National University of Science and Technology POLITEHNICA Bucharest
Applied Mathematics and Computational Sciences
Description
The Master's Program in Applied Mathematics and Computational Sciences provides an interdisciplinary education that integrates applied mathematics, numerical analysis, computational science, machine learning, and data analytics. Delivered entirely in English, the program prepares students to model, analyze, and solve complex real-world problems using state-of-the-art computational techniques. The curriculum combines rigorous theoretical foundations with extensive practical training in scientific programming, numerical algorithms, statistical modeling, and artificial intelligence. Students develop the ability to design computational solutions for engineering, industry, scientific research, and emerging data-intensive applications while gaining experience with professional software environments widely used in academia and industry.
Other Information
Competencies Acquired
Upon completion of the program, graduates will be able to:
- Develop mathematical models for complex engineering and scientific applications. • Design, implement, and optimize numerical algorithms for computational problems
- Apply machine learning and statistical methods to prediction, classification, and decision support.
- Process, analyze, and visualize large and complex datasets using modern computational tools
- Develop software solutions using Python and MATLAB for scientific computing and artificial intelligence
- Apply numerical methods to simulation, optimization, and data-driven modeling.
- Process natural language data and implement AI-based analytical techniques
- Validate, evaluate, and optimize computational models and numerical algorithms.
- Conduct independent research and contribute to interdisciplinary projects involving mathematics, computation, and artificial intelligence.
- Conduct independent research and develop innovative solutions for modern information and communication technologies.
Research Topics
Students have the opportunity to participate in research projects in areas including:
- Scientific and High-Performance Computing
- Numerical Methods for Engineering Applications
- Mathematical Modeling and Simulation • Machine Learning and Artificial Intelligence
- Data Science and Statistical Learning
- Optimization Algorithms
- Natural Language Processing
- Computational Mathematics
- Numerical Solutions of Differential Equations
- Intelligent Data Analysis and Visualization
Program Highlights
- Entirely taught in English, making it accessible to international students
- Strong emphasis on the integration of mathematics, computation, and artificial intelligence
- Hands-on experience with widely used scientific computing and machine learning software
- Interdisciplinary curriculum combining theory, programming, and practical applications
- Excellent preparation for careers in industry, research, and doctoral studies
Explore our faculties