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Master of Science in Data Science

The Master of Science in Data Science is a two-year full-time program (120 ECTS credits) at the School of Science and Technology (SST) of Nazarbayev University. The program follows the general structure and framework of the existing SST MS programs.

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 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, 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.

Framework of the SST Computer Science Master’s Program:  

CS-SST Courses

ECTS Credits

Workload

Class Hours

Self-study Hours

YEAR 1: SEMESTER 1

Discipline Core

CSCI 501 Fundamentals of Data Science – I

6

45

120

MATH 540 Statistical Analysis

6

45

120

CSCI 507 Database Management Systems

6

45

120

Innovation

CSCI 551 Process and Project Management

6

45

120

Research

SST 591 Research Methods

6

45

120

SEMESTER SUBTOTAL:

30

225

600

YEAR 1: SEMESTER 2

Discipline

Core

CSCI 502 Fundamentals of Data Science – II

6

45

120

CSCI 504 Data Mining and Decision Support

6

45

120

CSCI 545 Big Data Analytics 

6

45

120

Innovation

SST 504 Innovation and Entrepreneurship

6

45

120

Research

SST 592 Research Seminar

6

45

120

SEMESTER SUBTOTAL:

30

225

600

YEAR 2: SEMESTER 3

Discipline Electives

Elective 1

6

45

120

Elective 2

6

45

120

Elective 3

6

45

120

Innovation

CSCI 552 Data-Driven Innovation

6

45

120

Research

CSCI 691 Thesis Proposal

6

45

120

SEMESTER SUBTOTAL:

30

225

600

YEAR 2: SEMESTER 4

Research

CSCI 692 MSc Thesis

30

0

800

SEMESTER SUBTOTAL:

30

 

800

TOTAL

120

675

2,600

To apply now, please sign up and start filling out your application.
For more information on the Data Science MSc Program, please contact Prof. Michael Lewis (mlewis@nu.edu.kz).

Application Requirements:

1) an undergraduate degree (Bachelor’s degree or equivalent) in a relevant discipline, to be determined by the Admissions Committee;

2) a minimum CGPA of 2.75;

3) the required level of English proficiency as indicated below

4) 2 letters of recommendation;

5) a personal statement of purpose;

6) submission of a valid IELTS or TOEFL test report (must be submitted).

Required Level of English Proficiency:

The absolute minimum requirement for English language proficiency test reports for admission to the Master of Science in Data Science program is overall IELTS test score of 6.5 (with sub-score requirements no less than 6.0), or the equivalent TOEFL score as posted on the ETS website.

Applicants to the Master of Science in Data Science  program, at the discretion of the Admissions Committee, can be exempted from submitting the language proficiency test report if:

  • one of their earlier academic degrees was earned in an English Speaking country;
  • their undergraduate degree was earned in a program with English as the main language of instruction;
  • the applicant is a graduate of Nazarbayev University