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Math Major Computer Science Minor Internship Jobs in Texas

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Math Major Computer Science Minor Internship information

What are the key skills and qualifications needed to thrive in a Math Major Computer Science Minor Internship, and why are they important?

To excel in a Math Major Computer Science Minor Internship, you need strong analytical skills, mathematical reasoning, programming knowledge, and a solid academic background in both mathematics and computer science. Familiarity with programming languages (such as Python, Java, or C++), software development tools, and data analysis platforms is typically expected. Problem-solving ability, effective communication, and a collaborative mindset are valuable soft skills that help interns succeed in team environments. These competencies ensure interns can tackle technical challenges, contribute meaningfully to projects, and adapt to the dynamic demands of technology-driven workplaces.

How can a Math Major with a Computer Science Minor leverage their skills during an internship?

As a Math Major with a Computer Science Minor, you bring a strong analytical foundation and programming skills to your internship. You'll often be tasked with data analysis, algorithm development, or software testing, where your mathematical reasoning and coding abilities are highly valued. Collaborating with multidisciplinary teams, you'll contribute to problem-solving sessions and may assist in developing models or tools for real-world applications. This blend of skills not only allows you to take on complex technical tasks but also positions you well for future roles in data science, software engineering, or research.

What is a Math Major with a Computer Science Minor Internship?

A Math Major with a Computer Science Minor Internship is a work experience opportunity designed for students who are pursuing a major in mathematics and a minor in computer science. These internships allow students to apply their mathematical reasoning and computational skills in real-world settings, such as tech companies, finance, data analysis, or research labs. Interns often work on projects involving programming, data analysis, algorithm development, or modeling. The experience helps students build both technical and professional skills, making them more competitive for future jobs or graduate studies.

What is the difference between Math Major Computer Science Minor Internship vs Data Analyst?

AspectMath Major Computer Science Minor InternshipData Analyst
Required CredentialsRelevant coursework in math and CS, internship experienceDegree in math, statistics, or related field; some roles prefer certifications
Work EnvironmentInternship setting, often in tech or finance companiesOffice-based, data-focused roles in various industries
Industry UsageUsed for gaining experience and skills in tech, finance, or consultingAnalyzing data to inform business decisions across industries

The Math Major Computer Science Minor Internship provides hands-on experience combining math and CS skills, ideal for those exploring tech or finance fields. Data Analysts focus on interpreting data to support business strategies, often requiring similar educational backgrounds. Both roles involve working with data and technical skills, but internships are temporary learning positions, while Data Analysts are full-time roles with ongoing responsibilities.

What are the most commonly searched types of Math Major Computer Science Minor jobs in Texas? The most popular types of Math Major Computer Science Minor jobs in Texas are:
What job categories do people searching Math Major Computer Science Minor Internship jobs in Texas look for? The top searched job categories for Math Major Computer Science Minor Internship jobs in Texas are:
What cities in Texas are hiring for Math Major Computer Science Minor Internship jobs? Cities in Texas with the most Math Major Computer Science Minor Internship job openings:

Assistant Professor - Mathematics & Computer Science

(unknown company)

Houston, TX

Full-time

Posted 23 days ago


Job description

The Department of Mathematics, Statistics, and Computer Science at the University of St. Thomas (Houston, TX) seeks applicants for a tenure-track faculty position at the rank of Assistant Professor to begin in the Fall of 2026. terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background). The successful candidate will be able to contribute to the academic and scholarly work of the department and the university, and also to identify strongly with the university's Catholic liberal arts identity and its Basilian mission.

Located in Houston, Texas, the University of St. Thomas is a private institution committed to the liberal arts and to the religious, ethical, and intellectual tradition of Catholic higher education. The Computer Science program is adopting an innovative curriculum for Computer Science, anchored in a Socio-technical and situated learning pedagogy along with a highly interdisciplinary and collaborative approach. Some of our partnerships include the Center for Health and Science Professions, the Data-Inspired Discovery and Algorithmic Fairness Lab, and the UST STEM Center, among others. The campus is located in Houston's Museum District and Innovation Corridor, a diverse and vibrant urban environment with professional opportunities. We're just steps from downtown and the famed Texas Medical Center.

Responsibilities include:

The successful candidate is expected to:

  • Teach undergraduate courses in basic mathematics, applied statistics, and data analysis.
  • Teach and develop appropriate graduate courses in the Master's of Applied Data Science program.
  • Contribute to the development and general growth of the Master of Applied Data Science program.
  • Develop an undergraduate research program.
  • Participate in service activities as needed by the department and the university.

Qualifications:

The successful candidate is expected to possess:

  • A terminal Ph.D. Degree in Data Science, Statistics, or Mathematics with an emphasis on applied statistics (if a degree in Applied Statistics, it must have a strong Computer Science background).
  • A demonstrated excellence in teaching or demonstrable ability and or commitment to teaching excellence.
  • A demonstrated track record of scholarship and service activities.
  • An expressed desire and commitment to support the university's mission.

In addition to addressing qualifications and experience, the cover letter should address the candidate's resonance with the university's mission and with Catholic liberal arts higher education and provide a statement of adherence to Ex Corde Ecclesiae.

Applicants should attach: a) a cover letter with a clear description of experience relevant to the position; b) a CV including a list of three references; c) a two-page statement of teaching philosophy, and d) a two-page statement of scholarship.

The review of applications will begin immediately and will continue until the position is filled.

The University of St. Thomas is an Equal Opportunity Employer