Interdisciplinary Computing is a dynamic program for students who want more than a traditional computer science degree. It allows you to combine a solid foundation in computing with another field you’re passionate about—such as science, environment, arts, or health. You’ll learn how to think critically, tackle complex real‑world problems, and design innovative solutions by connecting technology with your chosen discipline. If you’re excited about using computing to make an impact across fields, this program is designed with you in mind.
Program Highlights
You want to use data to improve patient outcomes but don't want to be a doctor.
You want to build tools that make the legal system more equitable.
You want to blend digital media and art with backend programming.
You want to fight climate change using the power of big data. You’re passionate about analyzing environmental trends, modeling sustainable urban planning, or building software to track and protect wildlife.
Focuses on establishing a strong base in algorithmic thinking with Python, mathematical reasoning, and an introduction to the core principles of interdisciplinary computing.
Dive into technical essentials including Data Structures, Software Development, Data Science, AI, and Discrete Structures. These courses serve as the engine for applying computing to any field.
This is where you specialize. Starting in your sophomore year, you will take a five-course sequence (Cognate I-V) in a secondary field, like Environment, Health, or Communications, to become an expert in that domain.
The "Crown Jewel" of the degree. During your junior and senior years, you will complete a three-part series of Cognate Computing Studios where you apply your technical skills to solve a real-world problem within your chosen specialization.
View degree details. Download Degree Map (PDF)
Smart Systems Specialist – Developing IoT and data-driven solutions for sustainable energy, wildlife tracking, and urban planning.
Digital Media Architect – Building the underlying platforms and tools for interactive storytelling, social networking, and global digital communication.
Ethics & Responsible AI Officer – Ensuring that predictive models used in public policy are fair, explainable, and legally defensible.
Have questions about Interdisciplinary Computing?
Contact Dr. Kamal at mkamal@tntech.edu to learn more!
