Program Webinar on March 13 | Register here.
Accredited degree
Offered by Ball State University
No application required
Degree admission is entirely performance-based
$489 per credit
Benefit from affordable tuition and flexible payment options
24 months
33 credits of graduate coursework
Academics
Earn your Master’s in Data Science even if you do not have a data science or programming background.
This is a 33-credit, non-thesis program with 15 credits of core courses and 18 credits to focus your learning experience. Through the core courses, you’ll establish your understanding of statistical methods and programming. Then you’ll choose two courses in computational analytics and two courses in statistical computing and modeling to further round out your education. Finally, in your two elective courses, you’ll develop specialized knowledge and skills so you can stand out to employers as you pursue a career in the field.
Cutting-edge online learning with a personal focus
Ball State is at the forefront of quality and innovation when it comes to online education. Their professors dive right into new technologies and approaches to learning that will benefit you. Ball State focuses on the student experience, placing importance on personal attention from faculty and immersive studies.
Flexibility
Program length
Learn on mobile
Admissions Information
Enrollment for Summer 2025 is now open!
- Enrollment opens: Jan 15, 2025
- Classes begin: May 12, 2025
- Enrollment closes: May 18, 2025
Upcoming Events
March 13: Ball State University Online Master’s in Data Science Webinar - Register here
Admissions Information
Enrollment for Summer 2025 is now open!
- Enrollment opens: Jan 15, 2025
- Classes begin: May 12, 2025
- Enrollment closes: May 18, 2025
Upcoming Events
March 13: Ball State University Online Master’s in Data Science Webinar - Register here
![[Featured image] A white hat hacker works on a computer in an office.](https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://images.ctfassets.net/wp1lcwdav1p1/2GXe4YnMjlTjS7TvIXE9f0/7ad0371dc59b86cf4db88f87612e0f3b/GettyImages-1450969748__1_.jpg?auto=format%2Ccompress&dpr=1&w=6000&h=2720&q=40)
Degree Structure
Required Courses (8 units): Each concentration will have a defined set of 8 required courses, allowing you to go deep into your desired areas of study.
Elective Courses (14 units): Fill in the rest of your course of study with 14 electives from across the curriculum, allowing you to broaden your engineering education and prepare yourself for modern engineering challenges.
Capstone Project (2 units): Your final course in the master’s program will be MAS-E's unique, interdisciplinary capstone project. You will create a powerful example of your expert skill set, experience, and technical understanding that you can showcase when applying for engineering roles.
Curriculum
Required Courses:
- Techniques for Electronic Devices Fabrication
- Human Centered Design Methods I
- Electronic Properties of Materials
- Introduction to Structural Materials
- Development of Modern Materials for the Microelectronics Industry
- Optimization of engineering systems
- Quantum physics for semiconductor engineers
- Development of Modern Materials for the Microelectronics Industry
Required Courses:
- Techniques for Electronic Devices Fabrication
- Human Centered Design Methods I
- An Introduction to Continuum Mechanics and Modern Applications
- Introduction to Structural Materials
- Manufacturing in a Climate Emergency
- Development of Modern Materials for the Microelectronics Industry
- Quantum physics for semiconductor engineers
- Development of Modern Materials for the Microelectronics Industry
Required Courses:
- Principles of Modern Ocean Engineering
- Engineering a Net-Zero Carbon Future
- Manufacturing in a Climate Emergency
- Nuclear Energy and the Environment
- Earthquake-Induced Soil Liquefaction
- Introduction to Structural Materials
- Renewable Energy Systems
- Wildland Fire Engineering
Required Courses:
- Human Centered Design Methods I
- Flying Robots: from Small Drones to Aerial Taxis
- Analysis and Control of Nonlinear Systems
- Legged Robots: How to Make Robots Walk & Run
- Optimization of engineering systems
- The Digital Transformation in Industry
- Applied Data Science for Engineers
- Python for Engineers