MASTER'S DEGREE

DATA SCIENCE (MSc)

PROGRAM QUALIFICATION OBJECTIVES

The TIUE Master’s degree program in “Data Science” is designed for individuals who aspire to build their future in the field of data science as highly qualified professionals, higher education educators, and expert scientific researchers.

The objective of this program is to provide students with theoretical knowledge and practical skills in the field of data science while simultaneously developing the pedagogical competencies necessary to prepare highly qualified specialists capable of teaching in higher education and conducting original scientific research.

The academic, methodological, and scientific content of the “Data Science” Master’s program encompasses various modules focused on building expertise in data science and related scientific research.

 

Language of Instruction: UZBEK / RUSSIAN / ENGLISH

Mode of Study: Full-time education: Monday to Saturday.

 

Upon completion of the “Data Science” program, graduates are awarded a Master’s degree from TIUE.

MASTER’S PROGRAM REQUIREMENTS
To complete the Master’s degree program, students must complete 6 mandatory modules (subjects), totalling 180 credits (UK Credit System).

PROGRAM STRUCTURE AND DURATION
Duration: 1.5 academic years (comprising 3 semesters).

Format: Classes are held in a daytime format and include a mix of lectures, seminars, practical sessions, masterclasses, and industrial/professional internships.

Research & Thesis: Students are required to engage in research and teaching activities and complete a dissertation under the guidance of an academic supervisor.

OPEN THE DOORS TO THE MODERN WORLD OF POSSIBILITIES!

REASONS TO CHOOSE THIS PROGRAM

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.

Tadzhikhodjaeva Elvira Rashidovna,
Head of Department
” DATA SCIENCE (MSс)”
System Engineer, Tashkent State Technical
University named after I.M. Gubkin. А. R. Berunii, 1996.

CURRICULUM OVERVIEW

YEAR 1

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.

YEAR 2

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 PLAN (Full-Time)

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.

Ruslan Rustamovich Sultanov
Professor, Department of “DATA SCIENCE (MSC)”
Doctor of Technical Sciences (DSc) degree – Moscow Technical University of Communications and Informatics, 2022.

Sadritdinova Zulfiya Israilovna,
Associate Professor, Department of “DATA SCIENCE (MSC)”
Degree of Doctor of Philosophy (PhD), Candidate of Physical and Mathematical Sciences – Tashkent State University, 1994.

Akhmedova Iroda Nurmukhamedovna
Lecturer, Department of “DATA SCIENCE (MSC)”
Applied Mathematics, Tashkent State University,1994

Ruziev Ulugbek Shukhratovich
Lecturer, Department of “DATA SCIENCE (MSC)”
Master’s Degree in Mathematics and Computer Science – National University of Uzbekistan named after I.M. Gubkin. Mirzo Ulugbek, 2019.

REQUIRED DOCUMENTS

REQUIRED DOCUMENTS:

  • Bachelor’s Degree Diploma and Transcript: Original or a notarised copy
  • Language Proficiency Certificate: Proof of proficiency in the language of instruction (either an international or national certificate)
  • A copy of your passport or national ID card

ACADEMIC ADMISSIONS REQUIREMENTS:

  • Admission to the program is based on a competitive selection process, which includes a mandatory interview

To apply for the TIUE Master’s program, all applicants must submit an ONLINE APPLICATION exclusively through the university’s official website: (www.tiue.uz)

“Data Science” (MSc)

Today, the world is built on data. Behind every technology, service, or application lies a complex system of collecting, analysing, and processing information. This is why the profession of a Data Scientist is not just a trend, but a response to the challenges of the digital economy. Students choose the Data Science Master’s program because it combines mathematics, computer science, and machine intelligence—a skillset essential for driving effective solutions and making a real impact on the future.

Data Science Master’s Program in Tashkent

Studying in the Data Science Master’s program at TIUE is an opportunity to delve deep into the tools and methods used to work with large datasets. Our university provides more than just a basic education; it offers a holistic perspective on modern technologies applied in business, science, and government systems. The high standard of education and specialized training are aimed at cultivating professionals capable of finding optimal solutions to complex problems.

Program Highlights:

Interdisciplinary Approach: The curriculum integrates disciplines from statistics, IT, management, computer science, and artificial intelligence, creating a broad platform for growth across various fields.

Focus on Practice: The program is oriented toward solving real-world challenges, including projects, internships, and work with industrial cases. This allows students to apply their knowledge in practice immediately.

Modern Methodology: We employ an educational approach that combines in-person and online learning, individual work, and group research.

Every module of the “Data Science” program is aimed at developing the skills necessary for a successful career in the rapidly evolving field of data processing. Students learn to build models, identify patterns, make data-driven decisions, and present the results of their work effectively.

PROGRAM ADVANTAGES

We are committed to creating an environment that allows every student to unlock their potential and move confidently toward their professional goals. A Master’s degree in Data Science is not just an educational program—it is the launchpad for a real-world career.

What Makes This Program Unique:
Cutting-Edge Technologies: The curriculum utilises advanced tools for Big Data analysis, data processing and visualisation techniques, modern programming languages, and Artificial Intelligence algorithms.

International Perspective: Graduates earn an MSc in Data Science, a degree recognised internationally, opening doors to global career opportunities across diverse economic sectors.

Flexibility and Support: Our faculty and mentors provide dedicated support to help you adapt to the pace of study, master complex topics, and derive the maximum value from your educational journey.

Industrial Connections: We collaborate with leading companies that provide internships and project opportunities. This allows you to apply Data Science principles in real-world environments and build a professional network.

Career-Focused: The program is designed to train analysts, researchers, data engineers, and other specialists capable of responding to the challenges of a rapidly changing market.

These advantages ensure that your education is both effective and meaningful. We empower students to move beyond pure theory, helping them develop into professionals capable of making strategic, data-driven decisions. By joining our Master’s program in Tashkent, you will become part of a vibrant university community, master modern methodologies, and earn a Master’s degree that is highly valued worldwide.

ADMISSION REQUIREMENTS FOR THE DATA SCIENCE (MSC) PROGRAM

To apply for the Data Science Master’s program, it is important to familiarise yourself with the key requirements in advance. We strive to make the admission process transparent and straightforward so that every applicant choosing our Master’s faculty in Tashkent feels confident and supported.

Key Admission Criteria:

  • Foundational Knowledge: Applicants must have an academic background in Computer Science, Mathematics, or Engineering. This ensures you are prepared to grasp the methods and logic of the course.
  • Motivation and Interest: We value students who are eager to grow, explore new frontiers, and are prepared for an intensive learning format.
  • Application Process: You are required to submit a Bachelor’s degree diploma and complete an admissions interview.
  • Financial Terms: Tuition fees are fixed and transparent, which helps you plan your budget for the entire duration of the program.

If you are ready to enrol in the Master’s degree in Data Science in Tashkent, we invite you to a dialogue. Our Faculty of Data Science is waiting for those who seek to develop the field, form new approaches and work with what shapes the future, with such an important criterion as data.

Apply now and start your journey to success in the field of Data Science!

Join the Data Science (MSc) program and open the doors to the world of data and analytics! Acquire skills that are in demand in modern society.