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Data Science Major information

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

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a Data Science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do Data Science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What jobs can you do with data science?

Data science majors can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with relevant certifications or advanced degrees.

Is data science a good major?

Data science is a strong major for those interested in careers involving data analysis, machine learning, and statistical modeling. It prepares students with skills in programming, data manipulation, and tools like Python and R, which are highly valued in many industries. Graduates often find opportunities in technology, finance, healthcare, and consulting sectors.

What kind of jobs can I get with a data science degree?

A data science degree prepares individuals for roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
What are popular job titles related to Data Science Major jobs in Texas? For Data Science Major jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Texas look for? The top searched job categories for Data Science Major jobs in Texas are:
What cities in Texas are hiring for Data Science Major jobs? Cities in Texas with the most Data Science Major job openings:
Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Professional Track Faculty Positions in Statistics and Data Sciences (Fall 2026)

Professional Track Faculty Positions in Statistics and Data Sciences (Fall 2026)

The University of Texas at Austin

Austin, TX • On-site

Full-time

Posted 15 days ago

University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

152nd of 611 rated colleges and universities

Job description

Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for the Director of the MS Program in Statistics, with appointment at the rank of Associate or Full Professor of Instruction. SDS is looking forward to an expansion of its MS program through an integrated 4+1 BS/MS sequence for our rapidly growing Statistics and Data Science major. The Director of the MS Program will help lead this initiative alongside the chair of the department, shaping curriculum, advising, admissions, and the long-term academic vision of the program, while also teaching classes at the undergraduate and MS level. The anticipated start date for the position is either January 1, 2027 or August 16, 2027.
SDS is the newest and fastest-growing department in the College of Natural Sciences and will, in August 2026, join UT's new School of Computing, a major university initiative to boost investment in computer, data, and information sciences. Our programs include an undergraduate major and minor in Statistics and Data Science, an M.S. and Ph.D. in Statistics, and an online M.S. in Data Science.
The department is internationally recognized for excellence in both research and education, with 25 tenured/tenure-track and 10 professional-track faculty. While Professors of Instruction are professional-track faculty and ineligible for tenure, we hire with the hope that all new faculty will build lasting careers as part of our community. The department is committed to investing in the professional growth of all faculty. More information about the department is available here.
Austin is famous for music, media, and the outdoors; it is also a major technology center, home to companies such as 3M, Amazon, AMD, Apple, Applied Materials, Dell, Google, IBM, Meta, Samsung, and more.
Qualifications
Candidates must hold a doctoral degree in statistics, biostatistics, or a related discipline. Successful candidates will likely have at least 5 years of university teaching experience in statistics and data science, including experience with both introductory classes and classes at the advanced undergraduate or master's level.
Application Instructions
Applicants should submit a cover letter, a CV, and a teaching statement. As part of the application process, candidates will be asked to provide the names and email addresses of three individuals who are willing to provide letters of support. A link to a professional website may be provided on the candidate's CV.
Applications will be reviewed until the position is filled, with all applications received by August 17, 2026 receiving full consideration. Assuming the position continues to remain open, applications received after August 17, but before November 16, 2026, will continue to be considered.
The department is committed to respecting the confidentiality of the search process.
A background check will be conducted on applicants selected for the positions.
Questions about the search process should be directed to Professor Jay Bartroff, SDS Professional-Track Faculty Search Committee Chair and SDS Associate Chair. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chair directly.

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