The Data Science Faculty at IDU will help you master data analysis, statistics, machine learning, and big data. Gain practical skills and start your career in data with confidence.
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Intensive Program
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Career opportunities
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International opportunities
Students work within their chosen specialisation
Students work within their chosen specialisation
"The Data Science program at IDU is designed for students who want to learn how to work with data and extract valuable insights for informed decision-making. The curriculum includes data analysis, statistics, programming, machine learning, data visualization, and working with large datasets. The program is practice-oriented: students work with real-world data, solve applied problems, build models, perform analysis, and draw conclusions that can be used in business, technology, and research. The course is developed in accordance with international standards and current market requirements. It helps students build a strong portfolio, develop practical skills, and acquire analytical thinking essential for a successful start in a Data Science career. The Data Science program at IDU is ideal for those who want to grow in analytics, technology, and research and become in-demand specialists in today’s digital economy."
Students of the Data Science programme at IDU study how to work with large datasets, analyse and visualise information, and develop practical models for forecasting and data-driven decision-making.
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Working with data from various sources, cleaning it, and preparing it for further analysis.
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Studying statistical methods that help identify patterns, trends, and anomalies in data.
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Developing models that learn from data and are used for forecasting, classification, and decision-making.
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Creating charts, interactive dashboards, and reports that make analytical results clear and accessible.
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Technologies and tools for storing, processing, and analysing large volumes of data.
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"We believe in your success because you will learn from industry practitioners and work with real-world data. We support you at every stage — from data analysis fundamentals to your first projects in Data Science."
Your portfolio and practical skills are what open the doors to a successful career.
Your portfolio and practical skills are what open the doors to a successful career.
Businesses are increasingly using data for decision-making and forecasting. Companies actively invest in analytics and data-driven solutions, making qualified data professionals more in demand than ever.
Junior Data Scientist / Data Analyst
This is where
your journey begins
Middle Data Scientist / Data Analyst
2–3 years of experience, modelling, forecasting, and business solutions.
Senior Data Scientist / Data Analyst
5+ years of experience, complex models, and strategic data-driven decisions.
This is where your journey begins
Junior Data Scientist / Data Analyst
Middle Data Scientist / Data Analyst
Senior Data Scientist / Data Analyst
5+ years of experience, complex models, and strategic data-driven decisions.
Senior AI Engineer, Machine Learning Specialist
Machine Learning Specialist, Data Science Expert
Data Science Expert
Full Stack Developer
The University awards a state-recognised diploma as well as an international diploma from the University of Wolverhampton. Both diplomas are recognised in Uzbekistan and abroad, confirming graduates’ professional qualifications.
The programme is delivered in partnership with the University of Wolverhampton (United Kingdom) and has been developed in accordance with international academic standards.
Study in a hybrid format: online lectures, practical intensives on campus, and live sessions with mentors every week.
We start with fundamental modules, so it's suitable even for beginners. The program includes a block for preparing for the first internship.
IDU Career Center helps with portfolios, interviews and organizes job fairs with partners around the world.
Yes, the schedule is flexible: materials are available 24/7, and live classes are duplicated in recordings so you don't miss anything important.