Master of Science in Data Analytics and Financial Technology (Joint Degree with Hellenic Mediterranean University)
Neapolis University Pafos
EUR 12,000 / per year
Earliest start date
The Inter-institutional Postgraduate Study Programme (I.P.S.P.) in “Data Analysis and Financial Technology” aims to develop a high level of research and educate graduates in the field of finance and computer science at the postgraduate level through the ten courses offered.
The purpose of the Programme is to arm the student with a very wide theoretical and practical arsenal of knowledge and analytical skills so that he/she can comprehend and develop the subject of data analysis and financial technology. The aim is also to educate students appropriately so that they develop critical thinking with the ultimate objective of producing research in the subject matter.
The proposed postgraduate programme Master of Science in Data Analysis and Financial Technology responds to the specialised needs created by modern and classical methods of financing and managing capital resources of corporate organisations, modern financial instruments, banking needs and methods, and public involvement for raising and offering resources. With the specialised knowledge and skills that will be acquired from this programme, the graduates will be able on the one hand to apply the new methods and knowledge in these subjects in the world of businesses and organisations, and on the other hand they will have acquired the necessary specialisation background to advance their research to a higher level such as that of the doctorate.
In particular, the proposed I.P.S.P. aims to:
- prepare students for the high-level staffing of financial/economic departments and/or directorates of the private or public sector in Greece or abroad
- train specialised scientists who will assist the process of Big Data management and use technology for the provision of financial solutions (Financial Technology or FinTech), due to the unprecedented scale of data produced daily, as well as the need of data analysis for the export of valuable knowledge in the fields of finance.
The above is a result of market globalisation but also the development of technology and computer science, the growth of data that offer, among other things, sources such as the World Wide Web, social networks, and the recent trend for open data. As an industry, FinTech refers to emerging technology companies aiming to compete with traditional financial institutions and offering a range of services, from mobile phone payment solutions, crowdfunding platforms or online micro-finance, to online portfolio management tools and international capital transfers. FinTech companies are attracting the interest of both the various users of banking services, as well as investment companies, who see them as the future of the finance sector.
Therefore, the role of Data Analysis and Financial Technology, which requires excellent knowledge of modern theories and practices of Computer Science and Finance combined with the concept of Big Data, highlights new opportunities for economic growth, elements that are considered particularly important today.
Holders of the Postgraduate Specialisation Diploma (PSD) in “Data Analysis and Financial Technology” from the proposed I.P.S.P. will have sufficient knowledge to pursue an international career, taking up positions with a particularly high level of knowledge in the organisation and management of the modern financial environment.
The teaching method used in the programme is a combination of lectures and interactive teaching methods. More specifically, the teaching method in the programme is participatory and interactive, so that students can develop their interpersonal skills through their active participation in the learning process. Learning activities and teaching methods include lectures, simulation games, discussions and debates, problem-solving, group work, and case studies. Students will present case studies in groups where their ability to support their views will be assessed. The exercises aim at a deeper understanding of the concepts developed during the lecture and better preparation for the exams. In addition, an educational film has been included that deals with a relevant issue for the purpose of critical discussion and argumentation by students in groups. Finally, they include a panel form of discussion with a coordinator where recent research articles will be discussed.
- MBA550 Accounting and Financial Statement Analysis
- MFIN500 Research and Quantitative Methods in Finance
- DIS502 Problem Solving Programming
- MFIN560 Banking Operations and Management
- DAFT501 Blockchain and Cryptocurrencies
- DAFT502 Modelling High-Frequency Finance
- DIS508 Data Analytics
- DIS507 Disruptive Technologies
- DAFT503 Trading Strategies and Applications
- MDIS600 Dissertation
*For those applicants who do not have sufficient knowledge of data analysis or finance, foundation courses can be offered to meet these needs.
To acquire a theoretical background and specialised knowledge so as to be able to explain the structural and constituent elements that compose the operation of the financial markets of investment service companies, investment funds, hedge funds or insurance companies.
Upon the successful completion of the programme students will be able to:
- Define different theories and concepts to explain financial and insurance issues and make decisions in businesses, financial institutions and insurance companies and insurance funds
- Apply financial and quantitative skills and select the appropriate decision-making tools in practical financial and insurance problems, proposing applicable solutions
- Critically evaluate the existing literature and empirically examine research hypotheses
- Demonstrate originality, insight and the ability to adapt to complex and unpredictable situations and environments in order to make informed decisions
- Use information technology (computing tools, econometric software and databases) and innovative computer science technologies to interpret and analyse corporate, financial and banking data
- Comprehend and critically evaluate the practical applications of financial theories and techniques and how they are used in the financial and insurance sector and in the wider economy
- Apply techniques and analyses in finance, investments and banking to conduct independent research
- Demonstrate the ability to interact effectively in group situations, demonstrate leadership skills and manage conflict situations.