- Main page
- PhD program
- Educational programs
- Computer Science
Computer Science
QUALIFICATION
- Scientific and pedagogical direction - Doctor of Philosophy (PhD)
MODEL OF GRADUATING STUDENT
1.Interpreting fundamental concepts in computer science and new programming paradigms, applying them in software design and development.
2.Contributing to the original research that expands the boundaries of knowledge by developing a significant amount of work, publish the research results in the form of scientific articles in Kazakhstan and foreign publications.
3.Analyzing and evaluating the reliability and fault tolerance of computer systems.
4.Comparing, analyzing and interpreting complex experimental data and draw conclusions.
5.Exploring computational complexity and stability of algorithms.
6.Applying big data processing and data mining methods to solve resource-intensive tasks.
7.Developing computational algorithms for engineering tasks and implementing them in high-performance systems.
8.Write research documents, plan and manage computer science projects, improve scientific productivity, work with databases, and conduct large-scale computational experiments for interdisciplinary and international applications.
9.Organize research, design and educational and professional activities, participate in scientific, government and industrial research as part of a team, be prepared for correct and tolerant interaction in society, for social interaction and cooperation to solve scientific and technical problems.
10.Master artificial intelligence techniques that enable you to design, implement, and critically evaluate complex models and algorithms to solve complex data analytics problems.
11.Presenting cutting-edge topics and research results at international and national conferences, seminars and workshops both in front of specialists and in an audience that does not have relevant professional training.
12.Critically analyzing, evaluating and synthesizing new and complex ideas in the field of computer science.
Program passport
disciplines
Data for 2023-2026 years
disciplines
Data for 2023-2026 years
INTERNSHIPS
Data for 2023-2026 years