The Data Science program at Nazarbayev University is a two-year full-time program, consisting of 120 ECTS credits across four semesters. The program is aligned with the best- practices of the world’s leading programs, combining a thorough coverage of the fundamentals with innovative applications in a wide range of subject areas. 
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Overview

The Data Science program at Nazarbayev University will provide in-depth education in Data Science, incorporating fundamental concepts from disciplines such as Computer Science, Mathematics, Physics, Robotics, and related engineering fields. 

The program will include topics such as: Databases, Data Mining, Big Data, Business Analytics, Artificial Intelligence, Information Retrieval, Machine Learning, Deep Learning, Image and Video Processing, Bioinformatics, Cybersecurity, Data Analysis and Visualization, Mathematical and Statistical Modeling, Data Storage and Processing Infrastructures, and Cloud-based Solutions. 

The first term of study is designed to provide a foundation of the field, and immerse the students in the main topics and skills required to succeed in the program. Terms two and three will develop advanced areas of specialization, and produce a thesis project that uses real-world data for practical purposes, ideally aligned with the development priorities of the country. The final term focuses on the completion and documentation of the thesis project. 

Work after graduation

Graduates of the program might find jobs in following areas:

  • Statistician
  • Business intelligence reporting professional
  • Data Analyst
  • Data Mining or Big Data Engineer
  • Program/Project Manager 

Programme Structure

Courses include:

  • Fundamentals of Data Science
  • Data Mining and Decision Support
  • Database Management Systems
  • Statistical Analysis
  • Big Data Analytics

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
  • More information Go to the programme website

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Academic Requirements

  • This programme accepts GRE® scores. However, it does not provide a recommended score range.

    Schedule GRE®

    The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. The GRE® General Test contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.

General Requirements

  • A minimum CGPA of 2.75 out of 4.0 (or equivalent).
  • High level of English proficiency
  • Strong mathematical skills as demonstrated by ALEKS test administered by the School on a set date. Applicants who provide valid GRE or GMAT test certificate may request exemption from mathematical skills test
  • High motivation and strong interest in the program as outlined in a statement of purpose
  • A curriculum vitae
  • Two letters of recommendation.

Tuition Fee

Application fee:

  • 28 000 KZT (for non-residents of the Republic of Kazakhstan) 10 000 KZT (for residents of the republic of Kazakhstan)
Visit Programme Website

Living costs for Nur-Sultan

  • 151250 - 222350 KZT/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Merit-based scholarships for top international candidates recommended by the Admissions Committee of each School.

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