20 Universities for Data Science in USA. Data is the modern digital economy’s new oil. There is an enormous amount of data all around us, and it is growing at an exponential rate. The problem is that this large data set is noisy and heterogeneous. As a result, it is critical to extract knowledge or insights from the data around us. Statistics and machine learning, computer science and software development, and domain knowledge are the three pillars of data science. Data scientists gather, manage, analyze, and interpret massive amounts of data for a wide range of applications. The course data science can even be studied online.
The demand for highly skilled data scientists is increasing rapidly. The Bureau of Labor Statistics predicts that demand for mathematicians and statisticians will grow by 33% through 2029, much faster than the national average. Data scientists are critical members of organizations of all sizes. They assist executives in making informed business decisions by making sense of all data within an organization.
To make sense of various types of data, data scientists employ scientific methods, processes, and algorithms. A master’s degree in data science can provide you with the advanced training required to collect, maintain, and analyze data, as well as communicate the results to key stakeholders.
Eligibility for Data Science masters in the United States
The following are the eligibility criteria for the best data science universities in the United States:
- Applicants must have a bachelor’s degree in mathematics, computer science, statistics, or economics with a minimum grade point average of 80%.
- For admission, GRE scores are required (minimum recommended scores are 130 and 140 in verbal and quantitative sections while 2.5 is recommended in the writing analysis section).
- TOEFL/IELTS scores should also be submitted for admission.
- SOP (Statement of Purpose)
- LORs (Letters of Recommendation)
20 Universities for Data Science in USA
The University of California, Berkeley, founded in 1868, is a public research university in Berkeley, California. Cal, which is ranked 22nd in the Best Colleges in National Universities, is one of the most selective universities in the United States, with an acceptance rate of 18%. The university has a student-faculty ratio of 19:1 and offers degree and certificate programs at the undergraduate and postgraduate levels. The academic calendar at the university is semester-based.
Concordia University’s School of Business and Economics in Irvine has one of the best business data analytics programs in the country. Data science is available as an emphasis within the business administration major. It is one of the country’s first to focus on Big Data. Students study topics such as:
- Decision Analytics and Optimization
- Analytical Tools for Big Data
- Visualization of Data
Students can gain practical work experience by completing a business data analytics internship. The program is IACBE accredited, which demonstrates the effectiveness of its business program.
Carnegie Mellon University, founded in 1900, is a private university in Pittsburgh, Pennsylvania. Andrew Carnegie, an industrialist and philanthropist, founded it. With over 350 clubs and organizations for student engagement, the university is well-equipped to support students’ academic, financial, and health needs. Carnegie is one of the most selective universities in the United States, with an acceptance rate of 17%.
NYU was the first university in the world to offer an MS in Data Science program, and it is now regarded as one of the best. The Center for Data Science at NYU is in charge of the MS program. It is an extremely competitive program for students with strong backgrounds in mathematics, computer science, and applied statistics. The degree focuses on the creation of new data science methods. Statistics, machine learning, artificial intelligence (AI), biostatistics, business, economics, psychology, and other departments are available to students. Students will have the opportunity to collaborate closely with people from other fields in order to apply data science to real-world problems.
Depending on your interests and career goals, you will be able to study Big Data, NLP (natural language processing), mathematics, data, and physics. Practical training is available in the form of an internship semester and a capstone project. In addition, in collaboration with industry professionals, the department hosts workshops, tech talks, and other events. The NYU data science program has a 15% acceptance rate. Despite this, the acceptance rate in 2014 and 2015 was 5%.
Stanford’s MS in Statistics: Data Science program is one of the best in the country. Students will gain a solid foundation in data science, statistical modeling, programming, and data mining. There is also the opportunity to specialize in machine learning, big data in medicine, business intelligence, or distributed data management. After completing the MS program, students can pursue a Ph.D. in Statistics, ICME, MS&E, or Computer Science at Stanford (but of course, no guarantee).
Students are ideally placed to pursue work experience and internships with the many tech giants due to their location in Silicon Valley (Palo Alto, California). Stoodnt, based in Palo Alto, is also working on Machine Learning and Artificial Intelligence. As a result, you could end up doing an internship with Stoodnt.
The Massachusetts Institute of Technology is a private university in Cambridge, Massachusetts, just outside of Boston. The university was established in 1861. MIT is divided into five schools with a focus on scientific and technological research. The highly ranked schools among them are the School of Engineering and the Sloan School of Management. The university has a 7% acceptance rate and is known for being one of the most selective schools in the United States.
The Viterbi School of Engineering oversees the MS in Computer Science with a specialization in Data Science program at USC. The program gives students a foundation in computer science as well as specialized algorithmic, statistical, and systems expertise in acquiring, storing, accessing, analyzing, and visualizing large, heterogeneous, and real-time data associated with a variety of real-world domains such as energy, the environment, health, media, medicine, and transportation.
The program places a strong emphasis on statistics, algorithms, and system knowledge. The core curriculum is pure computer science—think AI, data systems, and data analysis classes. The department is one of the top 20 in the United States, with strong ties to companies such as Boeing and the United States Military.
Yale University’s PhD in statistics and data science program provides extensive training in statistical theory, probability theory, stochastic processes, asymptotic, information theory, machine learning, data analysis, statistical computing, and graphical methods. In the first year, students must complete 12 courses on these topics. Each semester of their third and fourth years, students are required to teach one course. In their fifth year, the majority of students complete and defend their dissertations. Annual tuition is $43,300.
The University of Virginia is an excellent all-around institution. It has the reputation of any elite private university but charges tuition fees comparable to public universities. The MS in Data Science program at Virginia is an 11month professional master’s program that begins in early July and ends in mid-May the following year. The compressed duration is intended to shorten the time from start to finish, and the cohort experience will enable students to consistently work in teams while gaining real-world experience. Faculty from the Departments of Computer Science, Statistics, and Systems and Information Engineering teach the courses. Datapalooza, a university-wide showcase of data-driven research, resources, and outreach, is held every year by the institute.
The MS in Data Science program at Indiana University, offered by the School of Informatics and Computing, is unique in that it provides students with two distinct paths: a technical path and a decision-maker path. The technical track includes topics such as algorithm analysis, cloud computing, and network security systems. Project management, strategy, business intelligence, and communication are all part of the decision-maker path. The school has a strong reputation in quantitative analysis and computer science, and there are opportunities for research as well. The school is also known for its emphasis on business, making it an excellent choice for students interested in pursuing a career in management.
The Department of Computer Science and Engineering, the Department of Electrical and Computer Engineering, the School of Statistics, and the Division of Biostatistics collaborate to deliver the Data Science program at the University of Minnesota. It is an excellent program for those who want to delve deeply into the world of data; it is one of the best places for data mining and data management.
There are numerous research opportunities available, ranging from big data processing in mobile cloud platforms to comparing the performance of climate simulation models. In terms of academic institutions, the University of Minnesota is currently ranked fourth in the world in data mining. The program also provides excellent opportunities for those interested in working in public health, specifically healthcare informatics and healthcare analytics. The Institute for Health Informatics at the University of Minnesota, for example, has a large team of researchers working on natural language processing.
The Data Science program at UW teaches students how to extract meaningful insights from large amounts of noisy big data. To meet the growing needs of the modern world, the program will prepare students to develop deep expertise in big data management, modeling, and visualization. Statistics and Probability, Information Visualization, Data Science Visualization, Statistical Machine Learning, Software Designs for Data Science, Experimental Design, Data Systems & Algorithms, and Capstone Project are among the courses offered.
Students will have the opportunity to work with top data science talent and gain valuable real-world experience. Students will be in close proximity to tech titans such as Microsoft and Amazon due to their location in Seattle. As a result, it is a strategic geographical location to begin your big data journey. Last but not least, classes on the UW Seattle campus are held in the evening. You can work and study at the same time.
The UI-UC MS in Computer Science – Data Science Track is offered in collaboration with the School of Information Sciences and the Department of Statistics. It’s essentially an online program. The program focuses on new statistical and computational tools that are revolutionizing business and society. Students will learn through Coursera’s MOOC platform in addition to lectures.
Rutgers’ MS Data Science program is a highly analytical degree program. Students will gain a thorough understanding of the algorithmic tools and computational skills required for data extraction, analytics, visualization, and summarization. Practical training (internship) is a required critical component of the program, making it extremely effective for employability.
PhD students can conduct research in a variety of fields, such as big data, data science, and informatics. The program is intended for students who want to pursue a career in research, and faculty members mentor students from a variety of disciplines. The doctoral program has no specific prerequisites, and the interdisciplinary program accepts students from a variety of academic backgrounds. Students can choose between a full-time and a part-time program.
Earn your master’s degree in data science through the DataScience@Denver program. You will gain knowledge and skills in critical competencies such as programming, data mining, machine learning, database management, and data visualization in as little as 18 months. Students from all academic and professional backgrounds are welcome to apply. There is no GRE requirement.
Georgia Institute of Technology, founded in 1885, is a public university in Atlanta, Georgia. With 13 honor societies and over 400 student organizations, the university provides an enriching student life outside of the classroom. Popular majors at the university include computer and information sciences, mechanical engineering, and industrial engineering, with a student-faculty ratio of 18:1. The Georgia Institute of Technology is a highly selective university with a 21% acceptance rate and a 27.6% early acceptance rate.
The University of Michigan, founded in 1817, is a public research university in Ann Arbor, Michigan. Doctoral degrees in the humanities, social sciences, and STEM fields (science, technology, engineering, and mathematics) are available, as are professional degrees in architecture, business, medicine, law, pharmacy, nursing, social work, public health, and dentistry. The university has an unusual admissions process, with a 26% acceptance rate.
If you want to gain experience working with a variety of software environments, Auburn University’s business analytics bachelor’s degree program is worth considering. Students will learn how to use SAS, Tableau, Python, SAP, R, and Watson. Courses include the following:
- Modeling Predictive
- Data Management Technical Aspects
- Quantitative Results Communication in Business
Concerned about finding work after graduation? Auburn has a 100% job placement rate for business analytics graduates.
Recommended for you: The Danish Data Science Academy PhD Scholarship I 2022
FAQS on 20 Universities for Data Science in USA
How much does a master’s degree in data science cost?
A master's degree in data science requires significant time and money. According to the Education Data Initiative, the average cost of a master's degree is $66,340 per year, with a range of $30,000 to $120,000 annually.
In general, public schools are less expensive than private schools. Tuition rates for in-state students are typically lower than those for out-of-state students. Some employers provide tuition assistance programs that can assist students in lowering the cost of their data science program. A growing number of data science graduate degree programs are now available online, providing students with additional cost-cutting options. Some of these programs offer their low in-state tuition rate to online students regardless of where they live!
Online students who work while pursuing a degree can earn money while attending classes. Online students can save a lot of money because they can complete their coursework from home. Online students do not have to pay for on-campus housing or expensive meal plans. To keep costs low for their students, online programs may even offer digital textbooks or use open-source software.
How much does a bachelor’s degree in data science cost?
According to the Education Data Initiative, the average cost of college in the United States is $35,331/year.
Overall, public schools are less expensive ($25,487/year) than private schools ($53,217/year), and in-state tuition rates are lower than out-of-state tuition rates.
Students can save money by taking general education courses at a junior college before transferring to a larger, four-year university. Students who complete their degrees online may be able to save money.
The most effective data science programs Undergraduate students who work full-time while attending school can save a significant amount of money. Students risk losing $40,612 in annual earnings if they are unable to work full-time while attending school. Online data science students also save money by not having to pay for expensive on-campus housing and meal plans.
The best data science schools provide generous financial aid packages to help students afford their education. Students majoring in data science should complete the FAFSA in order to be considered for financial aid awards, which may include low-interest loans or grants.
Schools may provide scholarships to online students or adult learners, which can help to reduce out-of-pocket expenses. Students with high ACT scores, industry experience, or a high GPA may be eligible for additional scholarships. Working students should inquire with their employers about possible tuition reimbursement programs.
Which are the best data science universities in the United States?
The University of California, Berkeley, Carnegie Mellon University, Massachusetts Institute of Technology, Stanford University, and the University of Washington are among the top universities in the United States for an MS in Data Science.
Millions of international students dream of studying in the United States of America (USA). Its quality education, diverse culture, and plentiful job opportunities after graduation are some of the major factors that have led to the country’s global dominance.
One of the most popular disciplines in the United States is data science. According to the US Bureau of Labor Statistics, the sector is expected to grow by 28% in 2026, providing more job opportunities for data science enthusiasts.