Two students learning about Python programming, data modeling, and data science at their Deep Dive Data Science bootcamp.

Data Science

Make meaning of powerful data for any problem or industry in just 12 weeks.

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What You Will Learn

In Deep Dive’s Data Science bootcamp, you will learn to solve critical technology problems with new skills in data modeling, data analysis and automation tools with some Python programming. We’ll teach you the languages, tools, and techniques you’ll be using as a data scientist in the real world. 

Our experienced instructors will provide a space for you to work on labs and projects to build and maintain data models. As a graduate, you will be able to design and implement a real-world model that produces actionable information. 

If you are curious about the Data Science bootcamp but aren’t ready to register, please don’t hesitate to fill out our contact form, and we will answer any questions you may have.

Highlights

  • Critical thinking and project selection
  • Research and use of open-source libraries for data science
  • Access data using SQL queries and syntax
  • Data wrangling techniques to prepare and refine raw sets
  • Exploration and processing data sets with visualization tools
  • Machine learning algorithms
  • Cloud based Jupyter notebooks and other deployment tools
  • GITHUB, Slack, Agile development tools

Requirements

The Data Science bootcamp requires an intake conversation with a Senior Program Manager.

Our learners are expected to have practical understanding and experience with computers, including an intermediate proficiency operating a laptop and mouse, navigating popular operating systems and search engines, creating documents, and adding/starting/removing applications and systems on personal devices.

Learners must use their own laptop in this class with an operating system of Windows 10OS or Mac 10.13 or above. Webcams, a working headset with a microphone, and a mouse for design software may also be required. Chromebooks and tablets are insufficient. For programs delivering asynchronous/online learning activities, reliable internet access with a minimum of 3.8Mpbs/3.0Mbps (up/down) is required. Ask our team for program-specific laptop requirements. Interested in the CNM Laptop Loaner Program? Learn more at cnm.edu/loaner-program. Units are limited.

Full-Time Data Science Bootcamp

Schedule

  • 12 weeks to completion
  • Monday – Thursday: 8 a.m. – 5 p.m. (MT)
  • The time commitment outside of class includes homework and group projects totaling at least 20 hours per week.
  • 100% in-person instruction at CNM STEMulus Center, 20 First Plaza Galleria, Albuquerque, NM 87102

Dates and Deadlines

September 15 – December 5, 2025
Application Deadline: August 22, 2025

January 26 – April 17, 2026
Application Deadline: December 12, 2025

June 1 – August 21, 2026
Application Deadline: May 8, 2026

September 21 – December 11, 2026
Application Deadline: August 28, 2026

Part-Time Data Science Class

Schedule

  • 24 weeks to completion
  • Fridays: 8 a.m. – 5 p.m. (MT)
  • The time commitment outside of class includes homework and group projects totaling at least 20 hours per week.
  • 100% in-person instruction at CNM STEMulus Center, 20 First Plaza Galleria, Albuquerque, NM 87102

Dates and Deadlines

January 16 – June 26, 2026
Application Deadline: December 12, 2025

Cost and Tuition Assistance

Total Cost for Part-Time Class or Full-Time Bootcamp: $11,599

Tuition assistance is available.

Nine out of ten applicants receive 100% funding for their Deep Dive programs. Participants receiving financial assistance via scholarships or other funding sources may not have to pay a deposit or any tuition. Learn more about tuition assistance and the payment process.

Meet Your Data Science Instructor

Headshot of Robert Citek, Data Science instructor at Deep Dive

Robert Citek, M.S

Robert Citek has over 25 years of experience in biotech, healthcare, and research, focusing primarily in bioinformatics. Robert is passionate about sharing his knowledge and expertise with students and helping them to develop the skills they need to succeed in the rapidly evolving world of data science.

Headshot of Wilking Chali Alphonse, Data Science instructor at Deep Dive

Wilking Chali Alphonse

Wilking Chali Alphonse has nine years of experience in the business and service industry, developing strong problem-solving skills and a growing interest in using data science to address real-world business challenges. Wilking believes that Deep Dive offers a valuable opportunity to contribute to the community through technical training and the exploration of using data science for social good.

What Our Graduates Say

“If you are considering the Data Science bootcamp, I highly recommend it. The program will push you to your limits but leave you with the confidence and know-how to redirect your life and open new doors in tech. The team is there to support you every step of the way; we forged lifetime friendships in our time together. If you have the time to commit, I say go for it!”

— Lauren L.

Career Readiness

As a full-time bootcamp learner, you will have access to Career Readiness services from our Deep Dive Student Support staff, including: 

  • Durable soft skill building lessons  
  • Resume and portfolio feedback 
  • Job search techniques 
  • Technical interview preparation 
  • Technical networking practice  
  • HireCNM resources 

Credit for Prior Learning

Turn your completed non-credit training through Deep Dive into credit towards your degree or certificate program. Visit CNM’s Credit for Prior Learning page for more information.