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Micro-credentials are digital badges that contain data regarding skills, competencies and strengths within a field of study, or through a course stream comprised of existing Allegheny courses. Micro-credential badges are used on hiring and application portals to help job and graduate school applicants rise through the algorithmically-parsed applicant pool by meaningfully tying skills, competencies and strengths gained while studying at Allegheny to needs designated as important to organizations.
A Micro-credential is defined by at least 12 credits that, taken together, develop a set of well-defined skills, competencies and strengths. Courses used to fulfill a Micro-credential must be completed with a C or better. Up to one transfer course may be used to fulfill the requirements for any given Micro-credential.
Micro-credentials are issued twice per year, typically falling on the first business day after February 1st for micro-credentials earned in the fall semester, and June 1st for micro-credentials earned in the spring semester.
Content Creation
Content Creation will develop students’ skills in producing images, video, and sound-based content and instructing them on effective deployment through web development and/or contemporary marketing practices.
| Content Creation Requirements (12 credits) |
| Take all of the following: |
| ART 171 , Photography I |
| ART 187 , Electronic & Intermedia Art |
| CMPSC 302 , Web Design* |
Learning Outcomes
Skills, competencies, and strengths gained:
- Demonstrate camera use fundamentals,
- Develop production, sound editing, web development and design tool fundamentals
- Identify contemporary marketing practices
Software Development
Software Development introduces the knowledge and skills that students need to engineer, release, and maintain software implemented in the Python programming language. Students who complete this micro-credential will have the demonstrated ability to make high-quality contributions to both the source code and technical documentation in software projects stored in GitHub repositories.
| Software Develoopment Requirements (12 credits) |
| Both of the following (8 credits): |
| CMPSC 100 , Computational Expression |
| CMPSC 101 , Data Structures |
| And one of the following (4 credits): |
| CMPSC 201 , Programming Languages |
| CMPSC 203 , Software Engineering |
Learning Outcomes
Skills, competencies, and strengths gained:
- Use the object-oriented programming paradigm
- Perform automated software testing
- Setup continuous integration and delivery of software
- Create technical documentation
- Release and maintain software
Programming with Web Technologies
Programming with Web Technologies teaches students how to develop accessible, aesthetically pleasing, and well-organized websites and web applications. In addition to attaining the knowledge and skills needed to benchmark, maintain, and enhance websites, students who complete this micro-credential will be able to design the user experiences and interfaces for compelling and dynamic web projects.
| Programming with Web Technologies (12 credits) |
| Take the following (4 credits): |
| CMPSC 302 , Web Design* |
| And any two of the following (8 credits): |
| CMPSC 100 , Computational Expression |
| CMPSC 101 , Data Structures |
| CMPSC 102 , Discrete Structures |
Learning Outcomes
Skills, competencies, and strengths gained:
- Structure web content using semantic and accessible HTML and CSS
- Develop web applications
- Perform automated testing of web content
- Deploy interactive web applications
- Use static site generators
Data Analysis
Data Analysis introduces the knowledge and skills that students need to effectively make decisions using varied data sources. Students who complete this micro-credential will have the ability to use the Python and R programming languages to create data visualizations, perform statistical analyses, and train machine learning models that yield actionable insights and support decision-making.
| Data Analysis Requirements (12 credits) |
| Take the following (4 credits): |
| CMPSC 301 , Data Science |
| And any two of the following (8 credits): |
| CMPSC 100 , Computational Expression |
| CMPSC 101 , Data Structures |
| CMPSC 102 , Discrete Structures |
Learning Outcomes
Skills, competencies, and strengths gained:
- Perform exploratory data analysis and visualization
- Train, validate, and apply machine learning models
- Automatically model and mine text documents
- Deploy visual data analytics dashboards
- Use commercial data analysis platforms
*Additional prerequisite not in micro-credential requirements.
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