Computer Science

8D06101 «Computer science»

The educational program 8D06101 “Computer Science” (EP) is aimed at preparing doctors of Philosophy (PhD) through the implementation of theoretical and (or) applied research in the fields of computability, formal methods, modeling, algorithms, as well as organizational support of engineering at the intersection of computer science and other fields of knowledge.

The program of the entrance exam

Documents for applicants for PhD

Career opportunities

A unique feature of the EP in comparison with similar programs of other universities is a hybrid methodological approach to research, the use of formal, evidence-based and empirical approaches in the implementation of projects, as well as the practical orientation of the topics of doctoral dissertations focused on the digital transformation of sectors of the economy of the Republic of Kazakhstan and the digital transformation of private business structures. Based on the competence model of the graduate, he can find a job as:

– head of digitalization in government agencies, quasi-governmental, industrial, expert, consulting companies, national development institutes, centers of industry competencies and research and production companies;

– expert analyst in government agencies, industrial, expert, consulting companies, national development institutes and centers of industry competencies;

– an employee of a research institute and (or) a research and production company;

– an employee in the field of education.

The purpose and objectives of the educational program

The purpose of the EP is the formation of the student’s competencies of research work, scientific and pedagogical activity, planning and implementation of theoretical and experimental research, identification of scientific problems and formulation of methods for their solution.

8D06 – Information and Communication Technologies

Code and classification of the field of education

D094 – Information Technologies

Group of educational programs

8D061 - Information and Communication Technologies

Code and classification of the areas of study

Educational program tasks

1) formation of students’ skills to identify technological problems, critical and expert assessment of ways to solve them and forecast expected results at the intersection of computer science and other fields of knowledge;

2) formation of students’ scientific approach to problem solving, the ability to synthesize non-obvious solutions to problems, formulate them in the form of project tasks and evaluate the progress of their execution;

3) formation of students’ scientific style of narration (presentation) to explain complex concepts and innovative ideas to the general public and the scientific community in writing and rhetoric;

4) formation of students’ skills of pedagogical, scientific and design activities, compilation of counts, publication of results in rating journals and development of scientific and technical documentation.

Requirements for evaluating the learning outcomes of an educational program

The student, after successfully mastering the EP, the graduate of the program should be able to:

to choose and (or) formulate an appropriate approach to the implementation of scientific research at the intersection of sciences;
to choose and use optimal methods of processing and interpretation of empirical or calculated data;
to set and solve applied problems in conditions of uncertainty;
generate new, complex ideas and knowledge, intelligibly explain them to the general public and scientists through written works and rhetoric;
prepare and execute scientific reports, scientific and technical documentation, write articles in rating publications;
interact with the head of scientific work, reviewer and editor of the journal in the process of writing and publishing articles;
possess approaches and tools for describing and analyzing computer systems, their components and algorithms, proving the properties of algorithms, protocols and programs, as well as be able to organize and implement work.

Learning outcomes

As a result of scientific and experimental activities, the student will be able to determine the scope and objectives of research with theoretical and practical preparation and orientation to programming, coding and computing; to compile and issue scientific reports, scientific and technical documentation in the process of writing a dissertation and/ or publishing an article in rating publications.
after successful completion of the educational program, the student will be able to synthesize and (or) select an appropriate approach to the implementation of scientific and experimental research at the intersection of sciences; choose and use methods of data processing and interpretation; set and solve applied problems with respect to appropriate models, algorithms and architectures.
after successful completion of the educational program, the student will be able to apply a project approach to science: allocate resources and organize work in accordance with the Agile Manifesto; analyze risks and interact with stakeholders based on the principles of a flexible approach.
after successful completion of the educational program, the student will be able to explain complex ideas, create conceptual diagrams, and describe the structure of systems, phenomena and processes.
after successful completion of the educational program, the student will be able to formalize algorithms, computational models and computer programs, analyze their properties; use a formal model to present the results.
after the successful completion of the educational program, the student will be able to critically analyze the properties of various classes of analytical problems and rationally synthesize a method for solving them, taking into account the aspects of validation and interpretation of the results.

List of competencies and learning outcomes of the educational program

Competencies for expanding and deepening knowledge

The graduate of the program knows: methods of scientific research at the intersection of sciences, the main philosophical paradigms of knowledge synthesis, methods of data collection and interpretation in scientific and applied research (projects), the main problems of the studied area and methods of their solution, methods and tools of project work.

Instrumental competencies

A graduate of the program plans, develops, implements and corrects the processes of scientific research, digitalization of business processes and strategic planning.

System competencies:

A graduate of the program: (1) contributes by critical analysis, evaluation, synthesis of new, complex ideas and is able to make strategic decisions based on limited and (or) unreliable data; (2) expands the boundaries of knowledge by scientifically based methods through the synthesis of new complex ideas: (3) to promote knowledge-based technological development in the academic and professional context of society.

Communication competencies

The graduate of the program effectively explains complex concepts and new ones to colleagues, the scientific community and the general public through written works, popular science publications and intelligible rhetoric.

Form of study – Full-time

Languages of instruction – English

The volume of loans – 180

Academic degree Awarded – Doctor in the profile of the educational program 8D06102 “Computer Science”