No GRE/GMAT Online Master’s Program in Data Science

University of Rochester: The GRE is not required but scores can be submitted for consideration.

Tufts University: GRE not required for current Tufts applying to the M.S. degree program.GRE scores may be waived for part-time students with five years of industry experience who are the students.S. citizens or permanent residents.

75 universities offer online Master's in Data Science. Out of these, 10 universities do not require GRE for the admission to online Masters program. To view all the schools that do not require GRE/GMAT for the online Master's, use Match Me Masters.

Rice University logo
Ranked as:  #15 in Best National University
Tuition:  $47,913 per year
State:  Texas
Acceptance:  10.89%

Rice University offers a non-thesis MDS degree that requires students to commit to 31-35 credit hours of coursework. Those studying for this master's degree must fulfill certain obligations, including:

  • Depending on the course choices, the degree requirements must be satisfied with a minimum of 10–13 courses (31–35 credits).
  • A minimum of 31 graduate semester credits, or coursework with a 500 level or higher, are required for graduation. 
  • The student must enroll in a minimum of 24 graduate semester credits at Rice University.
  • Standard or traditional courses must be taken for a minimum of 24 graduate semester credits.
  • A minimum of one semester of part-time graduate coursework at Rice University either the autumn or spring semesters.
  • A maximum of two courses with transfer credit, totaling six graduate semester credits.
  • A cumulative GPA of 2.67 or higher across the board for all Rice coursework.
  • A minimum program GPA of 2.67 or higher in all Rice coursework that satisfies requirements for the non-thesis master’s degree.
  • All Rice courses must have a minimum program GPA of 2.67 or higher in order to satisfy the requirements for the non-thesis master's degree.

Having completed the MDS program, graduates will be equipped with the knowledge and skills to:

  • As a graduate student, gain an advanced comprehension of the numerical and statistical principles of Data Science.
  • Study in detail to achieve expertise in either one of the principal methods or one application aspect of Data Science.
  • Start by applying Data Science techniques to complex, real-world issues with raw and unclean data and finish by providing comprehensible information to non-experts which can be used for actionable purposes.

The online Master of Data Science program is tailored for non-traditional graduate students seeking a balance between their educational pursuits and the demands of work and family responsibilities. In this program, you'll have the flexibility to uphold your work-life commitments while pursuing your degree part-time in an exceptional, adaptable, and engaging learning environment. Part-time students typically complete the flexible online Master of Data Science program in a span of 2 to 3.5 years. Alternatively, for full-time students with strong prerequisites, the program can be completed in a more accelerated timeframe of 18 to 24 months.

Online Master of Data Science (MDS) Degree Program

The Master of Data Science (MDS) program at Rice University offers 3 intakes per year, accepting applications on a rolling basis. 

  • Resume or CV
  • Official Transcripts
  • Statement of Purpose (SOP)
  • Two Letters of Recommendation
  • $85 Application Fee

The GRE is recommended for all applicants, but is not required. If you meet or exceed the 3.0 GPA requirement, have strong math skills and relative work experience as indicated by the resume and letters of recommendation, the GRE is not required.

Online Master of Data Science (MDS) Degree Program
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  -
  • Teaching Assistantships:  -
  • Financial Aid: Register to view the details
Ranked as:  #25 in Best National University
Tuition:  $32,394 per year
State:  Virginia
Acceptance:  22.58%

The MSDS program from University of Virginia is the perfect choice for those wishing to be a pioneer in the data science field. Those enrolled are taught by expert faculty who have first-hand knowledge from working in industry, with opportunities to participate in team capstone projects sponsored by corporate and government partners. With the teachings of this programme, not only will informed decisions be made regarding ethical and responsible usage of data for society's benefit, but so too will the technical skills needed to solve even complex problems using data be mastered. In this way, those graduating become leaders in their chosen field.

Enrolling in an Online M.S. in Data Science (MSDS) offers students a forward-thinking opportunity to study topics such as natural-language processing, machine learning, text analytics, and deep learning. This innovative curriculum is built around excellence in data science with an emphasis on interdisciplinary exploration and practical, hands-on practice. Over just five semesters of instruction, students can gain a comprehensive understanding of data analysis principles which prepares them for solving real world problems and providing leadership within their field.

Offered by experienced professors and long-proven to be effective, enrolling in an online MSDS program is both a rigorous and flexible experience. With 32 credit hours over five terms, core courses take up much of this time while electives are available for semesters 4 and 5. To conclude their studies, all students will also complete a capstone project during their last two semesters. Designed to hone analytical skills in real-world scenarios, these projects are conducted by teams of 2-4 people as well as a faculty advisor. As part of term 4, each team selects their project before proceeding to work on it throughout terms 5 and 6.

Online Masters in Data Science

The online MSDS students will receive the same support and guidance as our residential students - and then some. A full team of faculty, administrators, success coaches and advisors will be with the students virtually every step of the way.

Applicants to the Master of Science in Data Science (MSDS) program must earn an undergraduate degree prior to the start of the summer term in which the program starts. Applicants with a three-year or four-year undergraduate degree from an accredited institution are eligible to apply.

The application form must be completed online. The following materials must accompany the application in order for it to be considered complete:

  • Statement of Purpose: This should explain how the online MSDS program fits into your short- and long-term educational and career goals.
  • Transcripts: Applicants must upload unofficial transcripts of their entire post-secondary academic record to the online application, including all undergraduate- and graduate-level coursework. Transcripts that are not stated in English must be accompanied by a translation into English.
  • Test Scores: The UVA MSDS is GRE/GMAT test optional.
  • Letters of Recommendation: Two letters of recommendation should be submitted electronically through the online system. Once you have saved the contact information for a particular reference within the online application, that individual will receive instructions via email for submitting a letter of recommendation on your behalf. It is preferable (but not required) for at least one letter to be from an individual with substantial knowledge of your academic accomplishments.
  • Resume or Curriculum Vitae: A resume or curriculum vitae helps us get to know an applicant beyond their formal academic coursework. There is no preference for students with or without professional work experience. Each year, we expect to have students who have just finished their degrees as well as students who are working professionals.
  • Application Fee: A non-refundable application fee of $85.00 is required prior to submission of the application. Applicants who believe they may qualify for an application fee waiver should first review the Application Fee Waiver Information and then submit an Application Fee Waiver Request Form.
Online Master's in Data Science Program
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  974
  • Teaching Assistantships:  697
  • Financial Aid: Register to view the details
Tufts University logo
Ranked as:  #32 in Best National University
Tuition:  $55,168 per year
State:  Massachusetts
Acceptance:  16.3%

The Data Science master's program offered by Tufts University is completely online and seeks to empower students with knowledge in statistics, data visualization, and machine learning. It provides an interdisciplinary curriculum structured to produce remarkable professionals in this area of expertise. With 32 credit hours and divided into ten courses, including a two-course Capstone Project, it can be completed within two years or less. You will have a unique set of skills that will push this field forward as you embark on your journey towards success.

Tufts University offers a unique Data Science program, jointly managed by both the Department of Computer Science and the Department of Electrical and Computer Engineering. Through this course of study, students are given the opportunity to gain experience with techniques such as machine learning, optimization, statistical decision-making, information theory, and data visualization in order to be better equipped for solving real-world problems. Upon completion of the program, graduates can look forward to working on interdisciplinary projects that involve data science with professionals from various fields like engineering, science, business computing and medicine.

Admission Requirements - Online Masters in Data Science - No GRE

Prerequisites for the Data Science master's program include a Bachelor of Science degree in a science, technology, engineering, or mathematics (STEM) field. Applicants with Bachelor's degrees in non-STEM fields may begin study with a Certificate in Data Science that, in an additional term‚ gives the applicant a sample of the program.

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • Three letters of recommendation
  • GRE General Test scores not required for applicants who will have received a degree from a U.S. or Canadian institution by time of enrollment. GRE scores required for all other applicants.
  • Portfolio (optional)
Online Masters in Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  555
  • Teaching Assistantships:  427
  • Financial Aid: Register to view the details
we can find best-fit college

75 universities offer the Master's program in Data Science.

Which one best suits your need?

Please select a program.
Select a program:
Please choose a course.
Please choose a specialization.
Please choose an option.
Have you taken the GRE?
GRE quantitative field is required. (Minimum: 80 | Maximum: 170)
GRE Verbal field is required. (Minimum: 80 | Maximum: 170)
GRE AWA field is required. (Minimum: 0 | Maximum: 6)
Please choose a type of university.
Type of University:
Education level completed:
Please choose a price interval.
$5000 $80000
Tuition sorting:
Please provide a First Name.
Please provide a Last Name.
Please provide a name.
Please provide your address.
Please, enter valid email address.
Please, enter valid phone.
Please, enter valid phone.
University of Wisconsin-Madison logo
Ranked as:  #38 in Best National University
Tuition:  $25,523 per year
State:  Wisconsin
Acceptance:  57.25%

This is a named option (formally documented sub-major) professional program in the Statistics M.S. Data science is the study of extracting knowledge from data. Our MS Statistics: Statistics and Data Science option combines a background in statistical theory, methods and practice related to data science with communication skills to train a new generation of leaders who will use data effectively for planning and decision making.

Data science concepts enable students to translate vague questions complex data into pragmatic analysis steps using statistical thinking. We build from basic methods that compare groups and relate measurements, to complicated models that depend on the way data are gathered. In practice, planning and decision making involve choices analyze data and communicate findings. These concepts will be grounded at key points with projects that involve real data and or realistic simulated data.

Graduate admissions is a two-step process between academic programs and the Graduate School. Once you have researched the graduate program(s) you are interested in, apply online.

Data Science does not admit in the summer.

The MS Statistics: Statistics and Data Science program is intended for three types of students:.

They may request transfer of up to 15 credits from their VISP coursework.

MS Statistics: Statistics and Data Science for workforce students: Students coming with 5 or years in the workforce who have worked extensively with data and are seeking a well-rounded training. Some students may be part-time students (6-8 credits per semester) if they remain in the workforce.

MS Statistics: Statistics and Data Science for other general students: Students who have BS degrees or expected to obtain BS degrees prior to the first semester as MS Statistics: Statistics and Data Science students.

The Theory of Single Variable Calculus (or another advanced analysis course).

Resources to help you afford graduate study might include assistantships, fellowships, traineeships, and financial aid. Further funding information is available from the Graduate School. Be sure to check with your program for individual policies and restrictions related to funding.

Students enrolled in this program are not eligible to receive tuition remission from graduate assistantship appointments at this institution.

Accelerated: Accelerated programs are offered at a fast pace that condenses the time to completion. Students are able to complete a program with minimal disruptions to careers and other commitments.

Students have the advantages of face-to-face courses with the flexibility to keep work and other life commitments.

Hybrid: These programs combine face-to-face and online learning formats.

Online: These programs are offered 100% online. Some programs may require an on-campus orientation or residency experience, but the courses will be facilitated in an online format.

Professional Skills Courses (6 credits minimum from the following courses):.

Students are not guaranteed a seat in an elective course taught from outside of the Statistics department. They must obtain departmental permission to enroll.

Special Topics in Statistics (may be repeated with different topic titles).

With program approval, students are allowed to count no than 9 credits of graduate coursework from other institutions toward the graduate degree credit and graduate coursework (50%) requirements.

Students are required to follow all of the requirements listed in the program handbook for maintaining satisfactory academic program. In particular, students must maintain a 3.0 GPA and have a minimum grade of B for any course used to satisfy program requirements. Students who do not make satisfactory academic progress for multiple semesters may be dismissed from the program.

Students are expected to complete the program in 2 semesters (if coming from the Statistics VISP program) or 3-4 semesters.

These resources may be helpful in addressing your concerns:.

Take advantage of the Graduate School professional development resources to build skills, thrive academically, and launch your career.

Online MEng in Engineering Data Analytics

The admissions process has been designed to conduct a holistic review of your likelihood of success in the program. Decisions are based on your academic and professional background.

Admission requirements for the Master of Engineering in Data Analytics degree program are listed below.

1. A bachelor of science (BS) degree in engineering from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or the equivalent. International applicants must have a degree comparable to an approved U.S. bachelor’s degree.

2. A minimum undergraduate grade-point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work) or a master’s degree with a minimum cumulative GPA of 3.00. Applicants from an international institution must have a strong academic performance comparable to a 3.00 for an undergraduate or master’s degree. All GPAs are based on a 4.00 scale. We use your institution’s grading scale; do not convert your grades to a 4.00 scale.

3. Applicants whose native language is not English must provide scores from the Test of English as a Foreign Language (TOEFL). The minimum acceptable score on the TOEFL is 580 on the written version, 243 on the computer version, or 92 on the Internet version.

4. GRE is not required. Applicants who have taken the test are encouraged to submit their scores.

5. Registration as a professional engineer by examination, if achieved, should be documented to support your application.

˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
The University of Texas at Austin logo
Ranked as:  #38 in Best National University
Tuition:  $22,886 per year
State:  Texas
Acceptance:  31.95%

The University of Texas at Austin's online Master of Science in Data Science program equips students with a solid foundation in statistical theory, while also gearing them up for practical applications in computer science. The curriculum boasts courses in simulation, visualization, machine learning, and optimization, offering a well-rounded education that merges both statistical and computational viewpoints. As data science continues to thrive in cutting-edge industries, this program ensures that graduates are well-prepared to stand out in the competitive job landscape.

The MSDS program offers a comprehensive curriculum that fuses elements of both statistics and computer science, equipping graduates with a versatile toolkit for solving complex data-related challenges. Hosted online, this master's degree in data science is a collaborative endeavor between the Department of Statistics and Data Sciences and the Department of Computer Science at the University of Texas at Austin.

The program consists of 30 credit hours, broken down into nine mandatory course hours and an additional 21 elective hours. Each course is worth 3 credit hours, and a total of 10 courses are required for graduation. Although not obligatory, it is advised that students complete the three foundational courses outlined below before progressing to other required courses and selecting two of the three available electives. This program can be completed over the course of 18 to 36 months.

Some of the unique features of the online Master of Science in Data Science program are:

  • The MSDS program is supported by tenured faculty from both the statistics and computer science departments.
  • The curriculum teaches advanced approaches, techniques, and skills in both statistics and computer science.
  • Course topics include probability and simulation, regression analysis, data visualization, machine learning, data structures, and optimization.
  • Students graduate with a strong foundation in data analysis as well as applied training in machine learning and computational methods.
  • The program aims to offer a multidisciplinary education, enabling students to develop a versatile skill set applicable to various data-centric roles.

Master of Data Science Online - No GRE

The admissions committee will review all applications to make certain applicants are prepared to succeed in the online Master of Data Science program.

  • The program requires applicants to have a bachelor’s degree from a regionally accredited institution in the United States or a comparable degree from a foreign academic institution.
  • It is possible to earn admission to a CDSO program with an upper-division and graduate-level GPA below 3.0. However, a petition to the UT Graduate School will be required in that case.
  • A GRE score is not required for admission to any CDSO program. If provided, GRE scores will be considered. Even though there is No GRE test score requirement, applicants admitted to the computer science and data science programs usually have high quantitative scores (80th percentile or higher).
  • CV or Resume
  • Statement of purpose
Online Master's of Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
University of Illinois Urbana-Champaign logo
Ranked as:  #41 in Best National University
Tuition:  $30,083 per year
State:  Illinois
Acceptance:  63.3%

The online Master of Computer Science with a focus on Data Science (MCS-DS) is a coursework-only program, leading to an MCS degree with an emphasis on data science. To earn the MCS-DS, students must complete 32 credit hours, spread across eight graduate-level courses, each worth four credit hours. This specialized track mandates coursework in areas like machine learning, data mining, data visualization, and cloud computing. Offered by Illinois Computer Science, this track meets the MCS degree prerequisites but zeroes in on data science—the craft of deriving meaningful insights from vast data sets. To successfully complete the program, students need to pass a course from each of the four core areas, securing at least a B- grade.

Students enrolled in the online Master of Computer Science in Data Science program access their lectures via Coursera's MOOC platform. However, the Illinois faculty and teaching assistants provide guidance and evaluation through a comprehensive set of assignments, projects, and exams essential for university degree accreditation.

The benefits of an online Master of Computer Science with a focus on Data Science are:

  • Opportunity to complete a Master’s degree online in a highly relevant area.
  • Offered by the Illinois faculty known for pioneering these methods.
  • The MCS in Data Science (MCS-DS) is a non-thesis, coursework-only program.
  • Lectures are delivered via Coursera's MOOC platform.
  • An alternative option is available: the University of Illinois Online MCS for a broader course selection.

Online Masters in Data Science Degree

Admission requirements for the online M.S. degree in Data Science program at Southern Methodist University:

1. Hold a bachelor’s degree or its recognized equivalent from a regionally accredited institution.

2. Official Graduate Record Examination (GRE) scores are not required for the Master of Science in Data Science program at Southern Methodist University.

3. A nonrefundable $75 application fee, which can be paid online, is required.

4. One letter of Recommendation from a professional or academic reference.

5. A professional resume or curriculum vitae.

6. The Statement of Purpose should explain the interest in earning an M.S. in Data Science from SMU.

7. Official transcripts from every institution attended, including study abroad and community college programs.

8. Applicants whose native language is not English must provide Official Test of English as a Foreign Language (TOEFL) scores (90+) or International English Language Testing System (IELTS) scores (6.5+).

Online Master of Computer Science in Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
Purdue University-Main Campus logo
Ranked as:  #51 in Best National University
Tuition:  $28,794 per year
State:  Indiana
Acceptance:  67.15%

Purdue University's online Master of Science in Statistics with a focus on Data Science in Finance offers a curriculum crafted to empower students with the skills to tackle contemporary financial market challenges through artificial intelligence and cutting-edge data science methodologies. Accessible from any location, this program is a joint initiative between Purdue's College of Science's Department of Statistics and the Mitchell E. Daniels, Jr. School of Business. It furnishes students with sought-after competencies, and hands-on practice, and readies them for lucrative careers in quantitative finance.

The Master's in Data Science for Finance is structured with the working professional in mind. With a commitment of roughly 20 hours a week, students can earn 30 credits over a two-year period. All coursework is fully asynchronous, allowing for remote access at any time that suits your schedule. Taught by esteemed faculty from the Danile's School of Business and the Department of Statistics, this online program mirrors the quality of its on-campus counterpart. The flexible course timetable is tailored to meet the needs of professionals eager to acquire critical data skills without interrupting their career trajectory.

Students in the program will acquire a comprehensive set of data skills tailored for the financial industry, encompassing:

  • Specialized data science and machine learning methods for the financial domain.
  • Fundamentals of quantitative finance.
  • Strategies for investment and risk mitigation.
  • Statistical and computational expertise for enhancing product development and assessment.
  • Portfolio management approaches for high-frequency trading environments.
  • Proficiency in programming languages such as C++, C#, MATLAB, VBA, Python, and R.

Online Master’s Degree in Data Science in Finance

The admission requirements for the online master’s degree in Data Science in Finance are:

  • A bachelor’s degree from an accredited institution
  • Cumulative GPA of 3.0 or equivalent
  • An application fee of $60 ($75 for international students)
  • Professional resume
  • Official transcripts from all universities attended, including transfer credits
  • Two (2) letters of recommendation
  • Academic Statement of Purpose
  • Personal History Statement

The GRE or GMAT exam is not required for admission. Applicants who have taken the GRE or GMAT exam may upload their scores into the online application system for consideration.

Online Master’s Degree in Data Science in Finance
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
Syracuse University logo
Ranked as:  #62 in Best National University
Tuition:  $41,714 per year
State:  New York
Acceptance:  68.72%

The M.S. in Applied Data Science interdisciplinary curriculum focuses on four key learning competencies: capture and organization, technical analysis, visualization and communication, and practical application. Each competency provides students the opportunity to develop a portfolio of resources while growing their specialization in one or more areas of interest.

The online M.S. in Applied Data Science takes an interdisciplinary approach to ensure graduates emerge fully prepared to succeed as data science professionals. The online M.S. in Applied Data Science program prepares students to use applications of data science so they can effectively collect, organize, and manage data as well as master data visualization tools to communicate results in a wide range of business situations.

The Master of Science in Applied Data Science program, offered online, upholds the same rigorous academic quality as Syracuse University's traditional, on-campus program. Comprising 34 credit hours, the curriculum can be fast-tracked to completion in just 18 months. Courses foster collaboration, problem-solving, and analysis with diverse professionals. As a result, students will learn practical analytical and technical skills to make data-driven decisions using data capture, management, analysis, and communication.

Acquire a robust foundation in data science and choose from four specialized tracks to tailor your degree:

  • Data and Business Analytics: Dive into the business applications of data science for actionable insights.
  • Language Analytics: Concentrate on the analysis of unstructured language data.
  • Data Pipelines and Platforms: Investigate data collection methods and delve into the intricacies of data engineering.
  • Artificial Intelligence: Master advanced deep learning predictive models while adhering to ethical standards.

Online Masters in Data Science - No GRE

To apply to the online Masters in Data Science program, students must submit the following:

  • Resume
  • Transcripts,
  • Two letters of recommendation
  • A personal statement about why you want to pursue your Master of Applied Data Science at Syracuse University
  • No GRE scores are required.
Online Masters in Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
University of California-Riverside logo
Ranked as:  #89 in Best National University
Tuition:  $28,686 per year
State:  California
Acceptance:  65.78%

The online Master of Science in Engineering is a comprehensive program that combines leadership strategy with technical skills. It offers a specialization in Data Science, where students can learn how to distill valuable insights from large datasets. The coursework is carefully designed to equip graduates with efficient techniques for identifying, analyzing, and visualizing hidden patterns within data, enabling them to extract critical information.

This 32-credit program includes 16 credits of core engineering courses and an additional 16 credits within the student's chosen specialization, allowing them to customize their education to align with their specific area of expertise.

The master's in data science program is conducted entirely online for your convenience, allowing you to graduate in as little as 13 months without disrupting your current job. The program's courses are designed to establish a strong foundation, meeting the growing demand for skilled data management and administration professionals.

If you hold engineering experience or possess a bachelor’s degree in engineering, regardless of your specific emphasis, we encourage you to explore our online data science master’s program.

The data science specialization offers a wide array of potential career opportunities, reflecting the high demand for data professionals across various industries. Companies in fields such as healthcare, finance, telecommunications, government, science, and retail now seek skilled professionals for roles in data science, data analysis, and data visualization.

Online Master Degree in Data Science - No GRE

The admission requirements for the online Master's Degree in Data Science program are:

  • A bachelor's degree, or its equivalent, from an accredited institution.
  • A minimum of a 3.0 undergraduate GPA or B-equivalent (if GPA is not on a 4.0 scale).
  • All applications are initially reviewed by the graduate program before a recommendation is submitted to the Graduate Division for final approval.
  • GRE scores are not required.
  • Three (3) letters of recommendation
  • Statement of Purpose
  • Personal Statement
Online Master Degree in Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details
Drexel University logo
Ranked as:  #105 in Best National University
Tuition:  $37,074 per year
State:  Pennsylvania
Acceptance:  77.19%

In Drexel University's online Master's degree program in Data Science, you will be immersed in the world of problem-solving for your organization. Here, the primary focus is on crafting machine learning algorithms to analyze and harness data effectively. The program's interdisciplinary curriculum is designed to equip you with a comprehensive skill set that will make you job-ready upon graduation, complete with proficiency in cutting-edge industry technologies. The practical skills you acquire can be seamlessly applied in diverse sectors, ranging from banking to healthcare, and various fields in between.

Drexel's online master's program in data science is an amalgamation of computer science and information systems. Within your coursework, you'll acquire skills in data manipulation and summarization, delve into data and text mining, discern trends, and shape your discoveries into a coherent narrative for effective communication within your organization. Beyond the core curriculum, you can opt for one of three elective tracks: Analytics, Mining, and Algorithms; Visualization and Communication; or Management and Accountability. The program concludes with a capstone project, allowing you to apply your newfound knowledge in a practical setting.

The online program consists of 45 credits and is structured into four 10-week quarters per year, offering a more accelerated pace compared to the traditional two-semester system. This arrangement allows you to complete more courses in a shorter timeframe. Additionally, it's important to note that one-semester credit is equivalent to 1.5 quarter credits within this program. For added flexibility, students have the option to transfer up to 9 approved credits, which is equivalent to three courses, into the program.

Drexel's online master's degree in data science is crafted for busy professionals looking to enhance their skills and assume leadership roles in the data science arena. The program is structured to equip you with the necessary workplace-ready capabilities, blending fundamental understanding, practical training, and computational problem-solving to ensure your success in this field.

Admission Requirements - Online Master’s in Data Science - No GRE

The admission requirements for the online Master’s degree program in Data Science are:

  • A four-year bachelor's degree in any major from a regionally accredited institution in the United States or an equivalent international institution.
  • 3.0 GPA preferred in a prior completed degree, bachelor's or above
  • Official transcripts from all universities or colleges and other post-secondary educational institutions attended
  • One letter of recommendation is required, and two are suggested (academic, professional, or both)
  • Essay/Statement of Purpose
  • Resume

No GRE scores are required for admission to the online Master’s degree program in Data Science.

Online Master’s Degree Program in Data Science
˅ More Details
  • GRE Required:  No
  • Research Assistantships:  Register to view the details
  • Teaching Assistantships:  Register to view the details
  • Financial Aid: Register to view the details

What kind of scholarships are available for Online Master's Programs in Data Science?

We have 209 scholarships awarding up to $2,025,183 for Masters program in for Data Science, targeting diverse candidates and not restricted to state or school-based programs.

Scholarship nameAmountCredibility
ASNT Fellowship Award$20,000High
Google Lime Scholarship$5,000High
The Innovator’s Grant$3,600High
GeneTex Scholarship Program$2,000High
GMiS STEM Scholarships$500High

Find scholarships and financial aid for Data Science graduate programs

$500 $20000

How can I find the most affordable universities offering Online Masters programs in Data Science?

Today, data science is the most sought-after career worldwide. Although master's or doctoral degrees are commonly held by data scientists, there are also certificate programs in the field. The top online master's in data science programs are a fantastic location to begin your career as a data scientist and gain deeper knowledge of the subject. Here is a compiled list of the top data science masters programs available online, organized by characteristics related to data science salaries.

75 accredited universities offer an online Master's program in Data Science. The tuition for an online master's program ranges from $5,090 to $123,096.

Our promise is that we will help you find the accredited college for the online Master's at an affordable price tag. Use our Match me with Online Master's program to find the college that fits your needs and is affordable.

Affordable Online Master's program in Data Science

Do the universities which do not require GRE for admission to the Online Masters program in Data Science accredited?

All universities found on CollegeHippo that offer a No GRE Online Master's program in Data Science are accredited. There are many well-ranking and well-known universities offering Master's programs in Data Science.

Embarking on a journey to advance your career in the dynamic field of data science? Discover the top and best online master's programs in Data Science that are designed to equip you with the skills and knowledge needed to thrive in this data-driven era. In this comprehensive guide, we'll explore the leading online master's programs known for their excellence in data science education, flexible learning options, and their capacity to empower students from diverse backgrounds to become data science professionals. Whether you're a working professional seeking career growth or someone eager to break into the field, these programs offer a pathway to success in the exciting world of data science.

Online Master's degree in Data Science is offered by 66 US universities. The tuition for the Master's degree can range from $5,090 per year at Johns Hopkins University to $75,060 at University of California-Berkeley.

Best Universities for Online Master's in Data Science

Is there a one year online Master's program in Data Science?

Most of the Nationally ranked accredited universities offer 2 years master’s program, some of the schools are offering 1-year and 18-month Online Master's degrees. If you are able to meet the credit requirements, you can finish an 18-month program in one year, making it a one-year program.

26 Universities offer an online Master's program within One Year - 18 months. The tuition for a Master's can range from $8,774 to $77,568.

Online Masters 1 year - 18 months in Data Science

What is Data Science Master’s Program?

A Data Science Master's degree is a modern graduate program that helps data scientists utilize the knowledge and improve organizational and business processes by incorporating core principles from math, computer science, analytics, and information science. A master's degree in data science is great for anyone interested in advancing their career in data science or learning more about machine learning, cluster processing, databases, data visualization, statistics, data mining, and other disciplines.

What do you learn in the Data Science Masters degree program?

After completing this program, students will be able to create and analyze mathematical models for large-scale data, develop computational pipelines for high-dimensional and large-scale complex data, collect and handle vast data sets, generate efficient data displays and visualizations, apply machine learning algorithms to make forecasts, and refine decisions. Students will work their way through a varied program that includes a number of disciplines, but all with the goal of becoming data science and research leaders. Because the students approach data science holistically, as part of a team, and with the utmost honesty, the coursework includes both quantitative and humanist methodologies, as well as plenty of teamwork.

What is the difference between Data Science and Data Analytics Master’s programs?

In the data world, terms such as “data analytics” and “data science” are also used interchangeably. To determine which field is best for you, analyze how these fields differ and what these differences signify in terms of context and future career growth opportunities.

Data science is the study of where data comes from, what it means, and how it may be used to develop business and IT strategies. Data analytics, on the other hand, is the act of studying data sets in order to derive conclusions about the information they contain, sometimes with the use of specialized software and systems.

What are the career benefits of doing a Data Science Master’s degree?

Those seeking an advanced degree in data science have a bright future due to the field's rapid expansion. A wide range of businesses and organizations employ data scientists to evaluate data and provide recommendations. This implies that after earning your master's degree in data science, you'll have a plethora of job options. Among the positions available are Data Architect, Data Scientist, Business Intelligence Analyst, Data Mining Engineer, Management analyst, data analyst, data engineer, financial analyst manager, and others. Each of these occupations has promising prospects, with the Bureau of Labor Statistics (BLS) predicting faster-than-average growth across the board.

Data Science is projected to grow 11 percent from 2016 to 2026, faster than average for all occupations. The median pay for Data Science in 2018 was $84,950. The number of jobs was 113730.

Get more details on Jobs, Salaries and Career after Masters in Data Science.

What is the role of Data Scientists?

These days, a lot of people desire to work as data scientists. Because of the great compensation and excitement that the job provides, it is one of the top career alternatives available. It's a bright career that's in high demand across numerous industries and will continue to be relevant in the future.

In recent years, data scientists have become a more important part of management teams as they analyze and interpret large amounts of data in order to uncover meaningful information.

According to the Glassdoor, data scientist job is ranked #2 in America.

The number of jobs for all data professionals in the United States will rise by 364,000 positions to 2,720,000 by 2020, according to IBM.

The average base salary of a Data Scientist is around $96,596 per year.

Are the Data Science Masters Programs even offered by the Universities Online?

Yes, there are more than 50 universities that offer Data Science Online Master’s program. To know more, see Best online master's programs in Data Science.

Is the GRE required for all the Universities which offer Master’s Program in Data Science?

No, there are even universities that offer Master’s programs in Data Science without GRE. See Masters programs in Data Science which don't require GRE to get the complete list of universities offering them.

Are there Scholarships and Financial aid available for Graduate students in Data Science?

Scholarships are available for graduate students in Data Science from Universities as well as external agencies. See Scholarships and financial aid for Masters and graduate program in Data Science for more information.

How will you rate the search results?

 5.0 rating, based on 2 reviews

Your review has been sent

Select rating
Your review must be at least 10 characters long
Your review must be not longer than 2000 characters
1 year ago
We also advise you to take the GRE. Most of the top-ranked universities give more weight to the GRE scores. Even if your GPA scores are low, you may get admitted to the university of your choice with high GRE scores. Along with this, you have 1 year of work experience. This will also give your resume some weight.
1 year ago
I do not have a high GPA in my undergrad and only 1 year work experience. I was advised to take the GRE to offset low GPA in order to get into a good program. Is it advisable to take GRE or I should just apply?