Typically a 1.5 to 2 years program, the Master’s in Data Science is a specialized field of study that focuses on providing the perfect amalgam of training in statistics, computer and information science, and mathematics. This specialized domain is quickly gaining pace as a preferred option of study for ones with a knack for the analytical and the quantitative as data science helps mine crucial insights that guide important business decisions across industries.
Length of the program | 1.5 to 2 years |
Tuition Fees | $25,000 – $100,000 per annum |
Eligibility | 3-year UG degree, coursework in quantitative fields (probability, linear algebra etc.) and familiarity in programming languages (R, Python, Java, etc.) |
GPA | Average class GPA ranges between 3.0 – 3.96 |
TOEFL/IELTS | Average class scores are usually 80 and above for TOEFL and 6.5 and above for IELTS |
GRE/GMAT | Average class scores are 328 and above for GRE and 730 and above for GMAT |
Curriculum | The core concepts covered by the MS in Data Science curriculum include data mining, software development, statistics, data optimization, business intelligence, big data, machine learning |
Career Roles | Data Scientist, Data Analyst, Data Manager, Data Architect, Data Engineer, Business Analyst |
Salary | Depending on the role, location, expertise, and experience, one can start with an annual base salary of $95,000 – $ 125,000 post-completion of the MS in Data Science program. |
While a master’s in Data Science is offered by several graduate schools around the world, the USA remains the preferred destination for students because of several factors:
Top Universities – USA houses some of the top listed graduate schools that offer MS in Data Science programs. Of the globally-ranked top-100 graduate schools, 40 are located in the USA. Naturally, the preference to study at top-ranked graduate schools is higher.
Academic Excellence – The American education system is well-known for its flexible and remarkable curriculum. The stellar faculty ascertains academic excellence and also delivers a holistic learning experience to the students.
Internships – Several internship opportunities offered by the USA graduate schools help to orient the students to the challenges of working with big brands and understanding the global market.
Research Opportunities – The universities are well-equipped with the latest laboratories and equipment that offer numerous scopes to the students to engage in research in the data science fields.
Career Prospects – The USA is a budding market for aspiring data scientists. Students who are eager to build a career in the USA can expect a starting annual salary of $125,000 as a data scientist. Even Glassdoor ranks the data scientist role as the second most sought-after role in the USA.
Diversity – As the melting pot of cultures, the USA has the excellent opportunity to be oriented to newer perspectives.
According to QS Rankings 2023, the following are the top master’s in Data Science programs in the USA:
Universities | Master’s Programs |
Stanford University | Statistics – Data Science |
Harvard University | Data Science |
University of Pennsylvania | Data Science |
Columbia University | Data Science |
University of Michigan – Ann Arbor | Data Science |
New York University | Data Science |
Duke University | Data Science |
Brown University | Data Science |
University of Washington | Data Science |
University of South California | Computer Science – Data Science |
University of Maryland | Data Science and Analytics |
Arizona State University | Computer Science – Big Data Systems |
University of Rochester | Data Science |
George Washington University | Data Science |
University at Buffalo | Engineering Science – Data Sciences |
North Carolina State University | Computer Science – Data Science |
University at Albany | Data Science |
Syracuse University | Applied Data Sciences |
Georgia State University | Data Science and Analytics |
North-eastern University | Data Science |
With the steady rise in opportunities in the data science field, especially in a thriving economy like the USA, universities regularly witness strong competition for admission in every every upcoming intake in USA. The basic requirements to be able to apply to top-ranked graduate schools usually include a basic three-year undergraduate degree and coursework in calculus, linear algebra, statistics, probability, statistical inference, etc. and familiarity in programming languages such as R, Python, Java, C++, etc. Few institutions, such as Stanford, may mandate a four-year undergraduate program, which means that as an Indian student you would need to furnish post-grad academic experience as well. Usually, the schools do not have a minimum requirement for the test scores but do advise a competitive GPA of 3.0 and above, GRE score of 328 and above, GMAT score of 730 and above, TOEFL of 80 and above, IELTS of 6.5 and above. Professional experience is not a pre-requisite for applying to an MS in data science program, but exposure to practical challenges of the business atmosphere may help you better align with the electives and capstone selection.
Several need-based and merit-based scholarships, awarded by universities, third-party organizations, and governments of the students’ home countries, are available for international students studying MS in data science in the USA. A proven record of academic excellence and extra-curricular activities and/or justified need for financial aid will make you eligible for scholarship in USA. A few of these include:
As the digitization of the business world becomes a reality, the importance of data in determining business decisions remains undisputed, thereby skyrocketing the need for trained professionals who can read data to analyse and predict trends and impacts. Per a study conducted by the U.S. Bureau of Labor Statistics, the need for data scientists is projected to grow 22% from 2020 to 2030. Undoubtedly, a post-grad in Data Science opens up many avenues for you in terms of lucrative career options. You can find interesting roles as a data scientist, data analyst, data manager, data architect, data engineer, business analyst, and consultant with such Fortune 500 firms as Apple, IBM, Microsoft, Amazon, etc. Usually, the annual pay for such roles can range anywhere between $95,000 and $192,000 depending on the location and your experience and expertise.
For further details on pursuing an MS in data science from the USA, Top Universities in the USA, Upcoming Intakes to Study in USA, Study Abroad, Jobs in USA, Scholarships in USA, Study in USA connect with our expert advisors at Manya Education Private Limited.
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