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2025/2026  KAN-CIHCO2007U  Managerial Statistics for Innovation

English Title
Managerial Statistics for Innovation

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory (also offered as elective)
Level Full Degree Master
Duration One Quarter
Start time of the course First Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Max. participants 45
Study board
Study Board of Markets & Innovation
Course coordinator
  • H.C. Kongsted - Department of Strategy and Innovation (SI)
Main academic disciplines
  • Innovation
  • Statistics and quantitative methods
  • Strategy
Teaching methods
  • Face-to-face teaching
Last updated on 20-12-2024

Relevant links
Learning objectives
The course will aim at establishing a proper correspondance between the research question being asked, the data available or collected to investigate that particular problem, and the statistical methods applied for the analysis.
  • Understand the theoretical foundations of descriptive statistics
  • Understand the theoretical foundations of inferential statistics
  • Apply in practice descriptive statistics using real data
  • Apply in practice inferential statistics using real data
Course prerequisites
No strict prerequisites. It would be ideal to have some familiarity with basic statistics.

This is a mandatory course for the MSc in Business Administration and Innovation in Health Care.

To sign up send a 1-page motivational letter and a grade transcript to pda.stu@cbs.dk before the registration deadline for elective courses. You may find the registration deadlines on my.cbs.dk ( https:/​/​studentcbs.sharepoint.com/​sites/​ChoicesAndOptions/​SitePages/​en/​Registration-for-electives.aspx )

Please also remember to sign up through the online registration.
Examination
Managerial Statistics for Innovation:
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-point grading scale
Examiner(s) One internal examiner
Exam period Winter
Aids Limited aids, see the list below:
The student is allowed to bring
  • USB key for uploading of notes, books and compendiums in a non-executable format (no applications, application fragments, IT tools etc.)
  • Any calculator
  • In Paper format: Books (including translation dictionaries), compendiums and notes
The student will have access to
  • Access to Canvas
  • Access to the personal drive (S-drive) on CBS´ network
  • Advanced IT application package
Make-up exam/re-exam
Same examination form as the ordinary exam
The number of registered candidates for the make-up examination/re-take examination may warrant that it most appropriately be held as an oral examination. The programme office will inform the students if the make-up examination/re-take examination instead is held as an oral examination including a second examiner or external examiner.
If the number of registered candidates for the make-up examination/re-take examination warrants that it is most appropriately held as a 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 will be based on a real-life problem. Students are asked to analyze one or more research questions using statistical methods. The analysis will be based on a data set distributed with the assignment. The assignment will ask students to apply the appropriate statistical techniques learned during the course to address the research questions and to provide statistical and economical/managerial considerations on the results of their analysis.

 

 
Course content, structure and pedagogical approach

The course will cover the basics of managerial statistics in order to provide the attendants with a solid basis on both descriptive and inferential statistics and build both a theoretical foundation and a practical knowledge about how to implement statistics in real analytical situations. The first part of the course will be focused on Descriptive Statistics, which will be based on the following main questions:

 

  • How are data best described? Which type of data are we typically confronted with?
  • How do we define a variable?
  • What is a sample? What is the difference between sample and population?
  • What are the central tendency characteristics of a variable?
  • How can we describe the dispersion of a variable? And the shape of its distribution?

 

In the second part of the course, attendants will be introduced to foundations of Inferential Statistics, thus dealing with the following questions:

 

  • What is an estimator?
  • What is the difference between two groups? How to assess it?
  • What is the relationship between two or more variables?
  • How do we create predictions?
  • How do we pick the correct estimator to predict our effect?

 

IIn terms of methods, the attendants will learn about foundations of statistics, in particular: descriptive statistics (i.e. summary statistics and graphical tools), hypothesis testing (t-test of means, differences in groups’ distributions, etc.), correlations, simple linear regression, and multiple regression analysis. Emphasis will be placed on interpretations of the statistics and applicability. 
Research-based teaching
CBS’ programmes and teaching are research-based. The following types of research-based knowledge and research-like activities are included in this course:
Research-based knowledge
  • Classic and basic theory
  • Teacher’s own research
  • Methodology
  • Models
Research-like activities
  • Analysis
  • Discussion, critical reflection, modelling
Description of the teaching methods
The course aims to strike a balance between statistical theory and practice. An important part of the learning process is establishing a proper data-analytical strategy. Students are invited to provide their own examples from a healthcare context to be discussed in class.

The statistical theory will be discussed in the lectures to make attendants aware about the necessary understanding of each statistics topic to be eventually able to build and evaluate the analytical strategy suitable for a particular problem. The practice will be delivered in the lectures and the workshops to train the attendants to the day-by-day challenges of data analysis.

Ideally a lecture will have the following components:

• Delivery of the theory about a specific statistics topic.
• Acquisition of the analytical tool and individual practice in class guided by the
faculty
• Group exercise using real-life database

The workshops are sessions in which students work under guidance to solve an assignment based on a real-life data set. Students will be introduced to STATA (12.0 version or more recent), which is the software of reference for this course. Attendants will be instructed on the useful commands throughout the development of the course. They are expected to familiarize themselves with basic ability in this software, such as uploading a file, saving a DO and DTA file, and similar basic commands. MS Excel will be also used, in particular at the beginning of the seminar for the Descriptive Statistics section.
Feedback during the teaching period
There will be regular office hours throughout the course in which attendants will have the opportunity to get feedback on their learning from the course lecturer. The students will have the opportunity to get feedback on their learning of the hands-on application of statistical methods during the workshop sessions.
Student workload
Lecture confrontation hours (12 sessions) 36 hours
Reading hours 108 hours
Workshops (6 sessions) 18 hours
Exam preparation 45 hours
Further Information
  • Highly interactive course in class
  • Sessions are a mix of frontal teaching, class case discussion, small groups exercise.
  • Examination is about reviewing main theoretical aspects and applying concepts discussed in class to a particular real-life problem.
  • Group work is relevant to the learning experience.
Expected literature

There is no a specific list of reference to use or requested or expected. Yet, suggested materials are (the most recent a version is, the better):

  • Berenson et al. Basic Statistics for Business, Pearson
  • Wooldridge, Introductory Econometrics: A modern approach, South-Western
Last updated on 20-12-2024