Educational and Professional Program “Intelligent Data Analysis”
Field of Knowledge: F – Information Technologies
Specialty: F1 – Applied Mathematics
Qualification: Master of Applied Mathematics
Program Director: Leonid Mykhailovych Liubchyk
PROFILE OF THE EDUCATIONAL AND PROFESSIONAL PROGRAM “INTELLIGENT DATA ANALYSIS” FOR SPECIALTY F1 – “APPLIED MATHEMATICS”
Full name of the higher education institution and institute Level of higher education and title of qualification in the original language Program cycle/level Official name of the educational program Type of diploma and scope of the educational program Accreditation status Prerequisites Language(s) of instruction Duration of the educational program Link to the permanent location of the educational program description
National Technical University “Kharkiv Polytechnic Institute” Department of Computer Mathematics and Data Analysis
Master’s degree in applied mathematics
NQF Ukraine – Level 8 (Master’s degree), FQ-EHEA – Second cycle, EQF-LLL – Level 7
Educational and scientific program “Intellectual Data Analysis”
Master’s degree, single, 90 ECTS credits, duration of study 1 year, 4 months
Accreditation Commission. Ukraine. Certificate – ND No. 8536 dated May 28, 2024, valid until July 1, 2029.
Possession of a bachelor’s degree
Ukrainian
In accordance with the term of validity of the accreditation certificate
Reviewed annually
http://web.kpi.kharkov.ua/
To ensure the training of specialist researchers in the field of applied mathematics who are capable of formulating, solving, and generalizing complex tasks and problems in their professional activities and carrying out professional innovative activities to perform scientific and design work using fundamental and special methods of mathematical and computer sciences, developing mathematical models, algorithms, and create and operate software. The educational program is aimed at training specialist researchers who are proficient in mathematical methods and information technologies of machine learning and artificial intelligence for searching, analyzing, processing, and visualizing data, in particular measurement and observation data, texts, signals, and images for the purpose of knowledge extraction, forecasting, and decision-making.
Subject area (field of knowledge, specialty) Orientation of the educational program The main focus of the educational program Program features
Field of knowledge: F – Mathematics and statistics
Specialty: F1 – Applied Mathematics
An educational and professional program focused on research, development, and application of mathematical methods, models, and algorithms based on machine learning and artificial intelligence.
Professional focus – development of software for data, process, text, signal, and image analysis, forecasting and decision-making, knowledge search and extraction.
Specialized education in mathematics and statistics in the field of F1 – Applied Mathematics with a focus on the subject area of intelligent analysis of large uncertain data based on machine learning and artificial intelligence methods.
Keywords: data analysis, signal and image processing, pattern recognition, information retrieval, big data, knowledge extraction, mathematical models, machine learning, artificial and computational intelligence.
Experimental project-oriented educational program. Project-based learning based on integrated educational and real-world projects. Dual education at partner companies (leading IT companies). Individualized, student-centered learning. A number of courses taught in English.
Employment in IT companies and enterprises, in information and analytical departments of manufacturing and banking and financial sectors, scientific institutions, higher education institutions, etc.
Career opportunities for graduates (according to the Classification of Professions DK 003:2010).
212 – Professionals in mathematics and statistics;
2121 – Professionals in mathematics;
2121.1 – Research staff (mathematics)
2121.2 – Mathematician (applied mathematics), mathematician-analyst in operations research;
2149.2 – Research engineer (applied mathematics);
213 – Professionals in the field of computing;
2132 – Programming professionals;
2132.2 – Computer program developers.
Primary positions: research assistant, mathematician (applied mathematics), data analyst, systems analyst, software developer.
Teaching and learning Assessment
Lectures, laboratory and practical classes, scientific and practical seminars, implementation of educational and real projects, problem-oriented and demand-driven learning, student-centered learning, dual learning, distance and blended learning, independent work and self-study, practical training, preparation of qualification work.
Rating system. Current and final assessment of knowledge (questionnaires, tests and individual assignments, testing, etc.), tests and exams (oral and written), defense of academic and real projects with presentation, public defense of qualification work.
Integral competence
The ability to solve complex problems and issues in applied mathematics in professional activities or in the learning process, characterized by uncertainty of conditions and requirements, involving research and/or innovation, and requiring the application of mathematical theories, methods, algorithms, information technologies, and specialized software.
General competencies (GC)
GS 1
The ability to exercise one’s rights and responsibilities as a member of society, to understand the values of a civil (free democratic) society and the need for its sustainable development, the rule of law, and the rights and freedoms of individuals and citizens in Ukraine.
GS 2
The ability to preserve and multiply the moral, cultural, scientific values and achievements of society based on an understanding of the history and patterns of development of the subject area, its place in the general system of knowledge about nature and society, and in the development of society, technology, and engineering.
GS 3
Ability to engage in continuous learning, acquiring new knowledge and skills, including in fields other than one’s profession.
GS 4
Ability to identify, pose, and solve problems in professional activities.
GS 5
Ability to generate new ideas (creativity) and non-standard approaches to their implementation, flexibly adapt to real professional situations, demonstrate a creative approach and initiative.
GS 6
The ability to critically evaluate and rethink accumulated experience (both your own and that of others), analyze your professional and social activities.
GS 7
Ability to work with information: find and use information from various sources needed to solve professional tasks.
GS 8
The ability to communicate effectively based on the goals and situation of the conversation.
GS 9
Ability to prepare and deliver public presentations of the results obtained, prepare scientific and technical publications based on the results of research conducted, including in a foreign language.
GS 10
Ability to carry out professional scientific, design, and production activities in an international environment.
GS 11
Ability to interact and cooperate socially and professionally within a team, teamwork.
Professional competencies of the specialty
(defined by the higher education institution)
PCS 1
Ability to formulate a mathematical problem statement based on the language of the subject area, to verify the correctness of the statement, including in conditions of uncertainty.
PCS 2
The ability to select, develop, and investigate mathematical analytical or numerical methods for solving practical problems, ensuring the required accuracy and reliability of results.
PCS 3
The ability to select, develop, research, and apply mathematical methods to solve practical problems in modeling, design, management, forecasting, and decision-making.
PCS 4
Ability to develop algorithms for analyzing uncertain big data, develop appropriate software tools and documentation, design software systems, databases, and knowledge bases.
PCS 5
Ability to perform mathematical and computer modeling and computational experiments, collect, visualize, analyze, and process the obtained data, solve formalized problems using specialized software tools.
PCS 6
Ability to organize the work of a team of performers to conduct research and develop projects, make appropriate and economically sound organizational and management decisions.
PCS 7
Ability to search, study, and analyze scientific and technical information, domestic and foreign experience related to the application of mathematical methods for researching processes and systems
PCS 8
Ability to participate in the preparation of scientific and technical reports on completed design or research work and in the implementation of the results of research and development
PCS 9
Ability to communicate effectively in writing and orally in technical and scientific matters in Ukrainian and one of the common European languages.
PCS 10
The ability to select, develop, research, and apply mathematical models and methods for intelligent data analysis in conditions of uncertainty.
PCS 11
The ability to develop, research, and apply mathematical methods and algorithms of machine learning, soft computing, and computational intelligence for analyzing uncertain data, forecasting, and decision-making.
PCS 12
Ability to develop and operate specialized software tools for intelligent analysis of data, texts, signals, and images.
PCS 13
Ability to develop and operate specialized software tools for processing large data sets based on distributed and cloud computing information technologies.
PCS 14
Ability to use modern information technologies for intelligent data analysis, forecasting, decision-making, information search, and knowledge extraction
LO 1
Demonstrate knowledge and understanding of the basic concepts, principles, and theories of fundamental and applied mathematics and apply them in practice.
LO 2
Be able to formalize tasks formulated in the language of a specific subject area and choose a rational method of solution; solve problems using analytical or numerical methods, evaluate the accuracy and reliability of the results obtained, and interpret them.
LO 3
Possess methods for developing, researching, and applying mathematical models of complex objects and processes, including the use of computational intelligence methods.
LO 4
Be able to combine mathematical and computer modeling methods with informal expert analysis procedures to find optimal solutions.
LO 5
Develop algorithms for numerical research of mathematical models and data analysis, decision-making that are effective in terms of calculation accuracy, stability, speed, and consumption of system and computing resources.
LO 6
Be able to select, develop, and research methods and algorithms for solving mathematical problems in system optimization, operations research, optimal control, and decision making.
LO 7
Be able to apply modern programming and software development technologies, software implementation of numerical and symbolic algorithms.
LO 8
Be able to apply specialized software products and software systems for computer mathematics, big data analysis, etc. in practical work.
LO 9
Demonstrate skills in interacting with other people, communicating effectively with specialists and society, working in groups and teams, and managing conflicts and stress.
LO 10
Be able to collect, process, analyze, and systematize scientific and technical information while avoiding plagiarism, form and communicate judgments, and develop presentations and publications.
LO 11
Demonstrate professional communication skills, oral and written communication in Ukrainian and at least one other European language.
LO 12
Know and understand modern methods for solving mathematical problems in statistical and intellectual data analysis, forecasting, etc.
LO 13
Know and understand methods for solving mathematical problems involving intellectual information search and knowledge extraction.
LO 14
Be able to apply existing and develop new algorithms and software tools for statistical and intelligent analysis of uncertain data.
LO 15
Be able to apply existing and develop new algorithms and software tools for processing data, texts, signals, and images.
LO 16
Be able to apply modern information technologies and software for processing large data sets based on distributed and cloud services.
The list and content of educational components (general, special, specialized, elective) can be found in the curriculum at the link.
The certification of graduates of the educational program in the specialty F1 – Applied Mathematics is carried out in the form of defending a master’s thesis and ends with the issuance of a standard document awarding a master’s degree with the qualification: “Master of Applied Mathematics” in the educational program “Intellectual Data Analysis.” The certification is conducted openly and publicly.
2. LIST OF COMPONENTS OF THE EDUCATIONAL AND RESEARCH PROGRAM AND THEIR LOGICAL SEQUENCE
🔹List of components of the educational and professional program
🔹Structural and logical system
Повний зміст освітніх програм:Full Content of the Educational Programs: