Bachelor of Science in Data Science (Psychology)
About This Program
In the Bachelor of Science in Data Science Psychology concentration, students study cognitive and behavioral data using statistical and computational methods. This track is well-suited for students interested in psychological research, human behavior analysis, mental health applications, human-computer interaction, and related areas. Beyond the UTA Core Curriculum requirements, the degree requires a sequence of courses in Mathematics, Data Science, and Psychology. 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 | ||
| For Social & Behavioral Sciences select: | ||
| INTRODUCTION TO PSYCHOLOGY | ||
| 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 |
| Psychology Specialization | ||
| PSYC 3200 | EXPERIENCING RESEARCH IN PSYCHOLOGY | 2 |
| PSYC 3300 | RESEARCH METHODS IN PSYCHOLOGY | 3 |
| PSYC 3315 | SOCIAL PSYCHOLOGY | 3 |
| PSYC 3322 | BRAIN AND BEHAVIOR | 3 |
| PSYC 3334 | COGNITIVE PROCESSES | 3 |
| PSYC 4281 | RESEARCH IN PSYCHOLOGY | 2 |
| Select one three-hour lecture course from each of the Groups I, II, and III; plus one three-hour course from either Group I, II, or III: | 12 | |
Group I | ||
| DEVELOPMENTAL PSYCHOLOGY | ||
| SOCIAL & PERSONALITY DEVELOPMENT | ||
| PSYCHOLOGY OF PERSONALITY | ||
| PSYCHOLOGY OF ADOLESCENCE | ||
Group II | ||
| ANALYSIS & MANAGEMENT OF BEHAVIOR | ||
| BEHAVIOR AND MOTIVATION | ||
| ANIMAL BEHAVIOR | ||
| EVOLUTIONARY PSYCHOLOGY | ||
| NEUROPHARMACOLOGY | ||
Group III | ||
| INTRODUCTION TO CLINICAL AND COUNSELING PSYCHOLOGY | ||
| ABNORMAL PSYCHOLOGY | ||
| THEORIES OF HUMAN LEARNING AND MEMORY | ||
| HEALTH PSYCHOLOGY | ||
| Select any PSYC Course numbered 3300 or higher | 3 | |
| Select any PSYC 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 | BIOL 1442 | 4 |
| BIOL 1441 | 4 | MATH 1426 | 4 |
| PSYC 1315 | 3 | DATA 3311 | 3 |
| MATH 1421 | 4 | DATA 3401 | 4 |
| Component Area Course (Suggested DATA 1301) | 3 | ||
| 15 | 15 | ||
| Second Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| ENGL 1301 | 3 | Approved Communication Core | 3 |
| PSYC 3300 | 3 | PSYC 3200 | 2 |
| PSYC 3315 | 3 | PSYC 3322 | 3 |
| DATA 3402 | 4 | PSYC 3334 | 3 |
| ELECTIVE (33xx+) | 3 | DATA 3421 | 4 |
| 16 | 15 | ||
| Third Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| HIST 1301 | 3 | Approved Language, Philosophy, Culture Core | 3 |
| ADVANCED COURSE GROUP 1 (PSYC 33xx+) | 3 | ADVANCED COURSE GROUP 3 (PSYC 33xx+) | 3 |
| DATA 3461 | 4 | ADVANCED COURSE GROUP 2 (PSYC 33xx+) | 3 |
| DATA 3441 | 4 | DATA 3442 | 4 |
| DATA 4380 | 3 | ||
| 14 | 16 | ||
| Fourth Year | |||
| Fall Semester | Hours | Spring Semester | Hours |
| Approved Creative Arts Core | 3 | HIST 1302 | 3 |
| POLS 2311 | 3 | POLS 2312 | 3 |
| Elective (PSYC 33xx+) | 3 | PSYC 4281 | 2 |
| ADVANCED COURSE GROUP 1, 2 or 3 (PSYC 33xx+) | 3 | ELECTIVE (PSYC 33xx+ or DATA 23xx+) | 3 |
| DATA 4381 | 3 | DATA 4382 | 3 |
| 15 | 14 | ||
| 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.