Computational Chemistry
Study Computational Chemistry in Bulgaria through an English-taught Master’s track focused on molecular modeling, simulation, and modern research methods. Learn how scientists predict chemical behavior, test ideas virtually, and support work in materials, pharma, and environmental fields then build a clear application plan with Masar Education.
Computational Chemistry is a Master’s-level program that trains you to use computer-based methods to understand molecules, materials, and chemical processes. You’ll study key approaches like quantum chemistry and molecular modeling, learn to interpret results from scientific software, and build practical skills for research and industry applications. Graduates typically move into research teams, PhD pathways, or roles connected to materials, pharma, and technology-focused fields.
Why Students Choose Computational Chemistry
Computational Chemistry at Sofia University
This program is offered at Sofia University “St. Kliment Ohridski” within the Faculty of Chemistry and Pharmacy, one of Bulgaria’s most research-active academic environments. The track is designed to prepare specialists at Master’s level with a clear profile in computational chemistry, combining theory with practical work on modern scientific problems.
Choose Where to Study Computational Chemistry
Available in Sofia • Sofia University
Quick Comparison (What Usually Matters Most)
This program is best for students who enjoy chemistry, math, and structured problem-solving. Your key decision points are: your comfort with scientific computing, interest in modeling and simulation, and whether you want a research-driven path after graduation.
- Duration: 2 Years (4 semesters)
- Degree Type: Master's Degree
- Training Style: Coursework + practical modeling work (software-based assignments/projects)
What You’ll Study
Core Theory
- Quantum chemistry basics, electronic structure ideas, and modeling foundations.
Molecular Modeling
- Model molecules and materials, test structures, and compare predicted properties.
Dynamics & Simulation
- Simulation basics, motion of molecules, and method-driven interpretation of results.
Structure–Property Links
- Connect structure to behavior for materials, activity, and real-world use cases.
Scientific Computing Skills
- Work with tools, outputs, and basic programming logic used in research workflows.
