Educational and professional program Data Analytics
Educational and professional program Data mining
Field of knowledge: 11.Mathematics and statistics
Specialty: 113. Applied mathematics
Qualification: Bachelor’s degree in applied mathematics
Guarantor of the educational program: Akhiezer Olena Borysivna
Full name of the university and institute Degree of higher education and title of qualification in the original language Official name of the educational program Type of diploma and scope of the educational program Availability of accreditation Prerequisites. Language(s) of instruction Duration of the educational program Link to the permanent placement of the description of the educational program
National Technical University
“Kharkiv Polytechnic Institute”
Educational and Research Institute of Computer Science and Information Technology
Department of Computer Mathematics and Data Analysis
Bachelor’s degree
Bachelor of Applied Mathematics
Educational and professional program
“Data mining”
Bachelor’s degree, single,
240 ECTS credits, 3 years and 10 months
Accreditation Commission. Ukraine. Certificate – ND № 8536 from 28.05.2024 to July 01, 2029
Availability of a document on complete general secondary education
Ukrainian / English
According to the validity of the accreditation certificate
Reviewed annually
http://web.kpi.kharkov.ua/
To provide training of specialists in the field of applied mathematics who are able to formulate, solve and generalize practical problems in their professional activities using fundamental and special methods of mathematical and computer sciences, develop mathematical models, algorithms, create and operate appropriate software. The educational program is aimed at training specialists who are proficient in modern mathematical methods and information technologies for intellectual search, analysis, processing and visualization of data, including measurement and observation data, texts, signals and images for the purpose of knowledge extraction, forecasting and decision-making.
Subject area (field of knowledge, specialty, program) Orientation of the educational program Main focus of the educational program and specialization Program features
Field of knowledge: Mathematics and statistics
Specialty: Applied mathematics
Object of study: processes and phenomena that can be described mathematically.
can be described mathematically.
Learning objectives: mastering modern mathematical
methods and information technologies.
Theoretical content of the subject area: intellectual search, analysis, processing and visualization of data.
Methods, techniques and technologies: modern information
programming technologies.
Tools and equipment: computer equipment,
data processing tools.
Educational and professional program with a focus on the development and application of mathematical methods, algorithms and software products.
Professional focus – development of mathematical
methods, models, algorithms and software for analyzing data, processes, texts, signals and images, forecasting and decision-making, searching and extracting knowledge.
Specialized education in mathematics and statistics with a specialization in Applied Mathematics in the subject area of intelligent analysis of large uncertain data.Keywords: data analysis, signal and image processing, pattern recognition, big data, knowledge mining, mathematical models, machine learning, artificial and computational intelligence.
Project-oriented professional program based on the standards of the international CDIO initiative. Project-based learning based on the sequence of integrated training and real-world projects. Dual training at the base enterprises – leading IT companies. Individualization of training with a focus on the student. Teaching a number of academic disciplines in English.
Suitability for employment Primary positions: mathematician (applied mathematics), data analyst, system analyst, programmer, software developer, developer and administrator of databases and knowledge. Further education
Employment at enterprises and companies in the IT industry, in information and analytical departments of enterprises in the manufacturing, banking and financial sectors, scientific institutions, services, etc. Professional capabilities of graduates (according to the Classification of professions DK 003:2010).
Possibility of continuing education at the next second (master’s) level of higher education in the relevant educational, professional or educational and scientific programs.
Possibility of postgraduate education to obtain a professional qualification according to the relevant professional standards.
Teaching and learning Assessment.
Lectures, laboratory and practical classes, scientific and practical seminars, implementation of educational and real projects (project-based learning), problem-based learning and on-demand learning, student-centered learning, dual learning, distance and blended learning in the Office 365 system, independent work and self-study, internships, preparation of qualification work.
Current and final control of knowledge (surveys, control and individual tasks, testing, etc.), tests and exams (oral and written), defense of educational and real projects with a presentation, public defense of qualification work.
Integral competence Special (professional) competencies of the specialty (defined by the standard of higher education of the specialty) SC
The ability to solve complex specialized problems and practical problems of applied mathematics in professional activities or in the process of study, which involves the application of mathematical theories, methods, algorithms, information technologies and specialized software and is characterized by complexity and uncertainty of conditions.
General competencies (defined by the standard of higher education of the specialty) GC
GC 1
Ability to learn and master modern knowledge.
GC 2
Ability to apply knowledge in practical situations.
GC 3
Ability to generate new ideas (creativity).
GC 4
Ability to be critical and self-critical.
GC 5
Ability to conduct research at the appropriate level.
GC 6
Ability to think abstractly, analyze and synthesize.
GC 7
Ability to search, process and analyze information from various sources.
GC 8
Knowledge and understanding of the subject area and understanding of professional activities.
GC 9
Ability to communicate with representatives of other professional groups of different levels (with experts from other fields of knowledge/ types of economic activity)
GC 10
Skills in the use of information and communication technologies.
GC 11
Ability to work in an international context.
GC 12
Determination and perseverance in terms of tasks and responsibilities.
GC 13
Interpersonal interaction skills.
GC 14
Ability to realize one’s rights and responsibilities as a member of society, to realize the values of civil (free democratic) society and the need for its sustainable development, the rule of law, human and civil rights and freedoms in Ukraine.
GC 15
Ability to preserve and increase 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 technology, to use various types and forms of physical activity for active recreation and healthy lifestyle.
Activities involving the use of mathematical methods
SC 01
The ability to use and adapt mathematical theories, methods and techniques to make mathematical statements and theorems.
SC 02
Ability to perform tasks formulated in mathematical form.
SC 03
Ability to choose and apply mathematical methods to solve applied problems, modeling, analysis, design, management, forecasting, decision-making.
SC 04
Ability to select and apply numerical methods to solve optimization problems
Design activity
SC 05
Ability to develop algorithms and data structures, software tools and program documentation.
SC 06
Ability to design databases, information systems and resources.
Technological activity
SC 07
Ability to solve professional problems with the help of computer equipment, computer networks and the Internet, in the environment of modern operating systems, using standard office applications.
SC 08
Ability to operate and maintain software of automated and information systems for various purposes.
SC 09
Ability to use modern software programming and testing technologies.
SC 10
Ability to conduct mathematical and computer modeling, data analysis and processing, computational experimentation, and solve formalized problems using specialized software tools.
Organizational and management activity
SC 11
Ability to create documents of established reporting, use of regulatory and legal documents.
SC 12
Ability to organize the work of a team of executives, make expedient and economically sound organizational and management decisions, and ensure safe working conditions.
Research and development activity
SC 13
Ability to search for, systematically study and analyze scientific and technical information, domestic and foreign experience related to the use of mathematical methods to study various processes, phenomena and systems.
SC 14
Ability to understand the task statement formulated in the language of a particular subject area, to search for and collect the necessary initial data.
SC 15
Ability to formulate a mathematical problem statement based on the language of the subject area and choose a method of solving it that ensures the required accuracy and reliability of the result.
SC 16
Ability to participate in the preparation of scientific reports on research and development work and in the implementation of research and development results.
SC 17
Ability to communicate effectively in Ukrainian and in one of the official languages of the EU in a professional manner.
Special (professional, subject) competencies of the specialty (defined by the higher education institution) SC
SC 18
Ability to select and apply mathematical models and methods for statistical and intellectual analysis of data under conditions of uncertainty.
SC 19
Ability to apply mathematical methods and algorithms of machine learning, soft computing and computational intelligence to analyze uncertain data, make predictions and decisions.
SC 20
Ability to develop and operate software tools for intelligent analysis of measurement and observation data, texts, signals and images.
SC 21
Ability to develop and operate software tools for processing large amounts of data based on information technologies of distributed and cloud computing.
SC 22
Ability to use information technologies for statistical and intellectual data analysis, forecasting, decision-making, information retrieval and knowledge extraction.
PLO 01
Demonstrate knowledge and understanding of the basic concepts, principles, theories of applied mathematics and apply them in practice.
PLO 02
Master the basic principles and methods of mathematical, complex and functional analysis, linear algebra and number theory, analytical geometry, theory of differential equations, including partial differential equations, probability theory, mathematical statistics and random processes, numerical methods.
PLO 03
Formalize problems formulated in the language of a particular subject area; formulate their mathematical formulation and choose a rational method of solution; solve the obtained problems using analytical and numerical methods, evaluate the accuracy and reliability of the results.
PLO 04
Perform mathematical description, analysis, and synthesis of discrete objects and systems using the concepts and methods of discrete mathematics and algorithm theory.
PLO 05
Be able to develop and apply in practice algorithms related to the approximation of functional dependencies, numerical differentiation and integration, solving systems of algebraic, differential and integral equations, solving boundary value problems, and finding optimal solutions.
PLO 06
Master the basic methods of developing discrete and continuous mathematical models of objects and processes, analytical study of these models for the existence and uniqueness of their solutions.
PLO 07
Be able to conduct practical research and find solutions to incorrect problems.
PLO 08
Combine mathematical and computer modeling methods with informal expert analysis procedures to find optimal solutions.
PLO 09
To build algorithms that are efficient in terms of computational accuracy, stability, speed, and system resource consumption for numerical study of mathematical models and solving practical problems.
PLO 10
Know how to choose rational methods and algorithms for solving mathematical problems of optimization, operations research, optimal management and decision-making, and data analysis.
PLO 11
Be able to apply modern technologies of programming and software development, software implementation of numerical and symbolic algorithms.
PLO 12
Solve individual engineering problems and/or problems arising in at least one subject area: sociology, economics, ecology, and medicine.
PLO 13
Use specialized software products and software systems of computer mathematics in practical work.
PLO 14
Demonstrate the ability to self-learn and continue professional development.
PLO 15
Be able to organize your own activities and get results within a limited time frame.
PLO 16
Demonstrate skills of interaction with other people, ability to work in a team.
PLO 17
To be able to collect, process, analyze, and systematize scientific and technical information while avoiding academic dishonesty.
PLO 18
Communicate effectively about information, ideas, problems, and solutions with professionals and the public.
PLO 19
Gather and interpret relevant data and analyze complexities within their area of specialization to make judgments that reflect relevant social and ethical issues.
PLO 20
Demonstrate professional communication skills, including oral and written communication in Ukrainian and at least one of the official EU languages.
Programmatic learning outcomes with specialization (defined by the higher education institution) PLO
PLO 21
Know and understand modern methods for solving mathematical problems of statistical and data mining, forecasting, etc.
PLO 22
Know and understand methods of solving mathematical problems of intellectual information retrieval and knowledge extraction.
PLO 23
Be able to apply existing and develop new algorithms and software tools for statistical and intelligent analysis of uncertain data.
PLO 24
Be able to apply existing and develop new algorithms and software tools for processing measurement and observation data, texts, signals and images.
PLO 25
Be able to apply modern information technologies and software for processing large amounts of data based on distributed and cloud services.
Staffing Material and technical support Information and teaching and learning support
Complies with the staffing requirements for ensuring the implementation of educational activities in the field of higher education in accordance with the current legislation of Ukraine (Resolution of the Cabinet of Ministers of Ukraine “On Approval of the Licensing Conditions for the Conduct of Educational Activities of Educational Institutions” of December 30, 2015 No. 1187, as amended by the Resolution of the Cabinet of Ministers of Ukraine No. 365 of 03/24/2021, Annex 15-16).
Complies with the requirements for material and technical support of educational activities in the field of higher education in accordance with the current legislation of Ukraine (Resolution of the Cabinet of Ministers of Ukraine “On Approval of the Licensing Conditions for the Conduct of Educational Activities of Educational Institutions” of December 30, 2015 No. 1187, as amended by the Resolution of the Cabinet of Ministers of Ukraine No. 365 of 03/24/2021, Annex 17). There is a classroom fund and multimedia equipment.
Complies with the requirements for information and teaching and methodological support of educational activities in the field of higher education in accordance with the current legislation of Ukraine (Resolution of the Cabinet of Ministers of Ukraine “On Approval of the Licensing Conditions for the Conduct of Educational Activities of Educational Institutions” of December 30, 2015 No. 1187, as amended by the Resolution of the Cabinet of Ministers of Ukraine No. 365 of 03/24/2021, Annex 18). Teachers and students have access to the library of NTU “KPI” and its repository, as well as to the departmental library.
National credit mobility International credit mobility Training of foreign higher education students
Based on bilateral agreements between the National Technical University “Kharkiv Polytechnic Institute” and leading technical universities of Ukraine. Regulated by the “Regulation 18 on academic mobility of students, postgraduates, doctoral students, researchers and academic staff of NTU ”KhPI”
On the basis of bilateral agreements between the National Technical University “Kharkiv Polytechnic Institute” and higher education institutions of foreign partner countries.
Possible, after the applicant has completed the Ukrainian language course
The certification of graduates of the educational program of specialty 113 “Applied Mathematics” is carried out in the form of a bachelor’s thesis defense and ends with the issuance of a standardized document on the award of a bachelor’s degree with the award of qualifications: “Bachelor of Applied Mathematics” in the program “Data Mining”. Attestation is carried out openly and publicly.
Full content of the educational programs:
