Data science
Faculty of information Technology
Name
Data science
Program code
23473
Qualification awarded
Bachelor Computer Science
Length of programme
4 years
Number of credits
240
level of qualification according to the National Qualification Framework and the European Qualifications Framework
6
Qualification level
First (Bachelor)
Discipline
Information technologies
Speciality
KnowledgeField EN
Specific admission requirements
Complete general secondary education (NQF Level 3) or higher.
Specific arrangements for recognition of prior learning
Admission was based on the results of External Independent Assessment of Ukrainian language and literature, Mathematics, Physics / Foreign Language
Qualification requirements and regulations, including graduation requirements
Programme learning outcomes
- Apply basic forms and laws of abstract-logical thinking, basics of logic, norms of the critical approach, basics of the methodology of scientific knowledge, forms and methods of analysis and synthesis; be able to acquire systematic knowledge in the field of computer science, analyze problems in terms of modern scientific paradigms, comprehend and draw substantiated conclusions from scientific and educational literature and the results of experiments.
- Apply methods of teaching, organizing and implementing, stimulating and motivating educational and cognitive activities, understanding of the Computer Science subject area; to implement the mastered concepts, theories and methods in intellectual and practical activity in the field of Computer Sciences, to comprehend the content and sequence of applying performance and actions methods, to generalize and systematize results of works.
- Apply lexical, grammatical and stylistic features of national and foreign language vocabulary, terminology in the field of Computer Science, grammatical structures for understanding and producing orally and in writing foreign texts in the professional field; communicate professionally in national and foreign languages, develop documentation in national and foreign languages on information technology systems, products, and services, read, understand and apply technical documentation in Ukrainian and foreign languages in professional activities.
- Apply teaching methods and techniques, methods of self-education, basics of scientific and research activities, methods of search, collection, analysis and processing of information; evaluate the subject of educational activity, determine the general purpose and specific tasks, choose adequate instruments to solve them and achieve results, exercise the necessary self-control, use reference books and technical documentation, develop and apply in professional activities creative abilities, organize the workplace, plan work time.
- Apply methods, techniques and technologies of information collection from various sources, content analysis of documents, data analysis and processing; use technologies and tools of search engines, methods of data and texts intellectual analysis, implement processing, interpretation and generalization of data.
- Understand the main stages of the creative process, the role of goal proper formulation and objectives for their achievement in Computer Science, human creativity, the genesis mechanism and development of knowledge, methods of generating ideas, creativity as a universal process of generating unusual ideas; show curiosity, risk-taking, the ability to think, be inspired by new ideas, implement them, encourage others, combine and experiment.
Form of study
Full-time form
Examination regulations and grading scale
The final evaluation of learning outcomes at the University is carried out on a single 100-point scale. The assessment of the applicant corresponds to the ratio established of the level of professional and general competencies to the planned learning outcomes (as a percentage). The minimum positive level of assessment is 60 points. According to the results of exams, according to the results of course and diploma works (projects); based on the results of work in practice, the student is also graded on a 4-point scale: “Excellent”, “Good”, “Satisfactory”, “Unsatisfactory”. If the final exam is not conducted in the disciplines, the results of the applicant’s work are evaluated on a 2-point scale: “Passed” or “Fail”.
Оbligatory or optional mobility windows (if applicable)
Work placement
Work-based learning
Director of the course
Faculty of information Technology
Occupational profiles of graduates
Graduates can work in government agencies, banking institutions, organizations, and enterprises of all forms of ownership of various sectors of the economy in the development and maintenance of information systems; in international, governmental, and non-governmental scientific institutions, enterprises, firms, organizations of the IT sector of the economy; in international, governmental and non-governmental organizations and institutions specializing in the provision of information, analytical and consulting services.
Graduates can work in the following occupations: database administrator, data administrator, access administrator, system administrator, computer software engineer, software engineer, programmer (database), application programmer, computer application engineer, information technologies specialist, software development and testing specialist, computer program development specialist, etc.
Access to further studies
Access to programmes of the Second (Master) level of the higher education. Has the right to acquire additional qualifications in the adult education system.
Subjects
As part of the curriculum, students study the following disciplines
Code: ОК 01,
Code: ОК 02,
Code: ОК 03,
Code: ОК 04,
Code: ОК 05,
Code: ОК 06,
Code: ОК 07,
Code: ОК 08,
Mathematics for Computer Science
Code: ОК 09,
Algorithmization and Programming
Code: ОК 10,
Code: ОК 11,
Computer Systems Architecture
Code: ОК 12,
computer networks
Code: ОК 13,
Object-oriented Programming
Code: ОК 14,
Algorithms design and analysis
Code: ОК 15,
Code: ОК 16,
Numerical Methods
Code: ОК 17,
Databases and Knowledge Bases
Code: ОК 18,
Operations Research
Code: ОК 19,
Operating Systems
Code: ОК 20,
Software Design
Code: ОК 21,
Fundamentals of Computational Intelligence
Code: ОК 22,
Code: ОК 23,
Code: ОК 24,
Design and development of web applications
Code: ОК 25,
System Analysis and Information System Design
Code: ОК 26,
Data Mining
Code: ОК 27,
Systems Simulation
Code: ОК 28,
Information protection technologies and cyber security
Code: ОК 29,
Entry to specialty
Code: ОК 30,
Computer Graphics Basics
Code: ОК 31,
Code: ОК 32,
Preliminary data analysis and preparation
Code: ОК 33,
Coursework in Data Analytics
Code: ОК 34,
roject and Technological Practical Training
Code: ОК 35,
Diploma Research
Code: ОК 36,
Bachelor's Thesis
Code: ОК 37,
Image Recognition and Cluster Analysis
Code: ВК2.2,
Code: ВК2.3,
Code: ВК2.4,
Code: ВК2.5,
Code: ВК2.6,
Evolutionary Computation
Code: ВК2.7,
Course Project in Applied Analytics
Code: ВК2.8,
Code: ВК2.9,
Code: ВК2.10,
Fuzzy sets and fuzzy logic
Code: ВБ1.10,
Decision-making methods
Code: ВБ 1.2,