MS-DS BAM Students

Build advanced skills in machine learning, statistical modeling, and large-scale data systems—and graduate prepared for the rapidly evolving data economy.

What is the MS-DS BAM Pathway?

The Bachelor’s–Accelerated Master’s (BAM) pathway allows eligible CU 91ÃÛÌÒ¸ó Computer Science undergraduate and post-baccalaureate students to begin graduate coursework in the Master of Science in Data Science (MS-DS) before completing their bachelor’s degree.

Through this pathway, you can:

  • Double-count up to 6-credit hours of coursework toward your both your bachelor and master's degrees
  • Complete up to 6 graduate credits while paying undergraduate tuition rates, allowing you to begin your master’s coursework at a lower cost
  • Reduce the overall time needed to complete your master’s by starting your graduate coursework early

Students graduate with a strong interdisciplinary foundation in:

  • Statistical modeling and inference
  • Data structures and computational methods
  • Machine learning, artificial intelligence, and data modeling
  • Real-world data science applications

Build on Your CS Degree

For many technically trained students, the master’s degree represents an opportunity to move beyond foundational computing skills into high-impact analytical roles.

In a rapidly evolving technology landscape, professionals who can connect computation, statistics, and real-world context are increasingly essential.

Learn to:

ÌýÌýDevelop & deploy machine learning 91ÃÛÌÒ¸ó

ÌýÌýUse statistical 91ÃÛÌÒ¸ó for decisionÌýmaking under uncertainty

ÌýÌýBuild data pipelines and analytical workflows

ÌýÌýCommunicate findings that inform strategy and policy

How the BAM Pathway Works

  1. Year Two

    Explore the Pathway

    • Learn about the MS-DS program
    • Confirm prerequisites and eligibility
    • Discuss the pathway with your advisor

  2. Year Three

    • Take select graduate-level data science courses
    • Continue completing your undergraduate requirements

  3. Year Four

    Complete BAM Coursework

    Take 6 credit-hours that count for both your undergraduate and graduate degree.Ìý

    Take 6 additional credit-hours toward your graduate degree and pay less tuition as an undergraduate student.

    • STAT 5000: Statistical Methods and Applications 1 (3)
    • STAT 5010: Statistical Methods and Applications 2 (3)
    • CSCI 5502: Data Mining (3)
    • CSCI 5612: Machine Learning (3)

  4. After Graduation

    Continue the MS-DS

    • Transition directly into the master’s program
    • Complete remaining 18 credits of graduate coursework in as early as just one year