Program Overview
The Neural Networks & Neural Computers at Moscow Institute of Physics and Technology is a MSc programme in Computer Science & IT over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Neural Networks & Neural Computers programme are well-prepared for careers in academia, industry, government, and the private sector across Russian Federation and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- Tuition: USD 2,700 (Tuition (Year)) — International students
- Location: Moscow, Russian Federation
Career Opportunities
Graduates of the Neural Networks & Neural Computers programme are prepared for diverse careers in computer science & it:
- Software Engineer / Developer
- Data Scientist
- Machine Learning Engineer
- IT Project Manager
- Cybersecurity Analyst
- Cloud Solutions Architect
Program Curriculum
Course Structure
- Introduction to Neural
- Networks Theory
- Introduction to Hybrid Systems
- Introduction to Statistics
- Introduction to Cyber Security /
- Information Security
- Introduction to Image and Text
- Processing
- Introduction to Matlab
- Startups in Intelligent
- Technologies
- Neural Networks and Hybrid Systems for Modelling, Control, and Pattern Recognition. Part 1
- Special Neural Networks Architectures
- Neurocomputers
- Neural Networks in Cyber Security and Intelligent Methods for Information Security. Part 1
- Neuromathematics
- Introduction to Distributed and Parallel Computing
- Introduction to Cloud Computing
- Neural Networks and Hybrid Systems for Modelling, Control, and Pattern Recognition. Part 2
- Neural Network in Cyber Security and Intelligent Methods for Information Security. Part 2
- Memristor-based Neural Network Spiking
- Neural Networks for Gap-filling in Tabulated Data
- Neural Networks for Text Processing
- CUDA Accelerated Neural Networks
- Hadoop-based Neural Networks
- Research and development of memristors models
- Neural networks for computer intrusion detection
- Neural networks for image processing (2D and 3D)
- Neural networks for text processing
- Neural networks for signal processing
Admission Requirements
Academic Requirements
- Passport (scanned copy);
- Diploma(s) and official academic transcript of records (scanned copy) (*only official transcripts can be submitted, if you were not awarded a degree);
- Resume (include educational awards, results of academic competitions, scientific publications.);
- Statement of Purpose;
- 2 Letters of Recommendation;
- Certificate of Language Proficiency (IELTS, TOEFL) (scanned copy) recommended level - B2.
Tuition & Financial Information
Tuition Fee
USD 2,700 (Tuition (Year)) — International students
Tuition fees: USD 2,700 (Tuition (Year)) — International students
Financial Aid & Scholarships
Contact Moscow Institute of Physics and Technology directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Moscow Institute of Physics and Technology
Moscow Institute of Physics and Technology
Dolgoprudny, Russia
Moscow Institute of Physics and Technology is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their...
University Profile- Language English
- Duration 24 months