Applied artificial intelligence
Create a free account to unlock full content!
By registering, you agree to our Privacy Statement and Terms and Conditions.
Program Overview
Introduction to the Program
The Institute of Intellectual Robotics at Novosibirsk State University offers a Bachelor's program in Applied Artificial Intelligence. This program is designed to prepare students for careers in the field of artificial intelligence, with a focus on practical applications and innovative solutions.
Program Description
The program is implemented on the basis of the Scientific and Educational Center "Machine Learning and Big Data Analysis". The program's main goal is to prepare highly qualified specialists in the field of applied artificial intelligence for the innovative economy. Students will study and develop products based on deep machine learning, applying their knowledge in various fields of activity, from the banking sector to personalized medicine.
Program Structure
The program consists of four cycles of disciplines: general mathematical disciplines, programming and automation disciplines, humanitarian and socio-economic disciplines, and special disciplines. The program includes methods of algebra and analysis, object-oriented programming, operating systems, theory of probability and mathematical statistics, and machine learning.
Curriculum
The curriculum includes a range of courses, such as:
- Introduction to algebra and analysis
- Introduction to discrete mathematics and mathematical logic
- Imperative programming
- Object-oriented programming
- Operating systems
- Theory of probability and mathematical statistics
- Machine learning
- Technical foreign language
Practice
During their studies, students will gain practical experience by working on projects in scientific research institutes and leading IT companies under the guidance of scientific staff. This will allow them to apply their knowledge in practice and determine their future professional track.
Admission Criteria
The program has the following admission criteria:
- Mathematics
- Informatics and ICT/Physics
- Russian language
- Programmatic solutions
- Digital platforms
Tuition Fees
The tuition fee for the program is 93,000 rubles per semester in the academic year.
Budget Places
There are 25 budget places available for the program.
Paid Places
There are 135 paid places available for the program.
Stipendiary Programs
The university offers stipendiary programs for first-year students who have achieved high results in olympiads or have high scores in the Unified State Exam.
Leading Teachers
The program is taught by leading teachers, including:
- Fedoruk Mikhail Petrovich, Head of the educational program
- Okunev Alexey Grigorievich, Project manager and teacher
- Chekhovskoy Igor Sergeevich, Teacher
- Sidelnikov Oleg Sergeevich, Teacher
Advantages of Training
The program has several advantages, including:
- Interdisciplinary education, forming readiness for effective interaction in various subject areas
- Development of group work skills, ability to think non-standardly, within the limits of time and resource constraints, independent mastery of non-standard technologies and making technically sound decisions
- Understanding of the broad context of IT, embedded and critical systems, as well as possession of methods and skills for analysis, synthesis, and verification of technical solutions
- Practically oriented training: practice begins from the second semester and lasts throughout the entire undergraduate studies
Disciplines
The program includes a range of disciplines, such as:
- Applied artificial intelligence
- Machine learning
- Computer vision
- Natural language processing
- Data analysis
Research Areas
The program focuses on several research areas, including:
- Machine learning
- Deep learning
- Computer vision
- Natural language processing
- Data analysis
Career Opportunities
Graduates of the program can work in various fields, such as:
- Banking sector
- Geology and geophysics
- Oil and gas industry
- IT companies
- Research centers
- Medical laboratories
Possible Professions
Graduates of the program can pursue various professions, such as:
- AI architect
- Machine learning engineer
- Data analyst
Industrial Partners
The program has several industrial partners, including:
- T1, a multi-profile IT holding company
- Basalt SPO, a Russian developer of operating systems for the public sector, business, education, and private users
