PhD in Computational Sciences and Statistics 36 months PHD Program By Al-Farabi Kazakh National University |Top Universities
Subject Ranking

# 501-550QS Subject Rankings

Program Duration

36 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The program is aimed at training high qualified scientific, pedagogical personnel, competitive in the domestic and international labor market in accordance with their needs and the prospects for the development of the country and the region. The educational program is focused on the formation of students' deep knowledge in the field of computational sciences and statistics, calculation methods, analysis of the convergence of schemes, the use of statistical methods for data analysis and forecasting based on mathematical calculations, the development of skills in the implementation of scientific research and pedagogical activities at the university and research institutes. The following areas of training are provided: - Computational methods for solving problems for partial differential equations; - Analysis of the convergence of approximation schemes for the numerical solution of problems of mathematical physics; - Construction and use of various types of computational grids with adaptation; - Formulation of differential equations based on hypotheses for setting model problems; - Using the methods of mathematical statistics on real data to select the parameters of computational models; - Predicting the development of the simulated process using numerical experiments; - Development and use of high-performance computing algorithms for the numerical solution of problems in mathematical physics; - Self-development, scientific thinking, critical analysis, allowing you to work in new research areas like quantum computing. - Computational forecasting of problems in physics, chemistry, biology, financial processes, geology, kinetics.
ON1. Conduct scientific research and obtain new fundamental and applied results, critically analyze and evaluate the results obtained, formulate sound conclusions even in conditions of incomplete or limited information;
ON2. Write scientific articles in foreign and domestic journals and inform the wide scientific community of advanced topics and research results at international and national conferences, seminars and workshops, critically assessing their significance;
ON3. Write independent scientific projects and applications, setting a theoretical or practical computational problem or a solution method that is relevant to society, implement and correct, if necessary, the process of independent scientific research;
ON4. Determine the direction and intensity of their professional development in the chosen scientific field, be able to work in a team and contribute to the development of the team and society as a whole.
ON5. Conduct research in the field of methodology of computational experiments based on approximating differential equations by methods of finite differences, volumes and / or elements.
ON6. Conduct a fundamental analysis of computational methods and difference schemes for convergence and correctness, including in the case of high-performance algorithms.Create and use correct structured, curvilinear, unstructured computational grids in computational problems;
ON7. To formulate the task of statistical analysis and evaluation in the chosen subject area, to select and apply statistical tools and software. To master new methods of applied and mathematical statistics for their use in analytical work:
ON8. Develop parallel computing algorithms for engineering problems and implement them in high-performance systems, develop quantum computing algorithms.
ON9. Use the methods of mathematical statistics on real data for the selection of parameters, adaptation and testing of computing systems based on real experiments
ON10.Use data mining methods based on deep learning, reinforcement learning to adapt the computational algorithm to effectively predict results

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The program is aimed at training high qualified scientific, pedagogical personnel, competitive in the domestic and international labor market in accordance with their needs and the prospects for the development of the country and the region. The educational program is focused on the formation of students' deep knowledge in the field of computational sciences and statistics, calculation methods, analysis of the convergence of schemes, the use of statistical methods for data analysis and forecasting based on mathematical calculations, the development of skills in the implementation of scientific research and pedagogical activities at the university and research institutes. The following areas of training are provided: - Computational methods for solving problems for partial differential equations; - Analysis of the convergence of approximation schemes for the numerical solution of problems of mathematical physics; - Construction and use of various types of computational grids with adaptation; - Formulation of differential equations based on hypotheses for setting model problems; - Using the methods of mathematical statistics on real data to select the parameters of computational models; - Predicting the development of the simulated process using numerical experiments; - Development and use of high-performance computing algorithms for the numerical solution of problems in mathematical physics; - Self-development, scientific thinking, critical analysis, allowing you to work in new research areas like quantum computing. - Computational forecasting of problems in physics, chemistry, biology, financial processes, geology, kinetics.
ON1. Conduct scientific research and obtain new fundamental and applied results, critically analyze and evaluate the results obtained, formulate sound conclusions even in conditions of incomplete or limited information;
ON2. Write scientific articles in foreign and domestic journals and inform the wide scientific community of advanced topics and research results at international and national conferences, seminars and workshops, critically assessing their significance;
ON3. Write independent scientific projects and applications, setting a theoretical or practical computational problem or a solution method that is relevant to society, implement and correct, if necessary, the process of independent scientific research;
ON4. Determine the direction and intensity of their professional development in the chosen scientific field, be able to work in a team and contribute to the development of the team and society as a whole.
ON5. Conduct research in the field of methodology of computational experiments based on approximating differential equations by methods of finite differences, volumes and / or elements.
ON6. Conduct a fundamental analysis of computational methods and difference schemes for convergence and correctness, including in the case of high-performance algorithms.Create and use correct structured, curvilinear, unstructured computational grids in computational problems;
ON7. To formulate the task of statistical analysis and evaluation in the chosen subject area, to select and apply statistical tools and software. To master new methods of applied and mathematical statistics for their use in analytical work:
ON8. Develop parallel computing algorithms for engineering problems and implement them in high-performance systems, develop quantum computing algorithms.
ON9. Use the methods of mathematical statistics on real data for the selection of parameters, adaptation and testing of computing systems based on real experiments
ON10.Use data mining methods based on deep learning, reinforcement learning to adapt the computational algorithm to effectively predict results

Admission requirements

6+
87+
3 Years
Sep

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

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A list of available scholarships around the world

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A scholarship application checklist

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More programs from the university

Al Farabi Kazakh National University (KazNU) offers 134 bachelor degree programs at 16 faculties, which are among the leaders in the national subject ranking in Kazakhstan. Students can join undergraduate programs in a wide range of disciplines, from the sciences (chemistry, geography, mathematics and physics) through to humanities, law, IR, languages, and journalism. Students can also select from several joint double degree programs with the leading universities from around the world.   The university bachelor degree programs train students to be critical thinkers, well-rounded lifelong learners and future leaders in their specialties. Most of the undergraduate programs of KazNU are accredited by accrediting agencies such as ASIIN, FIBAA, AQ, and ACQUIN.

Undergraduate international students usually study for four years at the individual faculties. Undergraduate study at KazNU includes lectures, seminars and laboratory work carried out in university faculties and departments. KazNU has no quotas for international admissions and around 10 percent of applicants are international students and the number increases every year.

The international admission period runs during the summer for the current academic year. International applicants register at the dedicated website, and prospective students must pass foreign language test in advance.   The application process is broadly the same for international and national students, and the university accepts school qualifications from many different countries.

Tuition fees are currently set by the university at a very competitive level. The tuition fees do not include accommodation or board.

All students find themselves in an innovative educational environment and they have access to the specialized libraries and computer facilities including access to
KazNU’s super-computer as well as to the university technopark, business incubator and startup seed capital provided by the university, businesses and other entities in the country. Every year university students can study in the world’s leading universities within the framework of “Academic mobility” program or join international summer schools.

Al-Farabi KazNU offers 268 full master degrees and 140 full PhD wide range programs which help you facilitate your career progression. The University is the main Higher Education University in preparing masters’ and PhD students. During master degree programs students have a chance to take experience in International Summer Schools and Short Intensive Programs. They funded by Ministry of Education and Science of Republic of Kazakhstan. PhD degree students must undergo 2 months international traineeship as a part of their studies. All PhD students can have one local and one international supervisor.

All postgraduate programs of KazNU accredited by Accrediting Degree Programs such as, ASIIN, FIBAA, AQA, ACQUIN. KazNU has drawn up double degree agreements with more than 20 universities and maintains partnerships with around 170 universities worldwide. KazNU embrace a wide range of interrelated disciplines and our programmes of study offer you a high degree of flexibility and choice as well as career relevance.  

Al Farabi KazNU actively involves postgraduate students to work on various innovative projects and programs, including projects conducted jointly with international organizations. For example, in summer 2018 Al Farabi KazNU established the Ban Ki-moon Institute for Sustainable Development by signing MoU with 8 th UN Secretary General Mr. Ban Ki-moon and plans to support research projects related to the implementation of the Sustainable Development Goals (SDGs)

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