The Bachelor of Science (BS) in Mathematics prepares students for careers in academia, technology, business and the sciences. In addition to a strong mathematics core curriculum, this degree offers the opportunity to explore how mathematics is applied through concentrations in statistics, finance, physics, computer science, pre-data science, or another approved discipline as a bridge to a future career.
Admission Requirements
- Complete the Admission Requirements for Baccalaureate Degrees.
Graduation Requirements
- Complete the General University Requirements for Baccalaureate Degrees.
- Complete the General Education Requirements for Baccalaureate Degrees.
- Take a standardized test of knowledge of mathematics approved by the mathematics faculty for the purpose of evaluating program effectiveness. There is no minimum score required for graduation. This test will normally be taken during the senior year.
- Complete a portfolio demonstrating their mathematics knowledge. There is no grade for this requirement. The portfolio will normally be submitted in the semester of graduation.
- Complete the following major requirements:
| Code | Title | Credits |
|---|---|---|
| Core Courses | ||
| MATH A251 | Calculus I | 4-6 |
| or MATH A251F | F.A.T. Calculus I | |
| MATH A252 | Calculus II | 4-6 |
| or MATH A252F | F.A.T. Calculus II | |
| MATH A253 | Calculus III | 4 |
| MATH A264 | Introduction to the Mathematics Major | 1 |
| MATH A265 | Fundamentals of Mathematics | 3 |
| MATH A306 | Discrete Methods | 3 |
| MATH A314 | Linear Algebra | 3 |
| MATH A401 | Introduction to Real Analysis | 3 |
| MATH A405 | Introduction to Abstract Algebra | 3 |
| Analysis and Topology | ||
| Select one of the following: | 3 | |
| Introduction to Complex Analysis | ||
| Concepts of Topology | ||
| Introduction to Differential Geometry | ||
| Applied Math | ||
| Select one of the following: | 3 | |
| Ordinary Differential Equations | ||
| Partial Differential Equations | ||
| Numerical Analysis | ||
| Nonlinear Dynamics and Chaos | ||
| Statistics | ||
| Select one of the following: 2 | 3-4 | |
| Probability and Statistics 2 | ||
| Intermediate Statistics for the Sciences 2 | ||
| Scientific Sampling 2 | ||
| Regression Analysis 2 | ||
| Time Series Analysis | ||
| Statistical Methods | ||
| Other Mathematics Course | ||
| Select one of the following: 2 | 3 | |
| Introduction to Geometries | ||
| Introduction to Number Theory | ||
| Historical Mathematics | ||
| Select 6 additional credits from the four categories above. 2 | 6 | |
| Select from one of the following options: | 12-20 | |
Option 1: Statistics (12 credits) | ||
Complete 12 additional credits not already selected from the statistics list above | ||
Option 2: Physics (14 credits) | ||
| General Physics I | ||
| General Physics I Laboratory | ||
| General Physics II | ||
| General Physics II Laboratory | ||
Complete 6 additional credits of PHYS courses at the 300-level or higher | ||
Option 3: Computer Science (16 credits) | ||
| Introduction to Computer Science | ||
| Computer Programming I | ||
Complete 9 additional credits of CSCE courses at the 200-level or higher | ||
Option 4: Finance (18 credits) | ||
| Corporate Finance | ||
| Computer Concepts in Business | ||
| Introductory Statistics for Economics and Business | ||
Complete 9 credits of upper-division finance courses from the list below: | ||
| Investment Management | ||
| Intermediate Financial Management | ||
| International Finance | ||
| Advanced Investment Strategies | ||
| Financial Derivatives | ||
Option 5: Pre-Data Science (20 credits) 2 | ||
| Introduction to Computer Science | ||
| Computer Programming I | ||
| Computer Programming II | ||
| Data Structures and Algorithms | ||
| Database Systems | ||
Complete one of the following courses not already selected from a list above: | ||
| Machine Learning | ||
| Data Mining | ||
| Time Series Analysis | ||
Option 6: Concentration in another discipline involving mathematics (15 credits) 3 | ||
Complete 15 credits from a departmentally-approved list, of which 6 credits must be upper-division. | ||
| Mathematics Capstone Experience | 1 | |
| Select from one of the following options. | ||
| Mathematics Practicum 1 | ||
| Mathematics or Statistics Internship 1 | ||
| Advanced Readings in Mathematics 1 | ||
| Individual Research 1 | ||
| Total | 59-72 | |
- 1
A maximum of 6 credits of MATH A495A, MATH A495B, MATH A496 and MATH A498 may be applied to the degree requirements.
- 2
If completing Option 5 (Pre-Data Science), STAT A307 is required to complete the Statistics degree requirement, STAT A308 is required to complete the "Other Mathematics Course" requirement (this course is not listed above because it is not a choice for students pursuing other Options), and STAT A402 and STAT A403 are required to complete the 6 additional credits requirement.
- 3
Completion of Option 6 requires consultation with an advisor and a proposal for the choice of discipline and courses that is subject to approval by the Department of Mathematics & Statistics. Students considering Option 6 should be aware that additional prerequisites for courses that are accepted for Option 6 may result in a total credit count that exceeds 15 credits.
A minimum of 120 credits is required for the degree, of which 39 credits must be upper-division.
Honors in Mathematics
The Bachelor of Science (BS) in Mathematics recognizes distinguished achievement by conferring programmatic honors in mathematics. In order to receive honors in mathematics, a student must meet the following requirements:
- Meet the requirements for Graduation with Honors as outlined in the catalog;
- Meet the requirements for a BS in Mathematics;
- Earn a minimum cumulative GPA of 3.50 in the major requirements;
- Complete a minimum of 12 upper-division credits required for the major in residence.
Program Student Learning Outcomes
Students graduating with a Bachelor of Science (BS) in Mathematics will be able to:
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Demonstrate knowledge of the techniques of modern mathematical subjects including all of algebra, analysis, discrete mathematics, and probability and statistics.
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Demonstrate an ability to solve problems using skills such as deductive logic, data analysis, computation, modeling, connections, and other mathematical techniques.
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Demonstrate an ability to create mathematical proofs.
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Demonstrate an ability to read, write, and speak about mathematics.
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Demonstrate cognizance of their mathematical knowledge, of mathematics around them, and of the benefit of continued study of mathematics.
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Demonstrate an understanding of the connections between mathematics and another discipline relying significantly on mathematics and recognize mathematical ideas embedded in other contexts.
Sample Plan
The academic plan below is one pathway through the degree/certificate. It includes all requirements, taking into account recommendations from program faculty. Each student’s plan may vary according to their initial course placement, intended course load, additional majors and/or minors, and their placement into required prerequisite courses. Any change in the plan below can have an unforeseen impact on the rest of the plan. Therefore, it is very important to meet with your academic advisor to verify your personal academic plan.
Please review the following terms, definitions, and resources associated with the sample academic plan below.
- Each course in the far left column links to a pop-up bubble with a course description, prerequisite requirements, and associations with university requirements. For example, if a course fulfills a general education requirement, you will see that in the pop-up bubble.
- GER: indicates a General Education Requirement. GERs that also count toward degree/certificate requirements appear as a specific course in the plan. For these courses, "GER" is not indicated explicitly in the table, but if you click on the course, you will see the course's GER status in the pop-up bubble.
- Program Elective: indicates a specific course selection determined by program faculty to fulfill a degree/certificate requirement. Students should seek assistance from their academic advisor.
- Elective: indicates an open selection of 100-400 level university courses to fulfill elective credits needed to meet the minimum total credits toward the degree/certificate.
- Upper Division Program Elective: indicates a specific 300-400 level course selection determined by the program faculty to fulfill a degree/certificate requirement. Students should seek assistance from their academic advisor.
- Upper Division Elective: indicates an open selection of 300-400 level courses to fulfill elective credits needed to meet the minimum total credits toward the degree/certificate. These courses must be upper division in order to meet General University Requirements for the particular degree/certificate type.
| First Year | ||
|---|---|---|
| Fall | Credits | |
| MATH A251 | Calculus I | 4 |
| WRTG A111 | Writing Across Contexts | 3 |
| GER Natural Sciences Lecture (recommend BIOL A102) | 3 | |
| GER Oral Communication Skills | 3 | |
| Elective | 1 | |
| Credits | 14 | |
| Spring | ||
| MATH A252 | Calculus II | 4 |
| MATH A264 | Introduction to the Mathematics Major | 1 |
| GER Fine Arts | 3 | |
| GER Natural Sciences Lab | 1 | |
| GER Natural Sciences Lecture | 3 | |
| GER Written Communication Skills (recommend WRTG A213) | 3 | |
| Credits | 15 | |
| Second Year | ||
| Fall | ||
| MATH A253 | Calculus III | 4 |
| STAT A307 | Probability and Statistics or Intermediate Statistics for the Sciences or Scientific Sampling or Regression Analysis or Time Series Analysis or Statistical Methods | 4 |
| GER Alaska Native-Themed | 3 | |
| GER Humanities | 3 | |
| GER Social Sciences | 3 | |
| Credits | 17 | |
| Spring | ||
| MATH A265 | Fundamentals of Mathematics | 3 |
| MATH A314 | Linear Algebra | 3 |
| GER Humanities | 3 | |
| GER Intercultural Fluency | 3 | |
| Elective | 3 | |
| Credits | 15 | |
| Third Year | ||
| Fall | ||
| MATH A306 | Discrete Methods | 3 |
| MATH A401 | Introduction to Real Analysis | 3 |
| Upper Division Program Elective (Analysis & Topology) | 3 | |
| Upper Division Program Elective (Statistics) | 3 | |
| Upper Division Program Elective 1 | 3 | |
| Credits | 15 | |
| Spring | ||
| MATH A405 | Introduction to Abstract Algebra | 3 |
| GER Social Sciences | 3 | |
| Upper Division Program Elective (Applied Math) | 3 | |
| Upper Division Program Elective (Statistics) | 3 | |
| Upper Division Program Elective 1 | 3 | |
| Credits | 15 | |
| Fourth Year | ||
| Fall | ||
| Mathematics Capstone Experience (MATH A495A, MATH A495B, MATH A496, or MATH A498) | 1 | |
| GER Integrative Capstone | 3 | |
| Upper Division Program Elective (Statistics) | 3 | |
| Elective | 2 | |
| Elective | 3 | |
| Elective | 3 | |
| Credits | 15 | |
| Spring | ||
| Upper Division Program Elective (Statistics) | 3 | |
| Upper Division Program Elective (Other Mathematics Course) | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credits | 15 | |
| Total Credits | 121 | |
- 1
Choose 3 additional credits (6 credits in total) from the Analysis & Topology, Applied Math, Statistics, or Other Mathematics Course categories.