Computer Science (Non-Thesis)

Looking to gain advanced technical training in computing without stepping away from your career? The Master of Science in Computer Science (Non-Thesis) at Colorado School of Mines is flexible and designed for working professional, career changers and technical specialists looking to deepen their expertise in high-demand areas such as machine learning, data science and cybersecurity.

The program emphasizes applied, industry-relevant coursework that mirrors how computer science is practiced today. You will expand the foundation from your undergraduate degree while strengthening your capabilities in systems thinking and computational problem solving.

Computer science continues to shape nearly every sector of the economy, from engineering and manufacturing to finance, healthcare and national security. Organizations need professionals who can design reliable systems, work with complex data and adapt to rapidly evolving technologies. Mines stands out by grounding computer science in engineering and applied science, ensuring you learn how to build solutions that work at scale and under real-world constraints.

This program prepares you to contribute immediately and grow into advanced technical or leadership roles, backed by the practical, outcomes-driven education Mines is known for. With flexible pathways and stackable coursework options, you can tailor the program to your goals while continuing to advance your career.

Program Design

The Master of Science in Computer Science (Non-Thesis) focuses on advanced coursework and applied learning rather than a research thesis. You complete a rigorous mix of foundational and upper-level computer science courses designed to strengthen core computer science knowledge while allowing flexibility to pursue topics aligned with your professional goals.

Courses emphasize real-world relevance, preparing you to design, implement and evaluate systems that perform under practical constraints. While a thesis is not required, many courses emphasize project-based work. These projects help you build practical experience in system design, coding, testing and technical communication. You graduate with a portfolio of advanced work that demonstrates your capabilities.

This program offers four distinct specialization tracks, allowing you to customize your degree around your career aspirations:

• Applied Machine Learning: Build expertise in machine learning, data science and artificial intelligence techniques to solve complex, data-driven problems across industries.
• Cybersecurity: Develop advanced knowledge in cryptography, system security and cyber-physical systems to protect digital infrastructure and mitigate evolving cyber threats.
• Analytics and Project Management: Combine data analytics with leadership and business strategy to drive innovation, manage technical teams, and lead data-informed decision-making.
• Advanced Software Technologies: Master advanced programming, software architecture, and engineering practices to design and develop scalable, high-performance systems.