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The need for the emergence of such a profession was dictated by the fact that when dealing with Ultra Big Data, the data arrays become too large to handle them via standard means of mathematical statistics. Every day thousands of petabytes (1015 bytes = 1024 terabytes) of information pass through the servers of companies all over the world. In addition to such data volumes, the problem is complicated by their heterogeneity and high update rate.
Data Scientist, like a real scientist, not only collects and odellin data, but also studies them in different contexts and from different angles, questioning any assumptions. The most important quality of a data expert is the ability to see logical connections in the system of collected information, and to develop effective business solutions based on quantitative analysis. In today’s competitive and fast-paced world, in the ever-growing flow of information, Data Scientist is indispensable for management to make the right business decisions. Individually, a statistician, a system analyst, or a business analyst cannot solve problems with such data volumes. This requires a person with an interdisciplinary education, competent in mathematics and statistics, economics and business, computer science and computer technology.
The main task of Data Scientist is the ability to extract the necessary information from a wide variety of sources, using information flows in real time; establish hidden patterns in data arrays and statistically analyze them to make competent business decisions. The workplace of such a specialist is not 1 computer or even 1 server, but a cluster of servers.
Our approach involves both covering the basic skills of the specialty MKM, and through the capabilities of the subjects of choice to cover the necessary elements of training in the field of “Data science”.
At the same time, the student is left with the possibility of taking, at his discretion, additional subjects as free electives (free electives) – these may be subjects from any specialty.
Meetings conducted by the IITU marketing service and analysis of surveys conducted among graduates of the NIS, physical and mathematical schools showed that about 20 percent of graduates seriously think about the profession of “data analyst”.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
The need for the emergence of such a profession was dictated by the fact that when dealing with Ultra Big Data, the data arrays become too large to handle them via standard means of mathematical statistics. Every day thousands of petabytes (1015 bytes = 1024 terabytes) of information pass through the servers of companies all over the world. In addition to such data volumes, the problem is complicated by their heterogeneity and high update rate.
Data Scientist, like a real scientist, not only collects and odellin data, but also studies them in different contexts and from different angles, questioning any assumptions. The most important quality of a data expert is the ability to see logical connections in the system of collected information, and to develop effective business solutions based on quantitative analysis. In today’s competitive and fast-paced world, in the ever-growing flow of information, Data Scientist is indispensable for management to make the right business decisions. Individually, a statistician, a system analyst, or a business analyst cannot solve problems with such data volumes. This requires a person with an interdisciplinary education, competent in mathematics and statistics, economics and business, computer science and computer technology.
The main task of Data Scientist is the ability to extract the necessary information from a wide variety of sources, using information flows in real time; establish hidden patterns in data arrays and statistically analyze them to make competent business decisions. The workplace of such a specialist is not 1 computer or even 1 server, but a cluster of servers.
Our approach involves both covering the basic skills of the specialty MKM, and through the capabilities of the subjects of choice to cover the necessary elements of training in the field of “Data science”.
At the same time, the student is left with the possibility of taking, at his discretion, additional subjects as free electives (free electives) – these may be subjects from any specialty.
Meetings conducted by the IITU marketing service and analysis of surveys conducted among graduates of the NIS, physical and mathematical schools showed that about 20 percent of graduates seriously think about the profession of “data analyst”.
Admission Requirements
24+
5+
87+
Jun
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
48 monthsProgramme duration
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BEng
Study Level
Undergraduate
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.
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