logo
  • uni logo

QS Rank:

verified

355

uni logo

The George Washington University

flag

District of Columbia

United States

icon

Program Rank

tooltip

371

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.

intake

Total Tuition Fees

$60,000

intake

Duration

24 Months

intake

Median Salary

$1,10,000

Ranking

icon

#247

US World and News Report

icon

#187

The World University Rankings

icon

#355

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

intake

Intake

Spring ( Apr - June )

Class Profile

intake

Class Size

20

intake

Average Age

26

intake

Average Work Experience

2 Years

Diversity

Others:

10%

New York:

10%

Pennsylvania:

5%

District of Columbia:

40%

Maryland:

20%

Virginia:

15%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

intake

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

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 / 4 undergraduate GPA is expected.

intake

At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6

    tooltip
  • PTE

    53

    tooltip
  • TOEFL

    80

    tooltip
  • DUOLINGO

    110

    tooltip

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.

intake

Application Fee: 80

  • intake

    Transcript

  • intake

    Passport

  • intake

    Statement of Purpose

  • intake

    Resume

  • intake

    IELTS

  • intake

    Academic LOR

  • intake

    Professional LOR

Application Deadlines

Early Action 1Standard Deadline
FallFeb 1, 2025Apr 1, 2025
SpringN/AOct 1, 2025

Fees and Funding

intake

Tuition Fees

$30,000 / year

intake

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.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon