QS Rank:

355

The George Washington University

District of Columbia
,United States

Program Rank

371

Program Name
Master of Science in Data Science

Deadline
October 01st, 2025
Overview

The Master of Science in Data Science program at The George Washington University is designed to equip students with the essential skills and knowledge necessary to thrive in the ever-evolving field of data analytics and science. This top-tier program emphasizes a rigorous curriculum that combines theoretical concepts with practical applications, ensuring that graduates are well-prepared to tackle real-world challenges. The program spans two years, offering a comprehensive education that includes core modules, specialized electives, and hands-on projects, culminating in a capstone experience that integrates learning with practical implementation.
Students in this program will delve into critical areas such as machine learning, statistical analysis, data mining, and data visualization. The coursework is enhanced by cutting-edge technologies and techniques, allowing students to develop a robust understanding of data management and algorithm development. Additionally, the program is structured to offer flexibility, with both Fall and Spring intakes available, making it accessible for a wide range of students from various academic and professional backgrounds.
The faculty expertise at the Columbian College of Arts and Sciences is another highlight of this program. Faculty members are not only accomplished scholars but also active researchers in the field of data science. They bring a wealth of knowledge and practical experience to the classroom, employing dynamic teaching methodologies that foster critical thinking, collaboration, and innovation. Students will have the opportunity to engage with faculty members on research projects, providing invaluable experience and mentorship that can enhance their academic and professional journeys.
Research opportunities abound at The George Washington University, with access to state-of-the-art laboratories and resources that facilitate advanced study in data science. Students can take advantage of various research centers and initiatives, collaborating on projects that address significant societal challenges through data-driven insights. This research-oriented environment encourages students to explore their interests deeply, providing them with the analytical skills necessary to conduct independent investigations and contribute to the field's advancement.
Moreover, the program maintains robust connections with industry leaders, enabling students to secure internships and job placements in some of the most prestigious organizations globally. These connections not only enrich the learning experience but also significantly enhance career prospects post-graduation. The curriculum is designed to align with industry needs, ensuring that graduates possess the skills and knowledge sought after by employers. With a median base salary of $110,000 reported for graduates, the program’s value is clear, highlighting its ability to prepare students for lucrative careers in a burgeoning industry.
In terms of career outcomes, graduates from the Master of Science in Data Science program can pursue roles such as Data Scientist, Data Engineer, Machine Learning Specialist, and Business Analyst. The program's comprehensive approach prepares students for diverse positions across various sectors, including technology, healthcare, finance, and government. Alumni success stories further underscore the program's efficacy, with many graduates securing prominent positions with leading companies, reflecting the program's strong reputation and the high demand for skilled data professionals.
As students consider their next steps, it's essential to understand the program's requirements and prerequisites. Applicants should hold a bachelor’s degree with a minimum GPA of 3.0 on a 4.0 scale. Additionally, applicants are expected to demonstrate proficiency in English through standardized tests such as the IELTS (minimum score of 6.0) or equivalent. Other application materials include a statement of purpose, resume, letters of recommendation, and transcripts, all of which are crucial for a successful application. The application fee is $80, and prospective students should adhere to the application deadlines to ensure timely consideration for admission.
Why Study Data Science at The George Washington University?
- A prestigious program consistently ranked among the best worldwide, ensuring a high-quality education.
- Access to renowned faculty with extensive research experience and a commitment to student success.
- Robust research opportunities, including state-of-the-art labs and collaboration on impactful projects.
- Strong industry connections that facilitate internships and job placements in leading organizations.
- Diverse community with a significant international student presence, enhancing the global perspective of the program.
- Flexible program structure with both full-time and part-time options available.
In conclusion, embarking on the journey to obtain a Master of Science in Data Science from The George Washington University not only sets the stage for a successful career but also empowers students to become leaders and innovators in a data-driven world. With a combination of rigorous academics, practical experience, and access to exceptional faculty and resources, students are well-equipped to make meaningful contributions to the field of data science. The future awaits those who dare to explore the world of data through this transformative program.

Total Tuition Fees
$60,000

Duration
24 Months

Median Salary
$1,10,000
Ranking
#247
US World and News Report
#187
The World University Rankings
#355
QS World University Rankings

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )
Class Profile

Class Size
20

Average Age
26

Average Work Experience
2 Years
Diversity
Others:
10%New York:
10%Pennsylvania:
5%District of Columbia:
40%Maryland:
20%Virginia:
15%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year

Graduation Rate
85%
Prospective Job Roles
Statistician
Data Engineer
Software Architect
Data Scientist
Business Analyst
Machine Learning Specialist
Data Architect
Business Intelligence Developer
International Business Analyst
Data analyst
Vital Statistics Data Analyst
Clinical Data Analyst
Geospatial Data Analyst
Top recruiters


















Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.
English Proficiency Tests
IELTS
6
PTE
53
TOEFL
80
DUOLINGO
110
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 80
Transcript
Passport
Statement of Purpose
Resume
IELTS
Academic LOR
Professional LOR
Application Deadlines
Early Action 1 | Standard Deadline | |
---|---|---|
Fall | Feb 1, 2025 | Apr 1, 2025 |
Spring | N/A | Oct 1, 2025 |
Fees and Funding

Tuition Fees
$30,000 / year

Overall Cost
$45,000 / year
FAQs
To have your official TOEFL scores reported to us, you must provide the Educational Testing Service (ETS) with the institutional code (5246) for GWU.
The Data Science at The George Washington University has 4 semesters.
No. This is not required as long as you have a statistics/probability course at the undergraduate level. Taking EMSE 6765 Data Analysis for Engineers and Scientists will also meet this need.
You must take at least 3 courses in the track you have selected – two are required and the third is any of your choice from that department.
An MS degree at The George Washington University can usually be completed in 2 years.
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