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M.Sc. in Computational Physics
M.Sc. in Computational Physics
Our Computational Physics program provides students with the skills needed for contemporary quantum challenges. From quantum algorithm development to proficiency in mathematical modeling and quantum simulations, graduates gain expertise in solving complex quantum problems. Students also learn about quantum hardware architectures, problem-solving, critical thinking, and research proficiency. Emphasizing interdisciplinary collaboration and ethical conduct, students are prepared for academic or industry careers in quantum computing, computational physics, subatomic physics, and other related interdisciplinary fields with a commitment to adaptability and lifelong learning. Additionally, graduate assistantships are available.
Applications for Fall 2026 are now open!
Start Your ApplicationProgram Structure
The M.Sc. in Computational Physics is a 2-year master’s program which requires students to complete total of 120 ECTS in four semesters.
Classes are expected to be held three times a week in the morning and afternoon. Please note that the schedule is subject to change.
| First Year | ||||
|---|---|---|---|---|
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 1 | PHYS610 | Mathematical Methods For Physics | Core | 8 |
| PHYS620 | Theoretical Mechanics | Core | 8 | |
| PHYS641 | Electrodynamics | Core | 8 | |
| GRAD603 | Research Methods | Core | 6 | |
| Semester 2 | PHYS651 | Quantum Mechanics I | Core | 8 |
| PHYS719 | Solid State Physics and Electronics Properties | Core | 8 | |
| PHYS631 | Statistical Methods | Core | 6 | |
| PHYS612 | Numerical Methods For Physics I | Core | 4 | |
| PHYS751 | Research Seminar Series (Guided Study) | Core | 4 | |
| Total Credits | 60 | |||
| Second Year | ||||
|---|---|---|---|---|
| Semester | Course Code | Course | Course Type | ECTS Credits |
| Semester 3 | PHYS652 | Quantum Mechanics II | Core | 8 |
| PHYS741 | Quantum Optics & Quantum Information Processing | Core | 8 | |
| ECON640 | English For Academic Purposes | Core | 6 | |
| PHYS613 | Numerical Methods For Physics II | Core | 4 | |
| PHYS751 | Research Seminar Series (Guided Study) | Core | 4 | |
| Semester 4 | PHYS780 | Master Thesis | Core | 14 |
| Elective 1 | Elective | 8 | ||
| Elective 2 | Elective | 8 | ||
| Total Credits | 60 | |||
| Program's Total Credits | 120 | |
| Elective Course Options | ||
|---|---|---|
| Course Code | Course | ECTS Credits |
| PHYS666 | Quantum Many-Body Systems | 8 |
| PHYS750 | Nuclear Astrophysics | 8 |
| PHYS731 | Quantum Computing Architectures & Algorithms | 8 |
Entry requirements
Educational Background
Applicants must hold a Bachelor’s degree (minimum 180 ECTS credits) awarded by an accredited higher education institution. The degree must be completed in either full-time or part-time mode of study.
Minimum English Proficiency
- IELTS 5.5 or;
- CEFR B2 (51-55) or;
- TOEFL iBT 46 (Only TOEFL iBT tests taken at approved test centers are accepted. The TOEFL iBT Home Edition is not accepted.)
Note: Applicants who have completed their bachelor’s degree entirely in English are not required to submit the above-mentioned language proficiency certificates.
Entrance Exam Requirement
Applicants are required to pass the Physics and Math entrance exam.
Exam Date and Deadline for Registration
| Exam Date | Deadline for Registration |
|---|---|
| 2nd May | 24th April |
| 8th August | 31st July |
Fees and Funding
| Tuition Fee for 2026/2027 Academic Year | |
|---|---|
| Local students | 15 000 000 UZS per academic year |
| International students | $ 2 200 USD per academic year |
Scholarships for Master's Programs
We are committed to supporting our students’ educational journeys through a variety of scholarship opportunities. Scholarships at New Uzbekistan University are categorized into two main types: 1-Year Scholarships and 2-Year Scholarships.
Career Perspectives
The career perspectives for a master's graduate in computational quantum physics are quite promising, given the interdisciplinary nature of the field that blends quantum physics, computer science, and mathematics. This specialization prepares graduates for roles in academia, research, and various industries that are starting to harness quantum technologies. Here are some potential career paths and opportunities:
1. Academic and Research Institutions
- - Research Scientist: Conducting research in quantum algorithms, quantum computation, and other quantum technologies.
- - Postdoctoral Researcher: After completing a master's degree, you might pursue a Ph.D. and then a postdoctoral position to deepen your research experience.
- - Lecturer or Professor: With further qualifications, teaching at universities or colleges is a viable path.
2. Quantum Computing Companies
- - Quantum Algorithm Developer: Designing algorithms that run on quantum computers to solve specific problems faster than classical computers.
- - Quantum Software Developer: Developing software for quantum computing platforms, including simulation tools and programming languages specific to quantum computing.
3. Technology and Engineering Companies
- - Quantum Engineer: Working on the development of quantum computing hardware, including superconducting qubits, ion traps, or photonics.
- - Data Scientist or Analyst: Applying quantum computing techniques to big data analytics and machine learning models to solve complex problems.
4. Consultancy and Financial Services
- - Quantum Computing Consultant: Advising companies on the implementation and benefits of quantum computing technologies in their business models.
- - Financial Analyst: Utilizing quantum algorithms for financial modeling, optimization problems, and risk analysis.
Skills and Attributes
To excel in these roles, a solid foundation in quantum mechanics, programming (especially in languages like Python and Q), and a strong grasp of mathematical concepts are essential. Soft skills such as teamwork, problem-solving, and effective communication are also crucial in interdisciplinary teams.
As quantum technologies continue to evolve, the demand for experts in computational quantum physics is expected to grow. Keeping up-to-date with the latest research, tools, and technologies in this rapidly advancing field is vital for a successful career. Networking, attending conferences, and contributing to open-source projects can also enhance career prospects.
