Overview
The M.Sc. in Data Science programme at Nazarbayev University includes the following subject areas: 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.
Key facts
Digitalization is a phenomenon which now permeates nearly all human endeavor and most aspects of daily life, encompassing the spheres of education, finance, health, industry, and culture.It is now possible to collect data on the scale of Exabytes (1 billion gigabytes), from an incredibly wide range of digital sources, such as cameras, sensors (thermal, light, motion), smart phones, and medical devices. In addition to the data sources, we have enormous volumes of the routine transactional data of digitalized daily life, data that was previously uncollected or, if collected, ignored.It is not just the data but the meta-data about the data, including the details of how, when, and where it was collected, that facilitates the identification of patterns, and, conversely, anomalies, in ways that are increasingly useful. This phenomenon of high-volume data collection is motivating the creation of advanced analytic techniques that can achieve results across disciplinary boundaries.Programme Structure
Courses include:
- Probability and Statistics for Data Science
- Database Management Systems
- Innovation and Entrepreneurship
- Process and Project Management
- Research Methods
- Data Mining and Decision Support
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
International applicants from countries requiring a visa prior to arrival: July 17
All other applicants (local and international): August 17
Language
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Credits
Delivered
Campus Location
- Astana, Kazakhstan
Disciplines
Data Science & Big Data View 4 other Masters in Data Science & Big Data in KazakhstanWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
A minimum CGPA of 2.5 out of 4.0 (or equivalent).Final year students may submit the official transcript showing current courses during the application period for consideration.
Student Insurance via Studyportals Partner
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Tuition Fees
-
International Applies to you
Applies to youNon-residents16000 USD / year≈ 16000 USD / year -
Domestic Applies to you
Applies to youCitizens or residents16000 USD / year≈ 16000 USD / year
Additional Details
For residents of the Republic of Kazakhstan, payments are processed in the national currency at the internal exchange rate of 486 KZT per 1 USD, as approved by the University.
Living costs
Astana
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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