Data Science Accounting & Management | Presentation
Data Science Accounting & Management Presentation
Educational Objectives
The interdisciplinary PhD course in Data Science, Accounting & Management aims to provide advanced skills and knowledge in the fields of Artificial Intelligence and Cyber Intelligence, Accounting, Management, Organization and Finance, in our era of Big Data and Data Science.
The Course aims, therefore, to provide knowledge, skills and abilities in the area of research methodology, pure and applied, in the domains of artificial intelligence, data science, accounting, management and organization (of business and government).
The Doctoral Course aims to train young researchers for employment in Italy and abroad, in universities, research organizations, high-tech companies and public administrations. The Course, organized into curricula ("Data Science & Artificial Intelligence," "Accounting, Management, Organization & Finance," and "Cyber Intelligence For Civil Networked Security") has as its core element the methodologies, techniques and approaches of Data Science, Artificial Intelligence, Cyber Intelligence, Accounting, Management and Organization, as well as their applications. In their respective curricula, doctoral students will acquire a solid knowledge base updated to the latest international developments.
The Ph.D. will take an interdisciplinary approach to the analysis of complex systems, making use of advanced tools and methodologies. Trainees will gain sensitivity to issues related to technology transfer and innovative processes that facilitate collaboration between the research and business worlds.
The main objective is to train new interdisciplinary professionals with strong aptitudes for solving problems of high complexity and with the use of big data, and with the ability to apply innovative methodologies (e.g. of Artificial Intelligence and Cyber Security) to concrete scientific and business problems and to Public Administration. Specifically, the doctoral course will enable the:
- training of researchers and managers for research activities in the fields of technological implementation and economic-statistical exploitation of big data;
- training of professionals capable of supporting the evolution of current organizations seen as complex systems and service systems based on data analysis and intelligent use of smart Technologies;
- acquisition of knowledge and practical experience on the techniques and approaches of Data Science, Artificial & Cyber Intelligence, Accounting, Management and Organization, as well as their applications in research, business and public administration sectors;
- acquisition of an appropriate level of sensitivity to issues related to technology transfer and innovation processes to facilitate collaboration between the research and business worlds;
- pursuit of a high level of internationalization through the mandatory stay of doctoral students at prestigious international research institutions and centers.
The curriculum in "Data Science & Artificial Intelligence" aims to provide the advanced knowledge, theoretical, methodological and application tools to conduct high quality research in the disciplines of computer science and ICT, applicable to research institutions, business and government. Additional educational objectives include the ability to use knowledge and analytical tools from other disciplines taught in the doctoral program, in business or sociology.
The curriculum in "Accounting, Management, Organization and Finance" aims to provide the advanced knowledge, theoretical approaches, qualitative and quantitative methods, tools and analytical techniques to conduct high quality research in the economic-business disciplines, applicable to business, government and non-profit entities. Additional educational objectives include the ability to use knowledge and analytical tools from other disciplines taught in the doctoral program, whether in computer science or sociology.
The curriculum in "Cyber Intelligence For Civil Networked Security" aims to provide advanced knowledge, theoretical and methodological approaches of a multidisciplinary nature in the application of cyber intelligence models and techniques that can be used in both research and operational purposes in government agencies, nationally and internationally, and in the corporate sector. Knowledge and analytical tools from the disciplines in the doctoral program and also the input of external expertise through activities including lectures, seminars and thematic workshops will be used to complete the educational objectives.
Structure and description of educational activities
The Ph.D. program is three years in length, divided into six semesters for each of the three curricula. Course Units and Study Plan are available at their links.
| N | Name curriculum | Brief Description |
| 1 | DATA SCIENCE & ARTIFICIAL INTELLIGENCE | The objective of the Curriculum in "Data Science & Artificial Intelligence" is to provide advanced knowledge of models, methodologies and applications of artificial intelligence and data science, both theoretical and practical/applicative, to conduct high-quality research in the computing disciplines applicable to research institutions, businesses and government. Additional educational objectives include the ability to use knowledge and analytical tools from other disciplines taught in the doctoral program, in business or sociology. The Curriculum provides for the acquisition and deepening of knowledge and skills typical of the professional figures of data scientists (including open data manager, data intelligence professional) also through the presentation of application experiences to different sectors. Particular attention will be paid to interdisciplinary and multidisciplinary research including, but not limited to, on topics related to the other two Curricula of the Doctoral Program in order to enhance the role offered by the recent evolutions of artificial intelligence in the corporate and cyber security and intelligence sectors and this both with respect to the potential that these evolutions may have to improve research in these sectors and with respect to the fields of application. |
| 2 | ACCOUNTING, MANAGEMENT, ORGANIZATION & FINANCE | The objective of the curriculum in "Accounting, Management, Organization and Finance" is to provide the advanced knowledge, theoretical approaches, qualitative and quantitative methods, tools and analytical techniques to conduct high quality research in the business and economic disciplines. Knowledge will be provided and research experience presented in the fields of business economics, accounting, public accounting, management, strategy, corporate governance, innovation and business creation, marketing, corporate social responsibility and sustainability, corporate finance, organization (of business and government), and financial intermediaries. Special attention will be paid to interdisciplinary research on artificial intelligence, big data and applications to business problems. The landscape of top ranked scientific journals, avenues of publication, map of conferences and scientific societies involved will also be presented. Finally, the fields of application of theoretical knowledge in operational areas will be proposed. |
| 3 | CYBER INTELLIGENCE FOR CIVIL NETWORKED SECURITY | Both domestic and international terrorist and criminal threats can be more effectively addressed by refining cyberintelligence techniques from an increasingly multidisciplinary perspective. In this way, relevant preventive action can be facilitated, since it is the result of a better understanding of the human, social and technological aspects that are intertwined in the various governmental realities, thus arriving at countermeasures against terrorism and cybercrime, even when using information disorder techniques. To this end, the objective of the curriculum in "Cyber Intelligence for Civil Networked Security " is to provide advanced knowledge, theoretical and methodological approaches of a multidisciplinary nature in the application of cyber intelligence models and techniques. In particular, knowledge will be provided in: international theory and policy; security studies; legal aspects of data protection; knowledge extraction from open sources, identification and analysis of the evolution of opinions and behaviors following the semantic, spatial and temporal dimensions of data in accordance with the paradigm of conceptual data analysis; mathematics applied to decision-making processes in organized systems, as well as the models and methods for predicting the behavior of such systems; and corporate security. |
Organization of training activities
The training activities will be organized according to the following scheme:
All courses will be delivered by faculty from the Department and/or the University of Salerno and/or other prestigious international scientific institutions.
| Curriculum | Teaching | Hours | Description |
| ACCOUNTING, MANAGEMENT, ORGANIZATION & FINANCE | Accounting (first year) | 36 | The course in Accounting management and organization & Finance focuses on the key aspects of designing management and control systems to meet the needs of businesses, both domestic and international, and organizations. PhDs will be able to work within multinational organizations and internationalized companies in key functions such as management control and business planning. The course will be divided into modules covering Financial Reporting, Management Accounting, Auditing & Forensic Accounting, Business administration and Public Sector Accounting. |
| Management (first and second years) | 40 | The course in Management focuses attention on the key aspects of administrative management and the design of governance systems to meet the needs of businesses and organizations. Management PhDs will be able to work within multinational organizations and internationalized businesses in key functions such as strategic and managerial management. The course will be divided into modules covering Marketing, Organization, Strategy, Corporate Governance and Entrepreneurship and Innovation Management. | |
| Banking, finance & sustainability (second and third years) | 24 | The course in Banking, finance & sustainability focuses on aspects related to the main management choices faced by a bank, both at the strategic and operational levels. The teaching proposes the analysis of the main competitive strategies of banking companies, also with the help of systems for measuring and managing the main banking risks. The course will be divided into modules covering corporate finance, banking and sustainability management. | |
| Metodi nella ricerca aziendale (first year) | 8 | The teaching module aims to foster a rational and methodologically rigorous approach to the analysis of complex decision-making problems that arise in the management of companies and organized structures. It aims, in fact, to provide basic knowledge in optimization and, more generally, in applied mathematics and accounting, both general and analytical, as well as skills in formulating and solving linear programming and integer linear programming problems. Teaching is, therefore, geared toward ensuring the acquisition of skills necessary for the analysis of real systems and processes and the ability to arrive at effective solutions through the selection of appropriate methods. | |
| DATA SCIENCE & ARTIFICIAL INTELLIGENCE | Statistica e Business Intelligence (first year) | 40 | The course aims to provide knowledge and skills related to the main statistical methods and approaches underlying data analytics and artificial intelligence models. Particular emphasis will be placed on business (e.g., project management) and business intelligence problems and how these problems can be addressed in new ways with the skills acquired. The course will be divided into modules covering Business Informatics, Statistics & Data Science, Project Management, and Internet of Things. |
| Big Data & Artificial Intelligence (first and second years) | 28 | The course aims to provide knowledge and skills related to modeling-methodological and application developments involving Big Data and Artificial Intelligence. Fundamental content and recent innovations will be presented with attention to research and application perspectives. The course will include presentation of concrete cases of application of the innovations in different sectors (business, biomedical) and in-depth study of cross-cutting issues such as data integration. The course will be divided into modules covering Introduction to Data Science, ML & AI, Big data & AI in biomedicine, Data Integration, and Advances in Data Integration. | |
| Cyber Intelligence & Security (second and third years) | 40 | The course aims to provide knowledge and skills related to Cyber Intelligence and Security. The course will focus on data science and artificial intelligence techniques to these areas focusing on approaches of conceptual data analysis, NLP, approximate reasoning. Topics related to intelligence source analysis (e.g., OSINT), privacy, cryptography, blockchain will be explored in depth with the presentation of real applications and case studies. The course will be divided into modules covering Big Data and Cyber Intelligence, Big Data and Conceptual Analysis, Data Driven DM and Visualization, and Privacy/Cryptography/Blockchain. | |
| CYBER INTELLIGENCE FOR CIVIL NETWORKED SECURITY | Banking, finance & sustainability (second and third years) | 24 | The course in Banking, finance & sustainability focuses on aspects related to the main management choices faced by a bank, both at the strategic and operational levels. The teaching proposes the analysis of the main competitive strategies of banking companies, also with the help of systems for measuring and managing the main banking risks. The course will be divided into modules covering corporate finance, banking and sustainability management. |
| Cyber Intelligence & Security (second and third years) | 40 | The course aims to provide knowledge and skills related to Cyber Intelligence and Security. The course will focus on data science and artificial intelligence techniques to these areas focusing on approaches of conceptual data analysis, NLP, approximate reasoning. Topics related to intelligence source analysis (e.g., OSINT), privacy, cryptography, blockchain will be explored in depth with the presentation of real applications and case studies. The course will be divided into modules covering Big Data and Cyber Intelligence, Big Data and Conceptual Analysis, Data Driven DM and Visualization, and Privacy/Cryptography/Blockchain. | |
| Political and social aspects of national and international security (first year) | 20 | The Political and social aspects of national and international security course aims to provide knowledge on the most relevant aspects and key words related to national and international security from a cybersecurity perspective, as well as suitable analytical and methodological tools for understanding the complex dynamics of cyberspace. The course will be divided into modules dealing with multi/inter-disciplinary political and social aspects to security. | |
| Law and new technology (first year) | 20 | The course aims to offer analytical knowledge, on how to manage data flows in light of the latest regulatory interventions. It aims to highlight how Big Data and artificial intelligence (AI) bring out non-intuitive and unverifiable inferences and predictions about individuals' behavior and privacy. The objective is, precisely, to show, from a comparative perspective, the different data protection techniques that have emerged to protect the identity, reputation and autonomy of individuals. |
Other teaching activities
| Activity | Description |
| Perfezionamento linguistico | A 100-hour English language course is planned, organized by the University Language Center, to prepare for the acquisition of internationally recognized language certifications and aimed at perfecting reading, writing, and communication in technical-scientific and economic-business fields. The use of English for the annual presentation of achievements, in readings and slides is encouraged. The course will be delivered to students of all majors. |
| Perfezionamento informatico | Students will take an introductory course in Artificial Intelligence and data analysis with information tools. Basic knowledge and skills useful for furthering computer science will be provided. Knowledge and skills related to the main ways of industrial and business data analysis will also be deepened. This course aims to create a common background in Artificial Intelligence and to develop synergies among students. The course will be delivered to students of all majors. |
| Gestione della ricerca e della conoscenza dei sistemi di ricerca europei e internazionali | Courses are planned on the issues of design, coordination and management of research initiatives, with particular attention to those financed on EU funds, outlining their design and management criteria. Principles and techniques of scientific and economic reporting, which are essential for proper management of such planning, will also be explored. This course aims to create a common background in the aforementioned field and to develop constructive interaction among students. The course will be delivered to students of all majors. |
| Valorizzazione e disseminazione dei risultati, della proprietà intellettuale e dell'accesso aperto ai dati e ai prodotti della ricerca | A course is planned on the topics of the valorization of scientific research results, on the management of intangible assets, legal and tax aspects of technology transfer and collaboration between Universities and Enterprises, spinoffs, management of intellectual property and the definition of business models suitable for the economic valorization of high-tech products and services. This course is intended to create a common ground of experience in the above field among students. The course will be delivered to students of all majors. |
| Principi fondamentali di etica, uguaglianza di genere e integrità | A common course on the fundamentals of ethics and integrity is planned. The course will delve into aspects of ethics in research, also covering the problem of ethics in Artificial Intelligence, gender equality and integrity. These areas are increasingly relevant to the development of appropriate training for future generations of researchers. The course will be delivered to students of all majors, and the diversity of knowledge of the students taking it will be very relevant to its development. |
