Masters in Data Analytics in USA: Top Universities, Syllabus, Salary, Career Path

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Picture of Shivani Mani

Shivani Mani

Lead, Student Success - FundRight

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.

 

RankUniversity NameLocationDepartment/School Full Name
1Massachusetts Institute of Technology (MIT)Cambridge, United StatesMIT Sloan School of Management
2Carnegie Mellon UniversityPittsburgh, United StatesHeinz College of Information Systems and Public Policy
3University of California, Berkeley (UCB)Berkeley, United StatesUC Berkeley School of Information
5Harvard UniversityCambridge, United StatesHarvard Business School
12University of WashingtonSeattle, United StatesUniversity of Washington Information School
13Georgia Institute of TechnologyAtlanta, United StatesGeorgia Tech College of Computing
14The University of Illinois — Urbana-ChampaignChampaign, United StatesSchool of Information Sciences, University of Illinois at Urbana-Champaign
15Princeton UniversityPrinceton, United StatesDepartment of Operations Research and Financial Engineering, Princeton University
16Cornell UniversityIthaca, United StatesCornell SC Johnson College of Business
17New York University (NYU)New York City, United StatesNYU Stern School of Business
20University of PennsylvaniaPhiladelphia, United StatesThe Wharton School of the University of Pennsylvania
21California Institute of Technology (Caltech)Pasadena, United StatesDivision of Engineering and Applied Science, California Institute of Technology
27Johns Hopkins UniversityBaltimore, United StatesJohns Hopkins Carey Business School
31University of California, San Diego (UCSD)San Diego, United StatesHalıcıoğlu Data Science Institute, University of California, San Diego
33University of Maryland, College ParkCollege Park, United StatesCollege of Information Studies, University of Maryland
35University of ChicagoChicago, United StatesThe University of Chicago Booth School of Business
51-70Brown UniversityProvidence, United StatesData Science Initiative, Brown University
51-70Michigan State UniversityEast Lansing, United StatesEli Broad College of Business, Michigan State University
51-70Pennsylvania State UniversityUniversity Park, United StatesSmeal 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 ComponentsSkills AcquiredTypical Courses
Programming and Data Science ToolsMastery of programming languages like Python and RProgramming for Data Science, Tools for Data Analysis
Statistical and Quantitative AnalysisCapability to analyze and interpret large datasetsQuantitative Methods, Foundations of Data Analysis
Machine Learning and Advanced AnalyticsDeveloping predictive models and algorithmsMachine Learning, Advanced Data Analysis
Data Management and Big Data TechnologiesExpertise in handling and managing large datasetsData Management, Big Data Technologies
Business and Data StrategyUsing data insights for business decision-makingBusiness Analytics, Applied Data Strategies
Visualization and CommunicationEffectively presenting data-driven insightsVisual Analytics, Data Presentation Techniques
Ethics and Data GovernanceEnsuring ethical use and governance of dataEthics in Data, Data Governance Principles
Capstone Project or InternshipApplying academic knowledge in practical scenariosCapstone 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.

 

SourceScholarship TypeDetails
Inlaks Shivdasani FoundationOverseas ScholarshipsProvides scholarships to young Indians for full-time Master’s, MPhil, or Doctorate programs at top global institutions.
J. N. Tata EndowmentLoan ScholarshipsOffers loan scholarships for Indian students pursuing postgraduate studies abroad.
Tata TrustsMerit and Need-BasedSupports Indian students with scholarships for higher education both in India and internationally.
Government of IndiaVariousOffers a range of scholarships through various ministries and bodies for Indian students studying abroad.
British CouncilGREAT ScholarshipsCollaborates with UK universities to offer scholarships to Indian students for postgraduate courses in the UK.
Aga Khan FoundationGeneral 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 FellowshipsMerit-BasedOffers 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.

 

UniversityType of Financial SupportDetails
Harvard UniversityFellowships and Financial AidOffers 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 EngineeringFellowships, Assistantships, and Work-StudyProvides 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 SloanFellowships and AssistantshipsAwards fellowships and assistantships based on academic excellence and professional potential. All admitted students are automatically considered for these without needing a separate application.
Princeton UniversityFellowships and AssistantshipsProvides 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 WashingtonFellowships, Assistantships, and Financial AidOffers 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, BerkeleyScholarships, Fellowships, and AssistantshipsProvides 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 AidOffers 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

  • Google
  • 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 TitleAverage Salary (USD)
Data Analyst65,000
Data Scientist95,000
Business Intelligence Analyst70,000
Machine Learning Engineer110,000
Data Engineer92,000
Quantitative Analyst115,000
Analytics Manager105,000
Big Data Engineer120,000
Marketing Analyst60,000
Operations Analyst68,000
Overall Average90,000

 

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.

Picture of Shivani Mani

Shivani Mani

Shivani, aka 'Sheen' brings in 15+ years of experience in banking & finance. An IIM-A alumna, she actively interacts with students & provides actionable solutions to their study abroad funding issues.

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