Overview

The Statistics programme at Columbia University provides students with a sophisticated understanding of mathematical statistics and probability. This M.A. degree prepares graduates for high-level roles in data science, finance, and research by blending theoretical foundations with practical applications. Students benefit from a curriculum that addresses the evolving demands of the global data landscape.

The department focuses on equipping learners with the tools necessary to solve complex problems across various industries. By engaging with diverse statistical models, participants develop the expertise required to interpret large datasets and drive evidence-based decision-making. The academic environment encourages rigorous inquiry and technical proficiency.

Why Statistics at Columbia University?

Choosing this programme allows students to study at a world-renowned institution located in a global hub for finance and technology. The university provides access to distinguished faculty members who are leaders in the field of statistical research. This academic setting fosters a culture of excellence and innovation, ensuring graduates are competitive in the international job market.

The department maintains strong connections with industry partners, offering students unique insights into the practical challenges of modern data analysis. Facilities and resources are tailored to support advanced computational work, providing a robust platform for professional development and academic growth.

Tuition Fee Breakdown

International fee: USD 36728 per semester
National fee: USD 36728 per semester
Local fee: USD 36728 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to provide a deep dive into both classical and contemporary statistical techniques. Modules may include:

Probability
Inference
Linear Regression Models
Data Analysis
Stochastic Processes
Time Series Analysis
Machine Learning
Bayesian Statistics
Multivariate Analysis

Careers with Statistics

Graduates of this programme are highly sought after by top-tier organisations across multiple sectors, including banking, pharmaceuticals, and technology. Common career paths include roles such as data scientist, quantitative analyst, and risk consultant. The skills acquired during the course enable alumni to excel in positions that require advanced predictive modelling and data interpretation.

Many former students have secured positions at leading global firms, leveraging the university's reputation and the programme's rigorous training. The degree also serves as an excellent foundation for those wishing to pursue further doctoral research in statistics or related quantitative disciplines.

Programme Structure

Courses include:

Probability

Inference

Linear Regression Models

Advanced Data Analysis

Advanced Machine Learning

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-19 00:00:00
- Apply before 2026-10-30 00:00:00
Starting 2027-09-08 00:00:00
- Apply before 2027-05-01 00:00:00

Language

English

TOEFL^® IBT

100

Schedule TOEFL®

IELTS

7.5

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Credits

30 SCH

Delivered

On Campus

Campus Location

Manhattan, United States

Disciplines

Statistics View 307 other Masters in Statistics in United States

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Academic requirements

GRE^®

Required

English requirements

TOEFL^® IBT

100

Schedule TOEFL®

IELTS

7.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

All students must submit one transcript showing courses and grades per school attended

a statement of academic purpose

a personal statement

three letters of recommendation from academic sources

a list of undergraduate coursework, including grades received, in the following areas: calculus, linear algebra, probability and statistics, and advanced mathematics and statistics
Additionally, fall grades may be required from all Statistics MA applicants who have not yet received an undergraduate degree.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

73456 USD / year

≈ 73456 USD / year
Out-of-State

73456 USD / year

≈ 73456 USD / year
Domestic

Applies to you

In-State

73456 USD / year

≈ 73456 USD / year

Living costs

Manhattan

United States

2638 - 5751 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Statistics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

Statistics

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Manhattan

Financing

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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