Alert: Canvas Outage Update
Canvas access has been restored for our users, but the service reliability remains uncertain. Due to recent events, Canvas has had intermittent outages which are at the discretion of the vendor and may occur during a final exam. Faculty and staff may continue to use Canvas, but we strongly advise faculty and students to prepare a contingency plan for turning in assignments and final exams in the event Canvas access becomes unavailable again.
Instructure, the company that owns Canvas, has provided an FAQ about the incident, which may not answer all your questions. We will share more information if it becomes available.
Instructure, the company that owns Canvas, has provided an FAQ about the incident, which may not answer all your questions. We will share more information if it becomes available.
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Graduate Certificate: Data Science and Engineering
The certificate program in Data Science and Data Engineering will provide participants with advanced skills and abilities to design, build, manage, and critically evaluate data systems and analytical workflows to extract insight, ensure data integrity, support evidence-based decision-making, and address complex problems across personal, organizational, and global contexts.
Certificate Eligibility
This certificate is open to current CSMS students, qualified non-degree-seeking students, and graduate students enrolled in other CU Denver programs. Graduate students from outside CSMS must receive approval from both their home department and the certificate director prior to enrollment.
Participants should have prior knowledge in Fundamentals of Computing and Python Programming, Linear Algebra, and Algorithms. Familiarity with databases and basic software engineering principles is also recommended.
To declare this certificate, please submit the Intent to Complete a Graduate Certificate Form.
Curriculum
Students need to complete the following two graduate-level courses:
- CSCI 5580– Data Science
- CSCI 5930– Machine Learning
And two of the following:
- CSCI 5559– Database Systems
- CSCI 5932– Machine Learning Systems
- CSCI 5951– Big Data Systems
- CSCI 5931– Deep Learning
- CSCI 5455– Data Mining
- CSCI 5950– Big Data Mining
- CSCI 5952– Big Data Science
- CSCI 5551– Parallel and Distributed Systems
- CSCI 5799– Cloud Computing
- CSCI 5240– GenAI
- CSCI 5230– NLP with GenAI
- CSCI 5933– AI with Reinforcement Learning
- CSCI 5250– Graph Neural Networks
- CSCI 5625– Computer Vision
- CSCI 5210– Responsible AI
- CSCI 5220– Social Networks & Informatics
- CSCI 5800–Special Topics Courses*
*Prior approval of the director of the track & faculty advisor
Students must take and pass each course with a grade of B- or better and earn a GPA of at least 3.0 to obtain the Cyber Security and Defense Certificate.