Bachelor of Science (B.S.) Major in Exercise and Sports Science/Master of Science (M.S.) Major in Athletic Training | Texas State University

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 25-1021.00

Skills

InstructingReading ComprehensionWritingSpeakingActive LearningLearning StrategiesCritical ThinkingActive Listening

Knowledge

Computers and ElectronicsEducation and TrainingEnglish LanguageCustomer and Personal ServiceMathematics

Abilities

Oral ComprehensionOral ExpressionWritten ComprehensionWritten ExpressionDeductive ReasoningInductive ReasoningSpeech ClarityInformation OrderingNear VisionProblem Sensitivity

Tasks

Prepare course materials, such as syllabi, homework assignments, and handouts.
Compile, administer, and grade examinations or assign this work to others.
Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, da

Technology

Web page creation and editing softwareGraphics or photo imaging softwareVideo creation and editing softwareComputer based training softwareData base user interface and query software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer projectorsConference telephonesDesktop computersDigital calculatorsDigital video disk DVD playersDigital video editorsHandheld microphonesHandheld videocamerasInteractive whiteboard controllersInteractive whiteboards

Work Values

AchievementIndependenceWorking ConditionsRecognitionRelationshipsSupport

Career Pathways

Occupations this program prepares you for

Auto-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: medium25-1021.00	Computer Science Teachers, Postsecondary	title_inference	—	—	—

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: proficient (Level 3)(based on Bachelor's Degree)

Comprehensive course materials including syllabi, project scaffolding, and assessment instruments — autonomously design and continuously refine for both undergraduate and graduate computer science programs.
Advanced lectures on specialized topics such as machine learning, systems architecture, or distributed computing — prepare and deliver with pedagogical sophistication to mixed undergraduate and graduate audiences.
Complex student work including research papers, capstone projects, and graduate theses — evaluate rigorously and provide substantive developmental feedback aligned with professional and scholarly standards.
Full examination cycles — independently compile, administer, statistically analyze, and use results to inform iterative improvements to course design in a postsecondary CS department.
Multiyear student academic records and longitudinal grade data — manage with precision, using institutional data systems to identify patterns and support student success interventions.
Curricula and course content across multiple CS courses — systematically evaluate and revise using evidence-based instructional strategies and alignment with accreditation standards such as ABET.
Structured advisement and mentorship — provide to undergraduate and graduate students navigating research pathways, internship opportunities, and career trajectories in computing fields.
Applied computing tools including object-oriented development environments, database interfaces, and video creation software — integrate purposefully into course delivery to model professional practice.
Non-routine pedagogical challenges such as diverse learner needs or rapidly evolving technology topics — diagnose and resolve using adaptive instructional strategies in a live university classroom.
Contributions to departmental scholarship — sustain through active participation in peer-reviewed publication, grant development, or applied research projects relevant to computer science education.

Course Pathway

66 courses in this program

166 courses