AI Data Specialist
AI Data Specialist Associate of Applied Science Degree
Program Code: 10-156-4
For more information: wctc.edu/ai-spec
Develop the data and programming skills necessary to acquire, analyze and prepare data for use in machine learning algorithms. Create models for predictive analytics, image recognition/computer vision and natural language processing, evaluate results and implement the models in a production environment. Navigate ethical concerns as they relate to AI.
The minimum required course grades and program grade point average (GPA) for students under this catalog are:
Core Courses = C
General Studies Courses = C
Program GPA = 2.0
Related Certificates that can be earned along the way.
Program Outcomes
- Communicate with stakeholders.
- Acquire data from a variety of common data sources.
- Transform data to meet business and technical needs.
- Evaluate machine learning models.
- Implement AI solutions.
- Examine the various applications of AI in industry.
- Navigate the ethical implications of various types of AI solutions.
Critical Life Skills
To help our students prepare for success in a workplace and society that is increasingly global, multicultural and collaborative, we provide curricular and co-curricular opportunities to develop critical life skills. WCTC is committed to teaching all students the following skills:
- Communication: Demonstrate appropriate communication.
- Critical Thinking/Problem Solving: Demonstrate critical thinking skills to analyze situations and solve problems.
- Relationships: Demonstrate effective interpersonal skills.
- Self-management: Demonstrate responsible and respectful behavior.
Listed below are the required courses for this program. An Academic Advisor can help you develop your program plan and select the term and course schedule that works best for you.
| Code | Title | Credits |
|---|---|---|
| Core Courses: | ||
| 605-133 | Intro to Operational Tech | 2 |
| 156-119 | Data Concepts | 2 |
| Approved Substitutes: 156-108 | ||
| 152-150 | Intro to Prog in Python | 2 |
| Approved Substitute: 152-101 | ||
| 156-113 | Python Data Manipulation | 2 |
| 156-114 | Business Applications of AI | 3 |
| 156-110 | Data Visualization | 2 |
| 150-190 | Network Fundamentals | 2 |
| Approved Substitutes: 150-117 OR 150-175 OR 150-178 | ||
| 156-112 | Predictive Analytics | 2 |
| Approved Substitute: 156-105 | ||
| 156-107 | Data Modeling | 2 |
| Approved Substitute: 107-119 | ||
| 156-109 | Intro to SQL | 2 |
| 156-102 | Advanced SQL | 3 |
| 664-158 | Operational Tech Applications | 2 |
| 156-116 | Natural Language Processing | 2 |
| 664-150 | Industrial Data Acquisition | 3 |
| 156-115 | Computer Vision | 2 |
| 890-108 | Employment Success | 1 |
| 156-118 | AI/Data Capstone | 4 |
| 156-117 | Big Data Engineering | 3 |
| 156-111 | Intro to Data Analytics | 2 |
| 107-123 | Internship IT | 2 |
| General Studies: | ||
| 804-133 | Mathematics and Logic | 3 |
| 804-189 | Introductory Statistics | 3 |
| 801-136 | English Composition I | 3 |
Approved Substitute: 801-223 | ||
| 801-197 | Technical Reporting | 3 |
Approved Substitute: 801-243 | ||
| 809-143 | Microeconomics | 3 |
| 809-198 | Intro to Psychology | 3 |
Approved Substitute: 809-199 | ||
| Total Credits | 63 | |