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2020/2021  DIP-DSAMO1006U  Business Project

English Title
Business Project

Course information

Language English
Course ECTS 5 ECTS
Type Mandatory
Level Graduate Diploma
Duration One Semester
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for Graduate Diploma in Business Administration (part 2)
Course coordinator
  • Edlira Shehu - Department of Marketing (Marketing)
Main academic disciplines
  • Marketing
  • Methodology and philosophy of science
  • Statistics and quantitative methods
Teaching methods
  • Blended learning
Last updated on 04-06-2020

Relevant links

Learning objectives
After successfully completing this course, participants will:
  • be able to understand opportunities and limitations of business analytics for marketing and sales;
  • have an overview of different data types, and tools for data analysis;
  • develop an understanding of the subtleties of working with data and applying statistical methods;
  • learn how to figure out how to use data and analytics to help inform the solution to a specific problem;
  • be able to apply statistical approaches for data analysis;
  • be able to interpret model results and what questions you should be asking before you use the results to make business decisions;
  • develop the capability to communicate insights from the analysis to the various stakeholders.
Course prerequisites
Before taking the course, participants need to have basic understanding of different data types, experience in data analysis (e.g., reporting) and basic statistical knowledge.
Business Project:
Exam ECTS 5
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance.
Individual or group exam Individual oral exam based on written group product
Number of people in the group 2-5
Size of written product Max. 5 pages
Assignment type Report
Written product to be submitted on specified date and time.
20 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale 7-point grading scale
Examiner(s) Internal examiner and external examiner
Exam period Summer and Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
Course content, structure and pedagogical approach

This course introduces students to marketing and business analytics. The main objective is to provide students with the foundations needed to apply data analytics to real-world challenges they confront daily in their professional sales and marketing lives.


Students will learn to identify pros and cons of different analytical tools for their specific needs; have an overview of different types of data; understand valid and reliable ways to collect, analyze, and visualize data; apply statistical models (e.g., regression analyses), and utilize data in decision making for their organizations on sales and marketing issues.


Sales and marketing investments are ex-ante - in the future - and it is paramount to equip students with a ability to make predictions based on data from the past with the objective to improve the effectiveness of their decisions, of the investments they make in their respective organizations. 


With this course, we integrate the five previous courses and prepare students for the "practical seminar" course mandatory for all students before the final dissertation work.


Description of the teaching methods
The course builds on three different perspectives:

1. Techer-centered learning: the instructor presents relevant content (e.g., videos) on data analysis methods. Participants test their knowledge through online test (quizzes)

2. Learning-by-doing: Participants are encouraged to bring their own data, and use it and use it to learn through practical application of different methods. By this, they can enhance their understanding through activities related to their everyday business context.

3. Learning through social interactions and group work. Participants will interact and discuss with their peers in the discussion forum. In addition, participants will evaluate and get feedback form peers in one compulsory Peergrade case study.
Feedback during the teaching period
During the teaching period, there will be two individual supervision sessions related to the final project. In addition, students will give and receive feedback to/from their peers in a Peergrade case study.
Student workload
Class participation 27 hours
Preparing for class 110 hours
Exam 1 hours
Exam preparation 15 hours
Last updated on 04-06-2020