Our department offers knowledge of intelligent systems, information processing with neural networks, and mass data analyzing via theoretical disciplines and applied disciplines. For the theoretical disciplines, it includes neural network structure and related algorithms, pattern recognitions, computer vision, and information theory. Whereas applied disciplines, including the design and implementation with software/hardware. Each discipline is extended to the way of programming, and hardware implementation. Based on developed AI algorithms and its applications, artificial intelligence and machine learning have become the main part of computer science, engineering, and social science as well. The AI area will become the frontier to promote human life and industry together.
Learning takes place through a combination of face-to-face teaching and independent study, including lectures, practical tutorials, laboratory sessions, personal development sessions, real-life project briefs and case studies.
Students study 60 ECTS credits per year. The structure of the course is a subject to change by feedback received from a variety of sources.
| First Year | ||||
|---|---|---|---|---|
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 1 | CS102 | Computer Programming 1 | Core | 8 |
| HASS101 | Academic and Communication Skills 1 | Core | 6 | |
| CS100 | Information Systems and Digital Technologies | Core | 6 | |
| HASS100 | First Principles of NewUU | Core | 6 | |
| MATH111 | Calculus 1 | Core | 6 | |
| Semester 2 | CS210 | Computer Programming 2 | Core | 8 |
| HASS111 | Academic and Communication Skills 2 | Core | 6 | |
| MATH221 | Discrete Mathematics | Core | 6 | |
| MATH211 | Calculus 2 | Core | 6 | |
| PHYS101 | Physics 1 | Core | 8 | |
| Total Credits | 66 | |||
| Second Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 3 | CS203 | Data Science Fundamentals | Core | 6 |
| MATH201 | Linear Algebra | Core | 6 | |
| CS111 | Algorithms & Data Struсtures | Core | 6 | |
| CS202 | Digital Logic Design | Core | 6 | |
| PHYS111 | Physics 2 | Core | 8 | |
| Semester 4 | CS231 | Computer Architecture | Core | 6 |
| CS411 | Artificial Intelligence | Core | 6 | |
| CS301 | Fundamentals of Databases | Core | 6 | |
| HASS110 | History of Uzbekistan | Core | 4 | |
| MATH232 | Probability and Statistics | Core | 6 | |
| Total Credits | 60 | |||
| Third Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 5 | ENT201 | Introduction to Entrepreneurship | Elective | 6 |
| MATH241 | Ordinary Differential Equations | Core | 6 | |
| CS331 | Introduction to Machine Learning | Core | 6 | |
| CS212 | Design & Analysis of Algorithms | Core | 6 | |
| TBD | Technical elective | Elective | 6 | |
| Semester 6 | CS311 | Computer Networks | Elective | 6 |
| CS351 | Signals & Systems | Core | 6 | |
| CS332 | Mathematical Foundations of Machine Learning | Core | 6 | |
| HASS305 | Philosophy | Core | 6 | |
| CS413 | Robotics | Core | 6 | |
| Total Credits | 60 | |||
| Fourth Year | ||||
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 7 | CS412 | Deep Learning | Elective | 6 |
| TBD | Technical elective | Elective | 6 | |
| TBD | Technical elective | Elective | 6 | |
| CS414 | Embedded Systems | Core | 6 | |
| GRAD490 | Graduation Project 1 / Internship 1 | Core | 8 | |
| Semester 8 | HASS200 | Communications Ethics | Core | 6 |
| TBD | Technical elective | Elective | 6 | |
| TBD | Technical elective | Elective | 6 | |
| TBD | Technical elective | Elective | 6 | |
| GRAD491 | Graduation Project 2 / Internship 2 | Core | 8 | |
| Total Credits | 64 | |||
| Program's Total Credits | 250 | |||
Entry Requirements
Educational Background
Applicants must have completed secondary school, academic lyceum, or professional college and provide diploma with academic transcripts.
Minimum English Proficiency
Entrance Exam Requirement
Entrance Exam
Applicants are required to pass the Math & Logical Thinking entrance exam. To learn more about the exam structure and format, please refer to the exam specification page.
Exemption from Entrance Exam
Applicants with the following certificates have the opportunity to be exempted from the entrance exam and receive a 100% merit-based scholarship. To be considered for this opportunity, applicants must follow a three-step process.
|
Certificate |
Required Score |
Equivalent Entrance Exam Score |
|---|---|---|
|
SAT Math |
780 - 800 |
100% |
|
International Baccalaureate (IB) Math |
5 - 7 |
100% |
|
International AS & A Levels Math |
B - A* |
100% |
Step 1: Meet Initial Academic Requirements
Applicants must meet both of the following requirements:
Step 2: Attend an Interview
Candidates who fulfill the academic requirements in Step 1 will be invited to an offline interview. This is a mandatory step to be considered for the scholarship and exam exemption.
The interview is designed to assess:
Interview Rules
Interview Dates
|
Date |
|---|
|
28 March |
|
25 April |
|
30 May |
|
13 June |
|
20 June |
Step 3: Secure Your Place
Applicants who pass the interview will receive a conditional offer for admission with a 100% merit-based scholarship. To accept the offer and secure your place, you must make the required payment by the deadline indicated in your offer letter.
Students will be allowed to graduate upon completion of all requirements listed below:
| Tuition Fee for 2026/2027 Academic Year | |
|---|---|
| Local students | 42 000 000 UZS per academic year |
| International students | $ 5 200 USD per academic year |
We are committed to supporting our students’ educational journeys through a variety of scholarship opportunities. Scholarships at New Uzbekistan University are categorized into two main types: 1-Year Scholarships and 4-Year Scholarships.
This course is especially designed, at every stage, to equip you with the knowledge, academic skill and transferable skills you need for a successful career in industry or research. You might start out as:
Artificial Intelligence Engineer - Artificial Intelligence Engineer is an IT expert whose mission is to develop intelligent algorithms capable of learning, analyzing and predicting future events. Their role is to create machines capable of reasoning like the human brain.
Cloud Computing Engineer - A cloud engineer is an IT professional that builds and maintains cloud infrastructure. Cloud engineers can have more specific roles that include cloud architecting (designing cloud solutions for organizations), development (coding for the cloud), and administration (working with cloud networks).
Systems Designer - System designers create detailed design documentation for the development of computer systems in accordance to business needs.
Applications Developer - An application developer is a professional who designs, creates, deploys and updates programs for a particular device, the web or a specific operating system. Developers typically specialize in one area of development, such as mobile phone applications.