While a self-study program or a cybersecurity bootcamp<\/a> can get you started, earning a master's degree in the field can help you skirt entry-level positions and move straight into a mid-tier role.<\/p>\r\n\r\n If you come from a business or other non-technical background, a degree's importance only magnifies. The structured, disciplined curriculum of a graduate program can give you the foundational knowledge you need in rigorous disciplines like statistics and analytics.<\/p>\r\n\r\n Data analytics master's degrees prepare students for careers in data by providing foundational education in mathematics, statistics, programming, machine learning, data analysis. Although most master's programs call for two years of study, some schools offer an accelerated MS in data science, allowing learners to finish in as little as 10 months.<\/p>\r\n\r\n The typical program requires at least 30 credits and includes coursework in data science theory, R, Python, machine learning, and industry-standard tools. Most degrees conclude with a capstone experience. Depending on the school you choose, you may pay less than $10,000 or more than $60,000 for the entire program.<\/p>\r\n\r\n\n Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.<\/p>\r\n Each school establishes its own admissions policy, but most data analytics programs share common expectations. Applications should hold a bachelor's degree<\/a> with coursework in computer science, statistics, electrical engineering, or data analytics.<\/p>\r\n\r\n Many schools also set a minimum overall GPA or a minimum GPA in the last two years of study. While GRE or GMAT scores may increase some applicants' chances for admission, fewer schools require test scores after the COVID pandemic.<\/p>\r\n\r\n Data analytics degrees are not uniform in structure, delivery, or emphasis. For example, you can pursue your degree online or in person, as a stand-alone program or with a specialization, as its own degree or as part of a dual master's program. Consider the following data analytics programs:<\/p>\r\n\r\n Each graduate program in data analytics presents its own unique curriculum. The following list of courses represent a cross-section of the types of classes you might take in a data analytics degree.<\/p>\r\n\r\n While the NCES states<\/a> that the average graduate school charges $19,749 in tuition each year, averages can be misleading. Some schools may charge more while others can offer an entire master's degree in data analytics for less than $10,000.<\/p>\r\n\r\n Various factors affect a school's price, including school prestige, its status as a public or private institution, and whether you are a state resident.<\/p>\r\n\r\n Adding tuition to cost of living can present a challenge, but most students rely on some form of financial aid. Graduate students can access scholarships, grants, fellowships, private or federal loans, or employer reimbursements.<\/p>\r\n\r\n Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.<\/p>\r\n Data analytics graduates can do a lot with their degrees. Jobs are open in data science, operations analysis, financial analysis, mathematics, and statistics. The following careers represent just a few of the positions available.<\/p>\r\n\r\n Data analysts look for insights in data that can help solve business problems. They identify data they want to use, collect the data, clean it, analyze it for insights, and interpret the results. These professionals may work in healthcare, business, market research, or another field.<\/p>\r\n\r\n Operations research analysts use their knowledge of data, statistics, and analysis to help organizations make sound business decisions. These professionals often work for federal agencies, finance organizations, or professional services providers. They need extensive knowledge of mathematics and computer science.<\/p>\r\n\r\n Statisticians solve problems by analyzing data. These mathematical experts often work on teams with engineers or scientists, and many of them hold employment with government agencies or scientific research companies.<\/p>\r\n\r\n Data engineers create the systems that data managers use to store, process, and retrieve information. They may build databases, data warehouses, or data pipelines. Data and operations analysts typically build on an engineer's work by creating dashboards.<\/p>\r\n\r\n Charged with extracting meaningful insights from raw data, these professionals run full data projects from selecting the data and creating models to presenting findings and making business recommendations. Data scientists can focus on specific industries or types of data.<\/p>\r\n\r\n When considering data analytics programs, it's tempting to look only at cost and time to graduation. To make the best choice, however, you want to consider several other factors, such as:<\/p>\r\n\r\n Online degrees are expanding, diversifying, and improving. In 2018, Learning House, Inc. and Aslanian Market Research<\/a> found that 60% of students who had a choice between online and on-campus learning picked the online option.<\/p>\r\n\r\n The same survey found that computer science was one of the fastest-growing fields for online study.<\/p>\r\n\r\n Choosing to learn online is a personal decision, however. If you prefer the structure and interaction of a brick-and-mortar classroom, that approach may be your best option.<\/p>\r\n\r\n\n <\/p>\n <\/div>\n <\/p>\n <\/div>\n <\/p>\n <\/div>\n <\/p>\n <\/div>\n Want to work with big data? The five master's in data analytics programs we feature here help prepare you for in-demand data analysis careers. Learn about admission requirements, tuition costs, and course offerings at the top data analytics master's programs. Check out our ranking methodology to learn how we ranked these schools.<\/p>\r\n\r\n\n \n We use trusted sources like\n the National Center for Education Statistics to inform the data for these schools.\n \n #1 \n <\/p>\n\n \n CUNY Queens College, with an 80-acre campus in Flushing, Queens, offers more than 100 master's degrees, including 40 accelerated programs. Established over 85 years ago, QC is part of the 25-college City University of New York system. <\/p>\n\n \n \n \n
What to Expect From a Data Analytics Master's Program<\/h2>\r\n\r\n
Popular Online Programs<\/h2>\r\n
Admission Requirements<\/h3>\r\n\r\n
Degree and Concentration Options<\/h3>\r\n\r\n
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Popular Master's in Data Analytics Courses<\/h3>\r\n\r\n
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How Much Do Data Analytics Programs Cost?<\/h3>\r\n\r\n
Popular Online Programs<\/h2>\r\n
Jobs for Master's in Data Analytics Graduates<\/h2>\r\n\r\n
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Selecting the Right Master's in Data Analytics Program for You<\/h2>\r\n\r\n
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Should You Get Your Graduate Degree Online?<\/h3>\r\n\r\n
Explore Related Programs<\/h3>\r\n \n\n
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Top Master's in Data Analytics Programs<\/h2>\r\n\r\n
\n CUNY Queens College\n <\/h3>\n\n \n
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Master of Arts in Data Analytics and Applied Social Research<\/h3>\n