Best Online Masters in Data Science

Best Online Masters in Data Science
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Best Online Masters in Data Science



An interdisciplinary online master’s degree in data science is designed to assist students prepare for a career as a data scientist. The majority of the coursework focuses on computer science, mathematics, and statistics. This guide is designed to assist students in selecting a data science master’s degree that best meets their needs. We’ve compiled a list of the best 15 online data science master’s programs in response to student demand. With the idea that each student’s demands are unique, we’ve compiled a thorough list of institutions that offer a data science master’s degree entirely online. 

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How to Choose an Online Master’s in Data Science Program 

Choose a data science specialization. 

Students have a lot of options because there are so many colleges that offer online data science programs. What are your professional objectives? Which concentrations enhance the number of possible job paths? There is a lot of overlap between the main courses. The fundamental courses that are similar to all schools include data mining, data warehousing, data analytics, and statistical modeling. 

However, universities today provide a variety of elective courses and specialties to meet the diverse needs of each market area, such as law enforcement, finance, and healthcare. For example, ambitious data scientists may pursue studies in Social Media Analytics, Game Theory, Cryptology, Cybersecurity, and Financial Investigations. 

Make a schedule for yourself. 

The length of time it takes to start and finish a master’s in data science online degree program varies by school. When do applications have to be submitted? Do you intend to enroll full-time or part-time? Is it a synchronous or asynchronous program? 

Find out how long each program has been available. 

While online data science degrees are still relatively new, the programs with the most experience tend to be the best. Accredited online data science master’s degrees with great student support and job placement should be at the top of the list of criteria for a reputable program. We’ll go over each of these in more detail below. 

Determine the admissions standards for standardized testing. 

GRE scores are required by around half of the colleges on the list. This may not be a consideration that influences your decision to apply if you excel at scoring high on standardized tests. There are several schools that do not require the GRE as part of the admission process for prospective students who have not taken the exam or did not score well on it. 

Calculate the cost

For most students, cost is frequently the most important factor. Tuition information is not published in a consistent format by schools. For example, school A might charge $1,000 each credit, while school B might charge $3,000 per course. The cost is the same if both schools offer three-credit courses, although school B may appear to be more expensive at first glance. We make every effort to ensure that the tuition rates provided below are as accurate as feasible. Many schools, on the other hand, modify their fees on an annual basis. As a result, once you’ve narrowed down your alternatives, it’s advisable to confirm current pricing directly with institutions. 

Select a school. 

It’s time to make a decision after you’ve looked into all of these (and possibly other) aspects. The good news is that there are a lot of prominent colleges that offer a data science master’s degree online, so you have a lot of choices.

How Long Does It Take to Earn an Online Data Science Master’s Degree? 

Master’s degree programs might take anything from 18 to 36 months to finish on average. A longer program does not always imply a better one. The most essential factor is the educational quality. The fundamental coursework is nearly identical from program to degree, as previously stated. Many colleges, on the other hand, have math and programming expertise criteria that you must meet before being admitted. On the other hand, some online data science master’s degrees include this type of curriculum as the first set of classes, such as calculus, statistics, and a programming language. This will, of course, lengthen the duration of your program. 

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While asynchronous vs. synchronous programs do not always imply a longer vs. shorter program, you should select a learning delivery mode that corresponds to your desired learning style. In a nutshell, asynchronous courses consist of pre-recorded lectures that you can watch whenever you choose. There are, of course, deadlines for tasks like participating on discussion boards, submitting needed assignments, and finishing exams. Live lectures, asynchronous discussion posts, assignments, and examinations are all included in synchronous learning modules. Some programs, on the other hand, may need live proctored tests, and students can schedule virtual assistance with their tasks in real time (some have Telegram groups for this purpose as well). 

What Can I Expect From an Online Data Science Master’s Degree? 

The content of online master’s in data science programs varies per institution and is frequently determined by faculty expertise and/or institutional priorities. Furthermore, several colleges and universities offer specializations or concentrations that allow students to personalize their degree to their unique interests and future aspirations. These specialities are typically linked to common career paths in the subject. 

While individual courses vary, students often take a combination of core, focus, and optional courses, as well as a practicum. Electives may cover topics such as algorithms and data structures, digital image processing and analysis, distributed systems, and bioinformatics, among others. Core coursework emphasizes computer science, industrial engineering, and business concepts, while electives may cover topics such as algorithms and data structures, digital image processing and analysis, distributed systems, and bioinformatics. 

An online master’s degree in data science prepares students to enter the field right after completion. Some graduates, on the other hand, continue their study by earning a PhD degree.

Admission Requirements for an Online Master’s in Data Science 

A bachelor’s degree in a STEM field is required. 

While many master’s degree programs require applicants to have a bachelor’s degree, many data science master’s programs require applicants to have a bachelor’s degree in a STEM or business subject. This indicates their data science-related competencies and skills. 

GPA Requirement 

Students are usually required to have a minimum undergraduate GPA of 2.5-3.5. Some schools do not demand a minimum GPA for admission, however this is dependent on the admissions department’s preferences. 

Recommendation Letters 

Applicants for master’s degrees are often required to provide 1-3 letters of recommendation. These letters should be written by educated and/or professional references; friends and family members should not be used as references. 

Scores on the GRE or GMAT 

Applicants to data science master’s programs are frequently asked to submit their quantitative, verbal, and writing GRE or GMAT scores. Not all schools, however, need these test scores for admission, and some may grant exceptions to applicants who have a graduate degree, a good undergraduate GPA, or several years of relevant professional experience. 

Resume for Professionals 

Although professional experience is not essential for admission to master’s degrees in data science, many colleges and universities request a professional résumé from applicants. This gives admissions officers a better picture of an applicant’s relevant experience.

Data Science Online master’s degrees are available the following universities:

Johns Hopkins University is a public research university in Baltimore, Maryland. 

Johns Hopkins University in Baltimore, Maryland, provides a customizable, hybrid, or entirely online master’s in data science. While the majority of students have a bachelor’s degree in a related discipline, Johns Hopkins offers competence exams to applicants from any background who believe they have the required expertise. 

Students who complete the degree will be prepared for professions in game theory, machine learning, or data visualization. Seven core courses, one mathematics elective, and two additional electives make up the curriculum. Theoretical learning is combined with hands-on, practical settings by students. All courses must be completed within five years. 

The Middle States Commission on Higher Education has granted Johns Hopkins regional accreditation. 

Southern California University is located in Los Angeles, California. 

USC, which is based in Los Angeles, provides an online master’s degree in computer science with a focus on data science. Students should expect to get a solid foundation in computer science as well as specialized understanding in algorithms, statistics, and data systems. 

The program includes all of the prerequisites for a master’s degree in computer science, as well as specific data science coursework. Graduates are prepared for a variety of careers, including computer simulation, computer security, and aerospace and defense. 

Online students watch the identical lectures as their on-campus peers thanks to a proprietary electronic system. In addition, regardless of where they live, online participants can completely collaborate with their professors and fellow students. Online students are welcome to come to campus at any time. The Western Association of Schools and Colleges Senior Colleges and University Commission has granted USC regional accreditation. 

University of Illinois at Urbana-Champaign 

The University of Illinois, which is located in Champaign, provides a totally online master of computer science in data science. The curriculum meets all of the criteria for a master’s degree in computer science, with a focus on data science. 

The curriculum is designed for students who have a strong background in data structures, algorithms, and object-oriented programming, although those who do not have relevant prior coursework can demonstrate proficiency by completing an optional test. Machine learning, data mining, data visualization, and cloud computing are all covered in one course. They can then further personalize their journey by selecting additional courses. 

Exam proctoring is available for online students through a service called ProctorU. The Higher Learning Commission has granted U of I regional accreditation. 

Southern Methodist University is a private university in Dallas, Texas. 

SMU is a private research institution in Dallas, Texas, that provides an entirely online master’s degree in data science. Students will be prepared for occupations that need data-driven decision-making through a combination of online instruction, collaborative group projects, and interactive coursework. 

One of two specializations is available to students. The machine learning track may be preferred by people with a strong interest in technology, while the business analytics track may be preferred by those with a strong interest in business strategy. 

Regardless of their chosen path, all students acquire a strong theoretical and practical foundation, allowing them to build abilities that may be applied to industries such as aerospace and military, engineering, media, and healthcare. The Southern Association of Colleges and Schools Commission on Colleges has granted SMU regional accreditation. 

Pennsylvania State University is a public university in the state of Pennsylvania 

A master’s degree in spatial data science is available online through Penn State World Campus. The program is designed exclusively for students interested in working in the geospatial industry, where spatial analysis and data science are combined to leverage the value of location-based data. Careers in geospatial data engineering, data visualization software engineering, and geospatial software development may be available in the future. 

The curriculum was created for students with a strong background in geographic information systems (GIS), although it does not require prior computer programming skills. Before applying, students who are unfamiliar with GIS might complete a post-baccalaureate GIS certificate. 

Students can complete weekly projects at their own pace, and they can choose between a thesis and a non-thesis option. The Middle States Commission on Higher Education has granted Penn State World Campus regional accreditation. 

New Jersey Institute of Technology is a public research university in New Jersey. 

NJIT, which is based in Newark, offers an online master’s degree in data science. Students will be able to manage massive data sets, construct and assess advanced statistical models, and employ artificial intelligence and machine learning in complicated predicting tasks after completing the program. Data science, machine learning engineering, and business intelligence analytics are just a few of the industries where graduates have found success. 

Students learn theoretical concepts and execute hands-on projects using Python, as well as data visualization and analysis tools like Tableau and R. Calculus and linear algebra, as well as statistics and software development, are required skills for successful candidates. 

The Middle States Commission on Higher Education has regionally accredited NJIT as a public university. 

The University of West Florida is a public university in West Florida. 

The University of West Florida (UWF), a public university in Pensacola, provides an online master’s degree in data science. The curriculum teaches students how to use big data analytics, machine learning, and statistical analysis to prepare for data science jobs in a number of industries. 

Depending on their interests and career ambitions, students can choose from three different paths. The analytics and modeling track focuses on software development, machine learning, and data analysis, whereas the analytics of business decisions track prepares students to make data-driven business decisions, such as increasing efficiency and resolving organizational issues. The health analytics program prepares students to apply data science to address the unique difficulties that the healthcare business faces. 

The Commission on Colleges of the Southern Association of Colleges and Schools has regionally approved UWF.

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