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Credential Information

The Data Analytics & Visualization credential equips learners with the foundational knowledge and practical skills needed to effectively analyze, interpret, and communicate data through impactful visualizations. This credential combines data analytics, statistical methods, and design principles, preparing you to transform complex data into clear, compelling visual stories across various industries.

Through four carefully curated courses, students will explore the theory and history of data visualization, develop proficiency in data analysis and statistical methods, and be exposed to industry-standard tools and software like Excel, Tableau, R, and Adobe Illustrator. The program emphasizes the creation of ethical and accessible visualizations that not only communicate information clearly but also resonate with audiences of all people and perspectives.

Flexible, Engaging Online Learning

Complete your M.P.S. in Data and Visualization in just 15 months with an accelerated, 100% online format. With no set class times, you learn when and where it works for you. Throughout the program, you’ll collaborate with peers and faculty, enabling you to succeed in the online learning environment.

Empower Your Creative Potential

At MICA, you belong to a welcoming and supportive community that fuels innovation and professional growth. Our M.P.S. programs equip creatives with the skills, connections, and resources needed to thrive in evolving industries. Industry-leading faculty provide ongoing support through office hours and constructive feedback, ensuring you stay engaged throughout the program.

Application of Industry-leading Tools & Methodologies 

Learn and apply the latest software tools, best practices, and innovative methodologies in data analytics and visualization. Build both the practical skills and confidence as you apply the program to your current role and future career.   

Apply Data-Driven Insights from Day One

Learn by doing and engaging in hands-on coursework, case studies, and real-world projects designed to help you immediately apply data visualization and storytelling techniques in your current work. Engaging multimedia course content enhances your learning experience, making it easier to grasp concepts and apply them effectively.

Career-Focused Curriculum and Support

Access our comprehensive career development services, develop powerful career advancement strategies, benefit from optional professional skills-based workshops, and learn from professionals with hands-on experience to ensure you advance in your UX career.

Build your Portfolio While Earning Your Degree

Throughout the program, you’ll create a professional portfolio, culminating in a final capstone project. Applying data visualization techniques to real-world projects builds in-demand skills and prepares you for future career goals. 

Course Sequence

In almost every industry or sector, data is the foundation of sound decisions. But one must know how to analyze and communicate the data to utilize it. These courses teach the skills, best practices, and software tools needed to analyze and communicate data effectively. They show how to influence actions, strategies, and solutions through data storytelling.

The Data Analytics & Visualization credential consists of four comprehensive courses:

Session
Course
Credits
Orientation
Virtual Orientation

To ensure student success in the program, students will complete an asynchronous orientation course in Canvas as a means to introduce them to the navigation of MICA’s administrative tools as well as inform them of academic services available through MICA. The content and assignments in the orientation course are designed to be an introduction to the program as well as a resource throughout the students’ time at MICA.

0
Session 1
Foundations of Data Analytics & Visualization Literacy

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present

We live in a world surrounded by ever-increasing amounts of information in the form of data. Converting this raw data into a visual form that communicates effectively involves data analytics and advanced information visualization literacy. You will study the way visualization has been used historically and is being used today in various industries to tell compelling narratives. You will explore perspectives and research from the fields of art/design history, theory, and visual culture.
3
Session 1
Understanding Data

Core Skills: Excel, Tableau, R, Descriptive statistics, Data cleaning, Data visualization in R

Core Skills: 

This course will teach you the methods for gathering, organizing, preparing, and analyzing information and data central to visualization and telling your story. Giving you the means to communicate your big ideas, you will explore tools and software applications that establish descriptive statistical relationships. You will also develop foundational skills needed to transform research into compelling visualizations.
4
Session 2
Data Exploration

Core Skills: R and RMarkdown, Perform more complex data manipulations required to generate visualizations.

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present
The course provides an overview of probability and statistics concepts commonly used in the visualization process. You will learn to apply concepts such as statistical measures, correlation, and regression to data sets. You will continue to use and gain proficiency in tools and softwares introduced in Statistics and Analysis and explore additional methods for data analysis that apply to real-world challenges.
4
Session 2
Designing Visual Information

Core Skills: Adobe Illustrator, Gestalt laws & Universal principles of design

Core Skills: Exploring types of visualizations, contextualizing data visualization in the past and present

This course teaches you how to create impactful information visualizations that will produce results. You will be introduced to the best practices in organizing space, using type and color based on well established guidance.

3
Total Credit Hours
14
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