Perform the intensive’s core workflow safely and accurately
Professional Intensive
Data Science & Research Computing
Data Science & Research ComputingProfessional Intensive · Computing, Communication & Enterprise
Research Computing Bootcamp
A concentrated workflow in programming, data management, notebooks, visualization, version control, and reproducible research.
Program purpose
Professional Intensive
A concentrated workflow in programming, data management, notebooks, visualization, version control, and reproducible research. Participants complete a defined workflow and leave with evaluated technical documentation and a reusable product.
Learning outcomes
What graduates are prepared to do
Program outcomes connect disciplinary knowledge to methods, judgment, communication, and independently evaluated work.
Document methods, settings, evidence, and quality controls
Interpret results in relation to the problem and operating context
Deliver a professional product suitable for review or continued use
Curriculum architecture
How the pathway is organized
Coursework progresses from foundations to methods, integration, and a culminating demonstration of capability.
Foundations
Build the knowledge, skills, and mindset for inquiry.
Application
Apply methods and tools to real-world questions.
Integration
Synthesize across disciplines and perspectives.
Demonstration
Produce and present work that creates impact.
- 01
Preparation and workflow design
- 02
Supervised applied work
- 03
Quality review and final product
Course sequence
Selected curriculum
CS-110
Computational Thinking & Programming
Introduces programming, algorithms, data, abstraction, testing, and computational problem solving through research and applied examples.
- Requirement
- Core
- Credits
- 3.0
Data Management & Reproducible Research
Develops durable data structures, metadata, versioning, cleaning, provenance, documentation, and reproducible analysis workflows.
- Requirement
- Core
- Credits
- 3.0
Research Computing & Visualization
Uses computational notebooks, scripting, visualization, statistical workflows, and research software practices to analyze and communicate complex evidence.
- Requirement
- Core
- Credits
- 3.0
Learning environments
Field, laboratory & studio work
- Dedicated field, laboratory, studio, or computing access
Professional directions
Where the capability can lead
- Professional upskilling
- Project-specific capability
- Preparation for certificate or graduate study
Culminating work
Capstone, thesis, dissertation, or professional demonstration
A completed field record, laboratory package, technical report, model, manuscript, or working prototype demonstrates the intensive’s outcomes.
Admissions preparation
Materials and background
Admissions review considers preparation, purpose, prior work, and the fit between the applicant’s goals and the program.
Background appropriate to the intensive
Required safety, ethics, or methods preparation
Statement of intended application
Next step
Connect this pathway to your academic goals.
Request information for a focused conversation or begin an application through the Stella Nova Student Information System.