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2021/2022  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 26-03-2021

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.
  • 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 model that is better suited to solve the problem.
  • Identify the weaknesses and limits of their approach.
Examination
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. 10 pages
Assignment type Case based assignment
Duration 24 hours to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Winter and Winter, Ordinary exam: 27-28/11-2021

More information about the exam on my.cbs.dk
Make-up exam/re-exam
Same examination form as the ordinary exam
Retake exam: 15-16/01-2022
More information about the exam on my.cbs.dk
Description of the exam procedure

The exam consists of a number of questions encompassing the course curriculum, including the cases discussed.  
Course content, structure and pedagogical approach

Business Intelligence & Data Analytics delves into decision-making, thereby covering 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 methods to deal with these phenomena in an effective way. Lectures aims at framing the business and operations problem areas and then, concentrate on the discussion of practical dilemmas faced by managers. Teaching is practically oriented. The discussion of managerial issues allows students to acquire a better understanding of 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. Examples of management areas covered in the course include demand forecasting, inventory management, and supply chain coordination.

 

 
Description of the teaching methods
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 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 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, 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 at 17.05-19.45:  
 

Tuesday in week: 41,44,45, 46

Thursday in week:40, 41,44,45,46

 

There is no teaching in week 42 

 

For further information, please contact the Department of Operations Management 
Study Administrator: Pernille Nielsen pen.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 26-03-2021