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  1. Programs
  2. App Development with Swift - Data Collections

App Development with Swift - Data Collections

National Coalition of Certification Centers (NC3)

Certification

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

Earning the App Development with Swift Data Collections certification demonstrates the ability to transform creative ideas into functional applications. Participants progress through industry-standard APIs that professional developers rely on daily.

Format

Hybrid

Eligibility Calculator

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

Earning the App Development with Swift Data Collections certification demonstrates the ability to transform creative ideas into functional applications. This comprehensive training program empowers learners to become skilled app developers using Swift, Apple's programming language. Participants begin with essential Swift programming fundamentals and iOS development principles, then progress through industry-standard APIs that professional developers rely on daily. Topics include Swift Language Usage (protocols, closures, extensions, generics, JSON decoding, data persistence with Codable), Debugging (concurrency, HTTP and URL Sessions, app lifecycle), Planning and Design (Model View Controller, UI component selection, animation design, layout planning, user experience), View Building with SwiftUI (View positioning and layout, multi-view implementation and navigation, List View iteration, view structure simplification, data sharing with @State, @Binding, @Environment, Observable), and Xcode Project Navigation (file organization, Interface Builder, view controller management, project configuration).

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

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Locations

Where this program is offered

No locations specified.

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

  • Adopt and define protocols
  • Implement delegate pattern
  • Define and use closures
  • Add extensions
  • Apply Swift generics
  • Decode JSON
Career Pathways

Occupations this program prepares you for

  • Computer Science Teachers, Postsecondary25-1021.00
  • Software Developers15-1252.00
  • Web Developers15-1254.00
  • Computer Occupations, All Other15-1299.00
  • Data Scientists15-2051.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certification)

  • 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

Completion Rate
Not reported
Placement Rate
Not reported