The US is a leader in research and development in data analytics. The master’s in data analytics in the country spans one to two years. Since the country houses 27 of the top 100 universities globally (QS Rankings 2024), earning admission to a reputed university can be challenging. However, if you know the MS in Data Analytics in the USA requirements, you can expect hassle-free enrollment in the course.
Managing the world’s data currency demands experts with degrees in data science, data analytics, machine learning, big data, and other related fields. Therefore, the demand for data analytics specialists has increased globally, making the course appealing.
The US is a thriving economy with a booming employment market for data scientists. Data science jobs are the most sought-after in the US.
A data scientist’s annual base income is USD 100,000 (Payscale 2024). Therefore, the US is a popular choice for students who want to learn data analytics.
Standard MS in Data Analytics for US Requirements
To ensure admission to leading colleges to pursue an MS in Data Science in the US, students must satisfy all entrance requirements.
These are some of the standard MS in data analytics in the USA requirements:
GRE and GMAT scores are required when applying for a master’s degree in data science in the US. A minimum GRE score of 280 is required, while premier universities may demand 310.
A four-year full-time graduate degree in a STEM field is required for students applying to data science programs in the US.
International students must have a minimum of 3 GPA out of 4.
English language competence is essential for non-native English speakers. As a result, IELTS and TOEFL scores are critical.
Various data science institutions in the US allow and demand prior job experience. Under some conditions, universities can also use previous job experience to waive GRE scores.
An SOP is an essential criterion.
A recommendation letter is also an important document. Universities necessitate a minimum of two to three letters of recommendation. These LORs should come from a faculty member or a former employer.
Required English Language Test for MS in Data Analytics in US
A few different English Language proficiency tests are valid across colleges in the US. They have been listed below.
Top Universities in US that Offer MS in Data Analytics with Admission Requirements:
The US is home to several top universities that offer an MS in Data Analytics. Here are the best among them and their MS in data analytics in USA requirements.
University Name
IELTS Score
Minimum GPA (out of 4)
Stanford University
7.0
3.96
Columbia University
7.0
3.27
Harvard University
6.5
3.0
Yale University
7.0 and above
3.0
New York University
7.0
3.0
University of Southern California
7.0
3.0
Indiana University Bloomington
6.5 and above
3.0
University of Massachusetts Amherst
7.0
3.0
Boston University
6.5
3.0 and above
Several institutions also accept work experience as a substitute for the GRE scores. Furthermore, IELTS is also a widely recognized English-Proficiency test accepted by universities across the US.
The community colleges and certain state colleges also take Duolingo scores.
Conclusion
The US is the largest economy globally and has countless employment opportunities for data science and data analytics graduates.
Housing some of the best institutions globally, the country is perfect for anyone who has their eyes set on leveraging the digital revolution that is occurring right now.
Q. What is the average tuition fee for MS in Data Analytics in the USA?
A. You can expect to pay between $30,000 to $70,000 as tuition for studying MS in Data Analytics in the USA. While this range may seem steep to many, one must know that data science graduates can easily earn $100,000 as average base salaries, meaning a good return on investment.
Q. What is the curriculum for MS in Data Analytics in the USA?
A. Students will learn Data Mining, Algorithms, Machine Learning, Python, Big Data Analytics, Database Management, Mathematical Statitics and many more core subjects as part of the curriculum.
Q. What are the job prospects after MS in Data Analytics in the USA?
A. Available jobs include the likes of Data Scientist, Data Analyst, Data Manager, Data Architect, Data Engineer, Business Analyst, Software Engineer, Machine Learning Engineer, Data Modeler, Statistician, and several more in-demand professions.
Urvi has 3 years of experience as a content writer and marketer. Over years, she has established herself as a study-abroad expert and is adept at crafting compelling and engaging content for students. Self-driven and passionate professional, she likes writing poetry and has authored a poetry book ‘Thoughts of a Wallflower’.
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