PhD in Аrtificial Intelligence in Medicine 36 months PHD Program By Al-Farabi Kazakh National University |Top Universities
Program Duration

36 monthsProgram duration

Tuitionfee

19,293 USDTuition Fee/year

Scholarship

YesScholarships

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The aim of the “Artificial intelligence in medicine” educational program is to provide high-quality training of highly qualified scientific and scientific-pedagogical personnel for the system of higher and postgraduate education and scientific research in the interdisciplinary field of artificial intelligence and healthcare. The implementation of the educational program is aimed at the formation of a professional personality of a specialist capable of: - systematize and interpret scientific theories, concepts, and current trends in the field of artificial intelligence and healthcare in order to further apply this knowledge in the implementation of scientific research; - make an original contribution to expanding the boundaries of knowledge in the field of healthcare using artificial intelligence technologies; - create systems and applications using embedded systems to solve healthcare problems; evaluate and determine the significance of a product of one's own and other scientific activity, represent and defend one's own scientific opinion in a scientific discussion.
Build mathematical models of various tasks of creating a public good, determine a methodology for applying artificial intelligence methods to them, set quality assessment criteria, develop general data models and organize data exchange based on cloud computing in order to increase the likelihood of socially beneficial results. 2. Compare and select digital signal processing algorithms for various medical applications, evaluate experimental results and correlate them with appropriate design and programming methods, implement digital signal processing algorithms and design methods on embedded devices. 3. Perform the main stages of preparing medical imaging data when developing artificial intelligence algorithms, explain the current limitations for data processing, and explore new approaches to solving data accessibility problems. 4. Apply machine learning methods for medical diagnostics and analytics based on medical data, create tools for data mining. 5. Evaluate how embedded systems, artificial intelligence tools for medical care can be used to identify and assess the health effects of behavioral and environmental factors. 6. Draw up research programs, apply research methods, carry out scientific management of research on the most important scientific problems of a fundamental and applied nature, obtain the necessary data from scientific and technical documents, reports and other reference materials. 7. Conduct teaching activities in higher education institutions, introduce advanced and innovative teaching technologies, develop educational and methodological support for new courses, taking into account the social modernization of Kazakhstan and the development of the national economy. 8. To contribute in the framework of original studies that expand the boundaries of knowledge through the use of artificial intelligence in medicine, use the academic style of writing, publish research results in the form of scientific articles in Kazakh and foreign publications, be prepared for correct and tolerant interaction in society, for social interaction and cooperation to solve scientific and technical problems.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

PhD

Study Level

PHD

Study Mode

On Campus

The aim of the “Artificial intelligence in medicine” educational program is to provide high-quality training of highly qualified scientific and scientific-pedagogical personnel for the system of higher and postgraduate education and scientific research in the interdisciplinary field of artificial intelligence and healthcare. The implementation of the educational program is aimed at the formation of a professional personality of a specialist capable of: - systematize and interpret scientific theories, concepts, and current trends in the field of artificial intelligence and healthcare in order to further apply this knowledge in the implementation of scientific research; - make an original contribution to expanding the boundaries of knowledge in the field of healthcare using artificial intelligence technologies; - create systems and applications using embedded systems to solve healthcare problems; evaluate and determine the significance of a product of one's own and other scientific activity, represent and defend one's own scientific opinion in a scientific discussion.
Build mathematical models of various tasks of creating a public good, determine a methodology for applying artificial intelligence methods to them, set quality assessment criteria, develop general data models and organize data exchange based on cloud computing in order to increase the likelihood of socially beneficial results. 2. Compare and select digital signal processing algorithms for various medical applications, evaluate experimental results and correlate them with appropriate design and programming methods, implement digital signal processing algorithms and design methods on embedded devices. 3. Perform the main stages of preparing medical imaging data when developing artificial intelligence algorithms, explain the current limitations for data processing, and explore new approaches to solving data accessibility problems. 4. Apply machine learning methods for medical diagnostics and analytics based on medical data, create tools for data mining. 5. Evaluate how embedded systems, artificial intelligence tools for medical care can be used to identify and assess the health effects of behavioral and environmental factors. 6. Draw up research programs, apply research methods, carry out scientific management of research on the most important scientific problems of a fundamental and applied nature, obtain the necessary data from scientific and technical documents, reports and other reference materials. 7. Conduct teaching activities in higher education institutions, introduce advanced and innovative teaching technologies, develop educational and methodological support for new courses, taking into account the social modernization of Kazakhstan and the development of the national economy. 8. To contribute in the framework of original studies that expand the boundaries of knowledge through the use of artificial intelligence in medicine, use the academic style of writing, publish research results in the form of scientific articles in Kazakh and foreign publications, be prepared for correct and tolerant interaction in society, for social interaction and cooperation to solve scientific and technical problems.

Admission requirements

6+
87+
3 Years
Sep

Tuition fee and scholarships

Domestic Students

19,293 USD
-

International Students

19,293 USD
-

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:
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Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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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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