Overview

The M.S. in Data Science and Analytics (DSAN) at Georgetown University equips students with the necessary skills and knowledge to thrive in the rapidly evolving field of data science. The programme is structured to provide both theoretical understanding and practical application, ensuring that graduates are well-prepared for various industry demands.

Why Data Science and Analytics at Georgetown University?

Georgetown University is renowned for its academic excellence and commitment to fostering a diverse and inclusive community. The DSAN programme benefits from strong partnerships with industry leaders, providing students with valuable networking opportunities. With access to cutting-edge facilities and expert faculty who are actively engaged in research, students can expect a comprehensive education that prepares them for real-world challenges.

Tuition Fee Breakdown

The tuition fees for the M.S. in Data Science and Analytics are as follows:

International Fee: USD 49,795 per year
National Fee: USD 49,795 per year
Local Fee: USD 49,795 per year

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

Syllabus

The curriculum for the M.S. in Data Science and Analytics is designed to cover a wide range of topics essential for future data scientists. Key areas of study include:

Deep Learning
Big Data
Cloud Computing
Advanced Natural Language Processing
Large Language Models
Artificial Intelligence

Students also have the opportunity to choose from over 22 electives, allowing them to tailor their education to their interests, including themes such as climate change, ethics, and healthcare.

Industry Demand

The demand for skilled data scientists continues to grow across various sectors, including business intelligence, finance, healthcare, and public policy analytics. Graduates of the DSAN programme are well-positioned to meet this demand, equipped with the latest skills and knowledge to make a significant impact in their chosen fields.

Careers with Data Science and Analytics

Graduates of the M.S. in Data Science and Analytics find employment in prestigious organisations such as Amazon, Google, IBM, Deloitte, MITRE, and Sony Motion Pictures. They take on roles including data scientists, software engineers, machine learning engineers, consultants, analysts, and developers. The programme not only prepares students for immediate job placement but also equips them with the skills to adapt and excel in a variety of career paths.

Programme Structure

Courses include:

Computational Linguistics

Data Structures, Objects, and Algorithms in Python

Time Series

Blockchain Technologies for Data Science

Natural Language Processing
NLP with Large Language Models

Key information

Duration

Full-time
- 16 months
Part-time
- 36 months

Start dates & application deadlines

Starting 2027-08-26 00:00:00
- Apply before 2027-03-01 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

Washington, D. C., United States

Disciplines

Data Science & Big Data Data Analytics View 396 other Masters in Data Analytics in United States

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Academic requirements

GPA

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

Completed online application
Resume or CV
Statement of purpose
Two letters of recommendation
Transcripts from previously attended institutions
Writing and Work Samples
English proficiency scores

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

81400 USD / year

≈ 81400 USD / year
Out-of-State

81400 USD / year

≈ 81400 USD / year
Domestic

Applies to you

In-State

81400 USD / year

≈ 81400 USD / year

Living costs

Washington, D. C.

United States

1705 - 2975 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.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Data Science and Analytics.

Available Scholarships

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

On this page

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

Washington, D. C.

Financing

Funding

Scholarships Information

Available Scholarships

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