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During the 4th semester, Master of Finance, Master in Management and Master in Applied Data Science students complete two electives, giving them the opportunity to expand the depth of their Master programme and gain insights in addition to the primary topics.   
 

Advanced Mergers & Acquisitions

The course will cover the explanation of “Three Dimensional Analysis” and the creation of fully dynamic iterative and circular financial models in Excel, up to the advanced level used in the leading investment banks and private equity firms. Students will create a fully-fledged M&A model in Excel, using real companies as the bidder and target.

Algo Trading and Financial Analysis with Python

This module covers Python, financial analysis and algorithmic trading. You will first become familiar with the language concepts and methods and the application of these methods to obtain structure and anaylse financial data. You will also design a trading system based on the results of financial analysis using Python as the implementation tool. 

Applying Artificial Intelligence in Business

The course gives an overview of how artificial intelligence (AI) as a technology affects business. Some are referring to AI as similarly transformative as electricity or the internet. The course is going to walk you through the different business areas and give insights about what technologies can be used to improve business efficiency.

Bank Controlling & Treasury

The module focuses on case studies and Excel exercises to understand the value management of a bank. The special highlight throughout the course will be guest speakers such as bank specialists on the topics.

Blockchain

New for 2019, coming soon!

Case Studies in Investment Banking (MoF Corporate Finance Concentration)

This course covers all important business areas that arise in investment banking practice, ranging from M&A / Private Equity, Equity Capital Markets and Debt Capital Markets. It is taught by a practitionaire who brings previous case studies from his professional experience in investment banking. The course emphasizes the role of the investment banking financial advisor and the importance in generating and completing deals that are in the best interests of their clients.

Deep Learning

This module covers deep learning, neural networks with a great number of layers, which are currently the “workhorse” of machine learning and most commonly used method in business applications. the course focuses on applying deep neural networks to business problems and the tools necessary for doing so.

Financial Instruments Accounting

This module allows students to become familiar with the financial reporting implications of financial instruments. This includes issued financial instruments, derivatives/financial guarantees, structured products, and hedging activities. Students will know the central theme within the standard for financial instruments, the implications of recognising derivatives and other financial instruments and measure them at amortised cost or at fair value.

Human and Machine Predictions

New for 2019, coming soon!

Infrastructure & Project Finance

Infrastructure deals, for example for power plants or roads, require financing approaches that deal with complex risk allocation issues, including political risk. The course sets out what regulatory approaches exist and how they affect revenue generation and finance, the design of incentive schemes, risk allocation and contract design, and how financial structuring renders projects bankable and how to develop a project finance model.

Private Wealth Management

Topics in this module focus on major issues of Private Wealth Management, ranging from client goals, client behaviour and market situation to the steering of a wealth management business. Additionally, topics are including the offering of advisory services and products are discussed.

Renewable Energy Finance

This module enables the students to put a project idea / technology into context:environmental, technological, regulatory. Based on this, they learn how to use standard finance tools - notably project finance - to make considered assessments and suggestions about financing approaches that reflect the true specificity of the underlying issues related to renewable energy infrastructure investment.

Advisory Project (MoF FA Concentration)

Is the capstone module of this concentration and its divided into two parts. The first introduces the consulting business and provides practical knowledge such as how to successfully pitch and manage projects. The second part is a consulting challenge: You will learn about a real business case by one of our corporate partners. You will be asked to develop a proposal under time constraints and pitch the idea to the senior managers at the end. Current alumni working in consulting will advise the students throughout the case.   

Alternative Investments and Private Equity

This module provides a concise overview of the most significant types of private equity and alternative investments, and how they affect different portfolio parameters. The course covers the differentiation between ‘classic’ investments vs. ‘alternative’ investments and an introduction to portfolio concepts in general, and their application in modern portfolio management.

Behavioural Finance & Economics

This course gives an overview of the established yet growing field of behavioural economics and behavioural finance. Topics covered include the foundations of behavioural economics in social and cognitive psychology (group, preference, and belief biases), decision making under uncertainty, time preferences and self-control, experimental economics, fairness, the debate on the efficiency of markets, behavioural corporate finance, behavioural asset pricing, individual investor behaviour.

Business Engineering: How to design a high-performance company

The module is strongly methodology-driven and the main focus lies on the application of PROMET. This methodology, developed at the University of St. Gallen, delivers a procedure to design process-based and customer centered organizations. By using an integrated case study we will conduct a little Business Engineering project within the course week.

Business Modelling and Simulation

This module introduces participants to system dynamics, a powerful framework for identifying, designing, and implementing high-leverage interventions for sustained success in complex businesses. Through intensive, hands-on sessions and interactive games, participants will be exposed to the principles of systems thinking and practical methods for putting them into action.

Consumer Behaviour

Students will learn the key behavioral and psychological concepts and will develop the intellectual ability to apply them in analysing marketing situations, such as understanding consumers’ consumption–related behaviors, understand consumer trends and develop marketing strategies intended to influence consumption–related behaviors.

Financial Information & Decision-Making (MoF FA Concentration)

The module is divided into three parts, starting with the discussion of financial reporting quality followed by the decision-making uses of financial information and at the end students will take part in a workshop where they will write algorithms in STATA. Overall you are able to use tools which measure financial reporting quality and evaluate how it affects decision making on e.g. equity and debt markets, as well as in compensation contracts.

FX Options and Structured Products

Students will learn how to structure hedging solutions for corporate treasury, judge pricing and hedging strategies and implement these in practical situations using spreadsheets/VBA, matlab, or similar.

Industry Practice

The main purpose of this course is to give insights of several industries such as automotive, machinery or aviation.

Students will learn how to illustrate the developments within the industry, depict a typical supply chain of a company, identify global players and the key suppliers, and specify discontinuities within the industry and relevant customer requirements.

Mergers & Acquisitions

Students will analyse M&A transactions in detail and all its aspects, with different structures and deal parameters. They will formulate an approach which is entirely consistent with strategic and financial priorities.

Restructuring & Strategic Management Control (MoF FA Concentration)

The module aims at analyzing firms in financial distress and developing solutions to improve profitability. The class also contributes to acquiring theoretical knowledge and practical applications about how financial and non-financial information is used in strategic and operational decision-making in turnarounds.

Risk Modelling (MoF Risk Management Concentration)

The aim of the module is to deepen the knowledge of Risk Management, in particular to understand the general concept of a coherent risk measure; to provide a sound understanding of statistical methods applied in financial risk modelling; to learn modelling approaches in-line with observed empirical facts of financial time series and how to apply them; and to learn multivariate modelling approaches for treating dependence in portfolios.

Subject to change.

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