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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Statistics | Mathematical (Theoretical) Statistics | Applied Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


The BS in Statistics at UIC prepares students for careers in data analysis or advanced study in statistics. The program offers two concentrations: Statistical Theory and Methods and Applied Statistics. Graduates are well-equipped for careers in fields such as data science, actuarial science, and finance. The program emphasizes practical skills in data analysis, interpretation, and presentation, using statistical software packages like R and SAS.

Program Outline


BS with a Major in Statistics at University of Illinois Chicago


Degree Overview:

The Bachelor of Science with a Major in Statistics at UIC prepares students for advanced study in statistics or careers requiring data analysis skills. The program covers various applications in fields such as accounting, actuarial science, biostatistics, finance, healthcare, and transportation. Students can choose between two concentrations:

  • Statistical Theory and Methods: Focuses on the theoretical foundations of statistics and advanced mathematical techniques.
  • Applied Statistics: Allows students to specialize in an area of interest using statistical methods, such as data science, business analytics, or public health.

Objectives:

  • Develop a strong foundation in statistical theory and methodology.
  • Acquire practical skills in data analysis, interpretation, and presentation.
  • Learn to apply statistical methods to real-world problems in various fields.
  • Prepare students for graduate studies or careers in data-driven fields.

Outline:

The program consists of 120 credit hours, including:

  • Major Requirements (39 credit hours):
  • Required courses:
  • Calculus I & II
  • Calculus III
  • Writing for Mathematics
  • Applied Statistical Methods I & II
  • Statistical Methods and Computing
  • Elementary Statistical Techniques for Machine Learning and Big Data
  • Introduction to Probability
  • Concentration-specific courses:
  • Statistical Theory and Methods:
  • Introduction to Advanced Mathematics
  • Applied Linear Algebra
  • Analysis I
  • One 400-level statistics course
  • Applied Statistics:
  • Four courses in a chosen area, including at least two courses at the 200 level or above.
  • General Education Requirements (42 credit hours):
  • Courses in various disciplines like English, humanities, social sciences, and natural sciences.
  • Electives (39 credit hours):
  • Students can choose additional courses in statistics, other science fields, or pursue minor programs.

Assessment:

Assessment methods may vary depending on the specific course. They typically include:

  • Exams (midterms and finals)
  • Quizzes
  • Assignments (problem sets, projects, etc.)
  • Presentations
  • Participation

Teaching:

The program utilizes various teaching methods, including:

  • Lectures
  • Discussion sections
  • Hands-on labs
  • Individual and group projects
  • Guest speakers from industry
  • Online resources

Careers:

Graduates with a BS in Statistics are well-prepared for careers in various fields, such as:

  • Data scientist
  • Statistician
  • Market research analyst
  • Actuary
  • Biostatistician
  • Financial analyst
  • Quantitative analyst
  • Research scientist
  • Data analyst
  • The program also provides a strong foundation for further studies in statistics or related fields.

Other:

  • The program emphasizes the use of statistical software packages like R and SAS.
  • The program offers opportunities for internships and research experiences.
  • Students are encouraged to join the Statistics Club for networking and professional development.
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