Turin Poliytechnic University in Tashkent

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Program name	Data Science Engineering
Program duration	4 semesters
Credits	120 credits
Program language	ENGLISH
Tuition Fee per academic year (National students)
Admission requirments	• Interview based. • Language requirements: IELTS 6.0 (equivalent of it or above), DuoLingo - 100, CEFR - B2, TOEFL - 60
Program Description	Data Science Engineering is at the forefront of innovation in today’s data-driven world. The program focuses on equipping students with advanced skills in analyzing, processing, and interpreting complex datasets to extract meaningful insights and support decision-making in various domains. Combining foundational theories with practical applications, this program enables students to address real-world challenges using cutting-edge tools and techniques. By studying Data Science Engineering at Turin Polytechnic University in Tashkent, students will develop critical skills in data analysis, machine learning, and high-performance computing. The program emphasizes research, innovation, and project management, preparing graduates to lead data-driven initiatives across industries. Through hands-on projects, internships, and a thesis, students will also gain valuable experience in solving complex problems in data science.
Program Content	The program covers a wide range of topics essential for mastering data science, combining lectures, seminars, laboratory sessions, and hands-on workshops. Students will engage in innovative projects and scientific research, further enhancing their expertise. Assessments include exams, reports, practical exercises, project work, and thesis development. Major courses: - Fundamentals of Data Science - Data Exploration and Extraction - Algorithm Design and Analysis - Probability and Statistical Inference - Machine Learning: Foundations and Advanced Topics - Data Mining - Database Systems and Big Data - Time Series and Forecasting - Signal, Image, and Video Processing and Learning - High-Performance and Parallel Computing Students will also undertake internships and thesis work, allowing them to apply their knowledge to practical challenges and scientific research
Career Perspectives	As data becomes an integral part of every industry, data science professionals are in high demand to interpret, analyze, and manage complex datasets. Graduates of the Data Science Engineering program will possess the expertise needed to excel in roles that drive data-driven decision-making and innovation. - Data Scientist - Machine Learning Engineer - Big Data Analyst - Business Intelligence Specialist - Artificial Intelligence Researcher - Data Engineer - High-Performance Computing Specialist This program also serves as a strong foundation for further academic research or Ph.D. studies in data science and related fields. Graduates will be well-prepared to lead initiatives in industries such as technology, healthcare, finance, and beyond.

Program name

Data Science Engineering

Program duration

4 semesters

Credits

120 credits

Program language

ENGLISH

Tuition Fee per academic year (National students)

Admission requirments

• Interview based.
• Language requirements: IELTS 6.0 (equivalent of it or above), DuoLingo - 100, CEFR - B2, TOEFL - 60

Program Description

Data Science Engineering is at the forefront of innovation in today’s data-driven world. The program focuses on equipping students with advanced skills in analyzing, processing, and interpreting complex datasets to extract meaningful insights and support decision-making in various domains. Combining foundational theories with practical applications, this program enables students to address real-world challenges using cutting-edge tools and techniques.
By studying Data Science Engineering at Turin Polytechnic University in Tashkent, students will develop critical skills in data analysis, machine learning, and high-performance computing. The program emphasizes research, innovation, and project management, preparing graduates to lead data-driven initiatives across industries. Through hands-on projects, internships, and a thesis, students will also gain valuable experience in solving complex problems in data science.

Program Content

The program covers a wide range of topics essential for mastering data science, combining lectures, seminars, laboratory sessions, and hands-on workshops. Students will engage in innovative projects and scientific research, further enhancing their expertise. Assessments include exams, reports, practical exercises, project work, and thesis development.

Major courses:
- Fundamentals of Data Science
- Data Exploration and Extraction
- Algorithm Design and Analysis
- Probability and Statistical Inference
- Machine Learning: Foundations and Advanced Topics
- Data Mining
- Database Systems and Big Data
- Time Series and Forecasting
- Signal, Image, and Video Processing and Learning
- High-Performance and Parallel Computing
Students will also undertake internships and thesis work, allowing them to apply their knowledge to practical challenges and scientific research

Career Perspectives

As data becomes an integral part of every industry, data science professionals are in high demand to interpret, analyze, and manage complex datasets. Graduates of the Data Science Engineering program will possess the expertise needed to excel in roles that drive data-driven decision-making and innovation.
- Data Scientist
- Machine Learning Engineer
- Big Data Analyst
- Business Intelligence Specialist
- Artificial Intelligence Researcher
- Data Engineer
- High-Performance Computing Specialist
This program also serves as a strong foundation for further academic research or Ph.D. studies in data science and related fields. Graduates will be well-prepared to lead initiatives in industries such as technology, healthcare, finance, and beyond.