Data Science

Educational program «Data Science»

The program is aimed at training highly qualified specialists in the field of information systems and technologies. For this reason, some of the teachers in special disciplines are practitioners, which allows them to give undergraduates in-demand knowledge in the market and implement real projects.

language of Instructions: English, Russian, Kazakh

Duration of training:

•  7М06101 - Data Science-s.p.м (2 y.о.)
•  7M06102 - Data Science- p.м (1 y.о)

The mission of the educational program «Data Science»: Data Science — In the modern world, a company cannot be fully high-tech and competitive without using the achievements of big data analytics. Specialists who are able to properly organize analytical processes and implement high-performance data processing algorithms in distributed computing environments are especially in demand in the market due to the accelerated development of information technologies. The main mission is to contribute to the development of society by forming professional IT specialists with entrepreneurial thinking

The purpose of the educational program is: to train highly qualified specialists capable of designing, developing and effectively using big data and machine learning technologies to solve modern problems.

Educational trajectories:

Trajectories
« Data Science and Business Analytics »	«AI and Machine Learning»
The knowledge economy and the digital transformation of business define new efficiency challenges for companies in all industries. Competitiveness depends not so much on the availability of material and financial resources, as on the ability of a company to make decisions based on the analysis of large amounts of data obtained from the digital environment.	Machine learning is usually referred to as analysis methods based on Bayesian theory, which are used for pattern recognition and learning. Machine learning is based on a set of algorithms that use the provided data for training and forecasting, as well as encoding and creating algorithms for artificial intelligence

The advantage of studying: 

• Internship
• Business cases
• Strong technical background
• Practical teachers

Graduates of  "Data Science" can work in the following positions:

• Project/Product Manager in the field of Big Data, Advanced Analytics and Data Science
• Business Consultant
• Business Analyst
• Chief Data Officer
• Chief Innovation Officer
• Chief Product Office

Graduates work in companies such as:

• Too TDS Media - official partner of Google and Yandex;
• Intel
• Samsung Kazakhstan
• Deloitte
• PWC
• JetBrains
• Microsoft
• Kaspi Bank JSC
• NSK et al 

Content of the educational program:

Components	Profile direction, 1 year of study	Scientific and pedagogical direction, 2 years of study
1.Basic disciplines, including	10	35
1.1. High school component	6	20
1.2. Component of choice	4	15
1.3. Teaching practice	-	8
2.Core disciplines, including	25	49
2.1. High school component	5	5
2.2. Component of choice	10	32
2.3. Research practice	-	12
2.4. Production practice	10	-
Experimental research work of a master's student, including the implementation of a master's project	13	-
Research work of a master's student, including the   implementation of a master's thesis	-	24
Final certification	12	12
Total	60	120

 

The curriculum is divided into 4 modules:

Profile direction, 1 year of study	Number of credits	Scientific and pedagogical direction, 2 years of study	Number of credits
The basic module	10	Common modules	25
Professional module	25	Research module	44
Research module	13	Professional module	39
Final certification	12	Final certification	12

 

Disciplines of the curriculum of the scientific and pedagogical direction:

History and philosophy of science Foreign language (professional) Pedagogy of higher education Management psychology Pedagogical practice Business law Emotional intelligence The methodology of scientific research Academic writing and research Predictive analytics and data modeling Mathematical models and economic analysis Research work of a master's student, including passing an internship and completing a master's thesis Research practice Data Analytics in Excel Statistics in Data Science

Educational Trajectory я2: Data Management for Analystics