Explore the Doctor of Computer Science - Big Data Analytics program at Colorado Technical University. This program is offered in USA and provides an excellent learning opportunity in Doctorate studies.

The Doctor of Computer Science with a concentration in Big Data Analytics from Colorado Technical University is designed for professionals aiming to enhance their expertise in data analysis and interpretation. This program covers essential tools and techniques such as AI, Hadoop, and data visualization, enabling students to manage and analyze large volumes of unstructured data effectively. The curriculum includes core courses in artificial intelligence, advanced database systems, and business intelligence, alongside research-focused courses culminating in a dissertation. Students will engage in both theoretical and practical applications, preparing them for leadership roles in data science and analytics. The program consists of 100 credits and is delivered entirely online, allowing for flexibility in scheduling. Graduates will be equipped to contribute significantly to their organizations by leveraging big data for strategic decision-making and innovation.

Required Courses

• Artificial Intelligence in Real World Problem Solving
• Current Topics in Computer Science and Information Technology
• Advanced Topics in Database Systems
• Business Intelligence
• Advanced Quantitative Analysis
• Futuring and Innovation
• Introduction to Big Data Analytics
• Advanced Topics in Big Data Analytics
• Analytics for Big Data
• Tools for Big Data Analytics
• Principles of Research Methods and Design
• Qualitative Research Methods
• Quantitative Research Methods
• Doctoral Research III: Dissertation Literature Review
• Doctoral Research IV: Dissertation Methods
• Doctoral Research V: Dissertation Introduction
• Doctoral Research VI: Dissertation Findings
• Doctoral Research VII: Dissertation Discussion and Conclusion
• Doctoral Research VIII: Dissertation Conclusion
• Doctoral Research I: Principles of Research and Writing
• Dissertation Process I
• Dissertation Process II
• Doctoral Symposium I
• Doctoral Symposium II

Elective Courses

• Select two 4-credit courses from 800-level CS or EM or EIS courses