Arizona State University offers a Master of Science in Data Science, Analytics and Engineering with a concentration in Bayesian Machine Learning through the Ira A. Fulton Schools of Engineering.
The 30-credit, campus-based program focuses on Bayesian statistics, computational statistics, machine learning, data mining, and data engineering. Students can complete the degree with either an applied data science capstone or a research thesis.
Last reviewed: September 2026
Quick Facts
| Degree | MS in Data Science, Analytics and Engineering |
| Concentration | Bayesian Machine Learning |
| School | Ira A. Fulton Schools of Engineering |
| Location | Tempe, Arizona |
| Format | Campus-based |
| Credits | 30 |
| Culminating Experience | Capstone or thesis |
| Minimum GPA | 3.0 |
| GRE | Not required |
| Fall Priority Deadline | December 31 |
| Spring Priority Deadline | July 31 |
| STEM-OPT Eligible | Yes |
Official Bayesian Machine Learning degree page
Curriculum
The Bayesian Machine Learning concentration combines a common data science core with specialized coursework in statistics and Bayesian methods.
Students complete 30 graduate credits consisting of:
- 9 credits of required core coursework
- 9 credits in the Bayesian Machine Learning concentration
- 6–9 credits of electives
- 3-credit Data Science Capstone or 6-credit thesis
Data Science Core
Students select courses covering three main areas:
Probability and statistics
Options include Statistics for Data Analysts, Probability and Random Processes, and Theory of Statistics.
Data processing and databases
Options include:
- CSE 511 – Data Processing at Scale
- CSE 512 – Distributed Database Systems
- IFT 530 – Advanced Database Management Systems
Machine learning and data mining
Options include courses such as:
- CSE 572 – Data Mining
- CSE 575 – Statistical Machine Learning
- EEE 549 – Statistical Machine Learning: From Theory to Practice
- IEE 520 – Statistical Learning for Data Mining
- IFT 511 – Analyzing Big Data
Bayesian Machine Learning Courses
Students select three concentration courses from:
- STP 502 – Theory of Statistics II: Inference
- STP 505 – Bayesian Statistics
- STP 540 – Computational Statistics
- STP 551 – Time Series Analysis
The concentration emphasizes Bayesian learning, statistical inference, computational methods, time-dependent data, causal modeling, and decision-making under uncertainty.
Capstone or Thesis
Students finish the program through one of two paths:
- FSE 570 – Data Science Capstone: 3 credits
- STP 599 – Thesis: 6 credits
The capstone provides an applied option, while the thesis is better suited to students interested in research or possible doctoral study.
Cost and Tuition
Arizona State University charges graduate tuition based on residency, enrollment, and other factors rather than publishing one fixed total price for this degree.
For the 2026–27 academic year, ASU lists graduate base tuition of:
| Residency | Annual Base Tuition* |
|---|---|
| Arizona resident | $13,327 |
| Nonresident | $29,196 |
*ASU bases these figures on enrollment of nine graduate credits per semester. University fees and any program-specific charges are additional.
Because the program requires 30 credits and tuition rates can change each academic year, students should use ASU’s current tuition estimator rather than treating these annual figures as the total cost of the degree.
View ASU graduate tuition and costs
Admission Requirements
Applicants should have a bachelor’s or master’s degree in computing, engineering, mathematics, statistics, operations research, information technology, or a related field from a regionally accredited institution.
Applicants need a minimum 3.0 GPA in the final 60 credit hours of their first bachelor’s degree or a minimum 3.0 GPA in an applicable master’s program.
ASU also expects applicants to demonstrate preparation in:
- undergraduate statistics or probability
- undergraduate linear algebra
- MATLAB, Python, SQL, R, or another relevant programming language
Completion of undergraduate linear algebra is a firm requirement for the Bayesian Machine Learning concentration.
Applicants without a degree in a computing or closely related field may also need to show relevant experience or credentials such as the AWS Certified Cloud Practitioner, Google IT Support Certificate, or Google Data Analytics Certificate.
Application Materials
Applicants submit:
- graduate application and application fee
- official transcripts
- written statement
- professional resume
- two letters of recommendation
- proof of English proficiency when required
The GRE is not required.
Application Deadlines
| Entry Term | Priority Deadline |
|---|---|
| Fall | December 31 |
| Spring | July 31 |
ASU may consider applications received after these priority dates on a space-available basis.
Program Format
The Bayesian Machine Learning concentration is offered in person at Arizona State University’s Tempe campus.
ASU does offer other online graduate programs involving computer science, artificial intelligence, and machine learning, but this specific DSAE Bayesian Machine Learning concentration is listed as an in-person program.
The degree is also STEM-OPT eligible, which may allow qualifying international students on F-1 visas to extend their U.S. work authorization after graduation.
Who Is This Program Best For?
ASU’s Bayesian Machine Learning concentration is a strong option for students who want a graduate program that combines machine learning with a deeper foundation in probability and statistics.
It may be especially appealing to students interested in:
- Bayesian modeling and inference
- statistical machine learning
- computational statistics
- data science
- time series analysis
- data mining
- research involving uncertain or high-dimensional data
The program has a more statistical focus than a general computer science master’s degree. Students who primarily want software engineering, computer vision, natural language processing, or broad artificial intelligence coursework may want to compare ASU’s other computer science and AI graduate programs.
Official Arizona State University Program Links
- Official Bayesian Machine Learning degree page
- DSAE program site
- DSAE admissions page
- ASU graduate tuition page
Related Machine Learning Programs in Arizona
Students can also compare Arizona State University with other master’s programs in machine learning, artificial intelligence, and related fields offered in Arizona.
- Avila University - Goodyear
- Northern Arizona University - Flagstaff
- University of Arizona - Tucson