7M07113 Business Analytics and Big Data

Цель: The purpose of the educational program "Business Analytics and Big Data" is to train highly qualified specialists in the field of data extraction, transformation and loading, predictive analytics and data-driven decision making, who have the technical, analytical and communication skills to manage large data sets in order to meet business needs.

Предметы на ЕНТ: Theoretical fundamentals of electrical engineering и Linear systems of automatic regulation

Educational program

The purpose of the educational program "Business Analytics and Big Data" is to train highly qualified specialists in the field of data extraction, transformation and loading, predictive analytics and data-driven decision making, who have the technical, analytical and communication skills to manage large data sets in order to meet business needs.

ON 1 to Use the conceptual apparatus, methods, techniques and technologies for the development and optimization of data collection tools (data mining) based on the analysis and synthesis of information data flows characteristic of the banking sector, Internet Commerce, IoT, social networks, data measuring devices of complex technical objects(TO), DC servers;
ON 2 to Carry out comparative–regression, comparative-probabilistic, system and structural analysis for modeling and formalization of large information data flows of the Internet space;
ON 3 Solve network technical, economic-marketing, banking, information and forecast - extrapolation problems based on the analysis of information with a large amount of data to structure this information into a single, understandable and formalized mathematical model;
ON 4 Process server data, THEN, Internet sources using methods of mathematical statistics and new information technology, computer technology using modern hardware and software Hadoop & MapReduce;NoSQL database
Data Discovery class tools;
ON 5 to Correlate methodological foundations of mathematics, control and decision-making theory, Informatics, information security systems, to distinguish between discussion concepts and paradigms widely discussed in the modern foreign and domestic scientific and technical environment;
ON 6 Effectively generate analytical reviews and generate accurate forecasts for management decision-making based on dynamic, structured and processed sources of diverse DC information, Internet resources, the readings of numerous sensors of complex;
ON 7 Create new knowledge bases and segments in the DC. To design pilot Big Data Analytics for MAINTENANCE and business processes with the formation of mathematical models for processing large data flows of al Farabi KazNU;
ON 8 Create projects on GeoJinni (new version of SpatialHadoop) that allows you to add geospatial functions to various hadoop layers and components for storing, processing, and indexing large GEODATA;
ON 9 to Form pilot courses for training of employees of business companies, to conduct trainings on big data, machine learning and development of interfaces. Be able to present the conceptual apparatus ML/AI/Big Data and their applications transparently and clearly;
ON 10 Have the skills to use Oracle package programs to process data of specific big Data sources in context search and storage of data on servers;
ON 11 Apply Big Data analyst methods to study the relevant needs of customer groups of business processes to determine the non-selling and most marginal groups of services and products;
ON 12 to Use skills of work with information from various literary sources, to represent it in various forms of messages, presentations and reports taking into account specifics of audience, justifying and competently expressing the point of view on problem questions. Work effectively as a team in the search and solution of research problems of OP.

Master's degree educational programs

Persons entering the master’s degree or residency:
when applying to organizations of university and postgraduate education:
1) an application addressed to the head of the organization of higher and postgraduate education in any form;
2) document on higher education (original);
3) certificate of completion of the internship (for admission to residency);
4) identity document (required for personal identification);
5) six photographs 3x4 centimeters in size;
6) a medical certificate in the f

Curriculum

СЕМЕСТР 1

Research Seminar-1 ECTS
Dissertation Writing-1 ECTS
History and philosophy of science-3 ECTS
Pedagogy of Higher education-5 ECTS
Mathematics for Business Analysis and Planning-5 ECTS
SQL and Data Analysis-5 ECTS
Applied Gueuing Theory-5 ECTS
Mathematical Models in Enterprise Management-5 ECTS
Computer Models of Computing-5 ECTS
Legal Norms in IT Enterprise-5 ECTS

СЕМЕСТР 2

Organization and Planning of Scientific Research (in English)-5 ECTS
Pedagogical-4 ECTS
Big Data Analytics-5 ECTS
Decision Support Systems in Business Management-5 ECTS
Construction and Analysis of Algorithms-5 ECTS
Psychology of Management-3 ECTS
Foreign Language (professional)-5 ECTS
Dissertation Writing-2 ECTS
Research Seminar-1 ECTS

СЕМЕСТР 3

Research-4 ECTS
Dissertation Writing-1 ECTS
Tools and Applications for Big Data Business Analytics-5 ECTS
IT Project Management and Startup Entrepreneurship-5 ECTS
Methods of Analysis and Engineering of Business Processes-5 ECTS
Data Mining and Visualization-5 ECTS
Cloud Technologies for Big Data Analytics-5 ECTS
Business Intelligence Models-5 ECTS
Blockchain Technology-5 ECTS
Dynamic Modeling of Business Process Sustainability-5 ECTS

СЕМЕСТР 4

Dissertation Writing-10 ECTS
Scientific Internship-3 ECTS
Publication in the Proceedings of International Conferences-4 ECTS
Final Attestation-8 ECTS
Research-4 ECTS
Research Seminar-1 ECTS

Employment

Graduates of the Master's program in Business Analytics and Big Data can work in various industries and organizations that require the analysis of large amounts of data to make decisions and improve business efficiency. Some of the key industries and organizations include: Technology companies: Companies like Google, Amazon and Microsoft collect and analyze huge amounts of data to justify their business decisions. Graduates can work as data analysts, data scientists, or business intelligence specialists, using data and analytics tools to help these companies understand their customers, markets, and operations. Financial Services: The financial services industry collects and analyzes huge amounts of data to support risk management, customer segmentation, and investment decision-making. Graduates can work as data analysts, risk managers or financial analysts, using data and analytical tools to support decision-making in the financial services industry. Retail and Consumer Goods: Retail and consumer goods companies use data and analytics to understand consumer behavior, improve supply chain management, and drive sales. Graduates can work as data analysts, marketing managers, or supply chain analysts, using data and analytics to support decision-making in retail and consumer products. Healthcare: The healthcare industry collects and analyzes large amounts of data to support patient care, public health management, and medical research. Graduates can work as data analysts, healthcare administrators, or research scientists, using data and analytics to support healthcare decision-making. Government organizations: Government organizations collect and analyze large amounts of data to justify policy decisions, improve the quality of public services and ensure compliance with requirements. Graduates can work as data analysts, policy consultants, or regulatory compliance specialists, using data and analytics to support decision-making in government organizations. Management Consulting: Management consulting firms use data and analytics to support decision-making and improve the business efficiency of their clients. Graduates can work as management consultants, using data and analytics to support their clients' decision-making.

Contacts

Madina Mansurova Position: Head of the Department of Artificial Intelligence and Big Data, docent Al-Farabi Kazakh National University 71 Al-Farabi Avenue, Almaty, Republic of Kazakhstan, 050040 phone: +77014151960