Departments & Programs
Department of Mathematical Sciences
Undergraduate and Graduate Minors in Mathematical Sciences
Undergraduate Mathematics and Statistics for Data Science Minor
An undergraduate minor in mathematics and statistics is useful in many fields. The curriculum for this minor provides background in linear algebra and statistics needed for advanced work in data science and computer science. Students from various disciplines can benefit from this minor: e.g. Computer Science and Data Science (Luddy School of Informatics), and Digital Forensics (School of Science). This minor exposes students to critical thinking, high-level problem-solving, and mathematics. It will be advantageous to those pursuing careers involving of mathematics and statistics, including: science teachers, technical journalism, computer programming, artificial intelligence, science writing, and data science.
Requirements
- Required Courses (21 credit hours):
- MATH-I 241 Calculus for Data Science I (3 cr.)
- MATH-I 242 Calculus for Data Science II (3 cr.)
- MATH-I 243 Linear Algebra for Data Science I (3 cr.)
- MATH-I 354 Linear Algebra for Data Science II (3 cr.)
- STAT-I 416 Probability (3 cr.)
- STAT-I 417 Statistical Theory (3 cr.)
- STAT-I 421 Modern Statistical Modeling Using R and SAS (3 cr.)
- Nine (9) credit hours of the minor must be completed at IU Indianapolis.
- The grade in each course submitted for the minor must be C (2.00) or higher.*
*A single grade of C- (1.70) will be allowed in any MATH or STAT course counting towards the minor.
Correspondence courses may not be used to fulfill requirements for the minor.
Undergraduate Math Minor
An undergraduate minor in mathematics is useful in many fields. A scientist or engineer may need knowledge of differential equations and linear algebra, while someone in business or a social science may need a background in probability or statistics.
Requirements
- Calculus Sequence (15 credit hours):
- MATH-I 165 Analytic Geometry and Calculus I (4 cr.)
- MATH-I 166 Analytic Geometry and Calculus II (4 cr.)
- MATH-I 171 Multidimensional Mathematics (3 cr.)
- MATH-I 261 Multivariate Calculus (4 cr.)
- Two additional courses (3 credit hours each) selected from mathematics courses numbered MATH-I 266 or higher or from statistics courses numbered STAT-I 350 or higher
- Nine (9) credit hours of the minor must be completed at IU Indianapolis.
- The grade in each course submitted for the minor must be C (2.00) or higher.*
*A single grade of C- (1.70) will be allowed in any MATH or STAT course counting towards the minor.
Correspondence courses may not be used to fulfill requirements for the minor.
Doctoral Minors
Minor in Mathematical Sciences:
This minor is intended for students who are doing their Ph.D. in departments other than Mathematical Sciences. The doctoral minors are restricted to School of Science Ph.D. students.
Requirements
A student must pass any two 3 credit 500 level MATH or STAT courses.
Minor in Algebra and Discrete Mathematics:
This minor is intended for students who are doing their Ph.D. in the Department of Mathematical Sciences and who are not specializing in the area of Algebra and Discrete Mathematics.
Requirements
A student must pass two of the following 3-credit courses:
MATH-I 518 Advanced Discrete Mathematics
MATH-I 574 Mathematical Physics I
MATH-I 674 Mathematical Physics II
Minor in Applied Mathematics:
This minor is intended for students who are doing their Ph.D. in the Department of Mathematical Sciences and who are not specializing in the area of Applied Mathematics.
Requirements
A student must pass two of the following 3-credit courses:
MATH-I 514 Numerical Analysis
MATH-I 520 Boundary Val. Problems and Differential Equations
MATH-I 522 Qual. Theory of Differential Equations
MATH-I 526 Principles of Mathematical Modeling
MATH-I 535 Theoretical Mechanics
MATH-I 552 Applied Computational Methods II
MATH-I 555 Introduction to Biomathematics
MATH-I 578 Mathematical Modeling of Physical Systems I
MATH-I 588 Mathematical Modeling of Physical Systems II
Minor in Geometry and Topology:
This minor is intended for students who are doing their Ph.D. in the Department of Mathematical Sciences and who are not specializing in the area of Geometry and Topology.
Requirements
A student must pass two of the following 3-credit courses:
MATH-I 562 Intro to Diff. Geometry and Topology
MATH-I 563 Advanced Geometry
MATH-I 571 Elementary Topology
MATH-I 572 Intro. to Algebraic Topology
MATH-I 567 Dynamical Systems I
MATH-I 667 Dynamical Systems II
MATH-I 672 Algebraic Topology I
MATH-I 673 Algebraic Topology II
Minor in Mathematical Analysis:
This minor is intended for students who are doing their Ph.D. in the Department of Mathematical Sciences and who are not specializing in the area of Mathematical Analysis.
Requirements
A student must pass two of the following 3-credit courses:
MATH-I 520 Boundary Val. Problems Differential Equations
MATH-I 523 Intro to Partial Differential Equations
MATH-I 531 Functions of a Complex Var. II
MATH-I 545 Principles of Analysis II
MATH-I 546 Intro to Functional Analysis
MATH-I 574 Mathematical Physics I
MATH-I 646 Functional Analysis
MATH-I 674 Mathematical Physics II
Minor in Statistics:
This minor is intended for students who are doing their Ph.D. in the Department of Mathematical Sciences and who are not specializing in the area of Statistics.
Requirements
A student must pass two of the following 3-credit courses:
STAT-I 512 Applied Regression Analysis
STAT-I 513 Statistical Quality Control
STAT-I 514 Design of Experiments
STAT-I 519 Introduction to Probability
STAT-I 520 Time Series and Applications
STAT-I 521 Statistical Computing
STAT-I 522 Sampling and Survey Techniques
STAT-I 523 Categorical Data Analysis
STAT-I 524 Applied Multivariate Analysis
STAT-I 525 Generalized Linear Model
STAT-I 528 Mathematical Statistics I
STAT-I 529 Bayesian Statistics and Applied Decision Theory
STAT-I 532 Elements of Stochastic Processes
STAT-I 533 Nonparametric Statistics
STAT-I 536 Introduction to Survival Analysis
STAT-I 619 Probability Theory
STAT-I 628 Advanced Statistical Inference
