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Program quick facts
Course Delivery
100% Online
Total Credits
120
Campuses Hosting
- East
- Indianapolis
- Northwest
- South Bend
- Southeast
Degree Type
Bachelor of Science
Degree Overview
As a student in the B.S. in Applied Statistics, you'll learn how to solve problems in calculus, linear algebra, and calculus-based probability. Study differentiation, integration, infinite series, properties of univariate and multivariate random variables, and discrete and continuous distributions, as well as:
- Statistical methods and theory
- Design of studies and exploratory data analysis
- Statistical modeling and computation
- Data analytics communication
You’ll benefit from a career-focused program ranked among the best in the nation by U.S. News & World Report. You’ll graduate with an Indiana University degree respected by employers worldwide—and you can work on yours anytime and anywhere.
And the benefits start long before graduation. More than half of IU Online students advance in their careers before they complete their degree.
To apply to this program:
- Complete application for admission.
- Submit official transcripts.
Application Dates
Rolling admissions. Application review will begin upon receipt of all required application materials.
Your IU Online B.S. in Applied Statistics prepares you for careers such as:
- Statistician
- Medical researcher and analyst
- Industrial data analyst
- Market research or business analyst
- Financial manager/analyst or managing consultant
You can transfer up to 64 credit hours from a regionally accredited community college or 90 credit hours from an accredited four-year university or college.
To graduate with the B.S. in Applied Statistics, you must complete a minimum of 120 credit hours. Requirements are broken down as follows:
- Mathematics core (22 credit hours)
- Statistics and probability core (24 credit hours)
- Programming core (4 credit hours)
- Upper-level statistics electives (12 credit hours)
- General education courses as needed to fulfill the 120 credit hour requirement
| Course Number | Course Name | Credits |
|---|---|---|
| MATH-M 215 | Calculus I | 5 Credits |
| MATH-M 216 | Calculus II | 5 Credits |
| MATH-M 311 | Calculus III | 3 Credits |
| MATH-M 301 or 303 | Linear Algebra | 3 Credits |
| MATH-M 367 OR STAT-I 421 | Introduction to Statistical Programming in R OR Modern Statistical Modeling Using R and SAS | 3 Credits |
| MATH-M 463 | Introduction to Probability I | 4 Credits |
| MATH-M 466 | Introduction of Mathematical Statistics | 3 Credits |
| MATH-M 447 OR MATH-l 421 | Mathematical Modeling and Application I OR Linear Programming and Optimization Techniques | 3 Credits |
| MATH-M 448 OR MATH-l 423 Discrete Modeling | Mathematical Modeling and Application II OR Linear Programming and Optimization Techniques | 3 Credits |
| STAT-S 352 | Data Modeling and Inference | 3 Credits |
| STAT-S 412 | Statistical Learning Using R | 3 Credits |
| STAT-S 431 | Applied Linear Modeling | 3 Credits |
| STAT-S 437 | Categorical Data Analysis | 3 Credits |
| STAT-S 470 | Exploratory Data Analysis | 3 Credits |
| CSCI-A 204 | Introduction to Programming | 4 Credits |
Elective Options
| STAT-S 432 | Applied Linear Models II | 3 Credits |
| STAT-S 450 | Time Series Analysis | 3 Credits |
| STAT-S 460 | Sampling | 3 Credits |
| STAT-I 414 OR STAT-S462 | Introduction to Design of Experiments OR Statistical Design of Experiments | 3 Credits |
Find course descriptions with our Search Schedule of Classes/Courses tool.
Program cost information
Plan your finances
Program cost can vary by campus, resident status, and type of program. Use the resources below to get accurate cost estimates for your specific situation.
Contact Student Financial Services at iuosfs@iu.edu for cost information.
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