Data Science & Intelligent Analytics PT
Apply Icon
Apply
now

Data Science for Business & Commerce

level of course unit

Master's course

Learning outcomes of course unit

The following skills are developed in the course:

- Students know the basic application areas of data collection, data storage, data analysis and data use in the context of business-related applications.
- Students understand the special challenges of this field of application and are familiar with established best practice methods in this area.
- Students are also able to design and implement data-based applications in this area themselves, taking into account domain-specific requirements.

prerequisites and co-requisites

3rd semester: No prerequisites

course contents

The following content is discussed in the course:

- CRM on the strategic level
- CRM in process management
- CRM on the operative level (CRM software systems)
- Operative CRM
- Analytical CRM
- Communicative CRM

This course is offered as an elective course together with the Master's Course in Web Communication and Information Systems.

recommended or required reading

PRIMARY LITERATURE:
- Cady, F. (2017): The Data Science Handbook (Ed. 2), Wiley, Hoboken (ISBN: 978-1119092940)

SECONDARY LITERATURE:
- Meier, A.; Stormer, H. (2012): eBusiness and eCommerce: Management der digitalen Wertschöpfungskette (Ed. 3), Springer, Berlin (ISBN: 978-3-642-29801-1)

assessment methods and criteria

Seminar thesis

language of instruction

English

number of ECTS credits allocated

4

eLearning quota in percent

30

course-hours-per-week (chw)

1.75

planned learning activities and teaching methods

The following methods are used:

- Lecture with discussion
- Interactive workshop
- Case studies

semester/trimester when the course unit is delivered

3

name of lecturer(s)

Prof. (FH) Dipl.-Informatiker Karsten Böhm

course unit code

MDS.5

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

none