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Bayesian Computational Statistics
A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and testing, Bayesian computation theories and methods, and implementation of Bayesian computation methods using popular statistical software.
Required Textbook: Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2013) Bayesian Data
Analysis, Third Edition, Chapman & Hall/CRC.
Software Requirements: R or Python, Word processing (such as Word, Pages, LaTeX, etc)
Duration
4 Months
Institution
Illinois Tech
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Illinois Tech.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$362
Total Est. Investment
$362
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Bayesian Computational Statistics program at Illinois Tech are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.