The first AI-Enabled university in Central Asia. Education built around the technologies of the future.
AI is the core of the university: embedded into every discipline, shaping an individual learning path, accompanying you as a digital assistant, and analyzing your progress at every stage.
An intensive learning model focused on practice, project work, and industry skills.
Fully English-language instruction — with a path to an international career.
A combination of offline, online, and AI-driven learning — tailored to your pace and style.
Helps you study, solve problems, and build your development trajectory.
You leave your defense with a real AI product — built, trained, and packaged into your portfolio.
QAIRU is located within the EXPO ecosystem and gives direct access to the country’s national AI infrastructure — compute, cloud, and a large language model.
A campus at the heart of Astana’s technology cluster — next to industry, startups, and state development institutions.
Direct access for students and researchers to the infrastructure of the Alem.ai exponential cluster.
Supercomputers, the alem.cloud platform, and the national large language model AlemLLM for learning and research.
The learning process is directly connected to the industrial and startup ecosystem — real projects and tasks from year one.
3 years · English · 240 credits
scientific-pedagogical or profile track
admission via interview · 1 year
AI is fundamental training in artificial intelligence. X is applied specialization in a specific industry.
Every student has a personal AI assistant. It accompanies the learning journey from the first task to a finished product.
From linear algebra to transformers — a breakdown of any topic, any time.
Reviews ML models, suggests architecture and optimization improvements.
Assignments adapt to the student’s current level and progress.
A personal learning plan and course selection aligned with your goals.
Progress analysis and outcome forecasting based on a digital twin.
Access to Alem.cloud and the national AlemLLM model for hands-on work.
Machine Learning, NLP, Large Language Models (LLM), Computer Vision, and Multimodal AI.
Autonomous Robotics, Intelligent Control Systems, AI-Driven Robotics, Human–Robot Interaction, and Smart Industrial Automation.
Smart City & Urban AI, FinTech & GovTech AI, HealthTech AI, Industrial AI, and Agricultural AI.
Educational partners
Research partners
Industrial partners
Admission dates:June 20 – August 25
Admission is decided by the Admissions Committee: UNT score of at least 70 (fee-paying) or 90 (state grant), the internal QAIRU Potential Test (QPT), and English proof — IELTS Academic ≥ 5.0, TOEFL ITP ≥ 460, TOEFL iBT ≥ 65, or an interview with the Admissions Committee.
Required documents
Admission dates
Admission is conducted on a fee-paying basis only, on a competitive basis based on Comprehensive Test (CT) results. State grants are not available for Master's programs.
Submission address
Astana, Mangilik El Avenue, B2.2. Documents must be submitted in person or through a notarized authorized representative.
