Fundamental Computer Sciences and Information Technologies Program By Kazan (Volga region) Federal University |Top Universities

Fundamental Computer Sciences and Information Technologies

Subject Ranking

# 451-500QS Subject Rankings

Program Duration

24 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

MComp

Study Level

Masters

Study Mode

On Campus

List of basic disciplines: Theory of quantum computing and algorithms, Modern programming technologies, Machine learning, Big data analysis SAS (Statistical Analysis System) technology, Data mining, Big data in management and engineering, Statistical methods of economics and finance, Optimization methods, Models and methods of approximation in management problems, Iterative methods for solving optimal control problems.  The main practical goal of professional activity in data science is the detection of patterns in data and the extraction of knowledge from data. The skills required by a specialist are reflected in the intersection of areas of substantive expertise, practical experience in information technologies (hacking skills) and knowledge of mathematical statistics. A feature of the discipline is the priority of practical applicability of the results, that is, the success of predictions, over their causality, whereas in traditional research areas it is essential to explain the nature of the phenomenon. Data science is largely based on the methods of classical statistics and involves the study of very large heterogeneous arrays of digital information and links with information technologies. Data science assumes reliance on mathematical statistics, artificial intelligence and machine learning. The main results of the program: Graduates of the master program should receive fundamental knowledge in the field of data science and operations research and understanding of the various applications of this knowledge. Undergraduates acquire the skills of independent research work: the ability to work with the scientific literature, the ability to analyze and process data and carry out mathematical modeling in various fields, including economics, management and engineering.

Program overview

Main Subject

Computer Science and Information Systems

Degree

MComp

Study Level

Masters

Study Mode

On Campus

List of basic disciplines: Theory of quantum computing and algorithms, Modern programming technologies, Machine learning, Big data analysis SAS (Statistical Analysis System) technology, Data mining, Big data in management and engineering, Statistical methods of economics and finance, Optimization methods, Models and methods of approximation in management problems, Iterative methods for solving optimal control problems.  The main practical goal of professional activity in data science is the detection of patterns in data and the extraction of knowledge from data. The skills required by a specialist are reflected in the intersection of areas of substantive expertise, practical experience in information technologies (hacking skills) and knowledge of mathematical statistics. A feature of the discipline is the priority of practical applicability of the results, that is, the success of predictions, over their causality, whereas in traditional research areas it is essential to explain the nature of the phenomenon. Data science is largely based on the methods of classical statistics and involves the study of very large heterogeneous arrays of digital information and links with information technologies. Data science assumes reliance on mathematical statistics, artificial intelligence and machine learning. The main results of the program: Graduates of the master program should receive fundamental knowledge in the field of data science and operations research and understanding of the various applications of this knowledge. Undergraduates acquire the skills of independent research work: the ability to work with the scientific literature, the ability to analyze and process data and carry out mathematical modeling in various fields, including economics, management and engineering.

Admission requirements

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

list

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

Russia’s Kazan Federal University (KFU) offers a broad selection of bachelor’s programs, including:

    Bachelor’s degree in “Economics. International Business”;

    Specialist degree in “General Medicine” and “Dentistry”;

    Bachelor’s degree in “Petroleum Engineering”;             

    And many more fascinating courses

Undergraduate programs at KFU last four years if studying full-time, and usually involve 26 to 30 hours of study time per week.

Admission requirements

To apply for an undergraduate degree at Kazan Federal University, you must:

1. Have completed your secondary education;

2. Prove your Russian language proficiency (minimum TORFL-1);

3. Pass KFU’s entrance exam (a Russian language test, plus tests in two basic subjects relevant to the academic field chosen).

KFU provides courses in Preparatory school for those students who have little or no knowledge of the Russian language before they begin Russian-taught degree programs. Within 10 months of pre-university instruction, students gain the Russian language proficiency that meets the demands of CEFR level B1 or TORFL level 1, study in a chosen academic field (“professional profiles”) and adapt to the new educational environment and routine life. Upon completing Preparatory School, students are expected to be ready to enter the Russian-taught full-degree programs at KFU and other Russian institutions of higher education. 

Russia’s Kazan Federal University (KFU) offers a great number of master’s degrees and doctoral programs, including:

    Mathematics;

    Fundamental Informatics and Information Technologies (Data Science);

    Petroleum Engineering;

    And many more programs

Master’s degree programs at KFU require two years of full-time study and the duration of PhD programs is 3 years of full-time study.

Admission requirements for master’s degree

To be eligible for a master’s degree program at Kazan Federal University, you must:

1. Have completed a bachelor's degree (or specialist diploma);

2. Prove your Russian language proficiency (minimum TORFL-2) – if the program is taught in Russian;

3. Pass the entrance examination, which features a Russian language test and a test in basic subject relevant to the academic field chosen.

KFU provides courses in Preparatory school for those students who have little or no knowledge of the Russian language before they begin Russian-taught degree programs. Within 10 months of pre-university instruction, students gain the Russian language proficiency that meets the demands of CEFR level B1 or TORFL level 1, study in a chosen academic field (“professional profiles”) and adapt to the new educational environment and routine life. Upon completing Preparatory School, students are expected to be ready to enter the Russian-taught full-degree programs at KFU and other Russian institutions of higher education. Full information about available programs can be found here.

Admission requirements for doctoral programs

In Russia the doctoral degree system is two-tier: First doctoral degree (“Candidate of Science in …”) and Second doctoral degree (“Doctor of Science in …”).

Admissions for first doctoral degree:

    Specialist diploma or a master’s degree;Russian language proficiency (min torfl-2).

Studies last 3 years and they prepare students for research and professorial activities. Students must acquire skills in teaching methods and information technology, and pass qualifying exams in foreign language, history of sciences and in specialization. The program includes independent research as well as preparation and public defense of a thesis. After graduation students get diploma of a researcher and after preparation and public defense of the thesis, the candidate is awarded the first doctoral degree (“Candidate of Science”).

Second doctoral degree is an individual program with no fixed duration. It follows the degree “Candidate of Science”. After advanced research, preparation and public defense of the thesis, the candidate is awarded the second doctoral degree (“Doctor of Science”).

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