Data Science Program By International Information Technology University |Top Universities
Program Duration

48 monthsProgram duration

Scholarship

YesScholarships

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program 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”.

Program 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

Undergraduate

24+
5+
87+
Jun

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:
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Where to look for scholarship opportunities

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More programs from the university

IITU offers 27 undergraduate courses:

  •   Informatics and organization of digital education
  • Computer physics
  • E-business
  • Innovation management
  • Financial Engineering
  • Financial technologies
  • Business Journalism, SMM & PR
  • Digital Journalism
  • International journalism and Internet security
  • TV and radio journalism
  • Computer science
  • Big Data Analytics
  • Business Analysis
  • Information systems
  • Computer systems and software engineering
  • Cyberphysical systems
  • Networking and System Administration
  • Software Engineering
  • Financial Mathematics
  • Data science
  • Engineering Mathematics
  • Biocomputing
  • Computer security
  • Hardware security
  • Network Security
  • Telecommunication systems and networks
  • Wireless information systems

The average tuition fees for international students at undergraduate level is US$3,500.

IITU offers 11 Master’s courses:

  • Software Engineering
  • Computing Technology and Software
  • Business Analytics
  • IT Project Management
  • Engineering Mathematics
  • Data Science
  • Financial Mathematics
  • Financial Technology
  • Digital Media Technologies and Data Visualization
  • Telecommunication Systems and Networks
  • Project Management

IITU offers 5 PhD courses:

  • Computer and Software Engineering
  • Computing Technology and Software
  • Intelligent Systems
  • Information Systems
  • Data Science

International students will pay US$4,500 The average tuition fees for international students to obtain Master’s degree is US$4,500 and for PhD studies are US$7,000. 

Undergrad programs