Bachelor of Science in Mathematics (Data Science)
About This Program
The Bachelor of Science in Mathematics with an emphasis on Data Science provides a mathematics major with the interdisciplinary skills to derive insights in science and business from big data.
Competencies
- The student will gain knowledge and skills in mathematics and data science that will prepare them for jobs and careers in data science.
- The student will a gain knowledge and skills in mathematics and data science that will prepare them for graduate school in data science.
- The student will gain interdisciplinary skills for deriving insights in science and business from big data.
- The student will gain knowledge and skills in a wide range of mathematical fields, including abstract algebra, analysis, and statistics.
- The student will gain knowledge and understanding of definitions and theorems on abstract mathematical concepts.
- The student will gain knowledge and skills in solving problems and writing proofs about abstract mathematical concepts.
Curriculum
| Foundations | ||
| General Core Requirements | 42 | |
| Students must complete specific courses within certain core areas | ||
| For Communication, select: | ||
| RHETORIC AND COMPOSITION I | ||
| For Mathematics, select: | ||
| CALCULUS I | ||
| CALCULUS II | ||
| Select one of the following Life & Physical Sciences sequences: | ||
| BIOLOGY I FOR SCIENCE MAJORS: CELL AND MOLECULAR BIOLOGY and BIOLOGY II FOR SCIENCE MAJORS: ECOLOGY AND EVOLUTION | ||
| GENERAL CHEMISTRY I and GENERAL CHEMISTRY II | ||
| EARTH SYSTEMS and EARTH HISTORY | ||
| GENERAL TECHNICAL PHYSICS I and GENERAL TECHNICAL PHYSICS II | ||
| Mathematics Foundations | ||
| Additional hours required in core from Calculus core sequence. | 2 | |
| UNIV 1131 | STUDENT SUCCESS | 1 |
| or UNIV 1101 | CAREER PREPARATION AND STUDENT SUCCESS | |
| Select two courses in Life & Physical Science approved for the core and not previously taken. | 6 | |
| Mathematics Specialization | ||
| MATH 2326 | CALCULUS III | 3 |
| MATH 3300 | INTRODUCTION TO PROOFS (satisfies Oral Communication Competency) | 3 |
| MATH 3302 | MULTIVARIATE STATISTICAL METHODS | 3 |
| MATH 3313 | INTRODUCTION TO PROBABILITY | 3 |
| MATH 3314 | DISCRETE MATHEMATICS | 3 |
| MATH 3316 | STATISTICAL INFERENCE | 3 |
| MATH 3318 | DIFFERENTIAL EQUATIONS | 3 |
| MATH 3321 | ABSTRACT ALGEBRA I | 3 |
| MATH 3330 | INTRODUCTION TO LINEAR ALGEBRA AND VECTOR SPACES | 3 |
| MATH 3335 | ANALYSIS I | 3 |
| MATH 3345 | NUMERICAL ANALYSIS AND COMPUTER APPLICATIONS | 3 |
| MATH 4311 | STOCHASTIC MODELS AND SIMULATION | 3 |
| Select one of the following: | 3 | |
| MATHEMATICAL STATISTICS | ||
| ADVANCED DISCRETE MATHEMATICS | ||
| MATHEMATICS RESEARCH | ||
| Select a MATH course numbered 3301 or above, except for capstone courses specifically for prospective middle grades or secondary grades teachers. | 3 | |
| Select one of the following: | 3 | |
| ABSTRACT ALGEBRA II | ||
| ADVANCED LINEAR ALGEBRA | ||
| ADVANCED MULTIVARIABLE CALCULUS | ||
| ANALYSIS II | ||
| Data Science Specialization | ||
| DATA 3401 | PYTHON FOR DATA SCIENCE 1 | 4 |
| DATA 3402 | PYTHON FOR DATA SCIENCE 2 | 4 |
| DATA 3421 | DATA MINING, MANAGEMENT, AND CURATION | 4 |
| DATA 3441 | STATISTICAL METHODS FOR DATA SCIENCE 1 | 4 |
| DATA 3442 | STATISTICAL METHODS FOR DATA SCIENCE 2 | 4 |
| DATA 3461 | MACHINE LEARNING | 4 |
| Total Hours | 120 | |
SUGGESTED COURSE SEQUENCE
| First Year | |||
|---|---|---|---|
| First Semester | Hours | Second Semester | Hours |
| MATH 1426 | 4 | MATH 2425 | 4 |
| Life and Physical Science | 3-4 | MATH 3316 | 3 |
| ENGL 1301 | 3 | Life and Physical Science | 3-4 |
| Creative Arts | 3 | DATA 3401 | 4 |
| UNIV 1131 (or UNIV 1101) | 1 | ||
| 14-15 | 14-15 | ||
| Second Year | |||
| First Semester | Hours | Second Semester | Hours |
| MATH 2326 | 3 | MATH 3318 | 3 |
| MATH 3300 | 3 | MATH 3321 | 3 |
| MATH 3330 | 3 | DATA 3421 | 4 |
| DATA 3402 | 4 | Language, Philosophy, and Culture | 3 |
| Communication | 3 | ||
| 13 | 16 | ||
| Third Year | |||
| First Semester | Hours | Second Semester | Hours |
| MATH 3345 | 3 | MATH 3302 | 3 |
| MATH 3313 | 3 | MATH 4311 | 3 |
| MATH 3335 | 3 | Select one of the following: | 3 |
| MATH 3314 | 3 | ||
| DATA 3441 | 4 | ||
| DATA 3442 | 4 | ||
| Social and Behavioral Science | 3 | ||
| 16 | 16 | ||
| Fourth Year | |||
| First Semester | Hours | Second Semester | Hours |
| DATA 3461 | 4 | Select one of the following: | 3 |
| Component Area | 3 | ||
| POLS 2311 or POLS 2312 | 3 | ||
| History core | 3 | ||
| Life and Physical Science | 3-4 | ||
| MATH 33XX (Math Elective) | 3 | ||
| History core | 3 | ||
| Life and Physical Science (Sequence) | 3-4 | ||
| POLS 2311 or 2312 | 3 | ||
| 16-17 | 15-16 | ||
| Total Hours: 120-124 | |||
Advising Resources
First-time-in-college students should plan to speak to the math advisor when starting their second year. Transfer students should contact the math advisor after acceptance at UTA to create a degree plan and enroll in classes.
Location:
PKH 489
Email:
math.advising@uta.edu
Phone:
817-272-9688