4 Years On Campus Bachelors Program
The Bachelor of Science in Physics with a concentration in Quantum Science and Technology at Texas Tech University combines fundamental physics with specialised study of quantum information, quantum computing and the physical systems used to develop emerging quantum technologies. Designed for students interested in advanced computing, quantum materials, sensing and scientific research, the program provides a strong foundation in mathematics, experimental physics and computational methods, preparing graduates for technical careers or postgraduate study.
Curriculum Structure
First Year: Students build a foundation in physics and mathematics through Principles of Physics I: Mechanics (PHYS 1408), Calculus I (MATH 1451) and Calculus II (MATH 1452). These courses introduce the mathematical and physical principles needed to understand motion, energy and other fundamental systems, while preparing students for advanced physics and quantum science coursework.
Second Year: Students progress through Principles of Physics II: E&M (PHYS 2401), Modern Physics (PHYS 3301) and Computation for the Physical Sciences (PHYS 2305). They also study Linear Algebra (MATH 2360), a required course for the concentration, developing mathematical and computational skills relevant to quantum systems and scientific modelling.
Third Year: Students deepen their theoretical and experimental knowledge through Electricity & Magnetism I (PHYS 3305), Optics (PHYS 3401), Statistical & Thermal Physics (PHYS 4302) and Quantum Mechanics I (PHYS 4307). They also take Introduction to Quantum Computing (PHYS 4315), which introduces the principles and applications of quantum computation and helps connect foundational physics with emerging quantum technologies.
Fourth Year: Students strengthen their specialisation through advanced electives such as Quantum Mechanics II (PHYS 4308), Solid State Physics (PHYS 4309), Electricity & Magnetism II (PHYS 3306) or Machine Learning (ECE 4370). Eligible students may also complete Undergraduate Research (PHYS 3000) on a quantum science and technology topic, applying their theoretical knowledge to a focused research problem.
Focus Areas
Quantum computing, quantum information science, quantum mechanics, linear algebra, computational physics, electromagnetism, optics, solid-state physics, machine learning, quantum sensing, quantum materials and scientific research.
Learning Outcomes
Quantum Science Knowledge: Understand quantum mechanics and the physical principles underlying quantum information and computing.
Mathematical Reasoning: Apply linear algebra, calculus and mathematical methods to analyse physical systems.
Computational Skills: Use computational techniques to model physical phenomena and solve scientific problems.
Experimental Understanding: Interpret physical measurements and connect theoretical principles with experimental systems.
Research Preparation: Develop analytical, problem-solving and scientific communication skills relevant to quantum technology and advanced physics.
Professional Alignment (Accreditation)
The program develops scientific, mathematical, computational and analytical skills relevant to emerging quantum technology industries and research careers. The official program information does not specify a separate professional accreditation for this degree.
Reputation (Employability Rankings)
Texas Tech University has established research activity in quantum science, including quantum sensing, quantum computing and the physical systems used in quantum technologies. The department's specialised concentration is designed to prepare students for both employment after a bachelor's degree and further study. A specific employability ranking or verified graduate employment rate for this concentration is not stated in the official program information.
Texas Tech University connects the study of quantum physics with computational methods, experimental research and emerging technology applications. Students develop a foundation for understanding quantum systems through specialised coursework and may gain further practical experience by participating in faculty-led research. The university's research activities in quantum sensing, superconducting systems and quantum information science offer relevant opportunities to explore how quantum principles are applied in technology.
Key experiential learning opportunities include:
Computational Physics (PHYS 2305): Develop computational problem-solving skills and apply programming-based methods to physical science problems.
Modern Physics Lab and Data Analysis (PHYS 3201): Gain practical experience in experimental physics and scientific data analysis alongside modern physics coursework.
Introduction to Quantum Computing (PHYS 4315): Study quantum computing principles and the scientific foundations of quantum information technology.
Quantum Science Research (PHYS 3000): Eligible students can undertake undergraduate research related to quantum science and technology, with up to three credit hours counting toward the concentration's electives.
Center for Emerging Energy Sciences: Explore research involving quantum sensing, superconducting systems, cryogenic technologies and quantum systems designed for terrestrial and space applications.
Quantum Information Science Research: The department conducts research into quantum computing education, quantum workforce development and the conceptual understanding of quantum mechanics, providing a broader research environment for students interested in this field.
Machine Learning (ECE 4370): Choose machine learning as a concentration elective to explore computational techniques relevant to data analysis and technology applications.
Society of Physics Students: Participate in physics-related events, networking, collaborative activities and research-oriented engagement with fellow students.
The Physics B.S. with a Quantum Science and Technology concentration prepares students for emerging opportunities in quantum computing, scientific research, advanced materials and technology development. The combination of physics, mathematics and computational training can support potential roles such as quantum technology research assistant, computational physics analyst, laboratory research associate and scientific instrumentation specialist.
Students can strengthen their career preparation through the following opportunities:
Career Services: Texas Tech's career services provide career counselling, resume development, interview preparation, job-search resources and employer engagement opportunities.
Research Experience: Faculty-supervised undergraduate research allows students to investigate quantum-related problems, build technical skills and strengthen applications for graduate study or research positions.
Quantum Technology Research: Research in quantum sensing, superconducting systems and quantum information science provides exposure to technologies relevant to computing, measurement, materials and scientific instrumentation.
Industry Connections: Texas Tech's Center for Emerging Energy Sciences works with external companies and research organisations on quantum sensing and related technologies. This creates a research environment connected to practical technology challenges, although specific undergraduate placements or employment guarantees are not stated.
Employment Statistics and Salaries: The official program information does not publish a specific employment rate or salary figure for graduates of this concentration.
Professional Accreditation: The degree provides specialised academic preparation in quantum science and technology, but a separate professional accreditation is not specified in the official program information.
Graduation Outcomes: Graduates can pursue entry-level scientific and technical employment or progress to advanced study in physics, quantum information science and related disciplines.
Further Academic Progression: Graduates can pursue an M.S. or Ph.D. in Physics, Applied Physics, Quantum Information Science, Quantum Computing or related fields, depending on their academic preparation and the admission requirements of their chosen institution. Other relevant pathways include materials science, electrical engineering, computational science and photonics. Students seeking careers in advanced quantum research may benefit from postgraduate study, while those entering industry can build on their bachelor's-level knowledge through specialised technical experience and further professional development.


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