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
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 the program. To view the recommended sequence for taking courses click on the plan of study tab(s) above. Work with your Academic Advisor to design a program plan!
View your Program Matrix to find out when each course will be offered (term and time of day).
Code | Title | Credits |
---|---|---|
Core Courses: | ||
107-137 | Internship - IT | 1 |
150-190 | Network Fundamentals | 2 |
152-101 | Python Programming | 1 |
156-102 | Advanced SQL | 3 |
156-107 | Data Modeling | 2 |
156-108 | Intro to Databases & Reporting | 1 |
156-109 | Intro to SQL | 2 |
156-110 | Data Visualization & Reporting | 2 |
156-111 | Intro to Data Analytics | 2 |
156-112 | Predictive Analytics | 2 |
156-113 | Python Data Manipulation | 2 |
156-114 | Business Applications of AI | 3 |
156-115 | Computer Vision | 2 |
156-116 | Natural Language Processing | 2 |
156-117 | Big Data Engineering | 3 |
156-118 | AI Capstone | 4 |
664-150 | Industrial Data Acquisition | 3 |
664-158 | Operational Tech Applications | 2 |
605-133 | Intro to Operational Tech | 2 |
General Studies: | ||
801-136 | English Composition 1 | 3 |
Approved Substitute: 801-223 | ||
801-197 | Technical Reporting | 3 |
804-133 | Math & Logic | 3 |
Approved Substitute: 804-118 | ||
804-189 | Introductory Statistics | 3 |
809-143 | Microeconomics | 3 |
809-198 | Intro to Psychology | 3 |
Approved Substitute: 809-199 | ||
890-108 | Employment Success | 1 |
Total Credits | 60 |
First Year | ||
---|---|---|
Fall Term 1 | Credits | |
156-108 | Intro to Databases & Reporting | 1 |
605-133 | Intro to Operational Tech | 2 |
804-133 | Math & Logic | 3 |
Credits | 6 | |
Fall Term 2 | ||
156-109 | Intro to SQL | 2 |
156-114 | Business Applications of AI | 3 |
156-107 | Data Modeling | 2 |
Credits | 7 | |
Spring Term 1 | ||
156-102 | Advanced SQL This course runs 16 weeks. | 3 |
156-110 | Data Visualization & Reporting | 2 |
152-101 | Python Programming | 1 |
801-136 | English Composition 1 | 3 |
Credits | 9 | |
Spring Term 2 | ||
150-190 | Network Fundamentals | 2 |
156-113 | Python Data Manipulation | 2 |
Credits | 4 | |
Summer Term | ||
804-189 | Introductory Statistics | 3 |
809-198 | Intro to Psychology | 3 |
Credits | 6 | |
Second Year | ||
Fall Term 1 | ||
156-111 | Intro to Data Analytics | 2 |
664-158 | Operational Tech Applications | 2 |
801-197 | Technical Reporting | 3 |
Credits | 7 | |
Fall Term 2 | ||
156-112 | Predictive Analytics | 2 |
156-115 | Computer Vision | 2 |
664-150 | Industrial Data Acquisition | 3 |
Credits | 7 | |
Winter Interim | ||
890-108 | Employment Success | 1 |
Credits | 1 | |
Spring Term 1 | ||
156-117 | Big Data Engineering This course runs 16 weeks. | 3 |
156-118 | AI Capstone | 4 |
809-143 | Microeconomics | 3 |
Credits | 10 | |
Spring Term 2 | ||
156-116 | Natural Language Processing | 2 |
Credits | 2 | |
Summer Term | ||
107-137 | Internship - IT | 1 |
Credits | 1 | |
Total Credits | 60 |