About Masters in Data Analytics in the USA
A lot of students choose to pursue their MS in Data Analytics in the USA and it’s easy to see why. Of the 70 top universities for this program, 19 are in the USA, according to the 2024 QS university rankings. Of those 19, 4 are in the top 10, and 11 are in the top 20 — which is no small feat.
A data analytics program can take various “tracks”—it’s not a cut-and-dried process. For instance, here are some programs that are considered data analytics degrees.
- MS in Marketing Analytics in the USA
- MS in Financial Analytics in the USA
- MS in Business Analytics in the USA
- MS in Healthcare Analytics in the USA
- MS in Big Data Analytics in the USA
Note: Most MS in Data Analytics programs in the USA are very specialized. This means the average salary for graduates is quite high at $85,000 to $90,000 for fresh graduates.
Lastly, doing an MS in Data Analytics in the USA is a popular choice for international students because of the STEM designation of the course. Under the OPT program, students who graduate from a STEM-designated course can work in the USA for up to 36 months after graduating. In the age where H-1 visas are becoming increasingly hard to get, this allows graduates to get invaluable work experience in the USA.
Top universities in the USA for an MS in Data Analytics
Below is the list of the 19 best universities in the USA for an MS in Data Analytics.
| Rank | University Name | Location | Department/School Full Name |
| 1 | Massachusetts Institute of Technology (MIT) | Cambridge, United States | MIT Sloan School of Management |
| 2 | Carnegie Mellon University | Pittsburgh, United States | Heinz College of Information Systems and Public Policy |
| 3 | University of California, Berkeley (UCB) | Berkeley, United States | UC Berkeley School of Information |
| 5 | Harvard University | Cambridge, United States | Harvard Business School |
| 12 | University of Washington | Seattle, United States | University of Washington Information School |
| 13 | Georgia Institute of Technology | Atlanta, United States | Georgia Tech College of Computing |
| 14 | The University of Illinois — Urbana-Champaign | Champaign, United States | School of Information Sciences, University of Illinois at Urbana-Champaign |
| 15 | Princeton University | Princeton, United States | Department of Operations Research and Financial Engineering, Princeton University |
| 16 | Cornell University | Ithaca, United States | Cornell SC Johnson College of Business |
| 17 | New York University (NYU) | New York City, United States | NYU Stern School of Business |
| 20 | University of Pennsylvania | Philadelphia, United States | The Wharton School of the University of Pennsylvania |
| 21 | California Institute of Technology (Caltech) | Pasadena, United States | Division of Engineering and Applied Science, California Institute of Technology |
| 27 | Johns Hopkins University | Baltimore, United States | Johns Hopkins Carey Business School |
| 31 | University of California, San Diego (UCSD) | San Diego, United States | Halıcıoğlu Data Science Institute, University of California, San Diego |
| 33 | University of Maryland, College Park | College Park, United States | College of Information Studies, University of Maryland |
| 35 | University of Chicago | Chicago, United States | The University of Chicago Booth School of Business |
| 51-70 | Brown University | Providence, United States | Data Science Initiative, Brown University |
| 51-70 | Michigan State University | East Lansing, United States | Eli Broad College of Business, Michigan State University |
| 51-70 | Pennsylvania State University | University Park, United States | Smeal College of Business, Pennsylvania State University |
Course curriculum for MS in Data Analytics in the USA
The course curriculum will depend on your specialization and will also differ from university to university. However, here is a general idea of what you can expect to study:
| Curriculum Components | Skills Acquired | Typical Courses |
| Programming and Data Science Tools | Mastery of programming languages like Python and R | Programming for Data Science, Tools for Data Analysis |
| Statistical and Quantitative Analysis | Capability to analyze and interpret large datasets | Quantitative Methods, Foundations of Data Analysis |
| Machine Learning and Advanced Analytics | Developing predictive models and algorithms | Machine Learning, Advanced Data Analysis |
| Data Management and Big Data Technologies | Expertise in handling and managing large datasets | Data Management, Big Data Technologies |
| Business and Data Strategy | Using data insights for business decision-making | Business Analytics, Applied Data Strategies |
| Visualization and Communication | Effectively presenting data-driven insights | Visual Analytics, Data Presentation Techniques |
| Ethics and Data Governance | Ensuring ethical use and governance of data | Ethics in Data, Data Governance Principles |
| Capstone Project or Internship | Applying academic knowledge in practical scenarios | Capstone Project, Professional Internship |
Eligibility for studying an MS in Data Analytics in the USA
In general, here is what universities offering an MS in Data Analytics in the USA look for.
- Bachelor’s Degree
A bachelor’s degree from an accredited institution is required. Fields that emphasize quantitative skills, such as computer science, engineering, or economics, are particularly beneficial.
- Prerequisite Courses
You should have completed courses in areas like Statistics, Linear Algebra, Multivariable Calculus, and Probability. These subjects provide the necessary foundation for the advanced analytical coursework in the program.
- Programming Skills
Proficiency in programming languages such as Python, R, SQL, or Java is essential. Familiarity with additional languages like C++ can also be advantageous, particularly for data-intensive tasks.
- English Language Proficiency
If English is not your first language, you’ll likely need to demonstrate proficiency through TOEFL or IELTS scores. Some programs may waive this requirement if you have completed a four-year degree in English.
- Letters of Recommendation (LOR)
At least one letter of recommendation is typically required, though two are often preferred. These can come from professional settings or academic mentors.
- Statement of Purpose (SOP)
An SOP is also required, outlining your academic and professional background, future goals, and why you are a good fit for the program.
- Work or Research Experience
While not always mandatory, having related work or research experience in a quantitative field can significantly enhance your application.
As long as you meet these basic entry requirements, you should have no trouble getting into an MS in Data Analytics in the USA.
Note: Navigating the university application process can be daunting. SelectRight offers personalized assistance to simplify this journey. Begin by setting up your profile and detailing your preferences. The AI suggests programs tailored to you, which you can then compare on numerous criteria. At each step, receive unbiased advice from an expert, ensuring you make the best choices. Whether you’re considering costs, rankings, or specific program details, SelectRight supports you throughout the process.
GMAT/ GRE requirements for studying MS Data Analytics in the USA
To begin with, most universities don’t need your GRE or GMAT scores to apply. This is because most people who are considering an MS in Data Analytics in the USA are from quantitative backgrounds like finance, healthcare, and tech. So, it is possible to study an MS in Data Analytics in the USA without GRE or GMAT scores as part of your application.
Generally, admissions committees look at the overall profile of a candidate. This holistic approach means that your academic background, work experience, letters of recommendation, and personal statement all play crucial roles in your application. If a university offers different “tracks” within its data analytics program, and you do not qualify for your preferred track, they might offer you a spot in a different track rather than rejecting your application outright.
Scholarships to study an MS in Data Analytics in the USA
Several “general” scholarships are open to Indian students who want to pursue their Master’s in Data Analytics in the USA. A few examples of these are given below.
| Source | Scholarship Type | Details |
| Inlaks Shivdasani Foundation | Overseas Scholarships | Provides scholarships to young Indians for full-time Master’s, MPhil, or Doctorate programs at top global institutions. |
| J. N. Tata Endowment | Loan Scholarships | Offers loan scholarships for Indian students pursuing postgraduate studies abroad. |
| Tata Trusts | Merit and Need-Based | Supports Indian students with scholarships for higher education both in India and internationally. |
| Government of India | Various | Offers a range of scholarships through various ministries and bodies for Indian students studying abroad. |
| British Council | GREAT Scholarships | Collaborates with UK universities to offer scholarships to Indian students for postgraduate courses in the UK. |
| Aga Khan Foundation | General purpose (sometimes needs to be paid back) | Provides loans, scholarships, and bursaries each year for PG studies to outstanding students from developing countries. |
| Fulbright-Nehru Fellowships | Merit-Based | Offers opportunities for Indian students to study, research, and teach in the United States. |
With that said, these scholarships have lakhs of applicants for just a few hundred places. Luckily though, the vast majority of the USA universities have funding programs of their own for international students. Examples of these scholarship/aid programs are given below.
| University | Type of Financial Support | Details |
| Harvard University | Fellowships and Financial Aid | Offers a range of fellowships and financial aid packages, often based on merit and financial need. Students can find more information through the university’s financial aid office. |
| Carnegie Mellon College of Engineering | Fellowships, Assistantships, and Work-Study | Provides full tuition fellowships, research or teaching assistantships, and federal work-study options. These support options are specific to each department and cater to both Master’s and Ph.D. students. |
| MIT Sloan | Fellowships and Assistantships | Awards fellowships and assistantships based on academic excellence and professional potential. All admitted students are automatically considered for these without needing a separate application. |
| Princeton University | Fellowships and Assistantships | Provides generous financial support through fellowships and assistantships that cover tuition and offerstipends. All graduate students are considered for these funding opportunities upon admission. |
| University of Washington | Fellowships, Assistantships, and Financial Aid | Offers a variety of funding options including fellowships, teaching and research assistantships, and other financial aid resources. Specific options are available for qualified applicants within each department. |
| University of California, Berkeley | Scholarships, Fellowships, and Assistantships | Provides a variety of scholarships, fellowships, and assistantships based on merit and financial need. Students should consult the financial aid office for detailed information. |
| New York University (NYU) | Scholarships and Financial Aid | Offers merit-based scholarships and need-based financial aid packages. Detailed information can be obtained from the university’s financial aid office. |
Note: While scholarships can help, they often don’t cover all expenses. FundRight offers a solution by providing access to competitive loan offers. By creating a free profile, you can receive offers from 15 top lenders. Since these lenders know they are competing, you get the best possible terms. Upload your documents securely online and receive your loan disbursement efficiently. With FundRight, securing an education loan is hassle-free and cost-effective.
Note that most international students choose to work part-time during their MS in Data Analytics in the USA This allows them to reduce the financial burden of pursuing this program.
Career scope of MS in Data Analytics in the USA
As organizations increasingly recognize the value of data-driven decision-making, the need for professionals with expertise in data analytics has grown significantly.
Graduates with an MS in Data Analytics from the USA are highly sought after for their ability to interpret complex data sets, derive actionable insights, and drive business strategies. This demand is reflected in the diverse range of industries that actively recruit data analytics professionals.
- Finance
Financial institutions such as banks, NBFCs, and investment firms are among the biggest employers of data analysts. Here, data analysts help manage risks, detect and avoid fraud, and understand consumer behavior.
- Technology Sector
In the tech industry, data analysts play a crucial role in product development, user experience enhancement, and operational improvements. They analyze data to refine software solutions, streamline processes, and develop new technologies that meet user needs.
- Healthcare
Data analysts in the healthcare sector manage and interpret data to improve patient outcomes, streamline hospital operations, and contribute to public health research. Their work is vital for projects aimed at enhancing healthcare delivery and patient care.
- Retail
Retail companies employ data analysts to get insights into customer behavior, optimize inventory levels, and improve the overall shopping experience. Analysts in this sector help predict trends, plan marketing strategies, and boost sales performance.
- Consulting
Consulting firms also offer numerous opportunities for data analysts. These professionals provide expert advice to various industries on using data for business growth and operational efficiency. They help organizations implement data-driven strategies to solve complex problems.
So, with the growing demand for data analytics skills and the extensive range of industries seeking these professionals, graduates of an MS in Data Analytics program have a bright career outlook.
Top recruiters for an MS in Data Analytics in the USA
Finance
- American Express
- Citibank
- Goldman Sachs
Technology and E-commerce
- Microsoft
- IBM
- Amazon
- Alibaba
Healthcare
- Kaiser Permanente
- Mayo Clinic
- Merck
Retail
- Walmart
- Target
- Nordstrom
Consulting
- Deloitte
- PwC
- Accenture
Other Sectors
- Telecommunications companies
- Government agencies
- Non-profit organizations
Job prospects & Salaries offered after studying an MS in Data Analytics in the USA
Here is the data we compiled during our research, about the top job roles and salaries after an MS in Data Analytics in the USA. All salaries have been sourced from Glassdoor, and are for fresh graduates.
| Job Title | Average Salary (USD) |
| Data Analyst | 65,000 |
| Data Scientist | 95,000 |
| Business Intelligence Analyst | 70,000 |
| Machine Learning Engineer | 110,000 |
| Data Engineer | 92,000 |
| Quantitative Analyst | 115,000 |
| Analytics Manager | 105,000 |
| Big Data Engineer | 120,000 |
| Marketing Analyst | 60,000 |
| Operations Analyst | 68,000 |
| Overall Average | 90,000 |
Please remember that a lot of the people who enter these programs have 2-3 years of prior experience. With those few years of experience, you could easily cross into six-figure territory after your MS in Data Analytics in the USA.
Frequently asked questions
- What is the duration of an MS in Data Analytics program in the USA?
Most MS in Data Analytics programs in the USA typically take 12 to 24 months to complete, depending on the university and whether you are studying full-time or part-time.
- How important are internships during the MS in Data Analytics program?
Internships are highly valuable as they provide hands-on experience, enhance your resume, and can lead to job offers post-graduation. Many programs include internships as a part of the curriculum.
- What are some key software tools and technologies taught in an MS in Data Analytics program?
Students typically learn tools and technologies such as Python, R, SQL, Tableau, Hadoop, Spark, and various machine-learning libraries and frameworks.
- What are the prospects for PhD programs after completing an MS in Data Analytics?
Graduates of an MS in Data Analytics program can pursue PhD programs in related fields such as Data Science, Computer Science, or Business Analytics. Having a strong research background and relevant project experience during the MS program can be advantageous for PhD admissions.
