Filters

Filters

  • Bachelors
  • BSc
  • North America
  • USA
  • Economics Programs
  • Statistics

Sort by

    Bachelors

  • 47

  • 41

  • 14

    Economics Programs

  • 47

  • 33

  • 84

  • 140

  • 40

  • 15

  • 1

  • 17

  • 14

  • 27

  • USA

    • 1

    • 1

    • 1

    • 1

    • 1

    • 1

    • 1

    • 2

    • 1

    • 1

  • 3

  • 42

  • 47

  • 45

  • 2

47 Statistics BSc Degree Programs in USA

  • Explore
  • ChicagoColumbusOxfordSan DiegoAlbuquerqueAshevilleBellinghamBrightonBurlingtonCatonsvilleChapel HillCincinnatiColumbiaDetroitDurhamEast LansingEdmondFresnoGeorge MasonGreensboroHarrisonburgHoughtonIndianapolisKalamazooKnoxvilleLaramieLexingtonLos AngelesManhattanMemphisMilwaukeeMinneapolisMoscowNewarkPhiladelphiaPhoenixProvidenceProvoRaleighSan AntonioSan FranciscoTempeUniversityUniversity of California-Davis

Popular Economics Programs Statistics degree types

Popular study format

Learn more about Statistics BSc degree programs in USA

Statistics degree programs at the Bachelor's level in the USA offer a robust blend of theoretical knowledge and practical application, making them a unique choice for students interested in data analysis and decision-making. You'll engage with real-world data, gaining skills that are vital in various sectors.

Through courses in statistical methods, data visualization, and probability theory, you’ll learn how to analyze and interpret data effectively. Students build confidence as they engage with new perspectives on data's role in decision-making. Additionally, you may encounter practical projects that link theory to real-world applications, enhancing your understanding and skill set.

Graduates of statistics programs often pursue careers as data analysts, biometricians, or market researchers. The USA’s focus on applied learning prepares you for diverse roles in technology, healthcare, finance, and government sectors, where your analytical skills will be highly valued. By studying statistics, you’ll develop competencies that are broadly applicable in today’s data-driven environment.