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* [[MAT1193]] Calculus for Biosciences | * [[MAT1193]] Calculus for Biosciences | ||
* [[MAT1214]] Calculus I (4 credit hours) | * [[MAT1214]] Calculus I (4 credit hours) | ||
| + | * [[MAT1213]] Calculus I (3 credit hours) | ||
* [[MAT1224]] Calculus II (4 credit hours) | * [[MAT1224]] Calculus II (4 credit hours) | ||
| + | * [[MAT1223]] Calculus II (3 credit hours) | ||
* [[MAT2214]] Calculus III (4 credit hours) | * [[MAT2214]] Calculus III (4 credit hours) | ||
| + | * [[MAT2213]] Calculus III (3 credit hours) | ||
* [[MAT2233]] Linear Algebra | * [[MAT2233]] Linear Algebra | ||
| + | |||
| + | ===Minor in Mathematics=== | ||
| + | To receive a minor, students must complete at least 18 semester credit hours, including 6 hours at the upper-division level at UTSA, and must achieve a grade point average of at least 2.0 (on a 4.0 scale) on all work used to satisfy the requirements of a minor. See [https://catalog.utsa.edu/undergraduate/bachelorsdegreeregulations/minors/ UTSA's Undergraduate Catalog] | ||
| + | |||
| + | The Minor in Mathematics requires the Calculus series plus linear algebra, and upper division courses in either the Math Major or the Data & Applied Science Core | ||
===Data & Applied Science Core=== | ===Data & Applied Science Core=== | ||
| − | * [[MDC1213]] Mathematics, Data, | + | ==== Lower Division ==== |
| − | + | * [[MDC1213]] Sociocultural Foundations of Mathematics, Data Science, and Computing | |
| − | + | * [[MAT2253]] Applied Linear Algebra (3 credit hours) | |
| − | + | ||
| − | * [[ | + | ==== Upper Division ==== |
* [[MAT4133]]/[[MAT5133]] Mathematical Biology | * [[MAT4133]]/[[MAT5133]] Mathematical Biology | ||
| − | * [[MAT4143]]/[[MAT5143]] Mathematical Physics | + | * [[MAT4143]]/[[MAT5143]] Mathematical Physics 1 |
| − | * [[MAT4373]]/[[MAT5373]] Mathematical Statistics I (discrete & continuous PDFs) | + | * [[MAT4XXX]]/[[MAT5XXX]] Mathematical Physics 2 |
| − | * [[MAT4383]]/[[MAT5383]] Mathematical Statistics II (statistical inference) | + | * [[MAT4XXX]]/[[MAT5XXX]] Introduction to Quantum Information Science and Engineering |
| − | * [[ | + | * [[MAT4373]]/[[MAT5373]] Mathematical Foundations of Statistics I (discrete & continuous PDFs) |
| + | * [[MAT4383]]/[[MAT5383]] Mathematical Foundations of Statistics II (statistical inference) | ||
| + | * [[MDC4153]]/[[MDC5153]] Mathematical Foundations of Data Analytics | ||
===Math Major=== | ===Math Major=== | ||
| + | ==== Lower Division ==== | ||
| + | * [[MAT1313]] Algebra and Number Systems | ||
| + | * [[MAT2313]] Combinatorics and Probability | ||
| + | |||
| + | ==== Upper Division ==== | ||
* [[MAT3003]] Discrete Mathematics | * [[MAT3003]] Discrete Mathematics | ||
| − | * [[ | + | * <del>[[MAT3013]] Foundations of Mathematics</del> Course transitioning to be replaced by [[MAT3003]] Discrete Mathematics (below). |
| − | + | * <del>[[MAT3213]] Foundations of Analysis</del> Course transitioning to be replaced by [[MAT3333]] Fundamentals of Analysis and Topology (below). | |
| − | * < | + | * [[MAT3333]] Fundamentals of Analysis and Topology |
| − | * [[ | + | * [[MAT3233]] Modern Algebra |
| − | * [[MAT3233]] | + | * [[MAT3333]] Fundamentals of Analysis and Topology |
| − | * [[ | + | * [[MAT3313]] Logic and Computability |
* [[MAT3613]] Differential Equations I | * [[MAT3613]] Differential Equations I | ||
* [[MAT3623]] Differential Equations II | * [[MAT3623]] Differential Equations II | ||
| Line 40: | Line 55: | ||
* [[MAT4213]] Real Analysis I | * [[MAT4213]] Real Analysis I | ||
* [[MAT4223]] Real Analysis II | * [[MAT4223]] Real Analysis II | ||
| − | * [[MAT4233]] Abstract Algebra | + | * [[MAT4233]] Modern Abstract Algebra |
* [[MAT4273]] Topology | * [[MAT4273]] Topology | ||
* [[MAT4283]] Computing for Mathematics | * [[MAT4283]] Computing for Mathematics | ||
| + | * [[MAT4323]] Applied Graph Theory | ||
* [[MAT4373]] Mathematical Statistics I | * [[MAT4373]] Mathematical Statistics I | ||
| + | * [[MAT43XX]]/[[MAT53XX]] Mathematics of Quantum Computing | ||
===Business=== | ===Business=== | ||
| Line 63: | Line 80: | ||
=== Core M.Sc. Studies === | === Core M.Sc. Studies === | ||
Core courses, common across all M.Sc. tracks, must be at least 50% of the credit 30 hours needed to obtain a M.Sc. degree. The following courses add up to 15 credit hours. | Core courses, common across all M.Sc. tracks, must be at least 50% of the credit 30 hours needed to obtain a M.Sc. degree. The following courses add up to 15 credit hours. | ||
| − | * Two courses in the Analysis | + | * Two courses in the Analysis & Algebra sequences in the following combinations: |
** [[MAT5173]] Algebra I & [[MAT5183]] Algebra II. | ** [[MAT5173]] Algebra I & [[MAT5183]] Algebra II. | ||
| + | ** [[MAT5173]] Algebra I & [[MAT5243]] General Topology I. | ||
| + | ** [[MAT5243]] General Topology I & [[MAT5253]] General Topology II. | ||
** [[MAT5203]] Analysis I & [[MAT5213]] Analysis II | ** [[MAT5203]] Analysis I & [[MAT5213]] Analysis II | ||
| − | ** [[MAT5173]] Algebra & [[MAT5203]] Analysis I. | + | ** [[MAT5173]] Algebra I & [[MAT5203]] Analysis I. |
| − | * [[ | + | ** [[MAT5173]] Algebra I & [[MAT5123]] Cryptography I. |
| − | * [[MAT5423]] Discrete Mathematics I | + | ** [[MAT5123]] Cryptography I & [[MAT5323]] Cryptography II. |
| − | * [[ | + | * Two courses in Discrete Mathematics among the following: |
| + | ** [[MAT5423]] Discrete Mathematics I | ||
| + | ** [[MAT5433]] Discrete Mathematics II | ||
| + | * One course in computation among the following: | ||
| + | ** [[MAT5373]] Mathematical Statistics I | ||
| + | ** [[MDC5153]] Data Analytics | ||
| + | * [[MAT5283]] Linear Algebra | ||
=== Qualifying Examination Tracks === | === Qualifying Examination Tracks === | ||
| − | * [[MAT5183]] Algebra II | + | * [[MAT5183]] Algebra II (Pure, Applied tracks) |
| − | * [[MAT5123]] Cryptography | + | * [[MAT5123]] Cryptography (Pure, Applied tracks) |
| − | * [[MAT5323]] Cryptography II | + | * [[MAT5323]] Cryptography II (Pure, Applied tracks)) |
| − | * [[MAT5213]] Analysis II | + | * [[MAT5213]] Analysis II (Pure track) |
| − | * [[MAT5113]] Computing for Mathematics | + | * [[MAT5113]] Computing for Mathematics (Pure, Applied tracks) |
| − | * [[MAT5433]] Discrete Mathematics II | + | * [[MAT5433]] Discrete Mathematics II (Pure, Applied tracks) |
| − | * | + | * [[MAT5383]] Mathematical Statistics II (Applied tracks) |
| + | * [[MAT58XX]] Mathematics of Quantum Computation (Pure, applied tracks) | ||
=== M.Sc. Track in Pure Mathematics === | === M.Sc. Track in Pure Mathematics === | ||
| − | * [[ | + | * [[MAT5443]] Logic and Computability |
| + | * [[MAT5453]] Quantum Logic | ||
* [[MAT5243]] General Topology | * [[MAT5243]] General Topology | ||
* [[MAT5253]] General Topology II | * [[MAT5253]] General Topology II | ||
| Line 90: | Line 117: | ||
=== M.Sc. Track in Applied & Industrial Mathematics === | === M.Sc. Track in Applied & Industrial Mathematics === | ||
| − | * [[ | + | * [[MDC5153]] Data Analytics |
* [[AIM 5113]] Introduction to Industrial Mathematics | * [[AIM 5113]] Introduction to Industrial Mathematics | ||
* [[MAT 5113]] Computing for Mathematics | * [[MAT 5113]] Computing for Mathematics | ||
Latest revision as of 12:36, 26 January 2025
UTSA Department of Mathematics
To edit tables in each course below, you can use MediaWiki-to-Excel converter and/or the Excel-to-MediaWiki converter
Undergraduate Studies
STEM Core
- MAT1073 College Algebra for Scientists and Engineers
- MAT1093 Precalculus
- MAT1193 Calculus for Biosciences
- MAT1214 Calculus I (4 credit hours)
- MAT1213 Calculus I (3 credit hours)
- MAT1224 Calculus II (4 credit hours)
- MAT1223 Calculus II (3 credit hours)
- MAT2214 Calculus III (4 credit hours)
- MAT2213 Calculus III (3 credit hours)
- MAT2233 Linear Algebra
Minor in Mathematics
To receive a minor, students must complete at least 18 semester credit hours, including 6 hours at the upper-division level at UTSA, and must achieve a grade point average of at least 2.0 (on a 4.0 scale) on all work used to satisfy the requirements of a minor. See UTSA's Undergraduate Catalog
The Minor in Mathematics requires the Calculus series plus linear algebra, and upper division courses in either the Math Major or the Data & Applied Science Core
Data & Applied Science Core
Lower Division
- MDC1213 Sociocultural Foundations of Mathematics, Data Science, and Computing
- MAT2253 Applied Linear Algebra (3 credit hours)
Upper Division
- MAT4133/MAT5133 Mathematical Biology
- MAT4143/MAT5143 Mathematical Physics 1
- MAT4XXX/MAT5XXX Mathematical Physics 2
- MAT4XXX/MAT5XXX Introduction to Quantum Information Science and Engineering
- MAT4373/MAT5373 Mathematical Foundations of Statistics I (discrete & continuous PDFs)
- MAT4383/MAT5383 Mathematical Foundations of Statistics II (statistical inference)
- MDC4153/MDC5153 Mathematical Foundations of Data Analytics
Math Major
Lower Division
Upper Division
- MAT3003 Discrete Mathematics
MAT3013 Foundations of MathematicsCourse transitioning to be replaced by MAT3003 Discrete Mathematics (below).MAT3213 Foundations of AnalysisCourse transitioning to be replaced by MAT3333 Fundamentals of Analysis and Topology (below).- MAT3333 Fundamentals of Analysis and Topology
- MAT3233 Modern Algebra
- MAT3333 Fundamentals of Analysis and Topology
- MAT3313 Logic and Computability
- MAT3613 Differential Equations I
- MAT3623 Differential Equations II
- MAT3633 Numerical Analysis
- MAT3223 Complex Variables
- MAT4033 Linear Algebra II
- MAT4213 Real Analysis I
- MAT4223 Real Analysis II
- MAT4233 Modern Abstract Algebra
- MAT4273 Topology
- MAT4283 Computing for Mathematics
- MAT4323 Applied Graph Theory
- MAT4373 Mathematical Statistics I
- MAT43XX/MAT53XX Mathematics of Quantum Computing
Business
Math for Liberal Arts
- MAT1043 Introduction to Mathematics
Elementary Education
- MAT1023 College Algebra
- MAT1153 Essential Elements in Mathematics I
- MAT1163 Essential Elements in Mathematics II
General Math Studies
- MAT3233 Modern Algebra
Graduate Studies
Core M.Sc. Studies
Core courses, common across all M.Sc. tracks, must be at least 50% of the credit 30 hours needed to obtain a M.Sc. degree. The following courses add up to 15 credit hours.
- Two courses in the Analysis & Algebra sequences in the following combinations:
- MAT5173 Algebra I & MAT5183 Algebra II.
- MAT5173 Algebra I & MAT5243 General Topology I.
- MAT5243 General Topology I & MAT5253 General Topology II.
- MAT5203 Analysis I & MAT5213 Analysis II
- MAT5173 Algebra I & MAT5203 Analysis I.
- MAT5173 Algebra I & MAT5123 Cryptography I.
- MAT5123 Cryptography I & MAT5323 Cryptography II.
- Two courses in Discrete Mathematics among the following:
- One course in computation among the following:
- MAT5283 Linear Algebra
Qualifying Examination Tracks
- MAT5183 Algebra II (Pure, Applied tracks)
- MAT5123 Cryptography (Pure, Applied tracks)
- MAT5323 Cryptography II (Pure, Applied tracks))
- MAT5213 Analysis II (Pure track)
- MAT5113 Computing for Mathematics (Pure, Applied tracks)
- MAT5433 Discrete Mathematics II (Pure, Applied tracks)
- MAT5383 Mathematical Statistics II (Applied tracks)
- MAT58XX Mathematics of Quantum Computation (Pure, applied tracks)
M.Sc. Track in Pure Mathematics
- MAT5443 Logic and Computability
- MAT5453 Quantum Logic
- MAT5243 General Topology
- MAT5253 General Topology II
- MAT5323 Cryptography II
- MAT5183 Algebra II
- MAT5223 Theory of Functions of a Complex Variable
- MAT5343 Differential Geometry
M.Sc. Track in Applied & Industrial Mathematics
- MDC5153 Data Analytics
- AIM 5113 Introduction to Industrial Mathematics
- MAT 5113 Computing for Mathematics
- MAT 5653 Differential Equations I
- MAT 5673 Partial Differential Equations
