Your input will help us improve your experience.You can close this popup to continue using the website or choose an option below to register in or login.
Data Science — is the science of methods for analyzing data and extracting valuable information and knowledge from it. It intersects closely with such areas as machine learning (Machine
Learning) and the science of thinking (Cognitive Science) and, of course, technologies for working with big data (Big Data Analysis).
Currently, the main players in the economic world are becoming increasingly aware of the potential of operational data. They are constantly looking for ways to use their data and extract from
them as much useful information as possible. The role of data researchers is to help companies solve this problem by acquiring, storing, organizing and processing this scope of information in order to
benefit. A specialist in the field of data science and artificial intelligence should have multidisciplinary skills, starting from a thorough knowledge of mathematics and statistics up to the
development of IT tools and infrastructure that is necessary for data management and processing. In addition, research scientists must be curious and thirsty to understand the area of application in which they are working.
PhD in Data Science should:
• take and pass 1 course of theoretical training;
• pass all the necessary exams to prove the acquainting of theoretical knowledge;
• conduct research work within 3 years.
In the process of training in doctoral studies, PhD students can get all of the opportunities that are
necessary for engaging in scientific activities, in particular they have:
• access to library resources and electronic catalogs;
• opportunity to consult with their research supervisors and other professors;
• opportunity to communicate and consult with leading scientists from various foreign universities;
• possibility of undergoing foreign internships.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Data Science — is the science of methods for analyzing data and extracting valuable information and knowledge from it. It intersects closely with such areas as machine learning (Machine
Learning) and the science of thinking (Cognitive Science) and, of course, technologies for working with big data (Big Data Analysis).
Currently, the main players in the economic world are becoming increasingly aware of the potential of operational data. They are constantly looking for ways to use their data and extract from
them as much useful information as possible. The role of data researchers is to help companies solve this problem by acquiring, storing, organizing and processing this scope of information in order to
benefit. A specialist in the field of data science and artificial intelligence should have multidisciplinary skills, starting from a thorough knowledge of mathematics and statistics up to the
development of IT tools and infrastructure that is necessary for data management and processing. In addition, research scientists must be curious and thirsty to understand the area of application in which they are working.
PhD in Data Science should:
• take and pass 1 course of theoretical training;
• pass all the necessary exams to prove the acquainting of theoretical knowledge;
• conduct research work within 3 years.
In the process of training in doctoral studies, PhD students can get all of the opportunities that are
necessary for engaging in scientific activities, in particular they have:
• access to library resources and electronic catalogs;
• opportunity to consult with their research supervisors and other professors;
• opportunity to communicate and consult with leading scientists from various foreign universities;
• possibility of undergoing foreign internships.
Admission Requirements
3+
5+
87+
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Data Science
International Information Technology University, Almaty, Kazakhstan
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
Programme overview
Main Subject
Computer Science and Information Systems
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
More programmes from the university
Business and Management (3)
E-Business
E-Business
Financial Engineering
Financial Engineering
Financial Mathematics
Financial Mathematics
Financial Technologies
Financial Technologies
Information technologies in business
Information technologies in business
Innovation Management
Innovation Management
Engineering and Technology (3)
Artificial Intelligence
Artificial Intelligence
Big data analytics
Big data analytics
Biocomputing
Biocomputing
Business Analysis
Business Analysis
Computer Science
Computer Science
Computer Security
Computer Security
Computer Systems and Software Engineering
Computer Systems and Software Engineering
Computer security (DDP HOF)
Computer security (DDP HOF)
Cyberphysical Systems
Cyberphysical Systems
Data Science
Data Science
Digital Agrosystems and Complexes
Digital Agrosystems and Complexes
Engineering Mathematics
Engineering Mathematics
Hardware Means of Data Protection
Hardware Means of Data Protection
Hardware for information protection (DDP HOF)
Hardware for information protection (DDP HOF)
Immersive Technologies
Immersive Technologies
Information systems
Information systems
Mobile telecommunication technologies
Mobile telecommunication technologies
Network Security
Network Security
Network Security (DDP) HOF)
Network Security (DDP) HOF)
Radio Engineering Information Transmission Systems
Radio Engineering Information Transmission Systems
Software Engineering
Software Engineering
Telecommunication Systems and Networks
Telecommunication Systems and Networks
Social Sciences and Management (3)
Business Journalism, SMM & PR
Business Journalism, SMM & PR
Digital Journalism
Digital Journalism
International Journalism and Internet Security
International Journalism and Internet Security
TV and Radio Journalism
TV and Radio Journalism
Business and Management (3)
Project Management
Project Management
Project Management (1)
Project Management (1)
Engineering and Technology (3)
Business Analysis
Business Analysis
Computer Systems and Software Engineering
Computer Systems and Software Engineering
Computer Technologies and Cybersecurity (2)
Computer Technologies and Cybersecurity (2)
Data Science
Data Science
IT Project Management
IT Project Management
Software Engineering
Software Engineering
Telecommunication Systems and Networks
Telecommunication Systems and Networks
Social Sciences and Management (3)
Digital Media Technologies and Data Visualization
Digital Media Technologies and Data Visualization
Part-Time MBA (1)
Business Administration EMBA in IT
Business Administration EMBA in IT
Business Administration EMBA «HR DIGITAL»
Business Administration EMBA «HR DIGITAL»
Business Administration Global Executive MBA
Business Administration Global Executive MBA
Business Administration Global MBA
Business Administration Global MBA
EMBA in Digital Media and PR
EMBA in Digital Media and PR
Practical PR and Reputation Marketing
Practical PR and Reputation Marketing
Engineering and Technology (1)
Computer Systems and Software Engineering
Computer Systems and Software Engineering
Data Science
Data Science
Information systems
Information systems
Smart Systems
Smart Systems