About the program
The Master’s program in Data Science (MSc) prepares specialists capable of working with large volumes of data and transforming them into valuable analytical solutions. The program covers modern methods of data processing, analysis, and visualization, as well as the application of statistics, machine learning, and artificial intelligence.
The training is focused on developing practical skills for working with real-world data and digital systems. Graduates will be able to develop analytical models, predict trends, automate decision-making processes, and effectively apply a data-driven approach in business, science, and technology.
Based on UK credits
What knowledge and skills will you gain during the training?
- Deep knowledge in data science, statistics, and information analysis
- Skills in developing and applying machine learning and artificial intelligence models
- Ability to conduct scientific research and work with academic sources
- Practical experience in analyzing, visualizing, and interpreting complex data
- Teaching skills and participation in scientific research projects
What tasks does the specialist solve?
- Analyzes large volumes of data to identify patterns and trends
- Develops machine learning models for prediction and decision automation
- Builds data visualization systems to support managerial decision-making
- Optimizes business processes using a data-driven approach
- Conducts scientific research and develops innovative analytical solutions
Tajikhodjaeva Elvira Rashidovna
Head of the Department of “Information Technologies and Mathematics”
Systems Engineer, Tashkent State Technical University named after Beruni, 1996.
Reasons to choose this program
High demand
Data Science specialists are in demand across all industries — from IT and finance to healthcare and public administration. Companies increasingly rely on data for decision-making, which continuously drives the demand for data analysts.
Future career
Graduates can work as Data Scientists, Data Analysts, Machine Learning Engineers, Business Analysts, and data researchers in leading technology and international companies.
International opportunities
Data Science is a global profession that allows specialists to work in international companies, participate in research projects, and build careers abroad.
Salary
Data analysis is one of the highest-paid fields, offering competitive income and rapid career growth in the IT industry.
Recognized Master’s degree diploma
In accordance with Article 31 of the Law of the Republic of Uzbekistan “On Education,” diplomas issued by licensed non-state higher education institutions in the Republic of Uzbekistan are recognized equally to diplomas of state higher education institutions.
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Curriculum
The Master’s program in Data Science is aimed at developing advanced theoretical knowledge and practical skills in data analysis, machine learning, and scientific research. In the first stage, students study research methodology, fundamentals of Data Science, and innovation and project management, which form a strong foundation for further professional and academic development.
In the next stages, the program covers data analysis and visualization, machine learning, and modern computational research methods. Significant attention is given to scientific-pedagogical practice and independent research work. The program concludes with the preparation and defense of a Master’s thesis, allowing students to demonstrate their research competencies.
1st Semester
Methodology of Scientific Research
20 credits
Fundamentals of Data Science
20 credits
Innovation and Project Management
20 credits
2nd Semester
Data Analysis and Visualization
20 credits
Machine Learning
20 credits
Scientific and Pedagogical Practice
20 credits
3rd Semester
Advanced Computational Research Methods
20 credits
Scientific and Pedagogical Practice
20 credits
Master’s Thesis
20 credits
Tuition fees for the program
30 000 000 UZS
UZS/year
International students in Uzbekistan pay the indicated tuition fees. Outside of Uzbekistan, payment is made in US dollars at the exchange rate set by the Central Bank of the Republic of Uzbekistan on the day of payment.
How to pay for tuition
Admission requirements for the first year of study
To apply for admission, all applicants must submit anONLINE APPLICATION ONLY THROUGH THE UNIVERSITY’S OFFICIAL WEBSITE.
Eligible Applicants
- — Graduates of schools, colleges and academic lyceums. Applicants must be at least 16 years old by December 31, 2026.
- — Applicants must successfully pass the TIUE entrance examination.
Required Documents
- — High school certificate (Grade 11) or academic lyceum/college diploma with transcript
- — Copy of ID card
How to apply
Submit an application through the official website
Provide documents
Pass the entrance exams
Pay your tuition and become a student
Teachers of the program
Eshmatov Bakhtiyor Khasanovich
DSc, Professor of the Department of Information Technologies and Mathematics
Tashkent State University of Law, 2002
Murodullaev Bakhtiyor Tulkin ugli
PhD, Senior Lecturer of the Department of Information Technologies and Mathematics
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 2018
Turakulov Jahongir Anvarjon ugli
PhD, Senior Lecturer of the Department of Information Technologies and Mathematics
Samarkand State University named after Sh. Rashidov, 2020
Jabborov Khayitmurod Ishmumin ugli
PhD, Associate Professor of the Department of Information Technologies and Mathematics
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 2020
Frequently asked questions about the program
All questions and answersHow is admission to the Data Science Master’s program conducted?
Admission includes application submission, document verification, and an interview.
Do I need English language proficiency?
Yes, English knowledge is recommended, as some study materials and literature may be in English.
Is an IT background required?
A background in IT, mathematics, or engineering is preferred, but applicants from related fields may also be considered.
What does the interview include?
The interview assesses motivation, basic knowledge in data analytics, and readiness for master’s-level studies.
Can I apply without experience in Data Science?
Yes, if you have basic knowledge of programming, mathematics, or analytics and strong motivation to learn.
Is English-taught study available?
Yes, the program can be delivered in English depending on the format and student preparation level.
