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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.

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Applications for Fall 2026 are now open!

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Program 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 Format

  • Total Duration: 60 minutes
  • Total Number of Questions: 20 multiple-choice questions (10 questions per subject)
  • Total Marks: 100
  • Each question is worth 5 marks. There is no penalty for incorrect answers, therefore candidates are strongly advised to attempt all questions.
  • The use of mobile phones, electronic devices, or any unauthorized materials is strictly prohibited during the examination.
  • Calculators are allowed in the exam.

Calculator Policy

Allowed:

  • Standard calculators
  • Simple calculators
  • Non-graphic calculators
  • Scientific calculators

Not Allowed:

  • Models with internet access or wireless connectivity (Bluetooth, cellular, etc.)
  • Models with audio/video recording or playback, cameras, or smartphone-like features
  • Models with a computer-style (QWERTY) keyboard, pen input, or stylus
  • Models requiring an electrical outlet, making noise, or using paper tape
  • Programmable calculators
  • Calculators capable of plotting functions

Content Areas

Candidates are advised to review the content areas carefully to ensure familiarity with all topics that may be included in the test. The listed content areas are intended to provide an overview of the types of topics that may appear in the examination. They are provided for guidance only and do not represent a complete or exhaustive list of all material that may be assessed.

Physics Content area

Candidates should be able to:

Lagrange formalism

Explain generalized coordinates, the principle of the least action, the Lagrange equation, the Lagrangian for the free particle, etc..

Hamilton formalism

Explain Hamilton function, Hamilton’s equations, Poisson brackets, canonical transformations, etc..

Integration of equations of motion

Evaluate motion in one dimension, motion in central field, reduced mass, Kepler’s problem.

Small oscillations

Formulate free oscillations, forced oscillations, damped oscillations, parametric resonance, etc.

Motion of a rigid body

Derive angular velocity, the inertia tensor, angular momentum, the equations of motion of a rigid body, Euler’s angles and equations.

The principle of relativity

Explain intervals, proper time, the Lorentz transformation, transformation of velocities, four-vectors.

Electromagnetic fields

Evaluate four-potential of a field, equations of a motion of a charge in electromagnetic field, Gauge invariance, electromagnetic field tensor, invariants of the field.

Motion of a charge in electromagnetic fields

Derive motion of the charge in constant uniform electric field, in constant uniform magnetic field, motion of the charge constant electric and magnetic fields.

Maxwell’s equations

Derive the first and second pairs of Maxwell’s equations.

Dynamical equations

Explain Schrodinger picture, Heisenberg picture, Interaction picture, probability conservation.

 

Math Content area

Candidates should be able to:

Limits and continuity

Evaluate limits using standard techniques including L’Hôpital’s rule, and determine continuity of functions.

Differentiation

Apply rules of differentiation including the chain rule, product rule, and implicit differentiation to solve problems.

Indefinite integration

Find antiderivatives using substitution, integration by parts, and standard integral formulas.

Definite integrals

Evaluate definite integrals and apply the fundamental theorem of calculus to compute areas and accumulated quantities.

Ordinary differential equations

Solve first-order and second-order linear ordinary differential equations with initial conditions using standard methods.

Vector calculus

Compute gradient, divergence, and curl of scalar and vector fields, and apply related integral theorems.

Matrices and determinants

Perform matrix operations, evaluate determinants, and solve systems of linear equations using matrix methods.

Series and sequences

Determine convergence or divergence of series and sequences, and apply Taylor and Maclaurin series expansions.

Multivariable calculus

Compute partial derivatives, find extrema of functions of several variables, and evaluate multiple integrals.

Complex numbers

Perform algebraic operations with complex numbers, convert between forms, and apply Euler’s formula and De Moivre’s theorem.



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.

1-Year Scholarships for Master's Programs

These scholarships cover tuition fees for one academic year only.

See more

2-Year Scholarships for Master's Programs

These scholarships cover 100% of tuition fees for all two academic years.

See more

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.

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