نظرة عامة على البرنامج

Program Overview

The Artificial Intelligence & Big Data Analytics program at Novosibirsk State University is a master's degree program taught in English. The program is designed to provide students with a deep understanding of data science and machine learning, as well as practical experience in working with real-world projects.

Program Goal

The program aims to equip students with the skills and knowledge necessary to become true data scientists, able to combine hardcore science and breakthrough data mining technologies with the art of human understanding.

Duration of Study

The program is a full-time, two-year program.

Language of Instruction

The language of instruction is English.

Curriculum

The curriculum is divided into two years, with a focus on core courses, optional courses, and research work.

1st Year

• Core courses:
  • Business Analysis
  • Python programming language
  • Introduction to Machine learning
  • Frontiers of Big Data Analysis and Artificial Intelligence
  • Methods of Operations Research
  • Information Theory and Cryptography
  • Philosophy of Artificial Intelligence
  • Project Seminar
  • Scientific Seminar
  • Internship
• Optional courses:
  • Russian for foreigners

2nd Year

• Core courses:
  • Digital Image Processing
  • Distributed Computing Systems
  • Technology Entrepreneurship
  • Project Management Practice
  • Scientific Seminar
  • Internship
  • Research work
  • Academic writing (English)
• Electives:
  • Social Mining
  • Biomedical Engineering
  • Web mining

Master Dissertation

The master dissertation is a key component of the program, with examples of topics including:

• Development of a system for predicting blood sugar levels based on machine learning
• Developing a subsystem for retrieving event data
• Development of a module for an expert system for analysis and monitoring of communications
• Developing Big Data platform for cognitive analysis
• Applying the principle of rival similarity search for significant features in the processing of large amounts of data (Big Data)

Training Base

Each student can select a domain based on their own interest, with courses supported by companies that have great experience applying data analysis techniques to solve innovative problems. Domains include:

• Oil and gas
• Healthcare
• Social networks
• Telecommunications
• Instrumentation

Key Personnel

The program is taught by a team of experienced instructors, including:

• Evgeniy Pavlovskiy
• Ivan Bondarenko
• Denis Bondarenko
• Nickolay Tolstokulakov
• Alexander Savostyanov
• Grigoriy Khazankin
• Alexey Stukachev
• Florian Gouret
• Valeria Idrisova
• Vyacheslav Mukhortov

Fees and Financial Support

• Tuition fees: $6,500 per year
• Discounts: up to 25% available based on analysis of documents submitted
• Scholarships: available through the Russian Government Scholarship Program and the "Open Doors" Russian Scholarship Project

Career Opportunities

Graduates of the program can pursue careers as:

• Data scientist
• Data engineer
• PhD in math in Siberian scientific center or other world's leading universities

Entrance Requirements

• Copy of passport
• Educational certificate
• Academic transcripts
• Photos
• English language proficiency certificate (if required)
• Curriculum Vitae
• Motivation Letter
• Medical certificate
• HIV + AIDS certificates

Application Deadlines

• August 6: application form and scanned documents due