BIG DATA Analytics
Languages of instruction:
Kazakh, Russian
Specialized subjects at the UNT:
Mathematics and Computer Science
International programs:
Academic mobility; Dual Degree program
What is it?
The program is aimed at training analytical specialists in demand in public and private companies and large manufacturing enterprises, where it is necessary regularly. to analyze large amounts of data that are able to build processes for optimal data collection, operational data processing, data analysis, business process optimization, forecasting consumer behavior, analysis of statistical indicators, risk analysis, development of business solutions, etc. to improve the efficiency of the company.
The program is aimed at training specialists in the field of processing and analyzing big data. In the process of mastering the program, basic knowledge in the field of mathematics will be obtained, which will allow you to effectively master the subjects of data analysis, machine learning and artificial intelligence. You will receive skills in the development of corporate and mobile applications
- Work effectively individually and in a team, be sociable and prepared psychologically in practical activities in the specialty, in working with specialists from related industries, making managerial and technical decisions.
- Apply methods, ways of collecting and controlling the quality of information in the design of information systems and technology.
- Possess the means and programming environment, modern programming technologies, methods of setting up and debugging the transition from controlling the operation of individual devices to analyzing traffic in certain sections of the network.
- Show leadership qualities and initiative in solving actual production-technological, research, design and environmental-economic problems.
- To develop logical thinking, to form skills of drawing up mathematical models of the studied objects and processes, to be able to do mathematical analysis for subsequent forecasting and making appropriate management decisions.
- Choose methods and tools for building information protection systems, own information protection tools to ensure the specified properties of information security.
- Apply methods of searching for sources of information; analyze the quality of the information received.
- Improve independently during the entire period of professional activity, to speak a foreign language in the professional sphere at a level that allows working in an international environment.
№ | Name of discipline |
1 | Economic Theory and Microeconomics |
2 | Algebra and Geometry |
3 | Algorithmization and programming in C++ |
4 | Introduction to Research Methods |
5 | Discrete mathematics and mathematical logic |
6 | Kazakh (Russian) language 3 |
7 | Kazakh (Russian) language 4 |
8 | Mathematical analysis |
9 | Operating Systems |
10 | Fundamentals of law and anti-corruption culture |
11 | Probability theory and mathematical statistics in machine learning |
12 | Business Information Management |
13 | Physics |
14 | Foreign language 3 |
15 | Foreign language 4 |
16 | Foreign language 5 |
17 | Foreign language 6 |
18 | Data analysis and economic forecasting |
19 | Databases and database management systems |
20 | AWS solutions architect: advanced level |
21 | AWS solutions architect: foundations |
22 | Basics of AWS Cloud Technologies |
23 | Architecture of an electronic enterprise |
24 | Introduction to Machine Learning |
25 | Introduction to Python and libraries for Data processing and analysis |
26 | Information security and information protection |
27 | Object-oriented programming in JAVA |
28 | Predictive analysis and data modeling |
29 | Development of mobile applications for Android |
30 | Pattern and image recognition using artificial intelligence |
31 | Big Data collection and storage |
32 | Data visualization systems.Power Bi |
33 | Econometrics |
34 | Big Data platforms and technologies |
35 | CISCO: Computer network design |
36 | R programming |
