M.S Statistical Science at Duke University [DUKE UNI], Durham Fees, Entry Requirement & Application Deadline

M.S. Statistical Science from Duke University 2026 Entry: Dates, Fees, Eligibility, Entry Requirements etc.

Durham, North CarolinaLocation
UniversitySchool type
Estd1838established year
16130enrollment
Private (Not for Profit)
8.3/10

Master of Science [M.S] (Statistical Science)

2 years
Full Time
On Campus

Field of Study

$67,724 /Yr

2 Students Applied
1 Students Admitted

Important Alert

  • Application Deadline For Fall 2026 Intake - Jan 5, 2026

Tuition Fees

Year1st Year Fees
Tuition Fees$67724

Other Expenses

HeadAvg Cost Per Year
Living Expenses$18162
Transportation$2088

Per Credit Cost: $3,762

Previous Year Tuition Fees

Year1st Year Fees
2022$60220
2021$28950

Important Dates

EventApplication Date
Application Deadline For Fall 2026 Intake Jan 5, 2026

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Amazing... There is everything you can do. Duke promotes great ideas and supports you in your ambitions. You should be able to make the best out of it!

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M.S. Statistical Science from Duke University Overview

The M.S. Statistical Science from Duke University is a two-year program at the Graduate School. Applications for this program are accepted once a year, with a deadline of 6 January 2026 for the Fall 2026 Intake. The Graduate School accepts almost all English proficiency exams, such as IELTS, TOEFL, and Duolingo, for international students' admission.

M.S. Statistical Science from Duke University Dates

The Application Deadline for The M.S. Statistical Science from Duke University for Fall 2026 Intake is 5 January 2026.

M.S. Statistical Science from Duke University, Fees

The Annual cost of pursuing an M.S. Statistical Science program at Duke University is approximately $98,155(INR 83,58,311), which includes $67,724in tuition fees and an estimated cost of $18,162 for living expenses.

M.S. Statistical Science from Duke University Module

The M.S. Statistical Science from Duke University  includes the following modules:

Year

Core Modules

Optional Modules (Select Based on Specialisation)

Year 

  • Predictive Modeling and Statistical Learning
  • Programming for Statistical Science
  • ProSeminar: Becoming a Professional Statistician
  • Theory of Statistical Inference
  • Bayesian and Modern Statistical Data Analysis
  • Statistical Computing and Computation
  • Multilevel and Hierarchical Models
  • Advanced Stochastic Modeling and Machine Learning
  • Statistical Learning and Bayesian Nonparametrics
  • Time Series and Dynamic Models
  • Categorical Data Analysis
  • Probability and Measure Theory
  • Real Analysis I
  • Real Analysis II
  • Causal Inference
  • Statistics and Decision Analysis
  • Introduction to Econometrics
  • Forecasting Financial Markets
  • Mathematical Finance
  • Design of Surveys and Causal Studies
  • Survival Analysis
  • Statistical Genetics and Genetic Epidemiology
  • Case Studies in Biomedical Data Science
  • Probabilistic Machine Learning
  • Statistical Decision Theory
  • Deep Learning
  • Natural Language Processing
  • Database Systems
  • Market Intelligence
  • Decision Modeling
  • Social Networks
  • Demographic Methods

Eligibility & Entry Requirement

School

The Graduate School

Academic Requirement

A bachelor’s degree or equivalent in a related field with a GPA of 3.0 or above.

English Language Requirements

  • TOEFL(iBT) Minimum Score of 90
  • IELTS Minimum Score of 7.0
  • Duolingo Minimum Score of 125

Application link

Application Link

Total Credits

36

Course Duration 

2 Years

Application Fee

$95

Documents Required

  • Online application
  • Application fee
  • Transcripts 
  • English language Proficiency score
  • Statement of Purpose
  • Three Letters of Recommendation
  • Resume
  • GRE scores 
  • Video Introduction

Scores Required

7 / 9

Avg. Score in

IELTS

90 / 120

Avg. Score in

TOEFL

125 / 160

Avg. Score in

Duolingo

95

Application Fees

36

ECTS Credits


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