Mathematics: Data Optimization, BSLAS

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Mathematics, Data Optimization Concentration


Mathematics is a broad discipline that contains a range of areas of specialization within it. The required core courses provide fundamental background for mathematics in general. The concentrations allow the student to broaden this background or begin to specialize. Students must complete the core courses and a concentration.

An entering student in mathematics should have academic preparation to enroll in MATH 220 during the first semester. Admission to MATH 220 requires an acceptable ALEKS score. A student should attain grades of B in calculus in order to complete the advanced courses successfully.

Undergraduate programs in Mathematics

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Mathematics, Data Optimization Concentration


Graduation Requirements

Minimum hours required for graduation: 120 hours.

Minimum required major and supporting course work: Normally equates to 54-58 hours including 27-35 hours of mathematics beyond calculus, 3-4 hours of computer science, and 12 hours of supporting coursework. Twelve (12) hours of 300- and 400-level non-S/U-graded courses in the major must be taken on this campus.

University Requirements

Minimum of 40 hours of upper-division coursework, generally at the 300- or 400-level. These hours can be drawn from all elements of the degree.  Students should consult their academic advisor for additional guidance in fulfilling this requirement.

The university and residency requirements can be found in the Student Code (§ 3-801) and in the Academic Catalog.

General Education Requirements

Composition I4-6
Advanced Composition3
Humanities & the Arts (6 hours)6
Natural Sciences & Technology (6 hours)6
Social & Behavioral Sciences (6 hours)6
Cultural Studies: Non-Western Cultures (1 course)3
Cultural Studies: US Minority Cultures (1 course)3
Cultural Studies: Western/Comparative Cultures (1 course) 3
Quantitative Reasoning (2 courses, at least one course must be Quantitative Reasoning I)6-10
Language Requirement (Completion of the fourth semester or equivalent of a language other than English is required)0-20
Orientation and Professional Development
LAS 101Design Your First Year Experience1
OR
LAS 100
LAS 101
Success in LAS for International Students
and Design Your First Year Experience
3
OR
LAS 102Transfer Advantage1
Major Core Requirements
MATH 220Calculus4 or 5
or MATH 221 Calculus I
MATH 231Calculus II3
MATH 241Calculus III4
MATH 347Fundamental Mathematics3 or 4
or MATH 314 Introduction to Higher Mathematics
MATH 416Abstract Linear Algebra3
MATH 417Intro to Abstract Algebra3
or MATH 427 Honors Abstract Algebra
MATH 461Probability Theory3 or 4
or STAT 400 Statistics and Probability I
CS 101Intro Computing: Engrg & Sci3
or CS 124 Introduction to Computer Science I
Approved supporting coursework outside Mathematics. (Supporting coursework may be completed with 12 advisor-approved hours of a single math-related area outside of MATH/ASRM not used for a major requirement and must include at least one advanced course; ANY minor which is fulfilled with at least 12 hours of courses, including one advanced course, not used for the major nor cross-listed with MATH/ASRM; or any double major or dual degree.)12
Data Optimization Concentration
MATH 444Elementary Real Analysis3
or MATH 447 Real Variables
or MATH 424 Honors Real Analysis
CS/MATH 357Numerical Methods I3
MATH 412Graph Theory3
or MATH 484 Nonlinear Programming
STAT 410/MATH 464Statistics and Probability II3
or STAT 420/ASRM 450 Methods of Applied Statistics
MATH 482Linear Programming3

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Mathematics, Data Optimization Concentration


Sample Sequence

This sample sequence is intended to be used only as a guide for degree completion. All students should work individually with their academic advisors to decide the actual course selection and sequence that works best for them based on their academic preparation and goals. Enrichment programming such as study abroad, minors, internships, and so on may impact the structure of this four-year plan. Course availability is not guaranteed during the semester indicated in the sample sequence.

Students must fulfill their Language Other Than English requirement by successfully completing a fourth level of a language other than English. See the corresponding section on the Degree and General Education Requirements page.

First Year
First SemesterHoursSecond SemesterHours
MATH 220 or 2214MATH 2313
Composition I or General Education course3CS 101 (or CS 124 or CS 125)3
Language Other than English (3rd level)4General Education course or Composition I4
General Education course3Language Other than English (4th level)4
LAS 1011 
 15 14
Second Year
First SemesterHoursSecond SemesterHours
MATH 2414MATH 3473
General Education course3MATH 461 or STAT 4004
General Education course3Supporting Coursework3
Free elective course3General Education course3
Supporting Coursework3Free elective course2
 16 15
Third Year
First SemesterHoursSecond SemesterHours
MATH 4163MATH 444 (or MATH 447 or MATH 424)3
STAT 410 or 4203CS 3573
General Education course3General Education course3
Free elective course3Free elective course3
Supporting Coursework3Supporting Coursework3
 15 15
Fourth Year
First SemesterHoursSecond SemesterHours
MATH 417 or 4273MATH 412 or 4843
MATH 4823General Education course3
General Education course3General Education course3
Free elective course3Free elective course3
Free elective course3Free elective course3
 15 15
Total Hours 120

for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Mathematics, Data Optimization Concentration


Students with a BSLAS degree in Mathematics will be able to:

  1. construct proofs and recognize when proofs are complete.
  2. use theorems in order to solve problems.
  3. demonstrate technical proficiency in calculus and linear algebra.
  4. apply mathematics; translating real-world problems into mathematical problems and solving them.

Additionally, students in this concentration will be able to translate real-world data problems, especially those involving high-dimensionality and networks, into solid mathematical formulations.