Master's Degree in Business analytics and Big Data Postgraduate Program By Al-Farabi Kazakh National University |Top Universities

Program overview

Main Subject

Business Analytics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

Program overview

Main Subject

Business Analytics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.

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:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide

More programs from the university

Al Farabi Kazakh National University (KazNU) offers 134 bachelor degree programs at 16 faculties, which are among the leaders in the national subject ranking in Kazakhstan. Students can join undergraduate programs in a wide range of disciplines, from the sciences (chemistry, geography, mathematics and physics) through to humanities, law, IR, languages, and journalism. Students can also select from several joint double degree programs with the leading universities from around the world.   The university bachelor degree programs train students to be critical thinkers, well-rounded lifelong learners and future leaders in their specialties. Most of the undergraduate programs of KazNU are accredited by accrediting agencies such as ASIIN, FIBAA, AQ, and ACQUIN.

Undergraduate international students usually study for four years at the individual faculties. Undergraduate study at KazNU includes lectures, seminars and laboratory work carried out in university faculties and departments. KazNU has no quotas for international admissions and around 10 percent of applicants are international students and the number increases every year.

The international admission period runs during the summer for the current academic year. International applicants register at the dedicated website, and prospective students must pass foreign language test in advance.   The application process is broadly the same for international and national students, and the university accepts school qualifications from many different countries.

Tuition fees are currently set by the university at a very competitive level. The tuition fees do not include accommodation or board.

All students find themselves in an innovative educational environment and they have access to the specialized libraries and computer facilities including access to
KazNU’s super-computer as well as to the university technopark, business incubator and startup seed capital provided by the university, businesses and other entities in the country. Every year university students can study in the world’s leading universities within the framework of “Academic mobility” program or join international summer schools.

Al-Farabi KazNU offers 268 full master degrees and 140 full PhD wide range programs which help you facilitate your career progression. The University is the main Higher Education University in preparing masters’ and PhD students. During master degree programs students have a chance to take experience in International Summer Schools and Short Intensive Programs. They funded by Ministry of Education and Science of Republic of Kazakhstan. PhD degree students must undergo 2 months international traineeship as a part of their studies. All PhD students can have one local and one international supervisor.

All postgraduate programs of KazNU accredited by Accrediting Degree Programs such as, ASIIN, FIBAA, AQA, ACQUIN. KazNU has drawn up double degree agreements with more than 20 universities and maintains partnerships with around 170 universities worldwide. KazNU embrace a wide range of interrelated disciplines and our programmes of study offer you a high degree of flexibility and choice as well as career relevance.  

Al Farabi KazNU actively involves postgraduate students to work on various innovative projects and programs, including projects conducted jointly with international organizations. For example, in summer 2018 Al Farabi KazNU established the Ban Ki-moon Institute for Sustainable Development by signing MoU with 8 th UN Secretary General Mr. Ban Ki-moon and plans to support research projects related to the implementation of the Sustainable Development Goals (SDGs)

PhD in Cadastre

::type_cta_button:: View Details

PhD in Chemistry

::type_cta_button:: View Details

PhD in Ecology

::type_cta_button:: View Details

PhD in Geodesy

::type_cta_button:: View Details

PhD in Hydrology

::type_cta_button:: View Details

PhD in Physics

::type_cta_button:: View Details

PhD in Tourism

::type_cta_button:: View Details
Postgrad programs 2146