Bachelor's Accelerated Masters (BAM) in DS
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 ñ 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:
Develop & deploy machine learning models
Use statistical models for decisionmaking under uncertainty
Build data pipelines and analytical workflows
Communicate findings that inform strategy and policy
How the BAM Pathway Works
Year Two
Explore the Pathway
- Learn about the MS-DS program
- Confirm prerequisites and eligibility
- Discuss the pathway with your advisor
Year Three
- Take select graduate-level data science courses
- Continue completing your undergraduate requirements
Year Four
Complete BAM Coursework
Take 6 credit-hours that count for both your undergraduate and graduate degree.
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)
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
Attend an Info Session or Webinar
Sessions for prospective students exploring the Residential (on-campus) MS in Data Science:
Curious about a career in data science or AI? Join us for a Master of Science in Data Science (MS-DS) Program Overview Webinar to learn more! In just an hour, you’ll explore the multidisciplinary curriculum that blends computer science, statistics, and machine learning all while gaining valuable application and admissions tips to help you along your journey.
Sessions are all remote and don't require too much participation. Feel free to drop in and listen while at work, home, etc. Slides will be sent to you at meeting's end.
🕒 12 -1 PM MT
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🕒 12 -1 PM MT
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🕒 8:30 - 9:30 AM MT
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🕒 8:30 - 9:30 AM MT
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🕒 12 - 1 PM MT
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Sessions for ñ undergraduates exploring the MS in Data Science or the BAM option.MS-DS BAM Information
| Computer Science Undergraduates | Non-Computer Science Undergraduates |
| Learn how you can save up to $15,000 - $20,000 dollars through the accelerated master's pathway at ñ, and walk away with a clearer understanding of what the full learner journey entails. | Data science can be applied in almost any field, and we can help you apply a unique data lens to the work you'd like to do. Explore the multidisciplinary curriculum and gain valuable application and admissions tips. |
Sessions are all in-person in the Engineering Center and will feature snacks or lunch! Feel free to drop in and listen while taking a break to catch a bite. Slides will be sent to you at meeting's end.