Data and Analytics Specialist Associate Degree

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Artificial Intelligence Data Specialist

Program Number: 101564

Your Degree: Associate Degree

Estimated Time to Complete: 61 Credits | Finish degree in 2 years

Delivery Method: Some Online/Some In Person

Area of Study: Information Technology

Estimated Program Cost: $11,117.07

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Program Overview
If you’re the kind of person who thinks the best way to make a decision is to see what the numbers say, you’ll find a home in Madison College’s Artificial Intelligence Data Specialist associate degree program.
With an Artificial Intelligence Data Specialist associate degree from Madison College, you will have practical, applicable skills in data engineering and analytics, leveraging artificial intelligence to accelerate development to find meaningful work in this rapidly growing specialty and thrive in most technical workplaces.
Whether you’re looking to start, advance or change your career, this program will give you the training to help you reach your goals. No advanced skills needed—just basic computer knowledge and a passion for learning.
Artificial Intelligence Data Specialist Program Goals
In the Artificial Intelligence Data Specialist program, you’ll learn to gather, manage, analyze and visualize data using advanced programming techniques, artificial intelligence assistants, and machine learning models. You’ll also develop the latest in data-related cloud-based skills, such as hosting databases.
What Skills Do I Need?
We’ll teach you the technical skills used in engineering data, but a successful Artificial Intelligence Data Specialist is also:
A Critical Thinker
You like puzzles and logic games in which you need to see how all the pieces fit together. Your mind works in Venn diagrams, pie charts and graphs. You don’t easily jump to conclusions, so you like to do research using observable facts.
Detail Oriented
AI-augmented data wrangling asks you to see both individual numbers and the big picture. Math doesn’t scare you, and you know the power a misplaced decimal point can have. Attention to detail and a patient disposition help students and professionals work smoothly and well.
“Instructors are very collaborative, getting people talking and visualizing. We're working with real numbers, knowing where the data comes in, how it stacks up and what it means. Some impressive and mind-boggling visualizations that have come out of it.”
Nicholas Z.
Program Student
Curious
The world of technology changes quickly. To stay on top of the latest advancements, be prepared to continue your education beyond the degree through professional advancement, online user groups and industry publications.
A Good Communicator
You’ll need to be able to communicate, verbally and in writing, in both technical and simple terms, how data interacts and what it has to say. Team meetings and collaboration are a regular part of the job, so people in this field must not only be good with computers but also with people.
The associate degree curriculum is designed to help you hone these skills.
Real-world, Hands-on Learning
Artificial Intelligence Data Specialist classes are held in Madison College’s state-of-the-art online lab environment to simulate the infrastructures various industries and tech companies actually use. That same lab is available to you 24/7 from any computer. All you need is an internet connection to do your work from anywhere.
Start coding and utilizing artificial intelligence to accelerate your learning on Day One.
Artificial Intelligence Data Specialist students get hands-on training to develop valuable skills sought by employers, including Python programming, relational database technologies and data-related cloud experience.
Core classes teach technical skills in the following:
First Year
You’ll learn the fundamentals of data systems.
Python programming accelerated by AI
Data design and programming
Cloud resource development and deployment
Second Year
Building on your first-year knowledge, you’ll now learn how to read the story data tells.
Machine learning
Applied artificial intelligence tools
Data visualization
Data-informed decisions
Analyze and communicate real-world findings
Final Semester Internship
In addition to coursework, you will complete an internship with one of our industry partners. If you are already working full-time, you will have the option of a project. With this real-world opportunity, upon graduation you will have not only the knowledge but also the experience to enter the workforce with the confidence that employers notice.
Flexible Course Offerings
Students in the Artificial Intelligence Data Specialist program can attend full or part time.
The core classes unique to the Artificial Intelligence Data Specialist program are offered only in person and during the day.
These classes are offered at our Madison Truax campus.
If you start this program in the spring semester, it may take 5 semesters to complete and classes are only offered in the daytime.
Program Courses

Here's a sample course sequence that shows how classes for full-time students are typically organized by semester.
Once you're admitted, your full curriculum and sequence—including any pre-requisites—is defined in your Degree Progress Report.
First Semester
10-106-109
Business Spreadsheet Applications
Create professional, data-driven workbooks using Microsoft Excel. Develop skills with formulas, functions, worksheet formatting, charts, tables, conditional formatting, multiple worksheets and workbooks, templates, data validation, worksheet protection, and macros. Import and cleanse data, perform what-if analysis using Scenario Manager, Data Tables, and Solver, and complete loan amortization, investment analysis, and asset depreciation calculations.
3 credits
10-107-111
Exploration of Information Technology
Learn about the different careers available in the vast field of Information Technology and examines the IT-Cloud DevOps Specialist, IT-Cyber Compliance Specialist, IT-Cybersecurity Specialist, IT-Data & Analytics Specialist, IT-Desktop Support Technician, IT-GenAI Front-End Developer, IT-Network Systems Administration, and IT-Web Software Developer career paths. Students create an individualized career path plan as the capstone project for the course.
1 credit
10-151-102
IT Security Awareness
Provides a basic survey of the importance of IT security awareness and data confidentiality. This course walks users through basic aspects of information security in a very broad, easy to understand way and explains the value of securing data. The course will also present best practices in access control and password policies. NOTE: Working knowledge of Microsoft Windows (computer literacy, proficiency with a mouse, file management) required.
1 credit
10-152-211
Python for Developers
Teaches programming fundamentals using the Python language. The building blocks of a program, including variables, iteration and conditional statements, are introduced through the lens of how data is structured. Functions, modules and classes allow students to develop increasingly complex solutions to data-focused problems.
3 credits
10-156-105
AI Fundamentals
Provides a basic survey of the importance of AI in the IT industry. This course will discuss broad aspects of AI including types, code generation, and how to validate the results from AI. The course will also present best practices for appropriate and responsible use of AI.
1 credit
10-156-124
Introduction to Databases
Introduces the student to relational database concepts using the Microsoft Access and MySQL database environments. Students then study concepts that lead to good relational database design including an introduction to normalization. Basic SQL statements are practiced also. Students are required to have a working knowledge of Microsoft Windows operating system (computer literacy, proficiency with a mouse, file explorer, and file management).
3 credits
10-804-144
Math of Finance
This course takes an algebraic approach to solving financial problems. Topics include personal finance and retirement, mathematics of retailing, mathematics of banking and lending, and statistical applications. Major emphasis is placed on solving problems involving the time value of money by using a financial calculator. The material in this course develops a sound base for subsequent courses by using an analytical approach to problem solving.
3 credits
Second Semester
10-152-110
Cloud for Developers
In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications. Explore how to interact with AWS using code and also learn about key concepts, best practices, and troubleshooting tips.
3 credits
10-156-125
SQL Database Programming
Presents relational database concepts and teaches beginning to intermediate Structured Query Language (SQL) using MySQL. Students learn to create and maintain database objects and to store, retrieve, and manipulate data. Demonstrations, hands-on practice and authentic projects reinforce the fundamental concepts.
3 credits
10-156-133
Data Visualization
Data visualization is figuratively and quite literally the tip, or visible part, of the iceberg. Take this class to get experience creating data visualizations along with the data wrangling and preparation skills required for all good data visualizations. The class is taught with Power BI, but the skills and techniques covered are pertinent when working with any data-viz tool.
3 credits
10-156-135
Data Engineering
Builds on the students' Python programming base with a focus on data engineering tasks. Teaches Python data structures and relevant packages, including numpy and pandas.
3 credits
10-801-195
Written Communication
Develops workplace writing skills which include prewriting, drafting, revising, and editing. A variety of writing assignments are designed to help the learner analyze audience and purpose, research and organize ideas, and format and design documents based on workplace subject matter and content.
3 credits
Third Semester
10-107-175
Job Search Preparation
Introduction to planning and organizing a search for careers in information technology. Activities include the development of a personalized job search plan, resume building, creating a social media presence and a mock interview.
1 credit
10-156-127
Modern Data Topics
This course examines current developments in data management, analytics, and governance. Emphasis is placed on contemporary tools, practices, and emerging issues in the modern data landscape.
3 credits
10-156-144
Machine Learning
Advances knowledge by working with real-world data sets and the problems they bring, such as missing data, mismatched formats and ambiguity. Learn several machine learning algorithms such as logistic regression and Random Forest, the trade-offs of bias and variance and how to find the best solution through cross validation, sensitivity and specificity. Using algorithms properly, learn to distinguish between them and how to analyze and prepare the data for their usage, beyond data engineering.
3 credits
10-801-196
Oral/Interpersonal Communication
Focuses on developing effective listening techniques and verbal and nonverbal communication skills through oral presentation, group activity, and other projects. The study of self, conflict, and cultural contexts will be explored, as well as their impact on communication.
3 credits
Select one of the following Social Science courses:
10-809-103
Think Critically & Creatively
Provides instruction about critical and creative thinking that is in high demand in all occupations. Models, theories, and processes provide the foundation for learning logical thinking strategies. Students will apply a systematic approach to problem solving by analyzing the problem, assessing possible solutions, and making effective decisions. In addition, students will generate ideas and analyze complex issues. This course assists students with developing a critical thinking mindset which is essential at every level of personal and professional life.
3 credits
10-809-166
Introduction to Ethics: Theory and Application
This course provides a basic understanding of the theoretical foundations of ethical thought. Diverse ethical perspectives will be used to analyze and compare relevant issues. Students will critically evaluate individual, social and/or professional standards of behavior, and apply a systematic decision-making process to these situations.
3 credits
Elective
3 credits
Fourth Semester
10-152-131
Agile Practices
This course teaches students the basics of Agile software development. Students learn how to communicate, plan, estimate, and track software projects as well as how to participate in various roles on software development teams. Students are also exposed to popular software architectures, cloud basics, and formal Scrum/Kanban principles.
3 credits
10-156-145
Applied Analytics in the Cloud
This class brings together all the skills in the student's toolbox by creating a solution to a real world problem over the course of a semester. They will bring together data stored in a variety of formats and locations -- including the cloud, cleanse it, analyze it, visualize it and communicate their findings.
3 credits
10-156-196
Data Analytics Internship
An on-the-job experience in Madison area businesses applying data analytics. Students will seek internship opportunities and interview to be selected for internships. The student spends approximately 216 hours over the course of the semester at the internship site. By consent of instructor, a special project may be substituted for the internship.
3 credits
10-809-199
Psychology of Human Relations
This course explores the relationship between general psychological principles and our everyday lives. Students are given the opportunity to achieve a deepened sense of awareness of themselves and others. This understanding is applied to human relations at home and on the job.
3 credits
Elective
3 credits
Recommended Electives
10-102-104
Business Statistics
Introduces the theory of, and application to basic statistical methods. Emphasizes solving practical business problems. Topics include basic measures, probability, sampling, and time series analysis. Knowledge of Excel is strongly recommended.
3 credits
10-152-120
Website Development
Introduces HTML, CSS, and essential web development techniques. Learn to create well-structured HTML documents and apply CSS styling to enhance the visual appearance of web pages. Through hands-on exercises, develop proficiency in building and styling web content, including text formatting, image integration, and form design. Emphasis is placed on debugging techniques and adherence to web accessibility standards to ensure the creation of accessible and standards-compliant websites. By the end of the course, students will have the skills to create web pages while adhering to industry best practices. Prerequisite: working knowledge of Microsoft Windows (computer literacy, proficiency with a mouse, File Explorer, and file/folder management), good reading and problem-solving skills.
3 credits
10-152-168
Advanced Javascript
Students will build dynamic, full-stack web applications. Students will explore core concepts like functions, event handling, and DOM searching, then use AJAX and the XMLHttpRequest object to fetch and display data without reloading the page. Modern JavaScript features are introduced, including functional programming (map, reduce, filter), object-oriented programming, and asynchronous programming with Promises, the Fetch API, and async/await. Learners will also build simple back-end applications using Node.js and Express and get an introduction to serverless functions with AWS Lambda or similar platforms.
3 credits
10-152-200
Foundations of Software Quality
Learn to understand, verify, and validate the quality of software systems through the analysis and application of modern quantified techniques. Students will understand the terms and concepts which describe the fundamentals of quality assurance. Verification of software quality is addressed by exploring secure software development practices and test strategies including static, exploratory, and dynamic techniques. Validation of software quality is addressed by analyzing risk, coverage, and vulnerabilities. Validation is further refined through the critical analysis of intended vs. actual results and through understanding the contexts and perspectives of end-users.
3 credits
How to Apply
Earning a degree is a great way to advance your career development opportunities, so apply today!
If you are an international student and want to apply to Madison College, or transfer your F-1 student visa here, check program availability and then complete the International Admission Process.
Apply Now – Secure Your Spot!
This program has a limited number of seats available. We encourage early applications to secure your spot, but the program has not historically reached full capacity.
Application Dates
Fall 2026
Application open
Application completion deadline is August 31, 2026
Spring 2027
Application open
Application completion deadline is January 15, 2027
Fall 2027
Application available on October 15, 2026
Application completion deadline is August 31, 2027
Admission Requirements
All materials must be submitted by the application deadline.
1. Admission Application
The online application allows you to save your work as you complete it and ensures fast, secure delivery to our office.
2. Education Completion
Submit official transcripts from the institutions you attended that indicate one of the following:
High school completion (current high school seniors may submit an in-progress transcript)
GED/HSED completion
College transcript or Madison College experience showing:
Completion of an associate degree or higher, or
At least 30 credits completed with a minimum GPA of 2.0 on a 4-point scale
The credits must be completed at a single college and cannot be combined with other transcripts
Any transfer credit listed on a transcript does not count toward the 30-credit minimum
Credits completed at Madison College are evaluated and do not require a transcript
All high school and/or college transcripts are recommended to be submitted for Credit for Prior Learning evaluation.
Additional Notes
Individual courses may have prerequisites to enroll. Admission into a program or waiting list does not guarantee eligibility to enroll in courses. See the Curriculum section for the list of courses for the program.
Questions?
Contact the Enrollment Center at enrollmentservices@madisoncollege.edu or 608.246.6210.
Get Started!
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Career Outcomes
Artificial Intelligence Data Specialist Associate Degree Program Outcomes
Graduates of this program are prepared to:
Prepare data for more extensive analysis through data engineering (ETL) by writing moderately complex Python scripts.
Discover and quantify trends in data by using industry-standard tools or writing moderately complex Python scripts.
Solve common analytics tasks through machine learning.
Recommend basic business solutions through a complete understanding of the data analytics life cycle.
Communicate status and findings through professional charts and dashboards.
Manage and store data based on usage (e.g., data lakes, relational, warehouse), both in the cloud and on-premises.
Migrate data between data stores using Python scripts and industry-standard tools, both in the cloud and on-premises.
Artificial Intelligence Data Specialist Careers
Madison College Artificial Intelligence Data Specialist graduates are prepared to apply for employment as a Data Analyst, Data Wrangler or Data Engineer.