Mission Statement
The mission of the School of Data, Computing, and Mathematical Sciences is to prepare students with the computational, analytical, and mathematical expertise required to solve complex technological and quantitative problems. Through rigorous instruction and applied learning, we equip graduates with industry-aligned technical competencies and adaptable problem-solving skills.
Vision Statement
To be a forward-thinking online STEM school recognized for producing technically proficient, analytically rigorous, and innovation-driven graduates prepared for emerging technology careers and advanced study.
About the School
The School of Data, Computing, and Mathematical Sciences prepares students for the technological and quantitative demands of the modern economy. Our programs emphasize computational thinking, analytical reasoning, systems design, and problem-solving grounded in mathematical precision.
Delivered fully online through both synchronous and asynchronous formats, our programs combine flexibility with technical rigor. Faculty integrate hands-on projects, real-world simulations, coding environments, and data-driven applications to ensure students graduate with market-ready skills.
Undergraduate Degrees
The BA programs provide strong technical foundations alongside interdisciplinary breadth, while the BS programs offer deeper immersion in advanced technical, computational, and quantitative frameworks.
We offer Bachelor of Arts (BA) and Bachelor of Science (BS) degrees in:
- Information Technology
- Computer Science
- Mathematics
Minors
These minors are structured to enhance majors in business, education, and other fields by strengthening technical literacy and quantitative reasoning.
Students may pursue minors in:
- Information Technology
- Computer Science
- Mathematics
Our Distinctive Focus
Our graduates are prepared for careers in software development, IT management, cybersecurity, analytics, actuarial sciences, and advanced graduate study in STEM fields.
The School emphasizes:
- Applied coding and software development
- Cybersecurity and systems architecture fundamentals
- Data modeling and computational analysis
- Mathematical rigor and abstract reasoning
- Industry-aligned technical competencies