Department of Statistics
Bachelor of Science in Statistics
Students on Summer 2018, Fall 2018, or Spring 2019 requirements STATBS
Requirements
The major requires at least 31 credit hours (46 credit hours including the Addenda Requirements), including the requirements listed below.
- Core Statistics Courses.
- Statistical Inference. One (1) course:
- STAT-S 320 Introduction to Statistics
- STAT-S 350 Introduction to Statistical Inference
STAT-S 320 Introduction to Statistics
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-S 212, MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations using actual data sets from various disciplines.
- Repeatability
- Credit given for only one of STAT-S 320 or STAT-S 350.
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STAT-S 350 Introduction to Statistical Inference
- Credits
- 3
- Prerequisites
- One of the following: (1) (MATH-M 118, MATH-A 118, MATH-S 118, MATH-V 118, or [MATH-D 116 and MATH-D 117]) and (MATH-M 119, MATH-J 113, or MATH-V 119) and (STAT-H 100, STAT-K 310, STAT-S 100, STAT-S 211, STAT-S 300, STAT-S 301, STAT-S 303, ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-E 265, MATH-M 365, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, or SPH-Q 381); (2) or (MATH-M 119 and MATH-X 201); (3) or MATH-M 211; or (4) (MATH-M 212 or MATH-S 212); (5) or consent of instructor
- Description
- Explores the formulation of statistical inference using probability models. Addresses point estimation, hypothesis testing, and set estimation for various models, including 1-, 2-, and K-sample location problems, goodness-of-fit, correlation and regression.
- Repeatability
- Credit given for only one of STAT-S 320 or STAT-S 350.
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- Data Modeling and Inference.
- STAT-S 352 Data Modeling and Inference
STAT-S 352 Data Modeling and Inference
- Credits
- 3
- Prerequisites
- STAT-S 320 or STAT-S 350; or consent of instructor
- Description
- Intermediate-level survey of resampling, likelihood, and Bayesian methods of statistical inference. Distributional models of various data types. Categorical, count, time-to-event, time series, linear models, and hierarchical regression models.
- Introduction to Statistical Theory. One (1) course:
- STAT-S 420 Introduction to Statistical Theory
STAT-S 420 Introduction to Statistical Theory
- Credits
- 3
- Prerequisites
- STAT-S 320 or STAT-S 350; and MATH-M 463 or MATH-S 463; or consent of instructor
- Description
- Fundamental concepts and principles of data reduction and statistical inference, including the method of maximum likelihood, the method of least squares, and Bayesian inference. Theoretical justification of statistical procedures introduced in STAT-S 320.
- Applied Linear Models. Two (2) courses:
- STAT-S 431 Applied Linear Models I
- STAT-S 432 Applied Linear Models II
STAT-S 431 Applied Linear Models I
- Credits
- 3
- Prerequisites
- (STAT-S 350 and one of MATH-M 301, MATH-M 303, or MATH-S 303); or MATH-E 201; or consent of instructor
- Description
- Part I of a two-semester sequence on linear models. Presents the analysis of simple and multiple linear regression in the presence of simple and complex regressors. Introduces transformations, regression diagnostics, influence analysis, and regression shrinkage methods.
STAT-S 432 Applied Linear Models II
- Credits
- 3
- Prerequisites
- STAT-S 431; or consent of instructor
- Description
- Part II of a two-semester sequence on linear models, emphasizing linear regression and the analysis of variance, including topics from the design of experiments and culminating in the general linear model.
- Statistical Consulting. One (1) course:
- STAT-X 498 Statistical Consulting
STAT-X 498 Statistical Consulting
- Credits
- 4
- Prerequisites
- Consent of instructor
- Description
- Development of effective consulting skills, including the conduct of consulting sessions, collaborative problem-solving, using professional resources, and preparing verbal and written reports. Interactions with clients will be coordinated by the Indiana Statistical Consulting Center.
- Repeatability
- Credit given for only one of STAT-S 490 or STAT-X 498.
- Statistical Inference. One (1) course:
- Probability. One (1) course:
- MATH-M 463 Introduction to Probability Theory I
- MATH-S 463 Honors Course in Probability Theory I
MATH-M 463 Introduction to Probability Theory I
- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Description
- The meaning of probability. Random experiments, conditional probability, independence. Random variables, expected values and standard deviations, moment generating functions. Important discrete and continuous distributions. Poisson processes. Multivariate distributions, basic limit laws such as the central limit theorem.
- Repeatability
- Credit given for only one of MATH-M 463 or MATH-S 463.
MATH-S 463 Honors Course in Probability Theory I
- Credits
- 3
- Prerequisites
- MATH-S 303 and MATH-S 311; or consent of instructor
- Description
- Honors version of MATH-M 463. For students of outstanding ability in mathematics.
- Statistics Electives. Two (2) courses:
- Any STAT-S 400–499 except STAT-S 420; STAT-S 431; STAT-S 432
- Computer Proficiency. One (1) course:
- CSCI-C 200 Introduction to Computers and Programming
CSCI-C 200 Introduction to Computers and Programming
- Description
- This course is an introduction, broadly, to algorithmic thinking and, specifically, to programming. It teaches the basics of programming using real world applications in natural, physical and social sciences. Students will develop ability to program by identifying problems in real world and then creating a program that solves the problem.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
- Addenda Requirements*.
- Calculus I. One (1) course:
- MATH-M 211 Calculus I
- MATH-S 211
MATH-M 211 Calculus I
- Credits
- 4
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus, and trigonometry as indicated by an appropriate ALEKS score or completion of MATH-M 027
- Description
- Limits, continuity, derivatives, definite and indefinite integrals, applications.
- Repeatability
- A student may receive credit for only one of the following: MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211.
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- Calculus II. One (1) course:
- MATH-M 212 Calculus II
- MATH-S 212 Honors Calculus II
MATH-M 212 Calculus II
- Credits
- 4
- Prerequisites
- MATH-M 211 or MATH-S 211; or consent of department
- Description
- Techniques of integration (by parts, trigonometric substitutions, partial fractions), improper integrals, volume, work, arc length, surface area, infinite series.
- Repeatability
- Credit given for only one of MATH-M 120 or MATH-M 212.
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MATH-S 212 Honors Calculus II
- Credits
- 4
- Prerequisites
- MATH-S 211 or consent of department
- Description
- Includes material of MATH-M 212 and supplemental topics. Designed for students of outstanding ability in mathematics.
- Repeatability
- Credit given for only one of MATH-M 120, MATH-M 212, or MATH-S 212.
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- Calculus III. One (1) course:
- MATH-M 311 Calculus III
- MATH-S 311 Honors Course in Calculus III
MATH-M 311 Calculus III
- Credits
- 4
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; multiple integration.
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MATH-S 311 Honors Course in Calculus III
- Credits
- 4
- Prerequisites
- MATH-S 212 or consent of instructor; and MATH M-301, MATH M-303, or MATH S-303
- Description
- Honors version of MATH-M 311, covering geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; and multiple integration. For students with unusual aptitude and motivation.
- Repeatability
- Credit given for only one of MATH-M 311 or MATH-S 311.
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- Linear Algebra. One (1) course:
- MATH-M 301 Linear Algebra and Applications
- MATH-M 303 Linear Algebra for Undergraduates
- MATH-S 303 Honors Course in Linear Algebra
MATH-M 301 Linear Algebra and Applications
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Solving systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors. Selection of advanced topics. Applications throughout. Computer used for theory and applications.
- Repeatability
- Credit given for only one of MATH-M 301 or MATH-M 303.
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MATH-M 303 Linear Algebra for Undergraduates
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Introduction to the theory of real vector spaces. Coordinate s, linear dependence, bases. Linear transformations and matrix calculus. Determinants and rank. Eigenvalues and eigenvectors.
- Repeatability
- Credit given for only one of MATH-M 301, MATH-M 303, or MATH-S 303.
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MATH-S 303 Honors Course in Linear Algebra
- Credits
- 3
- Prerequisites
- Consent of department
- Description
- Honors version of MATH-M 303. For students with unusual aptitude and motivation.
- Repeatability
- Not open to those who have had MATH-M 301 or MATH-M 303.
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- Calculus I. One (1) course:
- Major GPA, Hours, and Minimum Grade Requirements.
- At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- At least 18 credit hours in the major must be completed at the 300–499 level.
- Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.
- A GPA of at least 2.000 for all courses taken in the major—including those where a grade lower than C- is earned—is required.
- Exceptions to major requirements may be made with the approval of the department's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.
Notes
The Bachelor of Science degree requires at least 120 credit hours, to include the following:
- College of Arts and Sciences Credit Hours. At least 100 credit hours must come from College of Arts and Sciences disciplines.
- Upper Division Courses. At least 36 credit hours (of the 120) must be at the 300–499 level.
- College Residency. Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- College GPA. A cumulative grade point average (GPA) of at least 2.000 is required for all courses taken at Indiana University.
- CASE Requirements. The following College of Arts and Sciences Education (CASE) requirements must be completed:
- CASE Foundations
- CASE Breadth of Inquiry
- CASE Culture Studies
- Diversity in the United States: Not required
- Global Civilizations and Cultures: Not required
- CASE Critical Approaches: 1 course
- CASE Foreign Language: Proficiency in a single foreign language through the first semester of the second year of college-level coursework
- CASE Intensive Writing: 1 course
- CASE Public Oral Communication: 1 course
- Major. Completion of the major as outlined in the Major Requirements section above.
Most students must also successfully complete the Indiana University Bloomington General Education program.
Subject areas
- Any AAAD course that carries degree credit
- Any AAST course that carries degree credit
- Any ABEH course that carries degree credit
- Any AFRI course that carries degree credit
- Any AMST course that carries degree credit
- Any ANTH course that carries degree credit
- Any ARTH course that carries degree credit
- Any ASCS course that carries degree credit
- Any AST course that carries degree credit
- Any BIOC course that carries degree credit
- Any BIOL course that carries degree credit
- Any BIOT course that carries degree credit
- Any CEUS course that carries degree credit
- Any CHEM course that carries degree credit
- Any CJUS course that carries degree credit
- Any CLAS course that carries degree credit
- Any CLLC course that carries degree credit
- Any CMLT course that carries degree credit
- Any COGS course that carries degree credit
- Any COLL course that carries degree credit
- Any EALC course that carries degree credit
- Any EAS course that carries degree credit
- Any ECON course that carries degree credit
- Any ENG course that carries degree credit
- Any EURO course that carries degree credit
- Any FOLK course that carries degree credit
- Any FRIT course that carries degree credit
- Any GEOG course that carries degree credit
- Any GER course that carries degree credit
- Any GLLC course that carries degree credit
- Any GNDR course that carries degree credit
- Any HHC course that carries degree credit
- Any HISP course that carries degree credit
- Any HIST course that carries degree credit
- Any HON course that carries degree credit
- Any HPSC course that carries degree credit
- Any HUBI course that carries degree credit
- Any IMP course that carries degree credit
- Any INST course that carries degree credit
- Any INTL course that carries degree credit
- Any JSTU course that carries degree credit
- Any LAMP course that carries degree credit
- Any LATS course that carries degree credit
- Any LING course that carries degree credit
- Any LTAM course that carries degree credit
- Any MATH course that carries degree credit
- Any MELC course that carries degree credit
- Any MEST course that carries degree credit
- Any MLS course that carries degree credit
- Any MSCH course that carries degree credit
- Any NEUS course that carries degree credit
- Any OVST course that carries degree credit
- Any PACE course that carries degree credit
- Any PHIL course that carries degree credit
- Any PHYS course that carries degree credit
- Any POLS course that carries degree credit
- Any PSY course that carries degree credit
- Any REEI course that carries degree credit
- Any REL course that carries degree credit
- Any RMI course that carries degree credit
- Any SEAS course that carries degree credit
- Any SGIS course that carries degree credit
- Any SLAV course that carries degree credit
- Any SLHS course that carries degree credit
- Any SLST course that carries degree credit
- Any SOAD course that carries degree credit
- Any SOC course that carries degree credit
- Any STAT course that carries degree credit
- Any THTR course that carries degree credit