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B.Sc. AI & Robotics

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.

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Course Structure

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
Semester 1
Computer Programming 1
Academic and Communication Skills 1
Information Systems and Digital Technologies
First Principles of NewUU
Calculus 1
Semester Total Hours / Credits
Semester 2
Computer Programming 2
Academic and Communication Skills 2
Discrete Mathematics
Calculus 2
Physics 1
Semester Total Hours / Credits
First Year Total Hours / Credits
SECOND YEAR
Semester Course
Semester 3
Data Science Fundamentals
Linear Algebra
Algorithms & Data Struсtures
Digital Logic Design
Physics 2
Semester Total Hours / Credits
Semester 4
Computer Architecture
Artificial Intelligence
Fundamentals of Databases
History of Uzbekistan
Probability and Statistics
Semester Total Hours / Credits
Second Year Total Hours / Credits
THIRD YEAR
Semester Course
Semester 5
Introduction to Entrepreneurship
Partial Differential Equations
Introduction to Machine Learning
Design & Analysis of Algorithms
Technical elective
Semester Total Hours / Credits
Semester 6
Computer Networks
Signals & Systems
Mathematical Foundations of Machine Learning
Philosophy
Robotics
Semester Total Hours / Credits
Third Year Total Hours / Credits
FOURTH YEAR
Semester Course
Semester 7
Deep Learning
Technical elective
Technical elective
Embedded Systems
Graduation Project 1 / Internship 1
Semester Total Hours / Credits
Semester 8
Communications Ethics
Technical elective
Technical elective
Technical elective
Graduation Project 2 / Internship 2

Entry requirements

1. High school/Lyceum/College diploma or higher
2. Proof of English Language Proficiency:
  •  - TOEFL iBT 46 or higher
  • Note: We accept only the TOEFL iBT taken at approved test centers. We do not accept the TOEFL iBT Home Edition.
  •  - IELTS 5.5 or higher
  •  - CEFR B2
  •  - Exemptions (with a minimum pass mark) from the TOEFL, IELTS or CEFR are given for students who have one of the following equivalents:
1.       International Baccalaureate Diploma 
Grade 4 in English A at Higher or Standard Level in the International Baccalaureate Diploma
Grade 4 in English B at Higher Level in the International Baccalaureate Diploma
Grade 5 in English B at Standard Level in the International Baccalaureate Diploma
2.       Pearson Edexcel International GCSE English Language 
Grade 4 in Pearson Edexcel International GCSE English Language A (External assessment from 2018)
Grade 4 in Pearson Edexcel International GCSE English Language B (External assessment from 2018)
Grade 4 in Pearson Edexcel International GCSE English Literature (External assessment from 2019)
3.       GCSE English Language 
Grade D in GCSE English Language or GCSE English Literature
4.       GCE O-Level English Language 
Grade D in GCE O-Level English Language
5.       GCE A-Level/AS-Level in English Language 
Grade D in GCE A-Level/AS-Level in English Language or English Language & Literature
6.       IGCSE English as a First Language 
Grade D in the IGCSE English as a First Language. Speaking must be separately endorsed on the certificate
7.       IGCSE English as a Second Language 
Grade D in the IGCSE English as a Second Language. Speaking must be separately endorsed on the certificate
8.       Pearson test of English (PTE) - Academic 
Grade 59
9.       Cambridge C1 Advanced (formerly Cambridge English: Advanced/CAE)
Grade 162
10.   Cambridge C2 Proficiency (formerly Cambridge English: Proficiency/CPE)
Grade 162
11.   Cambridge B2 First (formerly Cambridge English: First/FCE)
Grade 162

Note: If your English proficiency test certificate is not yet available, please upload it via your personal account no later than August 18, 2025.

Entrance Exam
  • - Math - Logical Thinking
  • - Exemptions from the Math - Logical Thinking are given for students who have one of the following equivalents:

Please use the online equivalency calculator above to see the equivalency of your score to Math & Logical Thinking exam scores.

You can also check the equivalent of your score to the Math & Logical Thinking entrance exam scores using the table below.

International certificate score (Math section) New Uzbekistan University Entrance Exam Score (in percentage)
SAT
800 100
790 90
780 85
770 80
760 75
750 70
740 65
730 60
720 55
650 – 710 50
International Baccalaureate (IB)
7 100
6 90
5 70
4 50
International AS & A Levels
A* 100
A 90
B 80
C 70
D 60
E 50

Graduation Requirements

Students will be allowed to graduate upon completion of all requirements listed below:

  • - Students must have a minimum 2.00 GPA/CGPA at the end of their final semester;
  • - Student must have a minimum of 240 ECTS or as designated in Handbook;
  • - Students must successfully complete all University and Program requirements;
  • - Students cannot have any outstanding Incompletes or IP grades on their transcripts;
  • - Student must complete all degree requirements within 7 (seven) years including any leave periods, of the initial program registration date.

Fees and funding:

Tuition Fee for 2025/2026 Academic Year
Local students 38 000 000 UZS per academic year
International students $ 5 200 USD per academic year

Scholarships

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.

Career / Job opportunities

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.

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