M.S. in Data Analytics and Statistics from Washington University 2026 Entry: Dates, Fees, Eligibility, Entry Requirements etc.

M.S. in Data Analytics and Statistics from Washington University 2026 Entry: Dates, Fees, Eligibility, Entry Requirements etc.

St. Louis, MissouriLocation
UniversitySchool type
Estd1853established year
15303enrollment
Private (Not for Profit)
8.7/10

Master of Science [M.S] (Data Analytics and Statistics)

1 year
Full Time
On Campus

$67,522 /Yr

8 Students Applied
3 Students Admitted
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Sakshi.Collegedunia

Updated 3+ months ago

M.S. in Data Analytics and Statistics from Washington University Overview

The M.S. in Computer Science at WUSTL’s McKelvey School of Engineering is a 30-credit program (1.5–2 years). The program focus on software engineering, machine learning, and cybersecurity. It prepares students for careers in tech, with 95% placement in companies as Amazon, Google, and Microsoft (average salary: USD 100,000, INR 86,82,000). The program offers practical experience hands-on projects and access to cutting-edge labs in St. Louis, a hub for tech innovation. This program is accredited by the Higher Learning Commission.

M.S. in Data Analytics and Statistics from Washington University Fees

The annual cost of pursuing M.S. in Data Analytics and Statistics from Washington University in St. Louis is approximately $91,522/year which includes $67,522 in tuition fees and an estimated cost of $24,000 (may vary) for living expenses inclusive of housing, food and other living expenses.

M.S. in Data Analytics and Statistics from Washington University Dates

The Washington University accepts applications for Fall (August) and Spring (January) intakes. It is strongly advised to submit applications well in advance before the deadline.

Term

Priority Deadline (International)

Final Deadline

Classes Begin

Fall

January 31, 2026

March 01, 2026

August 2026

Spring

September 30, 2025

October 01, 2025

January 2026

(Early application is strongly encouraged for scholarship consideration and visa processing.)

M.S. in Data Analytics and Statistics from Washington University Module 

30 units of coursework

Component Course Code Course Title Units
Core Courses (Required – 15 units) ESE 417 / CSE 517A Intro to Machine Learning & Pattern Classification 3
ESE 415 / ESE 513 Optimization / Large‑Scale Optimization for Data Science 3
ESE 520 Probability & Stochastic Processes 3
ESE 524 Detection & Estimation Theory 3
ESE 527 Practicum in Data Analytics & Statistics 3
Electives (Choose 9 units) Various Topics such as Time Series, Bayesian Statistics, AI, etc. 9
Capstone (Choose one – 6 units) ESE 599 (Thesis option) or ESE 7970/7998 (Project) Thesis or Project capstone 6

Important Alert

  • Application Deadline For Fall Intake - Mar 1, 2026

Tuition Fees

Year1st Year Fees
Tuition Fees$67522

Other Expenses

HeadAvg Cost Per Year
Living Cost$24000
Health Insurance$2000
Category Annual Amount (USD)
Tuition (full-time) $66,850
Health & Wellness Fee $672
Total Estimated Cost $67,522

Additional costs such as student health insurance, dental, activities fees, housing, books, and personal expenses are not included.

Previous Year Tuition Fees

Year1st Year Fees
2022$57750

Important Dates

Application Deadline For Fall 2025 Intake is expected to be 2026-03-01 as per the previous year.

EventApplication Date
Application Deadline For Spring Intake Oct 1, 2025
Application Deadline For Fall Intake Mar 1, 2026

Scores Required

7.0 / 9

Avg. Score in

IELTS

100 / 120

Avg. Score in

TOEFL

68 / 90

Avg. Score in

PTE

115 / 160

Avg. Score in

Duolingo

75

Application Fees

30

ECTS Credits

TOP Scholarships

Scholarship nameAward amountEligibility
McKelvey Graduate FellowshipUSD 5,000–20,000/yearHigh academic merit; automatic consideration.
International Student ScholarshipUSD 3,000–10,000/yearMinimum GPA 3.2; separate application.
Graduate Assistantships (RA/TA)Partial tuition waiver and stipend.Research/teaching roles; competitive


Career and Placement after Course

 Finishing an ms in data analytics and statistics program from the washington university will put you on track for career success in a variety of roles:

  • Data Analyst
  • Statistical Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Quantitative Analyst
  • Market Research Analyst
  • Operations Analyst, etc.


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