Companies’ financial statements and annual reports are critical instruments in presenting a corporation’s financial position, the result of its operations and its cash flows to external and internal users. The main objective of this module is to give students a critical understanding of financial information; how this information is prepared and; how it can be analysed so as to draw useful conclusions for decision making purposes. The module examines some of the major aspects of the financial reporting process, its analysis and interpretation. It thereby encourages a critical rather than automatic acceptance of the underlying assumptions behind accounting linking theory with practical examples.

This module will introduce the theory and practice of Project Management and Risk Management and how they support management decisions. Awareness of Project Management and Risk Management practices is critical in modern corporations and assists in impacting both effectiveness and efficiency. The purpose of this module is to cover and contrast the main operational research concepts of the 2 topics according to the methodologies of PMI (USA) and PM2 (EU). There will be a focus on practical project work, founded in theory, and students will be introduced to a range of applicable tools and techniques as well as to several Project Management and Risk Management software packages.

The module objectives unfold in the spring semester. The purpose of this module is to provide students with the opportunity to independently undertake a research project on a particular topic of their choice. Students will determine an appropriate research question; review the literature on the subject of examination; develop, design and present a research proposal addressing the subject of examination; recruit participants; collect and analyze data.

This module will contribute to students’ acquiring a thorough understanding over the areas of portfolio management, security valuation and investment analysis. The students will familiarize themselves with the investment background and recent developments in investment theory, capital markets and asset pricing. Furthermore, they will gain access to modern quantitative methods of security and portfolio valuation. Security analysis will focus on fixed income and equity. Important empirical and theoretical evidence will be examined along with practical implementation of tools and methodologies. Finally, students will get the basic knowledge about Responsible Investing, and how they can have a positive environmental or social impact by their investment decisions.

This module aims to provide students the ability to practically understand the methodologies used in quantitative time series analysis by introducing them to the tools that are necessary in contemporary financial econometrics. At the end of the module students should be able to critically evaluate the existing literature on the field and to conduct modern research design and execution. The ultimate goal of the module is to enable students to produce a well thought out dissertation proposal and research project.

The module focuses on the principles of corporate finance such as investing in projects that yield a return greater than the minimum acceptable hurdle rate, choosing a financing mix that minimizes the hurdle rate and matches the assets being financed. Furthermore, it deals with CAPM, capital structure and dividend policy decisions. It also takes a practical approach to valuations of entities. Finally, it corporates contemporary issues of sustainability in the corporate finance formulation

This module is on the analytics of financial derivatives and risk management. Specifically, the module examines the pricing and use of financial derivatives, including options, forwards, future, and swaps, as well as hedging and Value-at-risk in risk management. The course focuses extensively on the analytical aspects of derivative products and the practical applications of risk management tools in various contexts

Financial engineering is an interdisciplinary field, which applies quantitative practice and methods to provide solutions in finance.  It includes risk management, quantitative finance, and computational finance. The main objective of the course is to review the key models and techniques used in practical applications, to understand their applicability and limitations, and to build an integrated framework within the area of financial engineering. In this module, basic quantitative methods and risk management models are introduced and implemented using R programming language.

This module is highly technical in nature, as it predominantly attempts to expose the quantitative aspects that people in the business and finance profession must be acquainted with should they want to perform everyday tasks effectively. Topics such as decision analysis, inferential statistics, regression and correlation analysis, model specification, econometric problems, time series, and forecasting, provide the platform on which an insightful and vigorous analysis will be conducted.