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$10.2K

$118K

$159.3K

How much do computer science professor jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer science professor in Texas is $117,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $142,500.00 per year, depending on experience, location, and employer.

What Does a Computer Science Professor Do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

What are some common challenges faced by Computer Science Professors in balancing teaching, research, and administrative responsibilities?

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What does a Computer Science Professor do?

A Computer Science Professor teaches courses in computer science at the college or university level, covering topics such as programming, algorithms, data structures, artificial intelligence, and more. In addition to teaching, they often conduct research in specialized areas, publish academic papers, and supervise student projects or theses. Computer Science Professors also advise students, develop curriculum, and may participate in departmental administration or service. Their work is crucial in advancing the field of computer science and preparing the next generation of technology professionals.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

What are the key skills and qualifications needed to thrive as a Computer Science Professor, and why are they important?

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.
More about Computer Science Professor jobs
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What cities in Texas are hiring for Computer Science Professor jobs? Cities in Texas with the most Computer Science Professor job openings:
What are popular job titles related to Computer Science Professor jobs in TX? For Computer Science Professor jobs in TX, the most frequently searched job titles are:
Computer Science Professor jobs near you
Infographic showing various Computer Science Professor job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $117,958 per year, or $56.7 per hour.

Professor of Computer Science, Statistics, or Applied Mathematics (any rank)

UATX

Austin, TX

Full-time

Re-posted 21 days ago

Job description

The Center for Science, Technology, Engineering & Mathematics (CSTEM) at the University of Austin invites applications and nominations for full-time faculty (any rank). Applicants should have a strong interest in teaching undergraduate STEM courses and conducting research. As a new university, we seek to hire faculty at all levels, with particular needs for faculty specialized in computer science, statistics, applied mathematics, and artificial intelligence. The ideal candidate will be comfortable with interdisciplinary collaboration and quantitative rigor. Qualified candidates should have a Ph.D. in a relevant discipline or a degree conferred by the start date.
Responsibilities
- Teach a full load of six quarter-length courses per year (typically two per term), contributing to the development of undergraduate syllabi for core courses and bringing creativity and breadth of knowledge to classroom design.
- Participate actively in faculty meetings, guest lectures, and campus events, helping to sustain and enrich the university's intellectual life.
- Mentor students with an interest in STEM, guiding their academic development and plans.
- Advance UATX's mission of civil discourse by fostering an environment of open inquiry in both teaching and research, modeling academic freedom and respectful debate.
Qualifications
- Ph.D. in a STEM discipline, or closely related field.
- Demonstrated record of excellence in teaching at the undergraduate level.
- Strong commitment to UATX's mission of free inquiry, open debate, and intellectual diversity.
Appointment & Support
This is a full-time faculty position, open rank (assistant, associate, or full professor), with a start date as early as Summer 2026 and is an ongoing search. While UATX does not offer tenure, this line carries a comparable expectation of long-term stability.
Applicants should submit:
- Cover letter describing interest in the position and alignment with UATX's mission
- Curriculum vitae
- Contact information for three professional references
- Writing sample or published research
- Evidence of teaching excellence, or other materials relevant to classroom experience
The University of Austin
Founded in 2022, the University of Austin (UATX) is dedicated to reviving fearless inquiry and open discourse in higher education. UATX offers a B.A. in Liberal Studies and welcomes its first freshman class in Fall 2024. The university currently employs nearly 30 full-time professors and is expanding rapidly.
The Center for Science, Technology, Engineering & Mathematics (CSTEM)
The Center for Science, Technology, Engineering & Mathematics (CSTEM) offers an undergraduate concentration focused on the rigorous application of the scientific method and engineering principles. The Center aims to be a leading program for innovation, quantitative analysis, and technological advancement. CSTEM scholars seek to equip students with the mathematical fluency and computational tools necessary to build the future and solve complex problems. Central features of our curriculum design include a commitment to empirical truth, interdisciplinary inquiry, and a deep appreciation for the history and philosophy of science and technology.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.