Track Financial Markets and Risk Evaluation - M2

Code MMMCA301-MMMCB301

Delivery mode On campus

Lecture Hours 12.00

Teaching Language English

Pedagogical objectives

After this training, students should be able to:

- explain the main concepts of an ERP and discuss its opportunities and challenges

- describe how typical business processes are supported in SAP ERP

- understand integration between components

- navigate in the SAP Fiori user interface of SAP S/4HANA
- execute transactions for different business processes

- use Stories in SAP Analytics Cloud
- synthesize information and present the results in a written form
- work effectively in team

Prerequisite

•  Basic knowledge in business processes   
•  Basic knowledge of personal computer

Code MMMCB303

ECTS 3.00

Delivery mode On campus

Lecture Hours 18.00

Teaching Language English

Pedagogical objectives

At the end of the course, students should be able to:

• Maintain an existing application through bug fixing, code cleanup, and feature developments
• Develop new applications using event-driven and object oriented programming techniques
• Enhance code quality through good coding practices
• Synthesize information and present the results in a written form.

Prerequisite

General knowledge of personal computers

Excel (intermediate)

Programming (beginner)

Code MMMCA302-MMMCB305-MMMCC302

ECTS 4.00

Delivery mode E-learning

Lecture Hours 24.00

Teaching Language English

Pedagogical objectives

By the end of the course, students should be able to:

- write a basic Python program;
- use versioning control software;
- read in and manipulate structured data using dedicated libraries;
- create some basic models and algorithms in a structured and documented way;
- synthesize information and present the results in a written form.

Code MMUCA304-MMUCB304-MMUCC304

ECTS 2.50

Delivery mode On campus

Lecture Hours 15.00

Teaching Language English

Pedagogical objectives

On completion of this course, students should be able to:

• Be familiar with the econometrics techniques used in financial analysis (e.g. event studies, differences- in-differences, time series analysis, panel data analysis)
• Develop an econometric model to test an economic hypothesis
• Implement such an econometric model using standard econometric software (e.g. identify the data, create variables, apply econometric techniques)
• Interpret the outcomes of empirical analyses
• Present the results of the empirical analysis in a professional manner.

Prerequisite

Intermediate knowledge in finance theory and in econometrics.