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Nazarbayev University M.Sc. in Data Science
Nazarbayev University

M.Sc. in Data Science

Astana, Kazakhstan

2 Years

English

Full time

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On-Campus

Key Summary

    About: The M.Sc. in Data Science is designed to equip students with the analytical and programming skills needed to manage and interpret large data sets. This one-year full-time program includes hands-on projects and a strong emphasis on practical applications of data analysis. You'll explore sophisticated data analysis techniques, programming languages, and machine learning technologies that are pivotal in today’s data-driven landscape.
    Career Outcomes: Graduates can pursue careers as data scientists, data analysts, business intelligence analysts, or machine learning engineers. They’ll find opportunities in various industries, including finance, healthcare, tech, and consulting.

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Introduction

The Master of Science in Data Science is a two-year program full-time program (120 ECTS credits) at the School of Engineering and Digital Sciences (SEDS) at Nazarbayev University. Data Sciences is the scientific discipline that covers the full range of the data life cycle. It includes both theoretical and practical methods for organizing, processing, and analyzing the data and transforming data into information and, increasingly, information into actionable “intelligence”.

The first term of study is designed to provide a foundation in the fundamentals of the field and to provide a baseline for all incoming admissions streams from several related but distinct fields of undergraduate study. The program includes discipline core courses and a set of topical electives that provide the continuity of study across the two years.

The program includes discipline core courses and a set of topical electives that provide the continuity of study across the two years. The discipline courses are augmented by an arc of courses that provide milestones for program advancement and completion of the Thesis. This arc consists of a course in Research Methods, Research Seminar, a Thesis Proposal, and then a final term to conclude and defend the work.

The program offers a research-and student-centered education. The balance of emphasis on fundamentals, recent computational innovations, big data analytics, and applied artificial intelligence will stimulate and accelerate knowledge discoveries. The program requires a 30 ECTS thesis as part of the degree completion requirements. Students are encouraged to present their research findings at international conferences and to publish their results in scientific journals.

General information

  • Campus: Astana, Kazakhstan
  • Language: English
  • Delivery mode: Full-time, on-campus
  • Duration: 2 years
  • Total ECTS credits: 120

School of Engineering and Digital Sciences

Nazarbayev University’s School of Engineering and Digital Sciences (NU SEDS) has designed all of its programs to revolutionize the traditional engineering and science learning environment of lectures and laboratories to include modern components that engage students in project-based exercises in critical thinking.

As world-class leaders in STEM education, all NU SEDS graduates enter the global marketplace as highly skilled experts in their chosen field of study. Our graduates go on to become innovators who overcome the obstacles in Central Asia and Eurasia’s advanced technology industries.

The SEDS promotes a mission of utilizing advanced technologies and research to shape student expertise and train them in critical thinking and inventive design.

Graduates of NU SEDS are coveted in the global engineering and digital science community because of our students’ interdisciplinary perspectives essential to advancing modern industry and infrastructure.

Strategic partners of Nazarbayev University

  • Duke University, Fuqua School of Business (USA)
  • The National University of Singapore, Lee Kuan Yew School of Public Policy (Singapore)
  • The University of Pennsylvania (USA)
  • The University of Cambridge (UK)
  • Colorado School of Mines (USA)
  • The University of Wisconsin-Madison (USA)
  • The University of Pittsburgh Medical Center (USA)
  • The Lawrence Berkeley National Laboratory (USA)
  • The Oak Ridge Associated Universities (USA)

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