PhD in Computer Engineering 36 months PHD Programme By Al-Farabi Kazakh National University |TopUniversities
Subject Ranking

# 601-650QS Subject Rankings

Programme Duration

36 monthsProgramme duration

Tuitionfee

19,293 USDTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Formation of qualified specialists in the field of computer engineering, training of doctoral students in the areas of distributed intelligent systems, advanced parallel programming, machine learning, artificial neural networks, mobile and wireless communications, computer communications networks, advanced cryptography, computer network security, FPGA design. Based on their knowledge and skills, they will be able to use theoretical and practical concepts in order to apply and improve software and hardware development methods, software design methods in the fields of science, management, industry and teaching.
Upon completion of this educational program, it is expected that undergraduates will be able to: ON1 put into practice modern tools of intellectual analysis; ON2 apply methods for analyzing and calculating the reliability of hardware and software, methods for ensuring and improving the reliability of systems; ON3 formalize the task of monitoring security parameters by information systems; ON4 make mathematical models for high-performance computing, to perform software implementation using modern supercomputer technologies; ON5 produce and synchronize calculations immediately on a large number of computing units; ON6 check the program for compliance with the formal specification with the use of formal verification methods; ON7 perform verification of the properties of models in order to identify the shortcomings of the modeling process; ON8 manage IT projects using modern software in the industry; ON9 critically analyze, consolidate and expand data analysis concepts to create innovative analytics systems for big data; ON10 plan complex deployments of large data systems and make informed judgments based on in-depth in-depth knowledge of specialized cloud solutions; ON11 develop real-time applications for cloud services and mobile platforms; ON12 implement algorithms and network applications, client-server and P2P algorithms.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Formation of qualified specialists in the field of computer engineering, training of doctoral students in the areas of distributed intelligent systems, advanced parallel programming, machine learning, artificial neural networks, mobile and wireless communications, computer communications networks, advanced cryptography, computer network security, FPGA design. Based on their knowledge and skills, they will be able to use theoretical and practical concepts in order to apply and improve software and hardware development methods, software design methods in the fields of science, management, industry and teaching.
Upon completion of this educational program, it is expected that undergraduates will be able to: ON1 put into practice modern tools of intellectual analysis; ON2 apply methods for analyzing and calculating the reliability of hardware and software, methods for ensuring and improving the reliability of systems; ON3 formalize the task of monitoring security parameters by information systems; ON4 make mathematical models for high-performance computing, to perform software implementation using modern supercomputer technologies; ON5 produce and synchronize calculations immediately on a large number of computing units; ON6 check the program for compliance with the formal specification with the use of formal verification methods; ON7 perform verification of the properties of models in order to identify the shortcomings of the modeling process; ON8 manage IT projects using modern software in the industry; ON9 critically analyze, consolidate and expand data analysis concepts to create innovative analytics systems for big data; ON10 plan complex deployments of large data systems and make informed judgments based on in-depth in-depth knowledge of specialized cloud solutions; ON11 develop real-time applications for cloud services and mobile platforms; ON12 implement algorithms and network applications, client-server and P2P algorithms.

Admission Requirements

6+
87+

3 Years
Sep

Tuition fees

Domestic
19,293 USD
International
19,293 USD

Scholarships

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