60 ECTS
35913
270h
Semester 3
Code MMUCA301-MMUCB301-MMUCC301
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- apply consumption-based asset pricing models to assess risk premia
- explain the market efficiency hypothesis and its empirical validity
- discuss the use and role of factor models
- apply asset pricing models to evaluate investment performance
- compute the value of fixed income instruments
- choose the right fixed income instrument according to a financial objective
Prerequisite
- Basic knowledge of: standard financial instruments (bonds, forward contracts, options
- Minimum preparation in: mathematics, statistics and econometrics
- An introductory course of Asset Pricing is a plus
Code MMUCA302-MMUCB302-MMUCC302
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- apply standard conceptual frameworks used in finance to major corporate events (like e.g. IPOs, M&A, dividend distribution, corporate governance decisions, early stage fund raising,...)
- evaluate the financial implications of corporate finance events
- identify the ethical issues at stake for corporations
- appreciate the role of corporate governance
- provide concise summaries of complex cases in both written and oral form
- work effectively in a group
Prerequisite
- Foundations on corporate finance theory (Modigliani-Miller, trade-off theory, agency issues, asymmetric information and financial decisions)
- Basics of corporate valuation and accounting (financial statements, valuation methods: DCFs, multiples, cost of capital)
Code MMUCC303
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA302-MMMCB305-MMMCC302
ECTS 2.50
Delivery mode E-learning
Lecture Hours 15.00
Personal work hours 35.00
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.
Prerequisite
- Laptop or access to university computers.
- Basic understanding of math and logic.
Code MMMCC301
ECTS 2.00
Delivery mode On campus
Lecture Hours 12.00
Personal work hours 28.00
Teaching Language English
Pedagogical objectives
By the end of the course, 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 financial and management accounting
- Basic knowledge in information technology
Code MMUCA307 - MMUCB307- MMUCC307
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA302-MMMCB305-MMMCC302
ECTS 2.50
Delivery mode E-learning
Lecture Hours 15.00
Personal work hours 35.00
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.
Prerequisite
- Laptop or access to university computers.
- Basic understanding of math and logic.
Code MMUCA304-MMUCB304-MMUCC304
ECTS 2.50
Delivery mode On campus
Lecture Hours 15.00
Personal work hours 30.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- be familiar with the econometric 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 in an autonomous way the test of economic hypothesis using standard econometric software (i.e., 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
- work effectively in a group
Prerequisite
Intermediate knowledge in finance theory and in econometrics.
Code MMUCC306
ECTS 4.00
Delivery mode Blended
Lecture Hours 12.00
Personal work hours 68.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- articulate the mechanism behind the blockchain
- collect and analyze blockchain data
- assess applications of blockchain to financial services
- describe how peer-to-peer lending platforms work
- assess to what extent peer-to-peer lending complements traditional banking
- synthesize information and make focused presentation
Prerequisite
- A basic understanding of the financial services industry
- General knowledge of personal computers
- Excel (intermediate)
- Python (beginner)
Semester 4
Code MMUCA400-MMUCB400-MMUCC400
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Personal work hours 70.00
Teaching Language English
Pedagogical objectives
By the end of this course, students will be able to:
- describe the drivers of international trade and capital flows
- analyze the functioning of global financial markets (exchange rates, parity relations, international arbitrage)
- master the fundamental tools for international risk management
- work with economic models that underpin theories of intermediation and corporate finance
- understand the interactions between financial markets and financial decisions
- undertake a model-based analysis of financial decision-making by companies, investors and intermediaries
- apply ethical considerations to global issues
- provide concise summaries of complex cases in written form
Prerequisite
Basic knowledge of economic and finance theory
Code MMUCC402
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Personal work hours 56.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- extract useful information for business improvement from structured and unstructured huge datasets
- numerically evaluate a model
- manipulate huge financial databases
- write efficient codes for any empirical issue
- synthesize information and present the results in a written form
- work effectively in a group
Prerequisite
- Students should have followed a programming class, a statistics or econometrics course or its equivalent.
- Students must have their own laptops with the following softwares: R, Rstudio, Microsoft Machine Learning Server
Code MMUCC403
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Personal work hours 56.00
Teaching Language English
Pedagogical objectives
By the end of this course, students should be able to:
- describe the structure and master data in the financial components of SAP ERP
- execute transactions in Financial Accounting and Management Accounting
- explain some keys aspects in the configuration in Financial Accounting
- execute planning functions in Management Accounting
- describe SAP innovations in Finances
Prerequisite
- Basic knowledge in financial and management accounting
- Basic knowledge in SAP ERP
Code MMUCB404-MMUCC404
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
Code MMMCB401-MMMCC401
ECTS 2.00
Delivery mode On campus
Lecture Hours 12.00
Personal work hours 28.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- describe principles and characteristics of IFRS/IAS for consolidated financial statements
- evaluate differences between IFRS/IAS and GAAPs
- apply intricate IFRS/IAS requirements (e.g. IAS 12, IAS 21)
- execute consolidation of simple financial statements
- work effectively in a group
- provide concise summaries of complex cases in both written and oral form
Prerequisite
A first course in financial accounting and consolidated financial statements.
Code MMMCB402-MMMCC402
ECTS 2.00
Delivery mode On campus
Lecture Hours 12.00
Personal work hours 28.00
Teaching Language English
Pedagogical objectives
By the end of the course students should be able to:
- explain the principles and regulatory framework of financial and sustainability audit
- describe the audit procedures
- design the articulation of the audit phases: discuss the business of the company, define the audit strategy, assess internal control, execute substantive procedures, and conclude
- work effectively in a group
- provide concise summaries of complex cases in both written and oral form
Prerequisite
A first course in financial reporting and consolidated statements.
Code MMUCA405-MMUCC405
ECTS 4.00
Delivery mode Blended
Lecture Hours 24.00
Personal work hours 68.00
Teaching Language English
Pedagogical objectives
By the end of the course, students should be able to:
- leverage PyData ecosystem to program data science tasks efficiently
- perform data collection, exploration and preparation
- map practical problems to available ML approaches and methods
- implement an end-to-end ML pipeline and assess its performance
- apply ML to common financial use-cases
Prerequisite
- Personal laptop with wifi.
- Basic experience with any programming language.
- Basic understanding of math, logic and algorithms.
Code MMUCA406-MMUCB406-MMUCC406
ECTS 15.00
Delivery mode On campus
Teaching Language English
Pedagogical objectives
At the end of the internship, students should be able to:
- apply academic concepts in a practical situation in a professional environment
- expand content specific and technical skills
- reinforce the professional network
- respect and integrate the opinion of others
- synthesize information and make focused presentation
- apply ethical considerations to management decisions
Prerequisite
Students should have attended the M2 classes before starting the internship.