Programmes

Master 2 Finance and Information Technology (Full Time Programme)

Full time programme

contact

Silvia ROSSETTO
Head of Programme

Elodie PEREZ
Administrative Officer

master2.finance@tsm-education.fr

Application form

Applications for the academic year 2020/2021 took place from February 3 to April 10, 2020. They are now closed.
Whether you are a TSM student or you are considering joining our community:

  • it is no longer possible to complete a submitted application;
  • you can now follow the progress of your application evaluation on the eCandidatures platform;
  • you can view the decision of the education committee (the results will be published on June 18, 2020);
  • you must confirm your interest in registering for this programme (from 18 to 23 June 2020).

    label contrôlé par l&aposEtatEPAS TSM

 

The TSM Master in Finance among the top 10 Masters in Finance that are EPAS-accredited worldwide

EPAS is delivered by the European Foundation for Management Development (EFMD). It is the most thorough programme accreditation system for business and management programmes with an international perspective. According to EFMD: "The TSM Master in Finance is a robust academic programme with a commendable connection with the world of practice. The programme demonstrates several examples of best practices among which the use of ILOs to develop the provision but also to conduct programme delivery and assessment. The programme also offers a unique academic approach combined with the purpose of applying knowledge and skills to solving real-life problems and practical learning opportunities through internships."

The Master in “Finance and Information Technology” (FIT) provides students with skills in both finance and financial IT.

 

Financial technology, also known as “fintech”, aims at proposing solutions to all actors involved in financial decisions, such as financial institutions, firms and single individuals using specialized IT tools.

The Master provides a rigorous preparation in all fields of finance together with a solid knowledge of the most recent IT tools such as business intelligence and blockchain. This double competency prepares students for jobs both in corporate finance and financial markets where an understanding of IT is essential. Through practical cases and projects, students develop complementary practical skills like problem-solving, communication and business etiquette.


Students pursuing the Finance and Information Technology track will learn to:

  • Analyze and exploit big data to extract information to take financial decisions;
  • Implement and upgrade business processes which collect information to support company’s decisions;
  • Design and implement business intelligence systems applied to financial contexts.

UE 01 - Asset pricing

  • Presentation and intended learning outcomes

    This course covers the fundamentals and practice of asset pricing. The first part of the course will pay special attention to fixed income products. Financial institutions and corporations use fixed income products to manage their assets and liabilities. They can use financial derivatives such as futures, options, and swaps to hedge their risks or to change the returns of their portfolios. The purpose is to provide students with the necessary skills to value and to employ fixed income instruments. We will specifically focus on instruments that are mostly used by portfolio managers, treasurers and traders, namely interest rate derivatives, currency forward contracts, interest rate swaps and options. The approach will be very market oriented in order to offer a link between the theory (pricing models) and the market practices.

     

    The second part of the course will uncover the fundamentals of asset pricing models, starting from notions of market efficiency and anomalies linked to return predictabilities. We start by introducing basic concepts and dynamic asset pricing models building on the CAPM, with the aim of understanding how these models can be used to explain asset prices. We develop consumption-based asset pricing models and explore how asset prices depend on future expected payoffs and investors’ preferences about consumption and risk, and how they are affected by consumption and payoff shocks. We introduce factor models and give an outlook on their use and role in practice.

     

    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

    Students are expected to have a minimum preparation in mathematics, statistics and econometrics. An introductory course of Asset Pricing is a plus.
    Students are expected to have a basic knowledge of standard financial instruments (bonds, forward contracts, options).

Syllabus

UE 02 - Corporate finance

  • Presentation and intended learning outcomes

    The course covers several topics in corporate finance and emphasizes the interaction between financial decisions and strategic choices of corporations. The objective of the course is to apply concepts and tools from finance theory to analyze actual problems faced by firms, and to provide insights on the practice of corporate finance.
    At the end of this 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 these 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).

Syllabus

UE 03-1 - Information technology for finance (Introduction to SAP)

  • Presentation and intended learning outcomes

    Today, most corporations run ERP (Enterprise Resource Planning) software to support their business processes. Process integration, task automation, and process control are the main benefits when using an ERP system. Finance functions such as accountants, controllers, auditors, and also external consultants, use intensively ERP systems in their daily work and need therefore to understand its functional architecture, and how business processes are ran and integrated. In this course students will learn the main concepts related to ERP systems and also how to navigate in the user interface to execute different business processes. This training includes concepts and exercises in the SAP ERP.

     

    After this training, students should be able to:

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

    • describe the structure of a SAP system

    • navigate through a SAP system

    • execute simple SAP transactions

    • 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

Syllabus

UE 03-2 - Information technology for finance (VBA for finance)

  • Presentation and intended learning outcomes

    Visual Basic for Applications (VBA) is an implementation of Microsoft's programming language Visual Basic, and associated development environment, built into Microsoft Office applications. Excel VBA is widely used in the finance industry, to create complex financial spreadsheet models. This intermediate course aims at providing students with a solid background and understanding of VBA structured and event-driven programming techniques, along with best programming practices, such that students write good quality, easy to maintain code. 

    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. 
    • work effectively in a group

     

     

  • Prerequisite
    • General knowledge of personal computer.
    • Excel (intermediate).
    • Programming (beginner).

Syllabus

UE 04 - Financial econometrics

  • Presentation and intended learning outcomes

    Financial econometrics is the application of statistical methods to financial data. It provides a set of tools that are useful for modeling financial data and testing hypothesis about how markets work and prices are formed. The course is designed to cover the essential tools of financial econometrics and empirical finance with a moderate degree of sophistication. In this sense, the course will be applied to give students the useful tools to become fully autonomous when carrying out empirical analysis in a professional context.

     

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

    • describe the statistical properties of the OLS estimator
    • translate an economic argument into a formal econometric test
    • implement simple statistical tests of hypothesis
    • use statistical packages to estimate econometric models
    • provide an economic and statistical interpretation of a regression output
    • communicate effectively in oral and written form
    • work effectively in a group

     

  • Prerequisite

    Intermediate knowledge in finance theory and in econometrics.

Syllabus

UE 05 - Economics for finance

  • Presentation and intended learning outcomes

    This course introduces some fundamental economic concepts and tools and shows how these can be used to understand financial behaviors as well and the functioning of financial markets.

     

    Upon completion 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

    Previous exposure to basic finance concepts is a plus.

Syllabus

UE 06 - Financial Information Systems

  • Presentation and intended learning outcomes

    Today, most corporations run ERP (Enterprise Resource Planning) software to support their business processes. Finance functions such as accountants, controllers, auditors, and also external consultants, use intensively ERP systems in their daily work and need therefore to understand how the financial processes are ran and configured. In this course students will learn how to use transactions in Financial Accounting and Management Accounting and also learn basic configuration activities. This training includes concepts and exercises in the SAP ERP.

     

    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

Syllabus

UE 07 - Big Data in Finance

  • Presentation and intended learning outcomes

    Today, the rapid growth of data and storage capacity creates opportunities for collection, processing and analysis of huge datasets. Being able to extract strategic information from big financial datasets to take more information-driven business decisions, is a key competence in most working environments. The purpose of this course is to provide students with the necessary preliminary programming skills for information extraction from structured and unstructured huge financial datasets, through numerical evaluation of models.

    By the end of the module the 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.

Syllabus

UE 08 - FinTech

  • Presentation and intended learning outcomes

    The main objective of the course is to introduce students to fintech, the area of business activity where finance intersects with information technology to improve and automate the delivery and use of financial services. The course will present traditional models of money and the role of banks for payments and funding, allowing students to better understand the innovations peer-to-peer lending brings. The course will then focus on blockchain and cryptocurrencies. Cryptocurrencies like Bitcoin and distributed applications based on smart contract systems are two major potential game-changers for the financial services industry. Both are based on distributed ledger technologies like blockchain. The course will introduce students to the functioning of a blockchain, such that they can better understand what blockchain-based applications can bring to the finance industry as well as their intrinsic limitations. Part of the course relies on practical applications in computer lab, like analyzing cryptocurrency price data, analyzing on-chain data, and developing smart contracts.

     

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

    • describe how peer-to-peer lending platforms work
    • assess to what extent peer-to-peer lending complements traditional banking
    • articulate the mechanism behind the blockchain
    • collect and analyse blockchain data
    • assess applications of blockchain to financial services
    • synthesize information and make focused presentation

     

  • Prerequisite

    A basic understanding of the financial services industry. General knowledge of personal computer; Excel (intermediate); Programming (beginner); Statistical software (beginner). 

Syllabus

UE 09-1 - Financial reporting (IFRS)

  • Presentation and intended learning outcomes

    The objective of this course is to introduce students to International Financial Reporting Standards.

     

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

    • execute consolidation of simple financial statements
    • describe principles and characteristics of IFRS/IAS for consolidated financial statements
    • evaluate differences between IFRS/IAS and local GAAPs
    • apply intricate IFRS/IAS requirements (e.g. IAS 12, IAS 21)

     

  • Prerequisite

    A first course in financial accounting and consolidated financial statements. 

Syllabus

UE 09-2 - Financial reporting (Statutory audit)

  • Presentation and intended learning outcomes

    The objective of this course is to familiarize students with legal audit procedures and regulation. 

     

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

    • explain the principles and regulatory framework of audit
    • describe the legal audit procedure.
    • assess the importance of ethics and compliance in audit procedures

     

  • Prerequisite

    A first course in financial reporting and consolidated statements. 

Syllabus

UE 10 - Financial computing

  • Presentation and intended learning outcomes

    Computers and digital transactions become evermore important in the financial industry. Algorithms and models are the driving forces behind the software used for this ever increasing automatisation. In this course, students learn the basics of programming, how to construct algorithms and work with structure data. They will get a brief introduction on how data driven modelling can be used to automate tasks and decision making. They entire course is given on a hands-on approach where the students code together with the instructor. The course end goal is to finish a end-to-end project in groups of two and write a paper on the progress.

     

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

    • write a basic Python program;
    • apply different programming paradigms like functional and object oriented programming;
    • 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.

Syllabus

UE 11 - Internship / Entrepreneurial project

  • Presentation and intended learning outcomes

    The objective of the internship is to help students develop social, communication and technical skills useful for their future career.

     

    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 transferable 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.

Syllabus

Internal TSM candidates

→ Successful completion of 240 ECTS

→ An English language test for non-English speakers (B2 required). List of the English language certificates accepted here.

→ Examination of candidate’s application and possible interview (choice of track)

 

External candidates (non TSM)

→ Successful completion of 240 ECTS

→ An English language test for non-English speakers (B2 required). List of the English language certificates accepted here.

→ Examination of candidate’s application and possible interview

 

Need help? Consult our FAQs or contact assistance-admission@tsm-education.fr

TSM offers theoretical, high-quality instruction with significant relevance to the industry. During the internships I did for my Master in Finance, employers showed a strong interest in this programme. After graduating, I had no issues finding a first job on par with the positions offered to students graduating from engineering schools. Close interactions with the teachers, who were available and committed to our success, is a real asset of the Finance and Information Technology Master.

Marina GRIMAUD

Class 2013/2014 | SAP Finance functional Consultant

92%* of students have found a job within 3 months of graduation.
27%* of students have found a job abroad.
The average annual net salary two years after graduation was above 40,000€*.

 

Career opportunities:

  • IT system consultant in Finance
  • Business Analyst
  • Data analyst
  • Financial IT manager
  • Project manager

 

Preferred sectors: consulting firms, IT service industry, merchant and investment banks, large companies.

*Source: 2016, 2017, 2018 graduate survey 2 years after completing the M2 FIT.

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