Master of Science (M.S.) Major in Computer Science (Non-thesis Science Minor Option) | 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: advanced (Level 4)(based on Master's Degree)

Departmental curriculum strategy and long-range academic program direction — set and lead in alignment with institutional mission, accreditation requirements, and emerging workforce needs in computing.
Faculty professional development initiatives in pedagogy and discipline currency — design and facilitate to elevate instructional quality across the full computer science teaching team.
Cross-disciplinary and interdepartmental curriculum collaborations — lead with colleagues in engineering, mathematics, and information systems to build integrated academic pathways for students.
Institutional policies governing academic standards, assessment practices, and program review — shape and advocate for at the college or university governance level as a senior faculty voice.
Grant proposals and externally funded research programs in computer science or CS education — originate, lead, and manage, directing junior faculty and graduate researchers toward scholarly impact.
Mentorship ecosystems for early-career faculty and doctoral teaching assistants — establish and sustain, modeling expert instructional practice and scholarly integrity across the department.
Accreditation self-study processes and program outcome assessments — lead comprehensively, synthesizing evidence of student learning to satisfy national accrediting body standards.
Emerging instructional technologies and pedagogical innovations — evaluate at an organizational scale and champion adoption strategies that transform learning experiences across multiple CS courses and cohorts.
Departmental and college-level resource allocation decisions affecting staffing, laboratory infrastructure, and technology procurement — inform and influence with deep expertise in computational education needs.
National and international professional communities in computer science and higher education — represent the institution through keynote presentations, editorial board service, and leadership in professional organizations.

Course Pathway

28 courses in this program

Program Requirements

Courses required to complete this program

CS 5306Advanced Operating Systems

3 cr

CS 5310Network and Communication Systems

3 cr

CS 5332Data Base Theory and Design

3 cr

CS 5318Principles of Programming Languages

3 cr

CS 5338Formal Languages

3 cr

CS 5351Parallel Processing

3 cr

CS 5329Algorithm Design and Analysis

3 cr

CS 5346Advanced Artificial Intelligence

3 cr

CS 5391Survey of Software Engineering

3 cr

CS 5316Data Mining

3 cr

CS 5326Advanced Studies in Human Factors of Computer Science

3 cr

CS 5331Crafting Compilers

3 cr

CS 5334Advanced Internet Information Processing

3 cr

CS 5341Advanced Network Programming

3 cr

CS 5343Wireless Communications and Networks

3 cr

CS 5352Distributed Computing

3 cr

CS 5375Multimedia Computing

3 cr

CS 5378Advanced Computer Security

3 cr

CS 5388Advanced Computer Graphics

3 cr

CS 5389Graphical User Interfaces

3 cr

CS 5392Formal Methods in Software Engineering

3 cr

CS 5393Software Quality

3 cr

CS 5394Advanced Software Engineering Project

3 cr

CS 5395Independent Study in Advanced Computer Science

3 cr

ENG 3311Practices in Writing and Rhetoric

3 cr

ENG 3303Technical Writing

3 cr

CS 5301Programming Practicum

3 cr

CS 3339Computer Architecture

3 cr

Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.