Students work on computers in a Data Science class

Bachelor of Science in Data Science

Data Science is an interdisciplinary field that combines scientific methods, algorithms, and systems to extract valuable insights from structured and unstructured data. The Data Science program offers a comprehensive curriculum that blends key concepts from mathematics, statistics, and computer science. Students learn to analyze data, identify patterns, and communicate findings effectively. Through a combination of hands-on projects and theoretical knowledge, graduates are equipped with the technical skills and analytical thinking necessary for successful careers as data scientists, data analysts, and beyond.

Why Study Data Science at St. Thomas?

In the Data Science major, students gain a comprehensive set of skills essential for analyzing and interpreting complex data. These include foundational knowledge in statistics and probability, advanced techniques in data visualization and communication, and proficiency in programming languages such as Python and Java. Students learn how to apply machine learning and data mining methodologies to discover insights and patterns in data, as well as how to effectively manage and manipulate large data sets, preparing them to tackle complex challenges across various industries.

Finding Insight

  • Curriculum
  • Four-Year-Plan
  • Degrees Awarded
  • Scholarships
  • Capstone
  • Curriculum

    The Data Science major offers a comprehensive pathway for students interested in harnessing the power of data to solve complex problems and drive informed decision-making. This major blends foundational courses in statistics, mathematics, and computer science with advanced coursework in data communication, visualization, machine learning, and data mining. Students begin their journey with introductory classes in data science, statistics, and programming before advancing to specialized topics such as applied regression analysis and computational statistics. Hands-on learning is emphasized through a statistical practicum, allowing students to apply their skills in real-world settings. Additionally, the curriculum includes coursework in object-oriented design, database management, and discrete mathematics, providing a well-rounded education that prepares students for a variety of careers in technology, finance, healthcare, and more. By the end of the program, graduates will possess the technical expertise and analytical skills needed to excel in the dynamic field of data science.

    Four-Year-Plan

    Our curriculum includes a wide range of cutting-edge topics that will pique your curiosity. We recommend meeting with a faculty member to build your four-year plan so you can learn more about what courses are available to you, along with extracurricular opportunities such as research.

    Degrees Awarded

    • Bachelor of Science in Data Science
    • Minor in Data Science

    Science, Mathematics and Engineering Scholarships

    The Science, Mathematics and Engineering Scholarship is a competitive scholarship opportunity for high-achieving incoming students. St. Thomas will offer two full-tuition scholarships and two $8,000 scholarships to top candidates who intend to pursue degrees in the sciences, mathematics or engineering.

    Minneanalytics Scholarships

    Students in the Data Science program are encouraged to apply for scholarships from MinneAnalytics, a local organization that supports education and research in analytics and data science.

    Capstone

    A unique aspect of the Data Science program is the capstone course, where students are paired with industry and community partners such as the Minnesota Department of Natural Resources, Travelers Insurance, and the Minnesota Alliance for Volunteer Advancement. Over the course of a semester, students work on real-world analytical projects for these groups, potentially leading to peer-reviewed publications or presentations at conferences and board meetings.

    Curriculum

    Curriculum

    The Data Science major offers a comprehensive pathway for students interested in harnessing the power of data to solve complex problems and drive informed decision-making. This major blends foundational courses in statistics, mathematics, and computer science with advanced coursework in data communication, visualization, machine learning, and data mining. Students begin their journey with introductory classes in data science, statistics, and programming before advancing to specialized topics such as applied regression analysis and computational statistics. Hands-on learning is emphasized through a statistical practicum, allowing students to apply their skills in real-world settings. Additionally, the curriculum includes coursework in object-oriented design, database management, and discrete mathematics, providing a well-rounded education that prepares students for a variety of careers in technology, finance, healthcare, and more. By the end of the program, graduates will possess the technical expertise and analytical skills needed to excel in the dynamic field of data science.

    Four-Year-Plan

    Four-Year-Plan

    Our curriculum includes a wide range of cutting-edge topics that will pique your curiosity. We recommend meeting with a faculty member to build your four-year plan so you can learn more about what courses are available to you, along with extracurricular opportunities such as research.

    Degrees Awarded

    Degrees Awarded

    • Bachelor of Science in Data Science
    • Minor in Data Science

    Scholarships

    Science, Mathematics and Engineering Scholarships

    The Science, Mathematics and Engineering Scholarship is a competitive scholarship opportunity for high-achieving incoming students. St. Thomas will offer two full-tuition scholarships and two $8,000 scholarships to top candidates who intend to pursue degrees in the sciences, mathematics or engineering.

    Minneanalytics Scholarships

    Students in the Data Science program are encouraged to apply for scholarships from MinneAnalytics, a local organization that supports education and research in analytics and data science.

    Capstone

    Capstone

    A unique aspect of the Data Science program is the capstone course, where students are paired with industry and community partners such as the Minnesota Department of Natural Resources, Travelers Insurance, and the Minnesota Alliance for Volunteer Advancement. Over the course of a semester, students work on real-world analytical projects for these groups, potentially leading to peer-reviewed publications or presentations at conferences and board meetings.
    Students work on an iPad in a Statistics course

    Career Paths

    Our graduates work in a variety of industries including technology, finance, healthcare, and government.Data science majors are well-equipped for careers in fields such as:

    • Data science
    • Data analysis
    • Business intelligence analysis
    • Machine learning engineering
    Graduates may also pursue advanced degrees in data science, statistics, computer science, or related fields to further specialize and deepen their expertise.

    Facilities

    Students in the Data Science program gain extensive hands-on experience by taking many of their classes in state-of-the-art computer labs. This setting allows them to work directly with data, coding tools, and software to analyze information, build algorithms, and create compelling visualizations. Through these practical exercises, students develop the technical skills and problem-solving abilities needed to excel in data-driven careers.

    Quick Facts

    20%
    ~20% of graduating students have co-authored a peer-reviewed paper, demonstrating their contributions to the field of data science research.
    10%
    ~10% of students have presented their work at conferences, showcasing their expertise and gaining valuable professional experience.
    100%
    ~100% of students have the opportunity to work with external sponsors and industry and community partners, providing real-world experience and networking opportunities.
    Lines of multicolored code on a computer screen

    Double Major With Computer Science

    There is significant synergy between our Computer Science and Data Science programs, with overlapping coursework in programming, algorithms, and data management. Students are encouraged to pursue both majors or a combination of one major and one minor, as this dual expertise greatly enhances their problem-solving skills and technical proficiency. This comprehensive skill set not only broadens their career opportunities but also helps them stand out in the competitive job market.

    Learn more about Computer Science

    Take the Next Step

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