MSc in Data Analytics and Financial Technology

The Postgraduate Study Programme MSc in Data Analytics and Financial Technology is a joint Inter-university Degree Study Programme between the Department of Administrative Science and Technology and Department of Accounting and Finance of the Hellenic Mediterranean University (GR) and the Department of Accounting and Finance and Department of Computer Science of Neapolis University Pafos. It leads to a joint Master’s Degree of Studies of the two Higher Education Institutions without requiring a recognition process by D.O.A.T.A.P. The programme is aimed primarily at graduates of Finance, Accounting, Economics, Business Administration and Computer Science.

JOINT WITH


Joint Inter-university Master’s Programme of Neapolis University Pafos and the Hellenic Mediterranean University (no submission required for recognition by D.O.A.T.A.P.)

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1.5 YEARS

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90 ECTS

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ENGLISH & GREEK

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FULL TIME

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AWARDED BY NEAPOLIS UNIVERSITY AND HELLENIC MEDITERRANEAN UNIVERSITY

OBJECTIVE OF THE MSc IN DATA ANALYTICS AND FINANCIAL TECHNOLOGY

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 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 needs 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, highlight 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, discussion and debates, problem solving, group work, case studies. Students will present case studies in groups where their ability to support their views will be assessed. The exercises aim at the 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.

PROGRAMME LEARNING OUTCOMES

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:

  1. define different theories and concepts to explain financial and insurance issues and make decisions in businesses, financial institutions and insurance companies and insurance funds
  2. apply financial and quantitative skills and select the appropriate decision-making tools in practical financial and insurance problems, proposing applicable solutions
  3. critically evaluate the existing literature and empirically examine research hypotheses
  4. demonstrate originality, insight and the ability to adapt to complex and unpredictable situations and environments in order to make informed decisions
  5. use information technology (computing tools, econometric software and databases) and innovative computer science technologies to interpret and analyse corporate, financial and banking data
  6. 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
  7. apply techniques and analyses in finance, investments and banking to conduct independent research
  8. demonstrate the ability to interact effectively in group situations, demonstrate leadership skills and manage conflict situations.

DURATION OF STUDIES AND ASSESSMENT

DURATION OF STUDIES

Academic year (3 academic semesters) The Master programme will be offered full-time and the programme’s normal duration is 1½ years (18 months). Master students must complete 90 ECTS to fulfil the degree requirements. The first-year core programme consists of eight integrated thirteen-week modules, totalling 60 ECTS. Master students must also complete a 30 ECTS Dissertation to fulfil the degree requirements. The programme will be delivered within three (3) academic semesters. During the 1st semester, a student has to take four (4) compulsory modules, totaling 30 ECTS and during the 2nd semester another three (3) compulsory modules will be provided and one (1) elective out of three (3), totaling 30 ECTS. After completing their first year in the Master programme (60 ECTS), students shall take a compulsory Master Dissertation, corresponding to 30 ECTS.

Furthermore, in accordance with the relevant announcements made by the Agency of Quality Assurance and Accreditation in Higher Education, students have the opportunity to complete their postgraduate studies in two academic semesters (12 months) as long as they start their Master’s Dissertation during the first or second semester of their studies, including the summer period. In this case, the completion of the Master’s Dissertation may be prolonged during the summer period, for one or two months. In any case, the total ECTS remain 90.

ASSESSMENT

The assessment process is detailed in the Study Guide of each course. Each course is assessed individually, through assignments such as reports, interactive assignments (scientific article review, video review on current issues, quiz, simulation game) and formal written final exams or other alternative assessment methods.

It is noted that success in all the assessment pillars is a condition for the successful completion of the programme.

COURSE STRUCTURE

SEMESTER 1

CodeAccounting & Financial ManagementCourse typeECTS
MBA550Accounting & Financial ManagementCompulsory7.5
MFIN500Research and Quantitative Methods in FinanceCompulsory7.5
DIS502Problem Solving ProgrammingCompulsory7.5
MFIN560Banking Operations and ManagementCompulsory7.5

SEMESTER 2

CodeCourse titleCourse typeECTS
DAFT501Blockchain and CryptocurrenciesCompulsory7.5
DAFT502Modelling High Frequency FinanceCompulsory7.5
DIS508Data AnalyticsCompulsory7.5
DIS507Disruptive TechnologiesElective7.5
DAFT503Trading Strategies and ApplicationsElective7.5

SEMESTER 3

CodeCourse titleCourse typeECTS
MDIS600DissertationCompulsory30
*For those applicants who do not have sufficient knowledge of data analysis or finance, foundation courses can be offered to meet these needs.

ADMISSION REQUIREMENTS

The University admits students irrespective of nationality, race, religion, or gender, provided that they meet the predefined admission criteria of each Programme of study.

The University announces a call of interest for prospective students in daily newspapers, on the University’s webpage and in other webpages, as well as with any other appropriate means. Those who are interested may apply both electronically and by any other means (regular mail, application in the University’s secretariat, fax etc.).

To be admitted to the programme, all candidates must have completed an undergraduate programme at any accredited university or its equivalent. Documentation of the candidates’ education will be required as part of the application for admission.

The Postgraduate Programme takes into consideration the academic background of each candidate based on his/her previous studies, as well as his/her foreseen ability to conclude successfully the Programme. The programme is aimed primarily at graduates of Finance, Accounting, Economics, Business Administration and Computer Sciences. The necessary supporting documents to be submitted with the application include:

  1. completing the relevant application,
  2. officially certified certificates from the candidate’s previous studies
  3. certified proof of knowledge of the English language,
  4. Two letters of recommendation, one of which must come from a person who knows the candidate’s academic work
  5. a report that expresses and justifies its interest in specific postgraduate studies.

The minimum requirements for recognizing knowledge in the English language are described in detail in the study guide.

5.2. English language requirements

Satisfactory knowledge of English is essential. The minimum language requirement is a B2 certificate in the Common European Framework of Reference for Languages scale or any other equivalent degree. In the absence of such a certificate/degree, candidates will be asked to sit English language exams in order to prove their satisfactory knowledge.

The minimum English language requirements are:

  • TOEFL – a minimum score of 550 (paper based) or 213 (computer-based) or 80 (internet based) in the TOEFL test.
  • IELTS – The British Council/University of Cambridge Local Syndicate’s test of Academic English, International English Language Testing System (IELTS) with a composite score in the range of 6-6.5.
  • GCE O Level English Language at Grade C or above.
  • GCSE English language at Grade C or above.
  • CSE Grade 1 Pass in English.
  • Hong Kong Certificate of Education, English Language Syllabus B, Grade C or better.
  • A pass in the Use of English examinations administered by bodies as listed under GCE Examination Board.
  • A pass in the Oxford Examining Body’s English as a Foreign Language (Higher Paper).
  • A pass in English in the Joint Matriculation Board (JMB) Test in English (Overseas) examination.
  • Matriculation examinations from European countries where English is presented as a subject and an acceptable level is achieved.

One of the following other University of Cambridge ESOL exams:

  • a grade C or higher on a Certificate of Proficiency in English (CPE)
  • grade A on a Certificate in Advanced English (CAE)

After admission, candidates may be required to take additional instruction in English language.

The University reserves its right to define the electives offered on an academic year basis.

The programme structure may change without prior notice, as a result of quality assurance procedures or/and programme recertification.

Register your interest and one of our admissions consultants will contact you with guidance and additional information.

FACULTY & STAFF OF THE PROGRAMME

Maria Psillaki

Professor of Banking and Finance

Senior Research Fellow

Maria Psillaki is a Professor of Banking and Finance. She studied at the University of Nice Sophia Antipolis, in France where she received her Bachelor, Master and PhD with the highest honors...

Andreas Hadjixenophontos

Associate Professor in Accounting and Finance

Head of the Department of Accounting and Finance

Coordinator of the BSc Accounting, Banking and Finance and MSc Accounting and Finance

Dr. Andreas Hadjixenophontos is an Associate Professor in Accounting and Finance. He graduated in 1985 from the Department of Accounting and Finance of the London School of Economics...

Savvas Chatzichristofis

Professor of Artificial Intelligence

Head of the Department of Computer Science

Coordinator of the Bachelor in Applied Computer Science

Savvas A. Chatzichristofis pursued the Diploma and the Ph.D. degree (with honors) both from the Department of Electrical and Computer Engineering, Democritus University of Thrace, Greece...

Panayiotis Christodoulou

Lecturer of Computer Science

Coordinator of the MSc in Information Systems and Digital Innovation (conventional and Distance)

Panayiotis Christodoulou holds a PhD in Computer Engineering and Informatics from the Cyprus University of Technology (CUT). He completed his undergraduate and postgraduate studies at the Manchester University, UK (MEng) and the Frederick University...

Konstantinos Zagoris

Lecturer in Databases and Distributed Systems

Coordinator of ERASMUS, InternshipInternship, Student Affairs

Dr Konstantinos Zagoris received the Diploma in Electrical and Computer Engineering in 2003 from Democritus University of Thrace, Greece and his PhD on Content and Metadata Based Image Document Retrieval from the same university in 2010...

Elena Kakoulli

Lecturer in Information Systems

Dr Elena Kakoulli acquired a Ph.D. degree in Computer Engineering at the Department of Electrical and Computer Engineering and Informatics of the Cyprus University of Technology. She holds a Master’s degree in Computer Science from the University of Cyprus...

Christos Floros

Professor of Finance at Hellenic Mediterranean University

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Dimitrios Vortelinos

Assistant Professor of Accounting and Finance at Hellenic Mediterranean University

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Christos Lemonakis

Assistant Professor of Business Administration on SMEs Management at Hellenic Mediterranean University

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