
Educational program of the microqualification “Statistics Essentials”
Passport of the educational program
Field of Education: 6B06 Information and Communication Technologies
Field of Study: 6B061 Information and Communication Technologies
Group of Educational Programs: B057 Information Technologies
License Number for the Field of Study: KZ67LAA00019559
Credit Load: 9
Registration Number: MCCE-2022/0002
Registration Date: July 10, 2022
Languages of Instruction: Russian, English
Partner Organization: Directorate “Academy of Infocommunication Technologies” — branch of Kazakhtelecom JSC
Field of Study: 6B061 Information and Communication Technologies
Group of Educational Programs: B057 Information Technologies
License Number for the Field of Study: KZ67LAA00019559
Credit Load: 9
Registration Number: MCCE-2022/0002
Registration Date: July 10, 2022
Languages of Instruction: Russian, English
Partner Organization: Directorate “Academy of Infocommunication Technologies” — branch of Kazakhtelecom JSC
Brief description of the microqualification educational program
Main Focus of the Educational Program:
The program is aimed at training specialists in modeling production processes based on mathematical statistics and data analysis, possessing strong fundamental knowledge in mathematics and applied methods based on computational technologies.
Purpose of the Microqualification Educational Program:
To develop students’ skills in the proper application of mathematical statistics methods to various applied problems, as well as to provide students with a comprehensive set of statistical knowledge necessary for the successful use of powerful statistical analysis tools.
Objectives of the Microqualification Educational Program:
– to develop students’ holistic understanding of the principles of mathematical statistics and analysis;
– to develop skills for the conscious and rational use of modern software tools in professional activities to solve specific tasks.
The program is aimed at training specialists in modeling production processes based on mathematical statistics and data analysis, possessing strong fundamental knowledge in mathematics and applied methods based on computational technologies.
Purpose of the Microqualification Educational Program:
To develop students’ skills in the proper application of mathematical statistics methods to various applied problems, as well as to provide students with a comprehensive set of statistical knowledge necessary for the successful use of powerful statistical analysis tools.
Objectives of the Microqualification Educational Program:
– to develop students’ holistic understanding of the principles of mathematical statistics and analysis;
– to develop skills for the conscious and rational use of modern software tools in professional activities to solve specific tasks.
Expected Learning Outcomes
LO 1. Know methods of data analysis, systematization, presentation, and generalization by applying a set of methods to solve specific tasks;
LO 2. Use statistical methods to solve specific tasks;
LO 3. Be able to prepare data accurately and correctly for statistical analysis;
LO 4. Have skills in selecting and using methods of statistical processing and data analysis;
LO 5. Have skills in data analysis and statistical processing technologies using MS Excel and Wolfram Mathematica application software packages.
LO 2. Use statistical methods to solve specific tasks;
LO 3. Be able to prepare data accurately and correctly for statistical analysis;
LO 4. Have skills in selecting and using methods of statistical processing and data analysis;
LO 5. Have skills in data analysis and statistical processing technologies using MS Excel and Wolfram Mathematica application software packages.
Information on Disciplines
| № | Name of the discipline | Brief description of the discipline | Amount of credits | Amount of acad.hours | Formed competencies (codes) |
|---|---|---|---|---|---|
| 1 | Mathematical statistics | The discipline is aimed at teaching the study of the laws of random phenomena and their properties, and use them for data analysis. As a result of studying this discipline, students will know the basic concepts of probability theory and mathematical statistics and their properties, as well as be able to use probabilistic models when solving problems, work with random variables, calculate sample characteristics, evaluate the reliability of statistical data. | 4 | 120 | ПК1, ПК2, ПК5 |
| 2 | Statistics for data analysis | The discipline is aimed at studying data analysis methods for quantitative assessment of the socio-economic situation at the micro, macro and global levels; conducting statistical analysis. | 4 | 120 | ПК3, ПК4, ПК5 |
| 3 | Final certification | The purpose of the final certification of the student is to evaluate the results of training and professional competencies achieved upon completion of the study of the educational program of microqualification | 1 | 30 | — |