Master degree program
Business Analytics and Big Data

Business Analytics and Big Data

QUALIFICATION

  • Scientific and pedagogical direction - Master of Engineering Sciences

MODEL OF GRADUATING STUDENT

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.

Program passport

Speciality Name
Business Analytics and Big Data
Speciality Code
7M07113
Faculty
Information technology

disciplines

Big Data Analytics
  • Number of credits - 9
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to introduce undergraduates to the most important information technologies used for manipulating, storing and analyzing big data. Within the discipline the following aspects will be considered: Within the discipline the following aspects will be considered: General concept of big data. The Analytics process.

Computer models of computing
  • Number of credits - 6
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline: formation of the ability to apply the tools and methods necessary to offer algorithmic solutions to real problems that have strict theoretical limitations on the use of time and space. Within the discipline the following aspects will be considered: asymptotic notation, recursion, and the “divide-and-rule” paradigm.

Foreign Language (professional)
  • Number of credits - 6
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form practical skills in various types of speech activity in a foreign language. The training course builds the ability to perceive, understand and translate information in the modern global space, participate in scientific events to test their own research. The discipline is aimed at improving competencies in accordance with international standards of foreign language education.

History and Philosophy of Science
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to be considered on the basis of historical dynamics and in a historically changing socio - cultural context. Introduces the problems of the phenomenon of Science, which is a subject of special philosophical analysis, forms knowledge about the history and theory of Science, the laws of the development of Science and the structure of scientific knowledge, the features of science as a specialty and social institution, the role of Science in the development of society.

IT project management and startup entrepreneurship
  • Number of credits - 6
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to form theoretical knowledge, skills and practical skills of effective it project management.Within the discipline the following aspects will be considered: Basic concepts of project management. The choice of the life cycle of an IT-project. Use of flexible approaches in IT-project management.

Legal norms in IT enterprise
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to form theoretical knowledge, skills and practical skills of using it enterprise normative IT documents for decision-making in various business tasks.Within the discipline the following aspects will be considered: Legal norms in the IT enterprise: basic concepts, functions, types, classification. The information property. Protection of information property. Information risks, information security, organization of protection of information assets. Identification and valuation of enterprise information assets.

Organization and Planning of Scientific Research (in English)
  • Number of credits - 6
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline to form the ability to apply practical skills in the organization and planning of scientific research. The discipline studies: forms and methods of planning, organization and design of scientific articles and dissertations; forms of summarizing the results of scientific research in presentations, speeches, projects, articles.

Pedagogy of Higher education
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose is the formation of the ability of pedagogical activity through the knowledge of higher education didactics, theories of upbringing and education management, analysis, and self-assessment of teaching activities. The course covers the educational activity design of specialists, Bologna process implementation, acquiring a lecturer, and curatorial skills by TLA-strategies.

Psychology of Management
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The course reveals the subject, the basic principles of management psychology, personality in managerial interactions, personal behavior management, psychology of managing group phenomena and processes, psychological characteristics of the leader's personality, individual management style, psychology of influence in management activities, conflict management.

Tools and applications for Big Data business analytics
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop the ability to work with business analytics applications, as well as design and develop tools for business analytics. Within the discipline the following aspects will be considered: The concept of business intelligence. Business analytics technologies. Business intelligence platforms. Data warehouse. Use of tools and applications for business reporting and online analytical processing. OLAP and MicroStrategy for creating visualizations and dashboards. System of support of decision-making. Business Analytics and the concept of big data in the field of economic analysis.

Data for 2021-2024 years

disciplines

Applied Gueuing Theory
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the subject is to form the ability to use mathematical methods of modeling service processes and assessing the quality of mass service system (MSS) management. Content of the discilpine: Modeling of mass service phenomena. Markov chains. One-channel Markov MSS. Simulation modeling of the service process. Multi-channel Markov MSS. M/G/1, G/G/1 systems. Statistical evaluation of MSS parameters. Analysis of decision-making problems in mass service theory.

Blockchain technology
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to apply blockchain technology to optimize operations and improve business performance. Content of the discilpine: Principles of blockchain operation. Blockchain for business. Industrial application of blockchain. Types of blockchain networks, an approach to choosing the type of network. Blockchain architecture: data immutability, decentralization. Security in the blockchain. Consensus. Digital signatures. Data hashing. Mining. Introduction to smart contracts. Deployment of a smart contract. Scalability issues.

Business intelligence models
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop the ability to create analytical solutions for obtaining information from various sources using multidimensional or tabular models and data visualization tools. Within the discipline the following aspects will be considered: The conversion of complex data. The modernization of reporting.

Cloud Technologies for Big Data Analytics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to study the possibilities of using cloud technologies for processing big data, to identify requirements for cloud technologies that will allow you to use them more effectively for big data analysis. Within the discipline the following aspects will be considered: Basic concepts of cloud technologies. SAP Hana Enterprise Cloud service. Oracle Analytics Cloud Platform. Evaluating the effectiveness of cloud solutions. Secure data storage in the cloud.

Construction and analysis of algorithms
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to implement high-performance algorithms and data structures for fundamental computational problems in various fields.Within the discipline the following aspects will be considered: Basic algorithms: asymptotic writing, recursion, the divide-and-conquer paradigm, and basic data structures. Balanced binary trees, 2-3 trees, B-trees, structures for sets, hashing, text compression (Huffman encoding). Application of maximum flow algorithms Randomized selection and sorting. Automata, string matching (Boyer and Moore algorithm, Knuth-Morris-Pratt algorithm), pattern matching. Complexity classes P and NP, NP-completeness, and some NP-complete problems. The strategy of parallel design. Distributed computing algorithms.

Data Mining and Cloud Computing for Big Data Analytics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop the ability to apply methods and algorithms for data mining and visualization in solving problems of detecting implicit patterns in large data sets. Within the discipline the following aspects will be considered: Concepts, methods, and applications of pattern detection in data mining.

Data Mining and Visualization
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop the ability to apply methods and algorithms for data mining and visualization in solving problems of detecting implicit patterns in large data sets.Within the discipline the following aspects will be considered: General concepts of data mining. Concepts, methods, and applications of pattern detection in data mining. Classification method. Basic methods of data mining and analysis. Basic mining algorithms and their potential applications. Basic concepts of cluster analysis. The methodology of clustering. Methods for validation of clustering and evaluation of clustering quality. Designing the user interface. Key points of application and platform development management. Creating interface prototypes and data visualization.

Decision support systems in business management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop the ability to design and develop systems to support optimal management decisions taking into account changes in the competitive environment. Within the discipline the following aspects will be considered: The essence and content of the concept of management decision in the implementation of the business process. Assessment of the company's production capabilities. Formation of an optimal combination of production factors. Development of management decisions based on research and construction of production functions. Method of expert assessments. The development and adoption of administrative decisions on the basis of linear and nonlinear econometric models managing business processes. Prediction of the result attribute of a business process. Development of management solutions to achieve the forecast level of the resulting feature of the business process. Assessment of the adequacy and stability of the business process management process.

Dynamic modeling of business process sustainability
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to develop skills for optimal management of multi-step technological processes that ensure the stability of the business process. Within the discipline the following aspects will be considered: Concept and statement of the dynamic programming problem. The principle of step-by-step construction of optimal control. The tasks of managing business processes that are solved by dynamic programming. Method of functional equations of R. Bellman. The problem of optimal allocation of resources. Technological gaps and methods of their elimination. Classification of equipment replacement tasks. The task of replacing long-term equipment. The task of replacing hardware to prevent failure. The task of forming a branch network of business processes. The task of producing products for a given "grid" of costs and forming an optimal trajectory for the development of the business process.

ERP systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to use a set of cloud applications and enterprise resource planning tools to automate business processes. The content of the discipline: Fundamentals of enterprise resource planning (ERP). Examples of ERP systems. Business processes in ERP. Software selection. Setup, administration and use of a set of ERP products. Issues of centralization and optimization of operations. Change management. ERP implementation issues.

Integrated Design and Control Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to apply the principles and methods of building automated control systems using integrated design and control systems (ISPs). The content of the discipline: The basics of ISPs. The use of ISPs in process automation systems. Dispatch control and data collection systems. Integrated software development tools for automated systems. Fundamentals of design using integrated systems. The main elements of visualization systems and human-machine interface.

Intelligent control systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to develop control systems using artificial intelligence technologies. Content of the discipline: Modeling and control of complex systems. Adaptive control systems. Nonlinear systems. Principles of control of nonlinear systems. Identification of nonlinear systems based on artificial neural networks (INS). Management of nonlinear systems based on INS. Genetic algorithms and their applications for the control of nonlinear systems. Fuzzy systems. Fuzzy output. Fuzzy control.

Machine learning
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to apply machine learning and deep learning models in business analytics, to solve forecasting problems based on real data. The content of the discipline: Machine learning methods. Decision trees and random forests. Metric classification methods. Clustering problem. Basic evaluation metrics. Multiclass assessment. Compositions of algorithms. Neural networks. Architecture of deep neural networks. Convolutional neural networks. Recurrent neural networks. The forecasting task

Mathematical models in enterprise management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability to build mathematical models of enterprise management in accordance with the economic policy of the state. Content of the discilpine: Methodology of mathematical modeling, research and optimization of enterprise management processes in the digital economy paradigm. Dynamic programming. Network modeling. Parametric programming. Construction of production functions. Method of expert assessments. Linear and non-linear econometric models of business process management. Assessment of the adequacy and sustainability of the business process management process.

Mathematics for business analysis and planning
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to apply the methods of stochastic and statistical modeling for the analysis and planning of business processes. Content of the discilpine: Applied stochastic modeling. Poisson processes. Basic models of queues. Markov decision-making processes. Stochastic integration. Basic elements of random processes. Applied statistical modeling. Dispersion analysis. Generalized linear and nonlinear models. Methods for optimizing deterministic processes. Dynamic programming.

Methods of analysis and engineering of business processes
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline is to master the methodology of modeling, analysis and optimization of business processes. Within the discipline the following aspects will be considered: Functional and process approaches to the management of the organization. Theoretical foundations of process management. Tool systems for business modeling.

SQL and data analysis
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to develop the ability to apply advanced methods for processing and analyzing data using SQL. Content of the discilpine: Extended analysis with window functions. Correlated subqueries. General table expressions. materialized views. Time series analysis. procedural programming. SQL optimization methods. Data driven decision making in SQL. Business data analysis in SQL. Creation of reports.

Data for 2021-2024 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

Research
  • Type of control - Защита практики
  • Description - The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.

Data for 2021-2024 years