Students pursuing an online master’s in data science will learn more about a particular branch of computer science that plays an increasingly important role in developing software-based solutions to consumer problems. These programs typically range between 36 and 45 credit hours, and full-time students can complete most of these programs within two years, and select accelerated programs allow students to complete coursework within one year.
The National Center for Education Statistics reports that paying for a graduate degree like this will cost students an average of $19,792, which is more affordable than $26,000 for an undergraduate degree. After graduation, students will qualify for a computer scientist job and expect an average salary of $131,000 per year.
How to Choose an Online Master’s in Data Science Program
Choose your area of study
Depending on the online master’s in data science program students select, they may be able to choose a specific area of study to specialize in. These specialized concentrations include machine learning, data engineering, and business analytics. All programs provide a strong foundation in data science, and the specialty courses help students customize their education while preparing for specific jobs after graduation.
If students have a solid idea of what they would like to do with their master’s degree after graduation, they are encouraged to choose a school offering the exact area of study that will best prepare them for this career.
Research schools and programs
Students are often surprised to discover just how many online master’s in data science degrees are available, so it’s crucial for them to quickly determine how they will narrow down the list of prospective schools.
One important factor is the school’s accreditation status, as any programs from an unaccredited school will not be worth the time and money to attend. Another important factor is cost, as most students have a budget that will inevitably preclude applying for the most expensive programs. Beyond accreditation status and the price, students may wish to rule out schools that don’t offer enough of a support system for remote learners.
Prepare for tests and applications
Some online master’s in data science programs no longer require students to submit GRE scores as part of their application, while others still have this as a major requirement. Be sure to review each application carefully to discover whether it requires the submission of these test scores and the minimum score requirements for the different sections. Students who haven’t taken the GRE before should also consider application deadlines, as it may take up to three months to study for the exam and up to 15 days to receive test results.
Review other potential application requirements, including undergraduate transcripts, admissions essays, cover letters, and letters of recommendation.
Select your program
With the list of schools narrowed down, students must determine which online master’s in data science program(s) they will apply to.
Cost should still be a primary consideration, and students are encouraged to only apply to programs they can afford. Students may also explore the job placement rate of specific programs, which can help them assess their odds of getting their ideal job. It is also helpful to research which professors are teaching courses in the program, as professors with solid connections to the data science field can help students find great jobs after graduation.
Determine how you’ll pay for your degree
Every student who is worried about how they will pay for their online master’s in data science should complete the Free Application for Federal Student Aid (FAFSA) each academic year while they are in school. By filling out the application, most students automatically qualify for federal student loans, and the FAFSA is sometimes required to obtain most grants and certain scholarships. These alternative aid forms are less abundant for grad school students.
Students should also call the Financial Aid department of schools that sound interesting, as the financial aid counselors may have insight into special aid available to graduate students through either the school or the state.
Best 50 Accredited Online Master’s in Data Science Programs
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How We Rank Schools
This list features some of the best online master’s in data science programs at top colleges nationwide. Each school featured is a nonprofit, accredited institution — either public or private — with a high standard of academic quality for post-secondary institutions. Many programs are accredited by the Association to Advance Collegiate Schools of Business (AACSB).
We evaluated each school’s program on tuition costs, admission, retention and graduation rates, faculty, reputation, and the student resources provided for online students. Then we calculated the Intelligent Score on a scale of 0 to 100. Read more about our ranking methodology.
Next, we compared this comprehensive list of online master’s in data science programs to a list of aggregated college rankings from reputable publications like the U.S. News & World Report, among others, to simplify a student’s college search. We pored through these rankings so students don’t have to.
What Can You Expect from an Online Master’s in Data Science Program?
An online master’s in data science program helps students study large data sets and analyze them for accurate insights. Many courses are designed with a theory-based approach that helps students learn more about the different skill sets that go into data science. For example, coursework typically includes machine learning, statistics, data visualization, and programming. Depending on the program, a brief residency may be required that allows students to practice these skills and demonstrate what they have learned in a campus setting.
Exactly how long this program takes depends on whether it is a standard or an accelerated program and whether the student can attend full-time or only part-time. Full-time students can complete standard programs in two years and accelerated programs in one year. Meanwhile, part-time students should avoid accelerated programs, which will take approximately three years to complete the required coursework.
Potential courses you’ll take in an online master’s in data science degree program
- Data Structures & Algorithms. This course helps students expand their existing programming knowledge by focusing on the fundamentals of algorithms and data structures. The coursework is designed around Python, and students must complete programming assignments in increasing complexity to demonstrate what they have learned.
- Probability & Inference. This course helps build on students’ existing statistics knowledge while also serving as an introduction to essential concepts such as regression-based modeling. Along the way, students will gain invaluable experience using simulations to stimulate their skills in inference and other skills, such as probability calculus and hypothesis testing.
- Regression & Predictive Modeling. While regression modeling is an aspect of other coursework, it plays a central role in this class. The course introduces students to both the theoretical background of the topic and real-world examples of how invaluable this knowledge is for anyone hoping to achieve a leadership role in the industry.
- Machine Learning. This course helps students learn more about machine learning by focusing on the heart of this growing field’s statistical concepts and core algorithms. Students will learn more about feature extraction, interpreting models, and how to apply skills such as classification and regression to machine learning development, analysis, and implementation.
Online Master’s in Data Science Degree Frequently Asked Questions
How do I apply to an online master’s in data science degree program?
To apply to an online master’s in data science program, students must submit the application on the relevant university website. Students can apply directly from the site, and the site will specify whether additional paperwork is required. For example, students typically have to submit undergraduate transcripts and a cover letter, but they may also have to submit GRE scores, admissions essays, and letters of recommendation.
Any students who are worried about whether their application is complete should contact the admissions department, and the counselors there can answer any questions students may have about the matter.
How much does an online master’s in data science degree cost?
According to the National Center for Education Statistics, graduate degrees such as this cost an average of $19,792.
The exact cost students pay will depend on several factors, including whether the program is located at a private school (which is more expensive than a public school) and whether they will be an out-of-state student (which is usually more costly than attending in-state). The number of credits required will also affect the overall cost, with programs requiring more credits generally costing more than those requiring fewer credits.
How long does it take to earn an online master’s in data science degree?
Students who are pursuing their online master’s in data science on a full-time basis can complete standard programs in two years and accelerated programs in one year. Part-time students should avoid accelerated programs, which may take about three years to finish a standard program.
Ultimately, each remote learner knows best how much time they can devote to their academic studies, and the most important thing is finding a reputable, affordable program that is also willing to work with the schedule needs of its online learners.