NOVOSIBIRSK STATE UNIVERSITY · RUSSIA
Master of Science in Artificial Intelligence & Big Data Analytics
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 2 yearsFull-time study duration
- EnglishLanguage of instruction
- Project-based learningPractical, real-world experience
- Research opportunitiesEngage in cutting-edge scientific projects
- PhD preparationPathway to doctoral studies
- Diverse applicationsOpportunities in Oil & Gas, Healthcare, Social Networks, and more
This Master of Science program focuses on Artificial Intelligence and Big Data Analytics, offering an innovative, project-oriented approach to data science. You will gain practical experience by working on real-world projects with industry partners, covering the entire development cycle from understanding business needs to implementing new technologies. The program aims to equip you with deep knowledge and advanced skills in analyzing complex problems, managing project resources, developing software, processing data, and extracting valuable insights. The curriculum is designed to bridge hardcore science with cutting-edge data mining technologies, fostering a blend of technical expertise and understanding of human factors. Graduates will be prepared for advanced roles in the field or further academic pursuits, including PhD studies.
Curriculum
The program spans two years, divided into four semesters, covering foundational and advanced topics in Data Science and Artificial Intelligence. The first year focuses on problem understanding, data access, mining, and presentation, while the second year delves into innovative management techniques, deployment, scaling, and culminates in a final thesis.
- 1st year, Fall Semester
- Business Analysis: Communication & RequirementsBA
- Python programming languageEngineering
- Introduction to Machine learningEngineering
- Frontiers of Big Data Analysis and Artificial IntelligenceAdvancing
- Methods of Operations ResearchMathematics
- Information Theory and CryptographyMathematics
- Philosophy of Artificial IntelligenceMathematics
- Project Seminar
- Scientific Seminar
- Internship
- Russian for foreigners
- 1st year, Spring Semester
- Machine Learning
- Frontiers of Big Data Analysis and Artificial IntelligenceAdvancing
- Storage TechnologiesEngineering
- Project ManagementManagement
- Scientific Seminar
- Natural Language ProcessingAdvancing
- Internship
- Research work
- Deep LearningElectives
- Formal SemanticsElectives
- Russian for foreigners
- 2nd year, Fall Semester
- Digital Image ProcessingMathematics
- Distributed Computer SystemsEngineering
- Technology EntrepreneurshipBusiness
- Project Management PracticeManagement
- Scientific Seminar
- Internship
- Research work
- Academic writing (English)
- Social MiningElectives
- Biomedical EngineeringElectives
- Web miningElectives
- 2nd year, Spring Semester
- Thesis: Final State CertificationThesis
Careers
Graduates of this program are well-prepared for careers in the rapidly growing fields of Data Science and Artificial Intelligence. Alumni have found successful employment in leading global and national tech companies.
- Data Scientist
- Machine Learning Engineer
- Big Data Analyst
- AI Specialist
- Software Developer (AI/ML)
Frequently asked questions
- What are the entry requirements for the Master of Science in Artificial Intelligence & Big Data Analytics program?
- Applicants must hold a bachelor's degree in a relevant field such as Computer Science, Mathematics, Engineering, or Physics. Specific academic and English language requirements should be confirmed directly with Novosibirsk State University.
- What is the duration of the Master of Science in Artificial Intelligence & Big Data Analytics program?
- This is a full-time, two-year program, divided into four semesters of study.
- What is the language of instruction for this program?
- The Master of Science in Artificial Intelligence & Big Data Analytics program is taught entirely in English.
- How can international students apply to the program?
- International applicants can apply online through the Novosibirsk State University admission portal. The process involves submitting an application, providing required documents like academic transcripts and a passport copy, and potentially undergoing an entrance examination or interview.
- Are there any scholarships available for international students?
- Yes, international students may be eligible for various grants and scholarships, including Russian government scholarships. Detailed information is available on the 'Grants & Scholarships' section of the NSU website.
- What career opportunities are available after completing this program?
- Graduates are prepared for careers as Data Scientists, Machine Learning Engineers, Big Data Analysts, AI Specialists, and Software Developers (AI/ML). The program also provides a pathway for further academic pursuits, including PhD studies.
Entry requirements
Bachelor's degreeA bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Engineering, Physics) is required. Specific requirements may vary.
Specific academic and English language requirements should be confirmed directly with the university.
Fees
Tuition (international)Information not available.
Tuition (home)Information not available.
LivingEstimated living costs in Novosibirsk are available on the 'New Students' section of the university website.
Tuition fees for international students are not specified on the program page. Prospective students are advised to check the official admission pages for the most up-to-date fee information.
How to apply
1. Check Admission RequirementsReview the specific academic and language requirements for the Master's program in Artificial Intelligence & Big Data Analytics.
2. Prepare Application DocumentsGather all required documents, including academic transcripts, degree certificates, passport, and any other specified forms. Language proficiency proof (e.g., IELTS/TOEFL) might be required if not from an English-speaking country.
3. Submit Application OnlineComplete and submit the online application form via the Novosibirsk State University admission portal by the specified deadline.
4. Entrance Examinations/InterviewsSome programs may require applicants to pass entrance exams or attend an interview (potentially online).
5. Receive Admission OfferSuccessful candidates will receive an official admission offer from the university.
6. Visa and Pre-arrival ProceduresOnce admitted, follow university guidance for visa application, accommodation arrangements, and other pre-arrival information.
Scholarships
Grants and ScholarshipsVaries
Accreditation
The program awards a Master of Science degree.
Frequently asked questions
What are the entry requirements for the Master of Science in Artificial Intelligence & Big Data Analytics program?
+
Applicants must hold a bachelor's degree in a relevant field such as Computer Science, Mathematics, Engineering, or Physics. Specific academic and English language requirements should be confirmed directly with Novosibirsk State University.
What is the duration of the Master of Science in Artificial Intelligence & Big Data Analytics program?
+
This is a full-time, two-year program, divided into four semesters of study.
What is the language of instruction for this program?
+
The Master of Science in Artificial Intelligence & Big Data Analytics program is taught entirely in English.
How can international students apply to the program?
+
International applicants can apply online through the Novosibirsk State University admission portal. The process involves submitting an application, providing required documents like academic transcripts and a passport copy, and potentially undergoing an entrance examination or interview.
Are there any scholarships available for international students?
+
Yes, international students may be eligible for various grants and scholarships, including Russian government scholarships. Detailed information is available on the 'Grants & Scholarships' section of the NSU website.
What career opportunities are available after completing this program?
+
Graduates are prepared for careers as Data Scientists, Machine Learning Engineers, Big Data Analysts, AI Specialists, and Software Developers (AI/ML). The program also provides a pathway for further academic pursuits, including PhD studies.