Courses Master Display 2020-2021

Course Description To PDF
Course title Data Analytics (Accounting/Finance/Strategy)
Course code EBC4263
ECTS credits 6,5
Assessment Whole/Half Grades
Period
Period Start End Mon Tue Wed Thu Fri
1 31-8-2020 16-10-2020 X X
4 1-2-2021 26-3-2021 X X
Level no level
Coordinator Gerard Pfann
For more information: g.pfann@maastrichtuniversity.nl
Language of instruction English
Goals
Description
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS. PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. THE INFORMATION PROVIDED HERE IS BASED ON THE COURSE SETUP PRIOR TO THE CORONAVIRUS CRISIS. AS A CONSEQUENCE OF THE CRISIS, COURSE COORDINATORS MAY BE FORCED TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.

It is essential in today’s digital and global business world to acquire an in-depth understanding and knowledge of data analytics methods. Analytical skills are critical in providing relevant, accurate and timely information for decision making in a dynamic and global business environment. In order to provide participants with the necessary data analytical skills, we introduce them to relevant data analytical methods, show them how to apply these methods, how to interpret their findings, and present and communicate these findings. After providing an introduction to data analytics, we will focus on core data analytical techniques such as ANOVA and regression analysis. We will then extend the participants’ knowledge and insights by covering more advanced data analytics, such as factor analysis and structural equation modelling, limited dependent variables, time series analysis and panel analysis. We will use R as the analysis platform for this course. R is open source, and allows the application of a wide variety of data analytics on the same platform.
Literature
Prerequisites
Keywords
Teaching methods (indicative; course manual is definitive)
Assessment methods (indicative; course manual is definitive)
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research - No specialisation Year 1 Disc - IB Acc. and Bus. Inf. Tech.
Master Business Research - No specialisation Year 1 Disc - IB Accounting and Control
Master Business Research - No specialisation Year 1 Disc - IB Mng. Decision-Making and Control
Master Business Research - No specialisation Year 1 Disc - IB Strategic Corporate Finance
Master Business Research - No specialisation Year 1 Disc - IB Strategy and Innovation
Master Business Research - No specialisation Year 1 Disc - IB Sustainable Finance
Master Human Decision Science Elective Course(s)
Master International Business - Accounting and Business Information Technology Compulsory Course(s)
Master International Business - Managerial Decision-Making and Control Compulsory Course(s)
Master International Business - Accounting & Control (parttime/NL) Compulsory Course(s)
Master International Business - Strategic Corporate Finance Compulsory Course(s)
Master International Business - Strategy and Innovation Compulsory Course(s)
Master International Business - Sustainable Finance Compulsory Course(s)