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 MMUCA303-MMUCB303-MMUCC303
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA303-MMMCB303-MMMCC303
ECTS 3.00
Delivery mode On campus
Lecture Hours 18.00
Personal work hours 42.00
Teaching Language English
Pedagogical objectives
By 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
- work effectively in a group
Prerequisite
- General knowledge of personal computers
- Excel (intermediate)
- Programming (beginner)
Code MMUCA307 - MMUCB307- MMUCC307
ECTS 5.00
Delivery mode On campus
Lecture Hours 30.00
Code MMMCA307-MMMCB307-MMMCC308
ECTS 3.00
Delivery mode On campus
Lecture Hours 18.00
Personal work hours 42.00
Teaching Language English
Pedagogical objectives
On completion of this course, students should be able to:
- Be familiar with time-series analysis
- Develop and implement an econometric model to test an economic hypothesis (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
- Work effectively in a group
Prerequisite
Advanced knowledge in finance theory and intermediate knowledge in econometrics.
Code MMMCA308-MMMCB308-MMMCC309
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:
- identify data quality issues in a dataset and implement appropriate data-cleaning procedures;
- conduct an exploratory data analysis (EDA) to summarize the main characteristics of a dataset;
- use Pandas to prepare and transform data for statistical analysis;
- estimate and interpret simple statistical models using a standard Python library;
- synthesize information and present the results in a written form.
Prerequisite
Laptop or access to university computers.
Basic understanding of math and logic.
Code MMUCC308
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
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 MMUCC408
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)
Code MMUCB404-MMUCC404
ECTS 4.00
Delivery mode On campus
Lecture Hours 24.00
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.
