.dk

Expected literature

The expected literature will be announced during  the course.

Last updated on 23-03-2022