Overview
Trinity’s minor in data science positions you to discover, analyze, and visualize data in new ways. Learn how to solve difficult problems by asking the right questions, and master technical skills in data transformation and analytics.
Fast Facts
- Accredited by AACSB - International
- Data science is one of the fastest-growing career fields
- Working with real data sets translates to any workplace
What You'll Study
Data wrangling and machine learning meet business and economics
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Program Curriculum
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Refer to the Course of Study Bulletin for full program requirements. See a suggested roadmap for the Data Science Minor.
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Search for Classes
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Use Search for Sections in TigerPAWS for the most current class offering information.
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Courses of Study Bulletin
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Candidates for a baccalaureate degree must fulfill the requirements for a major as listed in the courses of study bulletin. The courses of study bulletin is the official source of information regarding degree requirements, academic policies, and academic majors and minors at Trinity University.
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Pathways Curriculum
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Students must complete the Pathways Curriculum in order to receive a baccalaureate degree. The Pathways Curriculum has six curricular requirements, and three optional elements that provide the foundation in the liberal arts and sciences for all the bachelor’s degrees awarded by Trinity University. Through these requirements, students acquire the necessary skills and disciplinary perspectives to navigate complex questions at Trinity and in their post-graduate lives.
Statistics for Business and Economics
Applications of statistical techniques to business and economics. Sampling, tests of hypotheses, regression and other statistical techniques and their implementation using modern statistical software.
Fundamentals of Information Systems
Systems theory, information quality, decision making, and the organizational role of information systems are introduced. Information technology including computing and telecommunications systems, are stressed.
Data Science
Storage, retrieval and analysis of data sets, with emphasis in "data wrangling" and the application of specialized software, computational techniques and algorithms to practical scenarios.
Business Analytics
In this course we explore how to solve modern business problems using analytical and computational methods that require sophisticated skills in quantitative analysis as well as in data storage, retrieval and manipulation.
Machine Learning
The study and implementation of machine learning algorithms to solve problems that involve big data sets in business analytics and related applications.
Databases
An overview of implementation and practical uses for different types of databases. Includes relational (SQL), non-relational, and other databases. This course includes designing and implementing a database with real business data on a provisioned serve.
View all courses
For more information and a description of each class please visit the COSB website.
Accounting (B.S.)
Biology (B.S.)
Business (B.A.)
Computing as a second major (B.A.)
Computer Science (Minor)
Economics (B.A.)
Engineering Science (B.S.)
Finance (B.S.)
International Business (B.S.)
Mathematics (Minor)
Political Science (B.A.)
Faculty
Experienced mentors instill you with real-world skills
Our experienced faculty bring a data-driven approach to the classroom while ensuring all students get the personal guidance they need to excel. Courses are carefully curated to align with current requirements for top employers and graduate programs.
Student Opportunities
Get involved, discover more
Learning happens both in and outside the classroom. Michael Neidorff School of Business students can join organizations on-campus or venture off-campus for research and internship opportunities.
Study Abroad
Trinity Study Abroad programs in Europe and Asia include the Japan Summer Program in Kobe, the International Business Summer School in Beijing, and other programs in Vietnam and Cuba, as well as a summer program at Shanghai’s Jiao Tong University.
Experiential Learning
Students gain hands-on experience working with real data sets, completing independent projects, or pursuing internships.
When You Graduate
Make an instant impact in your field
Students have joined companies—from the Spurs to Whataburger—in their data science and analytics divisions. Students can also pursue graduate level education to further their understanding of data science and enhance technical skills.
Careers
Data science experts are in incredibly high demand. This skillset can be used in virtually any field by enabling data-driven decision making. From business analytics and economics to healthcare, engineering, and even politics—you can use data to impact the world around you.
Career Areas:
- Business Analyst (Systems, Operations, Marketing, etc.)
- Data Engineer
- Data Scientist
- Data Warehouse Architect
- Machine Learning Engineer
Notable Companies who have Hired Trinity Graduates:
- CISCO Systems
- Dell
- HEB
- Deloitte
- PricewaterhouseCoopers
- Cap Gemini
Take the next step
Have more questions or want more information? Learn more about becoming a Tiger, and how you can accelerate what’s next for your education.