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Digital Transformation and System Architectures

Language of instruction

lithuanian

Qualification degree and (or) qualification to be awarded

Master of Computing

Place of delivery

Kaunas, K. Donelaičio g. 73, LT-44249

Institution that has carried out assessment

Studijų kokybės vertinimo centras

Institution that has performed accreditation, accreditation term

Studijų kokybės vertinimo centras, 9/1/2020

Data provided or updated (date)

5/22/2024

Order on accreditation

SV6-43
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Summary of the Profile

General Description: Objective(s) of a study programme: To provide a broad range of knowledge of business digitalisation and develop skills required to systematically analyse the information storage, processing and analysis needs of various stakeholders, to design, implement, and update various databases, information systems, and business process digitalisation solutions by effectively applying modern information technologies and taking into account architectural aspects. Learning outcomes:

Knowledge and its Application: A1 Is able to explain the computer science principles and theories that are based on fundamental or applied research findings, namely, software architectures, artificial intelligence applications, system security and software quality assurance methods. A2 Is able to explain the techniques, technologies and methods applied in the area of digital transformation and business digitization, namely, architecture of organizations, semantic network technologies, expert systems and knowledge bases principles. A3 Is able to apply knowledge of business digitization and project management to develop solutions of scientific, organisational, or professional problems and to carry out scientific research.

Research Skills: B1 Is able to define at different levels of abstraction the scientific or professional problem in the area of business digitization or digital transformation, and to carry out the analysis of the problem domain. B2 Is able to analyse scientific or professional problems of business digitization or digital transformation and investigate their possible solutions, as well as identify, locate, and evaluate necessary information using databases and other sources. B3 Is able to select the most suitable information systems engineering measures-based solution of business digitization problem based on the research data. B4 Is able to evaluate critically research data, information, and results, as well as solutions of the

scientific or professional problem in the area of business digitization, and present reasoned conclusions and recommendations.

Specific Skills: C1 Is able to apply the methods of computer science in business digitization, taking into account relevant organisational, architectural, safety, and other constraints. C2 Is able select suitable methods, including model driven information systems development and project management processes, in order to examine and solve new, complex problems related to business digitization and information systems engineering. C3 Is able to model business digitization related innovative artefacts and their operational context using chosen tools, and to determine the artefacts users’ needs concerning the digitization and improvement of activities, for which the artefacts are intended. C4 Is able to prepare methodically and following model driven development principles the research specification and/or solution project aimed at examining and solving a complex problem related to business digitization or other area of information systems engineering. C5 Is able to develop an innovative artefact in order to examine and solve a complex business digitization problem while taking into account the problem’s organisational and technological environment, alternative solutions, and specified requirements, and by using chosen requirements engineering, systems design, business process digitization, information systems software development tools and technologies.

Social Skills: D1 Is able to communicate effectively and professionally in the official state and at least one foreign language with various audiences, to concisely present and explain to various listeners quantitative and qualitative aspects of the given problem as well as its available solutions or research results. D2 Is able to work effectively in teams and to manage them while using various information systems project execution and management methods and tools, acting in compliance with the principles and rules of professional and ethical behaviour as well as social responsibility.

Personal Skills: E1 Is able to learn systematically and independently, to analyse scientific literature, in pursuit of continuous personal, professional, and scientific development. E2 Is able to work independently, systematically, and responsibly, to precisely plan activities, to take the initiative and to assume personal responsibility. E3 Is able to demonstrate creativity when solving professional and scientific research related problems applying new information systems methods, technologies, and tools. Activities of teaching and learning: The studies include classroom work (lectures, practical work, laboratory work, consultation seminars, outgoing visits to enterprises, etc.) and individual work for mastering theoretical material, preparation for classroom work, intermediate and final assessments and performing other activities. The studies of each study module are completed by the assessment of the student’s knowledge and skills – an examination or another final assessment; the study programme is completed by the final degree project and its defence. The study methods of active learning, such as design (programming), design thinking, challenge-based learning,

creative workshops, group work, experiential learning, discussion, problem-based learning, reflective learning, idea (mind) mapping, etc. are applied to encourage the active participation and creativity of students in the study process. The achievements are assessed using the traditional assessment methods, such as laboratory examination, assignments, laboratory or project report, as well as other methods: work or competency file (portfolio), problem-solving task, engineering project, reflection on action, self-assessment, etc. Methods of assessment of learning achievements: The applied cumulative assessment system of the learning outcomes ensures constant and involving work of students during the entire semester of studies; the final evaluation of the study module consists of the sum of the grades of intermediate assessments and the final assessment multiplied by the weighting coefficients (percentages of components). The number of intermediate assessments and their expression in percentage are chosen by the study module’s coordinating lecturer. Besides the usual forms of assessment (for example, examination, oral presentation, project report, laboratory examination), an additional form of assessment “Assessment of student activity (level)” may be applied (up to 10% of the final grade) for the assessment of the student’s preparation for case analysis, an active discussion, participation in debates, etc. Framework: Study subjects (modules), practical training: Business Process Analysis and Digitalization, Computational Intelligence and Decision Making, Data Analytics and Visualization, Enterprise Architecture Modelling, Information Systems Project Management Technologies, Information Systems Requirements Analysis and Specification, Information Systems Software Engineering, Information Technology Security Methods, Master’s Degree Final Project, Methods for Software Quality Assurance, Product Development Team Management and Decision Making, Research Project 1, Research Project 2, Research Project 3, Semantic Models of Data. Specialisations: - Optional courses: 6 credits; instead of the expert competency (18 cr.), students can choose from the list of other field MA+ competencies. Distinctive features of a study programme: To enter, bachelor’s degree in Informatics or related study fields is not necessary. A graduate has extensive knowledge of information systems driven digital transformation, understands the enterprise business processes’ analysis methods, various information system development paradigms, system architectures and is able to apply specialised tools. The graduate is also able to prepare information system’s software specifications, integrate various data and information systems, analyse data, metadata and metamodels, perform applied research, and, at the same time, has the skillset required to apply complex criteria for evaluation and implementation of business digitalization, information systems’ exploitation or renewal solutions. Access to professional activity or further study: Access to professional activity: The graduate can work as an IT project manager, product manager, product owner, requirements analyst and information systems designer, business process analyst and business management solutions developer, business digitalisation and digital transformation strategist, ERP systems specialist and carry out research related to these areas. Access to further study: S/he has access to the third cycle studies