ARIZONA STATE UNIVERSITY · UNITED STATES
Data Science, Analytics and Engineering (Bayesian Machine Learning), MS
Master's · Taught in en · UCAS N/A
At a glance
24 mo
Duration
6.5
IELTS
€27k
Tuition / yr
en
Language
Master's
Level
- STEM-OPT eligible (up to 36 months)Work Authorization
- Offered by Ira A. Fulton Schools of EngineeringDepartment
- Collaboration with School of Mathematical and Statistical SciencesInterdisciplinary
- Focus on Bayesian methodsSpecialization
The Master of Science in Data Science, Analytics and Engineering with a concentration in Bayesian machine learning is a collaborative program between the Ira A. Fulton Schools of Engineering and the School of Mathematical and Statistical Sciences at Arizona State University. This program is designed to equip students with the skills to transform complex data into accurate predictions using probabilistic frameworks. You will learn to apply Bayesian methods to extract meaningful insights from diverse, complex, and often uncertain datasets, an expertise highly valued across various industries. This concentration focuses on the statistical, probabilistic, and mathematical foundations of cutting-edge machine learning and data science. Students will explore hierarchical modeling, time series analysis, ensemble modeling, spatial modeling, and causal modeling, applying these tools in fields such as engineering, physics, biology, social sciences, economics, and finance. The program culminates in either a capstone project or a thesis, allowing students to conduct advanced Bayesian data analysis, modeling, and decision-making.
Curriculum
The program requires 30 credit hours, which can be completed with a capstone course (FSE 570) or a thesis (STP 599). The curriculum covers core data science concepts, specialized Bayesian machine learning topics, electives, and a culminating experience.
- Overall Curriculum
- Statistics for Data AnalystsDSE 501
- Probability and Random ProcessesEEE 554
- Intermediate Statistics for Human Systems EngineeringHSE 530
- Theory of Statistics I: Distribution TheorySTP 501
- Data Processing at ScaleCSE 511
- Distributed Database SystemsCSE 512
- Advanced Database Management SystemsIFT 530
- Data MiningCSE 572/DSE 572
- Statistical Machine LearningCSE 575/STP 550
- Statistical Machine Learning: From Theory to PracticeEEE 549
- Statistical Learning for Data MiningIEE 520
- Analyzing Big DataIFT 511
- Applied Machine Learning for Mechanical EngineersMAE 551
- Theory of Statistics II: InferenceSTP 502
- Bayesian StatisticsSTP 505
- Computational StatisticsSTP 540
- Time Series AnalysisSTP 551
- Data Science CapstoneFSE 570
- ThesisSTP 599
Careers
Graduates of this program are well-prepared for high-demand roles as statisticians and data scientists, consistently ranked among the top professions. With a strong foundation in Bayesian learning, you will be equipped to collect, curate, model, and communicate insights from complex data, supporting data-driven decision-making in various sectors.
- Statistician
- Data Scientist
- Quantitative Analyst
- Machine Learning Engineer
- Research Scientist
Frequently asked questions
- What are the specific academic requirements to apply for the MS in Data Science, Analytics and Engineering (Bayesian Machine Learning)?
- You need a Bachelor's or Master's Degree in computing, engineering, mathematics, statistics, operations research, information technology, or a related field, with a minimum GPA of 3.00 in your last 60 credit hours or master's program. You must also have completed undergraduate linear algebra and an undergraduate statistics or probability course.
- What is the estimated tuition and living cost for international students?
- International students can expect annual tuition and fees to be around $31,572 USD. Estimated annual living costs for housing, food, books, transportation, and personal expenses typically range from $16,000 to $20,000+ USD.
- How long does the MS program typically take to complete?
- The program requires 30 credit hours, which can be completed with a capstone course or a thesis. The provided curriculum details are for the overall program structure.
- What are the English proficiency requirements for international applicants?
- International applicants whose native language is not English must provide proof of proficiency with a minimum TOEFL iBT score of 80 (or 4 for internet-based), an IELTS score of 6.5, or a Duolingo English Test score of 105.
- What are the career prospects after graduating from this program?
- Graduates are prepared for roles such as Statistician, Data Scientist, Quantitative Analyst, Machine Learning Engineer, and Research Scientist, with the program emphasizing skills in statistical, probabilistic, and mathematical foundations of machine learning.
- When are applications typically open and what documents are needed?
- Applications are usually open year-round for future intakes, but specific deadlines should be checked on the ASU admissions portal. Required documents include transcripts, a written statement, resume, two letters of recommendation, and proof of English proficiency if applicable.
Entry requirements
Bachelor's or Master's DegreeIn computing, engineering, mathematics, statistics, operations research, information technology, or a related field from a regionally accredited institution.
GPAMinimum cumulative GPA of 3.00 (on a 4.00 scale) in the last 60 hours of the first bachelor's degree or in an applicable master's degree program.
Prerequisite CourseworkUndergraduate linear algebra (e.g., MAT 343 Applied Linear Algebra) and undergraduate statistics or probability (e.g., IEE 380, STP 420, STP 421, EEE 350). Linear algebra is a firm requirement before applying.
Programming SkillsFamiliarity with MATLAB, Python, SQL, or R, or other relevant programming skills (demonstrated in resume).
Additional for non-CS/Engineering backgroundsEvidence of at least one of the following certifications or equivalent experience: AWS-certified cloud practitioner, Google data analytics certificate, Google IT support certificate (demonstrated in resume).
TOEFL (iBT)80 (if taken before January 21, 2026, in a testing center) or 4 (for Internet-based test)
IELTS6.5
Duolingo English Test105
Applicants must meet the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering. Proof of English proficiency is required for all applicants whose native language is not English, regardless of current residency.
Fees
Tuition (international)International students pay an out-of-state tuition rate. For a graduate program like this, estimated annual tuition and fees for international students can be around $31,572 USD, which includes various university and college-specific fees.
Tuition (home)Arizona residents typically pay a lower rate. Estimated annual tuition and fees for in-state students can be around $13,000 USD, including various fees.
LivingEstimated living costs (housing, food, books, supplies, transportation, personal expenses) for international students typically range from $16,000 to $20,000+ USD per year. Exact costs vary greatly depending on lifestyle and housing choices.
Tuition and fees are subject to change annually. International students are also responsible for health insurance and other personal expenses. Use the university's tuition estimator for a personalized cost breakdown.
How to apply
1. Complete the online graduate admission applicationFill out the official Arizona State University graduate admission application online. An application fee will be required.
2. Submit official transcriptsProvide official academic transcripts from all previously attended institutions. These should demonstrate your bachelor's or master's degree and GPA.
3. Prepare a written statementWrite a personal statement outlining your academic background, research interests, and reasons for pursuing this specific program and concentration.
4. Submit a professional resumeYour resume should detail your work experience, projects, and highlight relevant programming skills (MATLAB, Python, SQL, R) and any certifications (AWS-certified cloud practitioner, Google data analytics certificate, Google IT support certificate) if applicable.
5. Provide two letters of recommendationArrange for two individuals (preferably academic or professional contacts) to submit letters of recommendation supporting your application.
6. Provide proof of English proficiencyIf your native language is not English, submit scores from an approved English proficiency test (TOEFL, IELTS, Duolingo English Test) that meet the minimum requirements.
7. Demonstrate prerequisite courseworkEnsure your academic record or resume clearly shows completion of an undergraduate linear algebra course and an undergraduate statistics or probability course. Linear algebra is a firm requirement.
Scholarships
New American University Scholarship (Graduate)Varies (can cover remaining undergraduate scholarship amount)
Accreditation
Arizona State University is accredited by the Higher Learning Commission.
Frequently asked questions
What are the specific academic requirements to apply for the MS in Data Science, Analytics and Engineering (Bayesian Machine Learning)?
+
You need a Bachelor's or Master's Degree in computing, engineering, mathematics, statistics, operations research, information technology, or a related field, with a minimum GPA of 3.00 in your last 60 credit hours or master's program. You must also have completed undergraduate linear algebra and an undergraduate statistics or probability course.
What is the estimated tuition and living cost for international students?
+
International students can expect annual tuition and fees to be around $31,572 USD. Estimated annual living costs for housing, food, books, transportation, and personal expenses typically range from $16,000 to $20,000+ USD.
How long does the MS program typically take to complete?
+
The program requires 30 credit hours, which can be completed with a capstone course or a thesis. The provided curriculum details are for the overall program structure.
What are the English proficiency requirements for international applicants?
+
International applicants whose native language is not English must provide proof of proficiency with a minimum TOEFL iBT score of 80 (or 4 for internet-based), an IELTS score of 6.5, or a Duolingo English Test score of 105.
What are the career prospects after graduating from this program?
+
Graduates are prepared for roles such as Statistician, Data Scientist, Quantitative Analyst, Machine Learning Engineer, and Research Scientist, with the program emphasizing skills in statistical, probabilistic, and mathematical foundations of machine learning.
When are applications typically open and what documents are needed?
+
Applications are usually open year-round for future intakes, but specific deadlines should be checked on the ASU admissions portal. Required documents include transcripts, a written statement, resume, two letters of recommendation, and proof of English proficiency if applicable.