MAGISTRATURE

DATA SCIENCE (MSC)

QUALIFICATION OBJECTIVES OF THE PROGRAMME

TIUE ‘s Master of Science in Data Science program is aimed at those who want to connect their future to the field of data science as a highly skilled professional, higher education educator, and professional scientific researcher.

The purpose of training in this program is to master theoretical knowledge and acquire practical skills in the field of data science, to develop pedagogical competencies for the training of highly qualified specialists who will be able to carry out teaching activities in higher education, as well as to conduct research activities.

The teaching, methodological and scientific content of the Master’s program in Data Science includes various modules aimed at developing knowledge and skills in data science as well as scientific research in this field
Language of instruction: O’ZBEK / RUS / ENGLISH
Modes of study:Full-time training Monday through Saturday.
A Master’s degree (TIUE ) is awarded upon completion of the Data Science specialization.
Students who successfully complete their studies in English and in accordance with OTHM requirements have the opportunity to obtain an additional OTHM Level 7 Diploma in Data Science (610/2153/2).

Master’s Degree Requirement: 6 compulsory modules (subjects) totaling 180 credits (UK Credit System) must be mastered.
 
Term of study:
 
1.5 academic years (consists of 3 semesters)
.
 
Classes are held during the day in the form of lectures, seminars, practical classes, master classes and industrial practice.
Scientific and pedagogical work and thesis are carried out under the guidance of a supervisor.

OPEN THE DOORS TO A MODERN WORLD OF POSSIBILITIES!

REASONS FOR CHOOSING THIS PROGRAMME

1THEORETICAL KNOWLEDGE AND PRACTICAL SKILLS

Through this program, TIUE aims to develop theoretical knowledge and practical skills applicable to professional, teaching and research activities in data science.
The program is also suitable both for those who are already active professionals in the field of information technology and data science and for those who aspire to become highly qualified professionals as well as educator-researchers in the field.

2STRONG TEACHING TEAM

The strongest faculty, including both local and international specialists, who pay special attention to practical training – seminars, retreats, master classes – ensuring intensive interaction of all participants of the educational process and transfer of valuable experience from practicing experts and professionals in the field of education.

3RECOGNIZED HIGHER EDUCATION DEGREE

Upon completion of the Master’s program, graduates will receive appropriate professional teacher training and a Graduate Diploma in Data Science.

4CAREER OPPORTUNITIES

Today, in the era of informatization and digitalization, the amount of data that is collected and analyzed increases every year, and therefore specialists in this field are becoming more and more in demand.
Graduates of the program will have the necessary knowledge for professional activity both in the state and non-state sector of information technologies, as well as will be able to carry out teaching activities in higher education, research work, as well as continue their studies in the relevant doctoral programs.

Possible employment specialties:

  • Data Analyst;
  • Big Data Engineer;
  • The educator in higher education;
  • Scientific Researcher.

Tadjixodjaeva Elvira Rashidovna
Head of the Department of Information Technology and Mathematics Tashkent State Technical University named after Abu Rayhon Beruni,
Systems Engineer, 1996 Tashkent Pedagogical
University named after Nizami,
Practical Psychologist, 2005

LEARNING STAGES

1 YEAR

Acquisition of fundamental knowledge through the study of modules on research methodology, data science, innovation and project management, data analysis and visualization, machine learning.
There is also provision for research and teaching work.

1 YEAR

Development of theoretical knowledge and practical skills through the study of advanced computer research methods.
The fulfillment of scientific and pedagogical work is also envisaged.
The training is completed by preparing and writing a master’s thesis.

CURRICULUM

Full-time education

MAGISTRATURA
1-SEMESTR
1) Methodology of Scientific Inquiry (20-credit)

2) Foundations of Data Science (20-credit)
3) Innovation and Project Management (20-credit)
2-SEMESTR
4) Data Analysis and Visualization (20-credit)

5) Machine Learning (20-credit)
6) Research and Teaching (20-credit)
3-SEMESTR
1) Advanced Computing Research Methods (20-credit)

2) Research and Teaching (20-credit)
3) Master’s Thesis (20-credit)

Note.
All credits are listed under the UK education system. Depending on the language of instruction, there may be slight differences in the Curriculum. At the same time, the University has the right to make some changes and additions to the Curriculum.

OUR PROFESSORS AND TEACHERS Learn More ›

OUR PROFESSORS AND TEACHERS Learn More ›

Sadritdinova Zulfiya Isroilovna

Associate Professor of the Department of Information Technology and Mathematics, PhD in Physics and Mathematics
Namangan State Pedagogical Institute, 1974

Chay Zoya Sergeevna

Doctor of Philosophy (PhD), Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Information Technology and Mathematics
Tashkent State University, 1981
 

Murodullaev Baxtiyor Tolqin ugli

PhD, Senior Lecturer of the Department of Information Technology and Mathematics
Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 2018

Ro’ziev Ulug’bek Shuhratovich

Lecturer of the Department of Information Technology and Mathematics
Mirzo Ulugbek National University of Uzbekistan, 2019
 

TUITION FEE

For the school year

 

 


Programs

 

 


Form of training

 

 

Duration of training (academic year)

Payment-amount of contract
PROGRAMS IN UZBEK AND RUSSIAN LANGUAGES ENGLISH PROGRAMS
Local
for students
(thousand Sum)
For international students
(USD)
Local
for students
(thousand Sum)
For international students
(USD)
DATA SCIENCE (MSC) Full-time study 1,5 30 000 000 2 500 35 000 000 2 800

*) International students on the territory of Uzbekistan pay tuition fees in US dollars, at the exchange rate set by the Central Bank of the Republic of Uzbekistan on the day of payment. Outside Uzbekistan, the payment is made in US dollars, in the specified amount.

ADMISSION REQUIREMENTS

Admission to the first year of study

Necessary documents:

  • Document confirming secondary or specialized secondary education (certificate/diploma with an attachment)
  • Copy of passport / ID-card
  • A 5×5 photo on a white background

Academic Requirements:

  • Successful completion of the internal math exam;
  • To study in TIUE programs, all applicants must apply ONLINE ONLY ON THE UNIVERSITY’S OFFICIAL WEBSITE(tiue.uz).

For TIUE programs, all applicants must apply ONLINE ONLY through the UNIVERSITY’S OFFICIAL WEBSITE (www.tiue.uz)

Data Science (MSC)

Today’s world is built on data. Behind every technology, service or application lies a complex system for collecting, analysing and processing information. That is why the profession of scientist is not just a trend, but also a response to the challenges of the digital economy. Applicants choose the Data Science master’s programme because it combines mathematics, computer science and machine intelligence — a set of skills necessary for effective solutions and real impact on the future.

Data Science Master’s Programme in Tashkent

Studying for a master’s degree in Data Science at TIUE is an opportunity to delve deeper into the tools and methods of working with large amounts of information. Our university provides not just a basic education, but a comprehensive view of modern technologies that are used in business, science and government systems. The high level of education and specialised training are aimed at developing specialists who are able to find the optimal solution to complex problems.

Programme features:

  • Interdisciplinarity. The programme combines disciplines from statistics, IT, management, computer science and artificial intelligence, creating a broad platform for development in various fields.
  • Focus on practice. The programme is focused on solving real-world problems, including projects, internships and working with industrial cases. This allows students to immediately apply their knowledge in practice.
  • Modern methodology. We use an educational approach that combines face-to-face and online learning, individual work and group research.

Each module of the Data Science programme is aimed at developing the skills necessary for a successful career in the rapidly developing field of data processing. Students learn to build models, search for patterns, make informed decisions and present the results of their work.

Programme advantages

We strive to create conditions that allow each student to unlock their potential and confidently move towards their chosen profession. A master’s degree in Data Science is not just an education, but the start of a real career.

What makes this programme special:

  • Modern technologies. The programme uses big data analysis tools, data processing and visualisation technology, programming languages and artificial intelligence algorithms.
  • International perspective. Graduates receive a Master’s degree in Data Science, which is recognised abroad and opens the way to global employment in various sectors of the economy.
  • Flexibility and support. Our teachers and mentors help you adapt to your specific learning pace, understand complex topics, and get the most out of the educational process.
  • Industry connections. We collaborate with companies that provide internships and projects. This gives you the opportunity to apply your Data Science knowledge in real-world situations and establish professional contacts.
  • Career focus. The programme is designed to train analysts, researchers, data engineers, and other specialists who can respond to the challenges of a rapidly changing market.

These advantages make learning effective and meaningful. We want students to not only study theory, but also develop as professionals capable of making strategic decisions based on data. Here you can enrol in a Master’s programme in Data Science in Tashkent, become part of the university community, master modern methods and obtain a Master’s degree that is in demand in any country.

What you need to know to apply

To apply for a master’s degree in data science, it is important to familiarise yourself with the key requirements in advance. We strive to make the admission process transparent and understandable so that every applicant who decides to apply to our master’s programme in Tashkent feels confident and supported.

Key points:

  • Basic knowledge. Academic training in computer science, mathematics or engineering is required. This will ensure an understanding of the methods and logic of the course.
  • English language. Most of the teaching materials and projects are in English, so proof of language proficiency is required.
  • Motivation and interest. We value students who want to develop, explore new things and are ready to study in an intensive format.
  • Application documents. You must provide a bachelor’s degree, a motivation letter, recommendations, and pass an interview.
  • Financial conditions. The cost of tuition is fixed and known in advance, which helps you plan your budget for the entire programme period.

If you are ready to enrol in the Data Science master’s programme in Tashkent, we invite you to contact us. Our Data Science faculty welcomes those who strive to develop the field, form new approaches and work with what shapes the future — with such an important criterion as data.

Join the Data Science (MSc) Program and open doors to the world of data and analytics! Acquire skills that are in demand in today’s society. Become part of the experts, analysts and innovators creating a data-driven future.
Apply now and start your path to success in Data Science!