Eligibility Requirements for George Washington University MSc in Data Science

For George Washington university MS in data science, If you're a student from another country and want to apply for a graduate program here, you need to do the same things and give us the same information as other students. But, there are a few extra steps you need to take. It's important to know that we usually don't accept international students application requirements for our summer classes.

English Language Minimum Scores Academic IELTS:an overall band score of 6.0 with no individual score below 5.0.
TOEFL: 550 on paper-based or 80 on Internet-based test.
PTE: 53
Academic Transcripts You must submit a transcript, detailed marks certificate or comparable document that shows all course work, grades and proof of earned degrees from each institution you’ve attended. 
Entrance Tests Take standardized tests early enough to ensure that scores reach the admissions office before the application deadline.
Application fee The $80 non-refundable application fee must be paid in U.S. dollars, by credit card (online only), international money order or check.
Photocopies Include a photocopy of the biographic/identification page of your passport with your application
Visa Application Submit your visa information with your application to expedite that portion of the process
Statement of Purpose Use your statement of purpose as an opportunity to tell us about personal and professional interests and goals, and how your background makes you a good fit for a graduate program at GW.
Recommendations The number and type of recommendations you are required to submit depends on the program you are applying to. 
Standardized Test Scores Some graduate programs require standardized test scores, such as the Graduate Record Examination (GRE) or the Graduate Management Admissions Test (GMAT). 
Additional Materials Résumés, proof of specialized certification, writing samples or other supporting documents may be required by your program of interest.

Program Eligibility URL:https://graduate.admissions.gwu.edu/application-requirements

George Washington University MSc in Data Science Class Profile

George Washington University (GW) is thrilled to have around 3,500 students from other countries. These students come from six continents and more than 120 countries, making our campus wonderfully diverse. They truly value the rich variety of backgrounds and the important role international students play in making GW great. Just like students from the U.S., their international students are a big part of campus life and can also get different types of scholarships based on their talents and achievements.

Class Profile URL: https://graduate.admissions.gwu.edu/international-students

George Washington University MSc in Data Science Rankings

About George Washington University

Situated at the epicentre of Washington, D.C., George Washington University (GWU) is a fusion of academic distinction and cultural richness. With a broad spectrum of undergraduate and graduate programs in various disciplines, George Washington university MS in data science pursues the holistic development of its students by offering a colorful academic experience against the bustling backdrop of an urban setting.

The urban location of GWU's campus isn't just aesthetically enriching but functions as a gateway to a multitude of exclusive internship opportunities, social networking, and unique cultural experiences. These offerings, combined with a faculty comprising renowned scholars and professionals, culminate into a value-added educational journey.

At GWU, there's a strong focus on experiential learning and cultivating a global outlook among students. This ethos is aimed at morphing students into future leaders ready to drive positive societal transformations. Enrolling at George Washington University is comparable to embarking on an education-filled adventure in one of the globe's most inspiring cities. 

MS in Data Science Program Description

George Washington University MS in Data Science presents a wonderful fusion of statistics, computer science, and mathematics. Imagine plunging into the world of data mining, extracting knowledge from vast entities of data collected from many diverse fields. The real-world partnerships and collaborations provided as part of this program truly enrich the hands-on experience.

On campus, you'd be honing your expertise on data analysis tools and visualization techniques, unraveling mysteries behind complex concepts like machine learning and pattern recognition. The university's curriculum stresses upon key programming languages such as Python, R, and JavaScript. So, as a graduate, you'll walk out as an expert in manipulating these sought-after tools.

The program’s core focus stretches across a range of domains — methods, applications, skills, and technology. This gives you a well-rounded basis in data management, analytics, and how to use visualization software effectively. In essence, the MS in Data Science at GWU arms you with cutting-edge skills and knowledge, making you ready to tackle real-world data challenges.

Program URL:https://datasci.columbian.gwu.edu/ms-data-science

George Washington University MSc in Data Science Program Curriculum

Program Curriculum URL:https://datasci.columbian.gwu.edu/ms-data-science

  • 12 credits in elective courses in DATS numbered 6000 or above


  • 12 credits in elective courses in DATS numbered 6000 or above
  • Introduction to Data Science
  • Data Warehousing
  • Introduction to Data Mining
  • Data Science Capstone
  • Machine Learning I: Algorithm Analysis
  • Visualization of Complex Data

If you're planning to pursue an MS in Data Science from George Washington University (GWU), it's not just about the world-class education. You'll also be stepping into a vibrant club and association scene, a melting pot of opportunities to broaden your horizons, both personally and professionally. Let's focus on some of the key clubs that invite you to stretch your boundaries:

  1. GW DATA Club: It is a thriving student body dedicated to the dynamic realm of data. It organizes diverse events such as workshops, hackathons, and networking sessions - perfect to deepen your understanding of analytics, boost your proficiency and strike enriching conversations with industry experts.
  2. Student Organizations at GWU: There are a myriad of student bodies at George Washington University encompassing an array of interests, and as you'd expect, data science is well represented. These organizations not only bring you intriguing projects to work hands-on but also offer opportunities to work collectively and explore your interest areas more in-depth.

Beyond its robust academic realm, George Washington university MS in data science fosters a dynamic and vibrant extracurricular ecosystem that extends from sports to health and wellness programs. Here are detailed insights into some of these engaging initiatives that serve as a gateway to holistic development, camaraderie, and elevated well-being for the students.

  • Intramural Sports: Talk about basketball, soccer, volleyball, or flag football, GWU boasts a wide spectrum of sports activities, sparking an environment that encourages friendly competition and healthy living. These sports not only act as an endeavor to instill fitness but also serve as a perfect stress-buster.
  • Club Sports: These student-led ventures cater to specific sports interests, such as basketball, soccer, and ultimate frisbee. By participating in these clubs, students have the golden opportunity to represent GWU in various leagues and tournaments. A sense of team spirit and unity is celebrated here, adding another dimension to the quintessential university life.
  • Health and Wellness Programs: An array of resources such as state-of-the-art fitness centres, rejuvenating yoga classes, and practical wellness workshops find their place on GWU's campus. These resources work as catalysts in achieving an active and healthy lifestyle, assisting students in gracefully managing stress and ensuring their overall well-being during their time at GWU.


George Washington University MSc in Data Science Acceptance Rate

The George Washington University MS in Data Science has an acceptance rate of 49%

George Washington University MSc in Data Science Fee Structure

Planning to pursue a George Washington university MS in data science? Understanding the fee structure is key to your financial readiness. The fee structure for the program holds valuable insights that can shape your financial planning and decision-making process. Let's delve into the details, ensuring you're equipped to navigate the financial aspect of your academic journey seamlessly.

Fee Type Amount (USD)
Tuition Fees $62,250
Application Fee $80
Matriculation Fee $495
Student Association Fee (per credit, max per semester) $3 per credit ($45 max)

Application Documents for George Washington University MSc in Data Science

Résumés, proof of specialized certification, writing samples or other supporting documents may be required by your program of interest. Check your program requirements on given above school page website to see what other documents are required. These materials should be uploaded to your online application. International students also have additional requirements to complete.

Mandatory Application Documents

  • College Transcript

  • Graduation/Provisional Certificate


    Program Application URL:https://graduate.admissions.gwu.edu/international-student-application-requirements

    George Washington University MSc in Data Science Deadlines

    George Washington University MSc in Data Science Admission Process

    This general overview of the application process will help you prepare.

    • Select Your Program of Interest: The most important step in the process is to choose a program that is right for you.
    • Assemble Your Supporting Documents: The specific documents you are required to submit depend on the program you are applying to but you can review a general list of application requirements. The number of recommendations or topic for your statement of purpose for example, may vary by program.
    • Submit Your Completed Application: Once you’ve completed the application and uploaded all supporting documentation, submit your application through the University Graduate Application Center. International applicants should also upload their visa request form and supporting financial certification.  
      When you submit, you also have to pay the non-refundable $80 application fee either online (credit cards are accepted), by check or by money order.
    • Review Your Admission Status: You can check the status of your application at any time through the University Graduate Application Center. Most ofthe programs use a rolling admissions process and evaluate applications as soon as they are complete.

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    Employment Overview for George Washington University MS in Data Science

    If you're an Indian student with a passion for data science and dreams of studying abroad, the George Washington University MS in Data Science program is a path worth considering. Not only does this program offer an enriching academic experience, but it also prepares students for a prospective future in a diverse and lucrative field.

    Let's dive deeper into the employment scenario that awaits graduates of GWU's MS in Data Science program:

    Job Prospect Diversity

    Once equipped with a degree from GWU, you can dive into a variety of roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Engineer. With an array of industries from tech to finance, healthcare, and consulting, the career opportunities are vast and varied.

    Attractive Compensation

    GWU Data Science graduates can expect salary packages ranging from $80,000 to $120,000 per year, depending on their expertise and employment history. This indeed underscores the high regard and value held for GWU's graduates in the job market.

    Career Services & Support

    Progressing from academics to the professional realm isn't always smooth. GWU offers comprehensive career services through Handshake, which facilitates access to job opportunities, internships, and on-campus recruitment events, smoothing the transition for students.

    High Demand

    There's a noticeably high demand for data scientists at George Washington University, reaffirming the strength of the program. Their graduates benefit from an interactive curriculum, numerous research opportunities, and an eminent faculty, ensuring they're ready to take on the professional world competently.


    Average Starting Salary

    George Washington University MSc in Data Science Employment Statistics

    George Washington University MS in Data Science program provides a pathway to lucrative job prospects in the rapidly evolving field of data science. Let's look at the typical earnings for different career roles to get a sense of the earning potential and employment opportunities for alumni of this prestigious program.

    Job Role Average Salary (per year)
    Data Scientist $82,000
    Data Analyst $69,212
    Machine Learning Engineer $125,000
    Business Intelligence Analyst $95,000
    Data Engineer $110,000

    These salary figures underscore the competitive compensation packages available to graduates of the MS in Data Science program at George Washington University across a spectrum of job roles. Whether you aspire to become a data scientist, data analyst, machine learning engineer, business intelligence analyst, or data engineer, this program equips you with the skills and knowledge necessary to excel in the field.

    Companies Recruiting George Washington University MSc in Data Science Graduates

    • Amazon Web Services (AWS)
    • Google
    • Microsoft
    • Facebook
    • Apple
    • IBM
    • Oracle
    • Nvidia
    • Adobe
    • Salesforce

    Employment Overview URL: https://datasci.columbian.gwu.edu/career-services

    George Washington University MSc in Data Science Alumni Info

    Alumni Name Position
    Varsha Waingankar Software Development Manager in Data Science

    Letter of Recommendation for George Washington University MSc in Data Science

    Letters of Recommendation (LORs) are an essential component of your application to the MS in Data Science at George Washington University. They provide the admissions committee with insights into your academic and professional achievements, as well as your character and potential for success in the program.

    Here are some key points to consider when obtaining LORs for the MS in Data Science at GWU:

    Number of LORs

    The George Washington university MS in data science program typically requires two letters of recommendation.


    Choose recommenders who can attest to your academic and professional achievements, as well as your potential for success in the program. Ideal recommenders include professors, employers, or mentors who have worked closely with you.

    Content of LORs

    LORs should highlight your academic and professional achievements, as well as your character, work ethic, and potential for success in the program. They should also address why you are a strong candidate for the MS in Data Science program at GWU.


    Start the process of obtaining LORs well in advance of the application deadline. Give your recommenders ample time to write and submit their letters.


    LORs should be submitted directly by your recommenders to the George Washington University Data Science program. Follow the specific instructions provided by the program for submission of LORs.

    By carefully selecting your recommenders and providing them with the necessary information, you can obtain strong LORs that will support your application to the MS in Data Science program at George Washington University.


    Statement of Purpose for George Washington University MSc in Data Science

    The Statement of Purpose (SOP) is a crucial component of your application to the George Washington university MS in data science program. It provides the admissions committee with insights into your motivation, goals, and qualifications for the program.

    Here are some key points to consider when crafting your SOP:


    Begin your SOP by introducing yourself and providing a brief overview of your academic background and professional experience.


    Explain your motivation for pursuing the MS in Data Science program, highlighting your interest in the field and your desire to contribute to the field of data science.


    Clearly state your short-term and long-term goals, including the specific areas of data science that interest you and the impact you hope to make in the field.


    Discuss your relevant academic and professional experiences that have prepared you for the MS in Data Science program at GWU.

    Research Interests

    If applicable, mention any research experiences or projects you have been involved in that are related to data science.

    Career Objectives

    Outline your career objectives and how you believe the MS in Data Science program will help you achieve them.


    Summarize your SOP by reiterating your motivation, goals, and qualifications for the program, emphasizing your commitment to the field of data science.

    By carefully crafting your SOP, you can effectively communicate your passion for data science and demonstrate your readiness for the MS in Data Science program at George Washington University.

    George Washington University MS in Data Science Scholarships available for International Students

    Are you a student eyeing an MS in Data Science abroad? George Washington University MS in Data Science (GWU) offers a plethora of scholarship opportunities tailored just for you. Here's a quick look at how you can fund your dream education:

    • International Scholarship Program
    • Financial Aid and Scholarships
    • Data Science Program Scholarships

    By tapping into these scholarship opportunities, Indian students can turn their aspirations into achievements at GWU. Say goodbye to financial worries and hello to a world of possibilities in data science.

    What makes George Washington unique?

    George Washington University MS in Data Science program offers a unique blend of interdisciplinary education, hands-on research opportunities, world-class faculty, and an innovative curriculum. Let's uncover what makes this program stand out in the realm of data science education.

    Interdisciplinary Excellence

    At George Washington University, data science isn't constrained to a single area. Its appeal lies in its spread across diverse fields, straddling both hard and social sciences. This interconnected learning model fosters well-rounded minds ready to navigate the complex landscape of a data-centric world.

    Enthralling Research Opportunities

    George Washinton University MS in Data Science opens a myriad of research doorways for students. Students can delve into the fascinating realm of pioneering projects and secure firsthand experience in practical data science applications. Be it data analysis or predictive modelling, GWU offers boundless possibilities for investigation.

    Esteemed Faculty

    The faculty at GWU sets it apart. The program boasts a group of devoted mentors, celebrated scholars, and professionals at the cutting edge of data science research and innovation. Their guidance is invaluable for students stepping into the realm of data science.

    Ingenious Curriculum

    Beyond traditional lecturing, the George Washington University MS in Data Science curriculum offers an engaging and interactive platform for learning. It fosters a blend of teamwork and hands-on learning within its dynamic educational experience. Simply put, it is designed to arm students with the skills and knowledge required to thrive in the ever-changing field of data science.

    George Washington University MSc in Data Science Contact Information

    Whom should I contact in case of any doubts?

    Contact No: 202-994-6302

    Email: datasci@gwu.edu

    Address: Corcoran Hall 725 21st St. NW, Room 426 Washington, D.C. 20052

    Photos & Videos of George Washington University MSc in Data Science

    George Washington University Master of Science - MSc

    Conclusion: Should you apply to George Washington University MSc in Data Science?

    In conclusion, applying to George Washington University MS in Data Science program is a smart move for anyone passionate about pursuing a career in this thriving field. With a robust curriculum covering key areas like machine learning and data analysis, alongside opportunities for practical experience and research, students are well-prepared for success. Plus, George Washington University's stellar reputation and supportive environment ensure students have the resources they need to excel. So, if you're ready to dive into the world of data science, George Washington University is the place to be.

    Ask a Question

    Have Queries about George Washington University?

    Get Answers from Alums

    Is Master's in Management at George Washington University STEM accredited?

    Hey, Yes, of course, it is a good option!

    The Master of Science in Management program can be completed in one year of full-time study — part-time options are available as well — and you can choose to study online, on-campus, or in a hybrid format. The degree is also eligible to be combined with some GWSB’s undergraduate degree programs in the 4+1 Program, allowing you to earn a bachelor’s and a master’s in five years.


    Bachelor’s degree from a regionally accredited college or university
    Strong academic performance
    Demonstrated professional interest in management.

    To be considered complete, the following must be included in the application:

    Completed online application form
    Application fee (non-refundable)
    Current résumé uploaded through the online application system
    One letter of recommendation from a professional and/or academic reference
    Statement of Purpose: In no more than 500 words, describe how this program fits into your professional life and your career objectives.

    Let me know if you have any more questions!

    What are the study/exam requirements to get into the top 20 universities of the USA for Masters?

    The United States (US) is one of the top locations for pursuing a Master's (MS) diploma abroad. The USA now not only presents multiple MS specializations to pick out from, but the US additionally demonstrates educational excellence, massive global pupil support, a large range of academic selections and a flexible curriculum that provides hands-on education to college students going to the US to pursue their Master's studies.

    Home to some of the pinnacle universities, the US is considered one of the quality nations to pursue MS studies. Along with the reality that there is already a robust Indian community that prospers in the country.

    In this section, we will discuss the common fee of studying MS in the US and the fee of living in the US for global students. The common first-year price of reading MS in the USA is INR 23 lakhs. The typical cost of living in the USA for one year is INR nine lakhs. The living fee would be a problem to increase/decrease depending on the way of life and favoured lodging of the candidate. 

    Student Visa 
    There are three sorts of US student visas: F1 Visa, J1 Visa, and M1 Visa are three exclusive types of US pupil visas. The application fee for a study visa in the US is $160.

    Eligibility Criteria

    • Candidates searching to pursue MS guides in the USA are required to fulfil these main requirements:
    • The candidate needs to have 3 to four years of a bachelor's degree in the relevant subject with a common GPA of 3 or 65 – 70% and above.
    • Proof of English-language talent exams such as IELTS or TOEFL
    • GRE rating that is 290 or above
    • Statement of Purpose
    • Two to three letters of recommendation
    • Research/internships initiatives (optional)

    Work Permit 
    Many candidates are left wondering about continuing to be again in the US after completing their Master's (MS). International students who desire to remain in the US after finishing their degree have the option to do so via OPT. Transient employment permission permits college students to attain a realistic journey in their discipline of study for 12 months. 

    Some of the named universities are as follows:- 

    1. Massachusetts Institute of Technology (MIT)
    2. Stanford University
    3. Harvard University
    4. California Institute of Technology (Caltech)
    5. University of Chicago

    So, the conclusion here lies that the candidate must have 3 to four years of a bachelor's degree in the relevant discipline with an average GPA of 3 or sixty-five – 70% and above. Proof of English-language skill ability checks such as IELTS or TOEFL. GRE rating that is 290 or above. Statement of Purpose.

    Where should I do my masters?(USA or UK or Australia) I am also confused between this three programs that are Masters in entrepreneurship, Masters in international business , Masters in finance.?

     Hey, Finance has grown to be one of the most popular and profitable industries, with high growth potential and numerous career opportunities. As finance becomes an increasingly important skill to master, several universities offer major and minor courses in the subject. Masters of Finance or MS in Finance programmes in the United States last 10 to 24 months. It is a popular path for international students who want to work in finance. 

    The programme is designed to prepare graduates for positions in corporate finance, financial institutions, investment banking, risk management, capital markets, financial modelling, behavioural finance, econometrics, investment management, and other areas of finance. According to QS Top Universities, 66 universities in the United States offer an MS in Finance. It is a more cost-effective and time-efficient way for students to enter the workforce as finance professionals. Unlike an MBA, an MS in Finance in the United States does not generally require work experience for admission and focuses on financial planning and risk management. 

    The Financial Planning & Advice industry has a market size of $52.9 billion in revenue in 2021. In 2021, it is expected to rise by 3.5%. It has grown 2.1% per year on average over the last five years, from 2016 to 2021. The county has emerged as a great study abroad destination for international students due to its academic excellence. In 2019-20, approximately 1.1 million international students attended university in the United States. If you have any further questions just ask me.


    I am planning to do MS in Artificial Intelligence from Ireland. I don't have working experience, but I have built projects in Data Science. Would I be able to land a job after completing my MS?

    International students can enrol in Ireland's one-year postgraduate master's degree in artificial intelligence either full-time or part-time. Typically, it is far less expensive than in other European nations. The cost of attending an Irish university to complete the program is between 13,000 and 24,000 euros. This may amount to 21.88 lakhs Indian rupees for a student.

    Best Universities in Ireland for Masters Degrees in Artificial Intelligence
    Below are some of the best Irish universities that offer master's degrees in artificial intelligence or courses related to it:

    University of Limerick    
    Fees (Euro/year): 13,750

    National University of Ireland    
    Fees (Euro/year): 23,750

    University College Dublin    
    Fees (Euro/year): 24,200

    Cork Institute of Technology
    Fees (Euro/year): 12,000

    Trinity College Dublin
    Fees (Euro/year): 24,699

    Dublin City University    
    Fees (Euro/year): 17,000

    Athlone Institute of Technology
    Fees (Euro/year): 12,000

    Letterkenny Institute of Technology    
    Fees (Euro/year): 10,000

    Dublin Business School
    Fees (Euro/year): 13,500

    The following are the essential requirements for admission to Ireland's master's programs in artificial intelligence:

    Possess a four-year undergraduate degree in a comparable field, such as computer science, computer engineering, or software engineering.
    Many universities now accept bachelor's degrees earned in three years.
    You must be skilled in sophisticated mathematics and statistics.
    Possess a proficient level of coding in one or more contemporary high-level programming languages, such as Python, C++, or Java.

    Admission requirements for a master's program in artificial intelligence in Ireland

    • CV score for TOEFL and IELTS
    • A pair of resumé letters
    • transcripts from colleges and universities, as well as records of past schooling
    • Your statement will explain your first degree and how it relates to getting your master's.
    • A summary of the contributions made to earlier capstone projects.
    • Current technical expertise and knowledge.
    • A strategy based on data to emphasise your academic accomplishments.
    • A photocopied passport

    There are many occupations in AI, each needing an extra level of competence. Data architects, software engineers, deep learning and machine learning engineers are primary industry jobs. Advanced positions include research engineers in AI architecture, language and voice, and computer vision.

    In Ireland, the average yearly wage for AI specialists is 48,600 euros. However, the amount of money you can earn with an AI degree depends on a wide range of factors. These consist of the recruiter you work for, where you live, the jobs you have been offered, and more.

    As a civil engineer, is it worth doing an MS from the US, which is a developed country?Will we get a job after doing an MS there?


    If you are worried about jobs in the USA after doing an MS, I assure you that you got covered here. Not just in the core civil engineering industry but the relevant sectors like mechanical, computational, transport etc. are all well set in the USA. And I think I don't need to remind you that the best universities for MS in civil engineering are primarily located in the country as well.

    For example, UC Berkeley, Illinois at Urbana-Champaign and Carnegie Mellon are the top names for civil engineering MS degrees in the world. The only reason I can see a country like the UK instead of the USA is for a research-based career. Judging by your question, I don’t think that is what you want, instead your major concern is jobs in the USA.

    As you said, the USA is a developed country. This means that even if there is a drop in the job market there will be development opportunities. Jobs in engineering fields are constantly in demand because of its usage in everyday operation. Take structural engineering as an example. If there is no need to build a new department at some institute, there will be pre-existing buildings that can be redesigned.

    Regarding the actual numbers, in the USA the employment of civil engineers is projected to grow 8% from 2020 to 2030. This data is specifically for civil engineering and not combined sectors in engineering. It is more than enough to grant you jobs after you do a civil engineering MS from the country. The job market and industry in the USA are always growing.

    One more reason why I am sure that it is a good decision is because universities like MIT and Stanford. If you can make your way into such universities for civil engineering, a job guarantee will be definitely not just in the USA but anywhere. These two universities are like the top 2 universities globally. Every major ranking organization either put MIT or Stanford on #1 spot, and the other one at #2.

    Compared to any other country, the economy of the USA is most significant. Finding a job in civil engineering with a good MS will be very optimal in the country. I suggest you start working on your profile to get into top civil engineering universities there. If you need any help with that, you can ask me. Here we help students to start their masters in abroad countries like the USA, UK, Canada, Australia and more.

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