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  1. Programs
  3. Computer Science

Computer Science

SUNY College of Technology at Alfred

Associate's DegreeAcademic

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

The primary focus of the computer science program is transfer. The AS degree granted is specifically designed to maximize transfer credit to four-year programs.

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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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.

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Locations

Where this program is offered

  • New York

    New York

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from 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-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium25-1021.00Computer Science Teachers, Postsecondarytitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Associate's Degree)

  • Course syllabi, assignment sequences, and handouts — independently design and revise for undergraduate and introductory graduate computer science courses aligned with learning outcomes.
  • Lectures on intermediate topics such as algorithms, software engineering, and database systems — prepare and deliver with minimal oversight to undergraduate cohorts in a university setting.
  • Student class work, laboratory submissions, and written papers — evaluate using self-developed rubrics that reflect current disciplinary standards in computer science.
  • Examinations covering multiple course modules — compile, administer, and grade independently, ensuring alignment with stated course objectives and institutional academic integrity policies.
  • Grade books, attendance logs, and required departmental records — maintain consistently and submit on schedule through institutional administrative systems.
  • Professional conferences and peer-reviewed journals — engage with regularly to incorporate emerging computing technologies and pedagogical methods into course delivery.
  • Office hours and advising appointments — conduct on a scheduled basis, offering substantive guidance on academic progress and project development to undergraduate students.
  • Computer-based training software and development environment tools — integrate into laboratory instruction to provide students with authentic coding and debugging experiences.
  • Instructional methods and course pacing — adapt in response to formative assessment data and observed student performance trends across a semester.
  • Collaborative course planning discussions — contribute constructively with departmental colleagues to align course sequencing and prerequisite structures within the CS curriculum.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
33%
Placement Rate
55%