The Bachelor’s program Artificial Intelligence is an innovative academic track aimed at preparing specialists capable of developing intelligent systems, analyzing complex data, and creating next-generation digital technologies. The program cultivates algorithmic thinking, analytical reasoning, and the ability to solve real-world problems using AI-driven approaches.
CAMU
Artificial Intelligence
A strong emphasis is placed on designing intelligent software solutions, working with large-scale data, building predictive models, and applying AI technologies across industries. Through participation in research and innovation projects, students develop creativity, engineering skills, and the capacity to implement cutting-edge technological solutions.
Students explore key areas such as machine learning, neural networks, computer vision, natural language processing, data analytics, and mathematical modeling. The curriculum integrates theoretical foundations with laboratory practice, project-based learning, and hands-on experience using real datasets and modern development tools.
Graduates are well prepared for careers in technology companies, research institutions, industrial enterprises, financial organizations, and public sector agencies as AI engineers, data analysts, software developers, or digital transformation specialists. They may also pursue master’s studies to deepen their expertise and engage in advanced research and innovation.
First Year
Fall
- UEY1104 - Recent History of Uzbekistan
- XOT1108 - Foreign Language 1.2
- HIS1112 - Calculus 1.2
- FIZ1110 - Physics 1.2
- DAS1110 - Programming 1.2
- AKY1104 - Academic Writing
Credits: 30
Spring
- DIN1204 - Religious Studies
- FAL1204 - Philosophy
- XOT1108 - Foreign Language 1.2
- HIS1112 - Calculus 1.2
- FIZ1110 - Physics 1.2
- DAS1110 - Programming 1.2
- MTA1204 - Data Structures and Algorithms
Credits: 30
Second Year
Fall
- CHA1306 - Linear Algebra
- MAB1306 - Database
- EVS1306 - Electronics and Circuits 1
- DIT1306 - Discrete Structures
- KOT1306 - Computer Networks
Credits: 30
Spring
- DIT1406 - Differential Equations
- KIA1406 - "Fundamentals of Cybersecurity "
- SIA1406 - Fundamentals of Artificial Intelligence
- EVS1406 - Probability and Statistics
- TT - Elective Subject:
Credits: 30
Third Year
Fourth Year
Fall
- INL1704 - Individual Project
- SQI1704 - Signal Processing
- TTQ1704 - Natural Language Processing
- TT - Elective Subject: