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2017/2018  BA-BINMO2012U  Business and Data Analytics

English Title
Business and Data Analytics

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Start time of the course Spring
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BA in Information Management
Course coordinator
  • Matthias Trier - DIGI
  • Signe Dyrby - DIGI
Main academic disciplines
  • Management
  • Organization
Last updated on 29-05-2017

Relevant links

Learning objectives
To achieve the grade 12, students should meet the following learning objectives with no or only minor mistakes or errors:
  • Describe, compare and select techniques and tools for business and data analytics
  • analyze example datasets of quantitative business data
  • visualize example data to support business decision making
  • critically reflect on issues of quantifying business decisions
  • apply techniques and tools to practical cases
  • assess and criticize the scope of techniques and tools as well as their relevance for practice
Business and Data Analytics:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Duration Written product to be submitted on specified date and time.
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Spring
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

Participants of the course will report on their analysis of a case dataset with the objective to elicit valuable insights from raw data that can prepare data-driven decisions at a management level. The approach and the results are documented as a project report and are submitted before or at the specified deadline.

Course content and structure

Taking the perspective of an information manager, this course aims to provide students with the ability to use techniques and tools of data analytics that are relevant for the modern data-driven organization and its management. This involves approaches to manipulate and analyse quantitative business data, relating to fields such as employee analytics, operation analytics, or consumer analytics, using example datasets and software tools. Related to the analysis, the course also addresses relevant formats and structures of data repositories, such as tables, files and databases, as well as common meta-data and data exchange standards. We address options and challenges with the visualization of data and the related question of how to communicate results. Further topics include: issues of making decisions based on a reduced, quantified view on the business context and reflect on the future challenges of a (big-) data driven business.

Teaching methods
Based on the principles of student-centred learning, the learning methods will be a mix of interactive lectures, practical computer-based analysis work, as well as group and class discussions.
Feedback during the teaching period
The students will receive feedback on their project work in workshops during the course. They can further inquire with the teacher to get feedback about their exam results.
Student workload
Lectures 24 hours
Workshops 6 hours
Preparation for Classes 90 hours
Project Work 70 hours
Exam 16 hours
Total 206 hours
Last updated on 29-05-2017