Bachelor of Science in Data Science (Biology)
About This Program
In the Bachelor of Science in Data Science Biology concentration, students integrate biological knowledge with data science methods to analyze biological systems, genomic data, and ecological patterns. This combination prepares students for roles that require managing and interpreting biological data in research, healthcare, environmental fields, and beyond. Beyond the UTA Core Curriculum requirements, the degree requires a sequence of courses in Mathematics, Data Science, and Biology. In addition, students must complete a year-long Capstone project in collaboration with a supervisor within the College of Science or an Industry Partner.
Competencies
- Upon completion, students will demonstrate knowledge of fundamentals of mathematics and statistics, in applications to data science.
- Upon completion, students will demonstrate knowledge of computer programming through receiving a certificate, and therefore passing, a programming course.
- Upon completion, students will demonstrate the ability to effectively work in teams to complete data science projects
Curriculum
| Foundations | ||
| General Core Requirements | 42 | |
| Students are required to complete specific courses in certain core areas. | ||
| For Communication select: | ||
| RHETORIC AND COMPOSITION I | ||
An additional communication area course. | ||
| For Life & Physical Science select: | ||
| BIOLOGY I FOR SCIENCE MAJORS: CELL AND MOLECULAR BIOLOGY | ||
| BIOLOGY II FOR SCIENCE MAJORS: ECOLOGY AND EVOLUTION | ||
| For Mathematics select: | ||
| PREPARATION FOR CALCULUS | ||
| CALCULUS I | ||
| Data Science Foundations | ||
| Additional hours required in core. | 4 | |
| UNIV 1131 | STUDENT SUCCESS | 1 |
| or UNIV-SC 1101 | CAREER PREPARATION AND STUDENT SUCCESS | |
| Select any course numbered 3300 or higher. | 3 | |
| Data Science Specialization | ||
| DATA 3401 | PYTHON FOR DATA SCIENCE 1 | 4 |
| DATA 3402 | PYTHON FOR DATA SCIENCE 2 | 4 |
| DATA 3311 | MATHEMATICS FOR DATA SCIENCE | 3 |
| 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 |
| DATA 4380 | DATA PROBLEMS | 3 |
| DATA 4381 | DATA CAPSTONE PROJECT 1 | 3 |
| DATA 4382 | DATA CAPSTONE PROJECT 2 | 3 |
| Biology Specialization | ||
| CHEM 1441 | GENERAL CHEMISTRY I | 4 |
| CHEM 1442 | GENERAL CHEMISTRY II | 4 |
| CHEM 2321 | ORGANIC CHEMISTRY I | 3 |
| CHEM 2181 | ORGANIC CHEMISTRY I LABORATORY | 1 |
| BIOL 3315 | GENETICS | 3 |
| BIOL 3340 | BIOINFORMATICS | 3 |
| Select 3 BIOL courses number 3300 or higher. | 9 | |
| Select 1 BIOL course numbered 3400 or higher. | 4 | |
| Select one BIOL course numbered 3300 or higher or DATA course numbered 2300 or higher. | 3 | |
| Total Hours | 120 | |
Suggested course sequence
Details of a personal course sequence should be made with the guidance of the Data Science undergraduate advisor, particularly since many courses are not offered every semester. For all entering freshmen, it is important to begin the mathematics sequence, starting with MATH 1421, Preparation for Calculus, in the first semester.
| First Year | |||
|---|---|---|---|
| Fall Semester | Hours | Spring Semester | Hours |
| UNIV 1131 or UNIV-SC 1101 | 1 | DATA 3401 | 4 |
| ENGL 1301 | 3 | DATA 3311 | 3 |
| BIOL 1441 | 4 | MATH 1426 | 4 |
| MATH 1421 | 4 | BIOL 1442 | 4 |
| Component Area Course (Suggested DATA 1301) | 3 | ||
| 15 | 15 | ||
| Second Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| DATA 3402 | 4 | DATA 3421 | 4 |
| BIOL 3315 | 3 | ELECTIVE (BIOL 33xx+) | 3 |
| ELECTIVE (33xx+) | 3 | ELECTIVE (BIOL 33xx+) | 3 |
| Approved Communication Core | 3 | ELECTIVE (BIOL 33xx+) | 3 |
| Approved Language, Philosophy, Culture Core | 3 | Approved Creative Arts Core | 3 |
| 16 | 16 | ||
| Third Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| DATA 3441 | 4 | DATA 3442 | 4 |
| DATA 3461 | 4 | DATA 4380 | 3 |
| CHEM 1441 | 4 | CHEM 1442 | 4 |
| HIST 1301 | 3 | HIST 1302 | 3 |
| 15 | 14 | ||
| Fourth Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| DATA 4381 | 3 | DATA 4382 | 3 |
| BIOL 3340 | 3 | ELECTIVE (BIOL 34xx+) | 4 |
| CHEM 2321 | 3 | ELECTIVE (BIOL 33xx+ or DATA 23xx+) | 3 |
| CHEM 2181 | 1 | Approved Social & Behavioral Core | 3 |
| POLS 2311 | 3 | POLS 2312 | 3 |
| 13 | 16 | ||
| Total Hours: 120 | |||
Advising Resources
Undergraduate and Graduate Advising
Location:
Life Science Building Room 206A and 206B
Email:
data.advising@uta.edu
Phone:
817-272-1512
Web:
Speak to an advisor in the Division of Data Science or schedule an appointment.