Online data science master’s degrees guide

Are you interested in pursuing a career as a data scientist? A master’s degree online might be the pathway for you — offering flexibility, a global network, and rigorous curriculum options. Browse degrees from leading universities offering specializations in analytics, artificial intelligence, data engineering, and more. Whether you’re searching for part-time enrollment, asynchronous learning, or applications with no GRE required, there are options available.

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University of California, Berkeley

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Master of Information and Data Science

Earn your Master’s in Data Science online from UC Berkeley in as few as 12 months.

  • Complete in as few as 12 months
  • No GRE required

The University of North Carolina at Chapel Hill

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Master of Applied Data Science

In UNC-Chapel Hill’s online Master of Applied Data Science, you’ll learn to tell a story through data, work in teams, and apply data insights to solve challenges. Graduate in as few as 16 months. No GRE required.

  • Complete the program in as few as 16 months full time.
  • No GRE scores required.

Syracuse University

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Master of Science in Applied Data Science

Syracuse University offers an online MS in Applied Data Science for professionals interested in gaining analytical and technical skills to become leaders in data science.

  • Earn your master’s in as few as 18 months
  • GRE scores are not required
  • Earn an online master’s degree from top-ranked Syracuse University without relocating or leaving their job.

Southern Methodist University

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Master of Science in Data Science

Designed for data science professionals looking to advance their careers, DataScience@SMU is an online Master of Science in Data Science from Southern Methodist University.

  • No GRE required.
  • Complete in as little as 20 months.
  • Two starts per year.

Hawaii Pacific University

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Master of Science in Data Science

The online MS in Data Science program from Hawai‘i Pacific University prepares students to interpret both conventional and unconventional data, strengthen creative problem-solving skills, and apply cutting-edge data analysis expertise to nearly every industry.

  • 12 months to complete full time and 24 months part time
  • Standardized test scores not required (No GRE/GMAT) 
  • Students learn key skills such as data analysis, data mining, data visualization, programming, machine learning, and more

Maryville University

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Master's in Data Science

Earn your Master of Science in Data Science online from Maryville University in as few as two years.

  • Graduate in as few as two years.
  • Learn 100% online.
  • Apply with no entrance exams or fees, and choose from 3 start dates.
  • Earn an experience-driven degree and learn from industry leaders.

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Choose the best online data science master’s for you

Institutional reputation may matter to some employers, but program fit, curriculum, faculty access, student support, cost, and outcomes are often more useful points of comparison when choosing an online data science master’s program.

How long has the online data science degree been offered? 

Data science programs continue to evolve, and new online options appear regularly. Longevity alone does not guarantee quality, but an established program may offer a longer track record, more alumni feedback, and more mature student support processes. Consider questions such as:

  • Have the instructors and professors taught these or similar courses before, either online or on-campus? 
  • Are student support staff aware of the hurdles learners face in an online program, and are solutions and resources available?
  • Is there a network of active and former students available to learn from and ask questions?

Where can I see a demo of the data science degree and online student experience? 

Certain institutions offer real-time, face-to-face interactions with peers, while others provide asynchronous learning opportunities through discussion posts. Numerous online master’s programs in data science may utilize one or both of these methods, but individual preferences ultimately play a significant role in determining the best fit.

Some programs will offer prospective students an opportunity to preview what the learning experience is like — for example, through a recorded video, a live walk-through of the platform, access to an asynchronous lecture, or a Q&A session.

What resources/datasets will I have access to while earning an online data science master’s? 

Students in online data science programs may have access to university computing resources, software licenses, research support, project-based courses, and public or licensed datasets, but availability varies by school.  Another option is to seek opportunities in coding competitions on platforms like Kaggle. Some programs also highlight research centers, industry partnerships, labs, or incubator-style experiences. These opportunities can strengthen applied learning, but they are not available in every program. 

Trying to decide which online master’s in data science is best for you? Consider university rankings in quantitative analysis, computer science, and statistics, as well as institutional accreditation, curriculum depth, faculty expertise, student support, required residency or immersion components, total cost, and career services.

List of online master’s in data science programs

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Bay Path University

Master of Science in Data Science

Longmeadow, Massachusetts

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Recommended 3.0 GPA or above
  • Two letters of recommendation
  • Resume or CV
  • Personal statement
Learn more about the Master of Science in Data Science from Bay Path University

Bellevue University

Master of Science in Data Science

Bellevue, Nebraska

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Minimum GPA of 2.75
  • Transcripts
Learn more about the Master of Science in Data Science from Bellevue University

Cabrini University

Master of Science in Data Science

Radnor, Pennsylvania

Name of Degree: Master of Science in Data Science

Enrollment Type: Part-Time

Length of Program: 2 years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree
  • 2.75 GPA
  • Undergraduate degree in computer science or related field OR coursework in object-oriented programming & database management systems
  • Previous coursework in Statistics and college-level math required
  • Personal statement
  • Two letters of recommendation
  • Resume or CV
Learn more about the Master of Science in Data Science from Cabrini University

Central Connecticut State University

Mathematical Science Department

Master of Science in Data Science

New Britain, Connecticut

Name of Degree: Master of Science in Data Science

Enrollment Type: N/A

Length of Program: N/A

Credits: 31

Concentrations:

Bioinformatics, Text Analytics, Computational Methods, Advanced Methods in Data Science

Admission Requirements:

  • Bachelor’s degree with grade “B” or better in two applied statistics courses
  • 3.0 GPA in post-baccalaureate coursework
  • Essay
  • One letter of recommendation
  • Transcripts
Learn more about the Master of Science in Data Science from Central Connecticut State University

City University of New York (CUNY)

School of Professional Studies

Master of Science in Data Science

New York, New York

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree from an accredited institution
  • 3.0 GPA or higher
  • Personal statement
  • Resume
  • Two letters of recommendation
  • Individual interview may be necessary
  • Completion of prerequisite courses or mandatory challenge exam
Learn more about the Master of Science in Data Science from City University of New York (CUNY)

Clarkson University

Master of Science in Applied Data Science

Beacon, Potsdam, and Schenectady, New York

Name of Degree: Master of Science in Applied Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree from an accredited university
  • Unofficial transcripts
  • Official transcripts
  • Resume and CV
  • Three letters of recommendation
  • GRE Scores
  • 3.0 GPA
  • IELTS or TOEFL Scores (for non-native english speakers)
Learn more about the Master of Science in Applied Data Science from Clarkson University

DePaul University

College of Computing and Digital Media

Master of Science in Data Science

Chicago, Illinois

Name of Degree: Master of Science in Data Science

Enrollment Type: N/A

Length of Program: N/A

Credits: 52

Concentrations:

Computational Methods, Health Care, Marketing, Hospitality

Admission Requirements:

  • Bachelor’s degree
  • 3.0 GPA
  • Completed coursework in calculus I and calculus II with a B- average
  • English language proficiency test for international applicants
  • Resume
  • Official transcripts
Learn more about the Master of Science in Data Science from DePaul University

Drexel University

Master of Science in Data Science

Philadelphia, Pennsylvania

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 2+ years

Credits: 45

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Minimum GPA 3.0
  • Official transcripts
  • One letter of recommendation
  • Essay/statement of purpose
  • Resume
Learn more about the Master of Science in Data Science from Drexel University

Elmhurst University

Master of Science in Data Science and Analytics

Elmhurst, Illinois

Name of Degree: Master of Science in Data Science and Analytics

Enrollment Type: Full-Time

Length of Program: 2 years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Official transcripts
  • A basic course in statistics (with a grade of C or better) and prior coursework in programming or equivalent professional experience are prerequisites to the program
  • One year of professional work experience
  • Resume
  • Admission interview with the program director
  • Three letters of recommendation
  • Statement of purpose
Learn more about the Master of Science in Data Science and Analytics from Elmhurst University

Harvard University

"Master of Science in Health Data Science "

Cambridge, Massachusetts

Name of Degree: “Master of Science in Health Data Science “

Enrollment Type: Full-Time and Part-Time

Length of Program: 1.3+ years

Credits: 60

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree 
  • Official transcripts from all programs attended
  • TOEFL/IELTS Score for International Students
  • Prerequisite courses
  •  Professional resume or CV
  • Statement of purpose
  • 3.0 GPA
Learn more about the "Master of Science in Health Data Science " from Harvard University

Indiana University

Luddy School of Informatics, Computing, and Engineering

Master of Science in Data Science

Bloomington, Indiana

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations:

Data analytics and visualization, Intelligent systems engineering, Cybersecurity

Admission Requirements:

  • Bachelor’s degree
  • 3.0 GPA
  • Prior mathematical knowledge, object-oriented programming knowledge, communication and critical thinking skills
  • CV or Resume
  • Personal statement
  • Contact information for one professional and/or academic recommendation
Learn more about the Master of Science in Data Science from Indiana University

Johns Hopkins University

Whiting School of Engineering

Master of Science in Data Science

Baltimore, Maryland

Name of Degree: Master of Science in Data Science

Enrollment Type: Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • 3.0 GPA
  • Official transcripts
  • CV or Resume
  • Completion of prerequisites coursework
Learn more about the Master of Science in Data Science from Johns Hopkins University

Lewis University

College Of Aviation, Science And Technology

Master of Science in Data Science

Romeoville, Illinois

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 18 – 24 months

Credits: 33

Concentrations:

Cognitive and Prescriptive Analytics, Data Engineering, Cybersecurity Data Science, Data Science Research, Computational Biology and Bioinformatics

Admission Requirements:

  • Bachelor degree from an accredited university
  • 3.0 GPA
  • Undergrad coursework in calculus
  • Professional resume
  • Official transcripts
  • Statement of purpose
  • Two letters of recommendation
  • TOEFL score for international students
Learn more about the Master of Science in Data Science from Lewis University

Merrimack College

School of Engineering and School of Business

Master of Science in Data Science

North Andover, Massachusetts

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 32

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Transcripts
  • Resume
  • Personal statement
  • Two letters of recommendation
Learn more about the Master of Science in Data Science from Merrimack College

New England College

Master of Science in Data Science

Henniker & Manchester, New Hampshire

Name of Degree: Master of Science in Data Science

Enrollment Type: Part-Time

Length of Program: 2 years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree 
  • Official transcripts from all programs attended
  • TOEFL/IELTS Score for International Students
  • Prerequisite courses
  • Professional resume/CV
  • Writing sample
  • 3.0 GPA
  • Three letters of recommendation 
  • GRE Scores
Learn more about the Master of Science in Data Science from New England College

Northcentral University

Master of Science in Data Science

San Diego, California

Name of Degree: Master of Science in Data Science

Enrollment Type: N/A

Length of Program: 1.5+ years

Credits: 30

Concentrations: N/A

Oklahoma State University

Master of Science in Business Analytics and Data Science

Stillwater, Oklahoma

Name of Degree: Master of Science in Business Analytics and Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 2 years

Credits: 33

Concentrations: N/A

Admission Requirements:

  • Official transcripts
  • Personal statement
  • Three letters of recommendation
  • GMAT or GRE waivers available
Learn more about the Master of Science in Business Analytics and Data Science from Oklahoma State University

Regis University

Master of Science in Data Science

Denver, Colorado

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree or relevant work experience
  • Official transcripts
  • Admissions essay
  • Resume
  • 3.0 GPA
Learn more about the Master of Science in Data Science from Regis University

Rochester Institute of Technology

Master of Science in Data Science

Rochester, New York

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time

Length of Program: 2 years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Official transcripts
  • Recommended minimum 3.0 GPA
  • Resume
  • Two letters of recommendation
  • Personal statement
  • College level credit or practical experience in computer programming and statistics
  • GRE scores only required for individuals with degrees from international universities
Learn more about the Master of Science in Data Science from Rochester Institute of Technology

Saint Mary's College

Master of Science in Data Science

Notre Dame, Indiana

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time

Length of Program: 2 years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree – preferred focus on quantitative subjects
  • Official transcripts
  • Resume
  • One letter of recommendation
  • Personal statement
  • One semester of calculus preferred
  • Familiarity with computer programming, statistics and linear algebra
  • English language test
Learn more about the Master of Science in Data Science from Saint Mary's College

Technological University Dublin

Master of Science in Computing in Applied Data Science & Analytics

Dublin, Ireland

Name of Degree: Master of Science in Computing in Applied Data Science & Analytics

Enrollment Type: Part-Time

Length of Program: 2 years

Credits: 7

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree in Computing, Science, Engineering, Business with IT, or equivalent qualification
  • Minimum 2.5 GPA
  • Official transcripts
  • Resume or CV
  • Completion of supplemental questions/survey
Learn more about the Master of Science in Computing in Applied Data Science & Analytics from Technological University Dublin

University of California – Santa Barbara

Master of Arts in Statistics – Data Science Track

Santa Barbara, California

Name of Degree: Master of Arts in Statistics – Data Science Track

Enrollment Type: Full-Time and Part-Time

Length of Program: N/A

Credits: 42

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree
  • 3.0 GPA
  • Unofficial/Official transcripts
  • TOEFL/IELTS Score for International Students
  • “B” or better in previously completed statistics courses
Learn more about the Master of Arts in Statistics – Data Science Track from University of California – Santa Barbara

University of California Los Angeles

Samueli School of Engineering

Master of Science in Engineering with Certificate of Specialization in Data Science Engineering

Los Angeles, California

Name of Degree: Master of Science in Engineering with Certificate of Specialization in Data Science Engineering

Enrollment Type: N/A

Length of Program: 24 Months

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree in an engineering discipline, mathematics or physics
  • 3.0 GPA in last two years of undergraduate work
  • GRE test scores, waiver available
  • TOEFL/IELTS scores for international students
  • Statement of purpose
  • Recommendations
Learn more about the Master of Science in Engineering with Certificate of Specialization in Data Science Engineering from University of California Los Angeles

University of Illinois at Urbana-Champaign

The Grainger College of Engineering Computer Science

Master of Computer Science in Data Science

Champaign County, Illinois

Name of Degree: Master of Computer Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 32

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree
  • 3.0 GPA
  • Unofficial/Official transcripts
  • Resume or CV
  • Statement of Intent
  • Three letters of recommendation
  • TOEFL/IELTS Score for International Students
Learn more about the Master of Computer Science in Data Science from University of Illinois at Urbana-Champaign

The University of Kansas

Applied Statistics, Analytics & Data Science Graduate Program

Overland Park, Kansas

Name of Degree: Applied Statistics, Analytics & Data Science Graduate Program

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Undergraduate degree
  • Unofficial/Official transcripts
  • Resume or CV
  • Statement of purpose
  • Three letters of recommendation
  • TOEFL/IELTS Score for International Students
  • Prerequisite courses
  • 3.0 GPA
  • No GRE required 
Learn more about the Applied Statistics, Analytics & Data Science Graduate Program from The University of Kansas

University of Missouri

Master of Science in Data Science and Analytics

Columbia, Missouri

Name of Degree: Master of Science in Data Science and Analytics

Enrollment Type: Full-Time and Part-Time

Length of Program: 2 years

Credits: 34

Concentrations:

Geospatial, BioHealth Analytics, High Performance Computing, Human-Centered Science Design, Data Journalism/Strategic Communication

Admission Requirements:

  • Bachelor’s degree
  • Unofficial transcripts
  • Resume
  • Personal Statement
Learn more about the Master of Science in Data Science and Analytics from University of Missouri

University of Notre Dame

College of Science

Master of Science in Data Science

Notre Dame, Indiana

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time

Length of Program: 2+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Resume or CV
  • Personal statement
  • TOEFL or IELTS scores if applicable
  • Two letters of recommendation
  • Unofficial transcripts
Learn more about the Master of Science in Data Science from University of Notre Dame

University of the Pacific

School of Engineering and Computer Science

Master of Science in Data Science

San Francisco, California

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time

Length of Program: 2 years

Credits: 32

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • Coursework completed in linear algebra, statistics and programming in a high-level language
  • 2.65 GPA, 3.0 or higher preferred for competitive applicants
  • Official transcripts
  • Two letters of recommendation
  • Resume
  • Statement of interest
  • TOEFL or IELTS for international applicants
Learn more about the Master of Science in Data Science from University of the Pacific

University of Virginia

School of Data Science

Master of Science in Data Science

Charlottesville, Virginia

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: Less than 1 year

Credits: 32

Concentrations: N/A

Admission Requirements:

  • Bachelor’s Degree
  • Unofficial transcripts
  • Completion of prerequisite courses
  • Statement of purpose
  • Two letters of recommendation
  • Resume or CV
Learn more about the Master of Science in Data Science from University of Virginia

University of Wisconsin

Master of Science in Data Science

Madison, Wisconsin

Name of Degree: Master of Science in Data Science

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 36

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree
  • 3.0 GPA
  • Completion of prerequisite courses
  • Two letters of recommendation
  • Resume or CV
  • Personal statement
Learn more about the Master of Science in Data Science from University of Wisconsin

Wayne State University

College of Engineering

Master of Science in Data Science and Business Analytics

Detroit, Michigan

Name of Degree: Master of Science in Data Science and Business Analytics

Enrollment Type: Full-Time and Part-Time

Length of Program: 1+ years

Credits: 30

Concentrations: N/A

Admission Requirements:

  • Bachelor’s degree from an accredited university
  • GMAT scores
  • Official transcripts
  • Goal statement
  • Resume or CV
  • Two letters of recommendation
  • IELTS or TOEFL Scores (for non-native english speakers)
  • 3.0 GPA
Learn more about the Master of Science in Data Science and Business Analytics from Wayne State University

What is an online master’s in data science?

An online master’s in data science is a graduate degree designed to help students build advanced skills in statistics, programming, machine learning, and data analysis through a flexible online format. At many universities, online students earn the same degree as on-campus students, and at some schools, the online program is the only available format. For many learners, online study can make it easier to balance school with work and personal responsibilities and may reduce expenses such as commuting or moving costs.

Expectations for earning your data science degree

Admission criteria for an online data science master’s and certificates vary, so make sure the program fits your academic background, quantitative preparation, and career goals.

Programs can include a blend of core courses and electives. Depending on the program, online learning may include recorded lectures, discussion forums, live class sessions, group projects, and virtual office hours.

Some online data science programs require a short in-person immersion, residency, or other face-to-face component, while others are fully online. These requirements vary by school, so confirm any on-campus expectations before you apply.

Gain programming skills and interpret data with a master’s in data science from our partner, Syracuse University.

Syracuse University

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Master of Science in Applied Data Science

Syracuse University offers an online MS in Applied Data Science for professionals interested in gaining analytical and technical skills to become leaders in data science.

  • Earn your master’s in as few as 18 months
  • GRE scores are not required
  • Earn an online master’s degree from top-ranked Syracuse University without relocating or leaving their job.

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What is the curriculum for an online data science master’s?

For students looking to become data scientists, evaluate online data science master’s programs by looking for graduate-level rigor, clear course sequencing, and applied work that builds technical and analytical depth. 

Common coursework often includes statistics, machine learning, data analysis, programming, and data visualization, with some programs also offering electives such as database engineering, database systems, natural language processing, or data engineering as specialization topics.

In addition, some master’s programs may include: 

  • Milestones such as presentations, project checkpoints, or capstone deadlines structure progress through the program. 
  • Team projects, practicums, or discussion-based components that give students experience collaborating on applied work. 
  • Capstone projects or portfolios that can serve as work samples.

Compare the online data science program’s curriculum with the university’s campus offerings. If the formats differ, compare the learning outcomes, course depth, faculty involvement, and any in-person requirements before deciding whether the program is a good fit.

What’s the difference between data science and computer science?

Data science and computer science are two related but distinct disciplines within the realm of technology and computing, both playing roles in today’s data-driven world. Data scientists use mathematics, statistics, and computer science to extract insights from structured and unstructured data. The primary goal of data science professionals is to leverage techniques such as data mining, machine learning, and data visualization to identify patterns, make predictions, and inform decision-making.

In contrast, computer science is a broader discipline that encompasses the study of algorithms, programming languages, software development, computer hardware, and computational theory. Computer science graduates may pursue roles such as software developers, network administrators, computer systems analysts, and cybersecurity specialists, among others, contributing to the development and maintenance of software and hardware systems that underpin modern society.

Admission requirements for online data science master’s programs

Admission requirements vary by university. Some common application materials and prerequisites may include:

Prerequisite coursework in programming, statistics, mathematics, or related quantitative subjects

  • Bachelor’s degree
  • Official transcripts
  • Résumé
  • Personal statement
  • Letters of recommendation
  • Relevant experience in data analytics, programming, statistics, or a related field
  • GRE scores, if required

What are the benefits of enrolling in an online data science master’s?

Flexibility

There are several potential benefits to earning a data science degree online, and flexibility is often one of the biggest.  Most universities offer part-time options for students who work full-time, though residency or in-person requirements vary by program. Asynchronous programs are often more schedule-friendly, but many still follow weekly deadlines, team projects, or other course milestones.

Other programs offer synchronous teaching, which is more structured, with students attending live online sessions at scheduled times. Some universities offer online master’s in data science programs with multiple start dates each year, while others admit students on a traditional academic calendar.

Faculty

Many data science programs feature faculty who combine academic expertise with applied or industry experience. Read up on the data science faculty profiles, which may include the same faculty who teach in on-campus programs, though that varies by school.

If they’re full-time tenured professors, look for evidence of active research, current publications, or applied collaborations. If they’re adjunct or part-time instructors, look for relevant professional experience in areas such as analytics, machine learning, software, or data engineering. A strong faculty roster can give students exposure to both theory and current industry practice. 

Networking

In addition to the institution’s reputation, networking with faculty, classmates, alumni, and industry speakers is one reason some students may opt for university programs over alternatives. Networking can support collaboration, mentorship, and career development, but the outcomes vary widely by program and by student.

Try looking for programs that incorporate networking opportunities, corporate days, guest speakers, or on-campus visits. Think about whether a program offers strong alumni engagement, employer connections, or optional in-person events that align with your goals. 

You might also want to examine the class profile to see who you’ll be meeting.

Unlock your data-driven future with a sponsored online master’s in data science

The University of North Carolina at Chapel Hill

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Master of Applied Data Science

In UNC-Chapel Hill’s online Master of Applied Data Science, you’ll learn to tell a story through data, work in teams, and apply data insights to solve challenges. Graduate in as few as 16 months. No GRE required.

  • Complete the program in as few as 16 months full time.
  • No GRE scores required.

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Master’s in data science online program FAQs

What is the difference between an online data science master’s and a traditional data science program?

An online data science master’s program may offer a curriculum similar to a traditional data science program, but is delivered digitally. This enables students to access course materials, engage with instructors and peers, and complete assignments from anywhere with an internet connection, providing flexibility for those with full-time jobs or other commitments. Either format can help prepare students for data-focused roles, depending on the program’s curriculum, rigor, and applied learning opportunities.

How do data science degrees differ from computer science degrees?

While both data science and computer science involve programming and data analysis, data scientists focus more on extracting insights from large datasets using statistical methods, machine learning, and data visualization techniques. In contrast, computer science generally emphasizes software development, algorithms, and computer systems.

Can I specialize in areas like natural language processing during my data science program?

Yes, many online data science master’s programs offer elective courses or concentrations in specialized fields, such as natural language processing, allowing students to tailor their learning experience to their interests and career goals. Natural language processing is a subfield of artificial intelligence that focuses on the interaction between computers and humans through the understanding, interpretation, and generation of human language.

What career opportunities are available for data scientists after completing an online data science master’s degree?

Graduates of data science programs may pursue roles such as data scientists, data analysts, machine learning engineers, or related analytics positions across industries, including technology, finance, healthcare, and government. Career outcomes vary by prior experience, technical background, location, and the specific program. Coursework in areas such as database systems, data analysis, and machine learning can help students build skills used in data-focused roles.

Can I earn an MS in data science online?

Yes, you can earn an online master’s degree in data science. Many universities offer an online version of the degree that may include a rigorous curriculum comparable to an on-campus program. Online programs may use a mix of asynchronous coursework, live online sessions, discussion forums, collaborative tools, and project-based learning.

Some degree programs may require an in-person component, such as an on-campus immersion, residency, or other face-to-face experience. Prospective students should check with their desired institution to confirm any additional requirements.

What is the difference between a data scientist and data analyst?

The primary difference between data scientists and data analysts lies in the scope of their work, the complexity of the problems they tackle, and the techniques they use. While both roles involve working with data and extracting insights, data scientists often deal with more advanced analytics, predictive modeling, and machine learning, whereas data analysts focus on descriptive analytics and reporting. Data scientists may work more extensively with predictive modeling and machine learning by developing predictive models, applying machine learning algorithms, and handling unstructured or large-scale data.

Empower your future with one of our online sponsored data science degrees

University of California, Berkeley

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Master of Information and Data Science

Earn your Master’s in Data Science online from UC Berkeley in as few as 12 months.

  • Complete in as few as 12 months
  • No GRE required

Syracuse University

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Master of Science in Applied Data Science

Syracuse University offers an online MS in Applied Data Science for professionals interested in gaining analytical and technical skills to become leaders in data science.

  • Earn your master’s in as few as 18 months
  • GRE scores are not required
  • Earn an online master’s degree from top-ranked Syracuse University without relocating or leaving their job.

The University of North Carolina at Chapel Hill

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Master of Applied Data Science

In UNC-Chapel Hill’s online Master of Applied Data Science, you’ll learn to tell a story through data, work in teams, and apply data insights to solve challenges. Graduate in as few as 16 months. No GRE required.

  • Complete the program in as few as 16 months full time.
  • No GRE scores required.

Southern Methodist University

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Master of Science in Data Science

Designed for data science professionals looking to advance their careers, DataScience@SMU is an online Master of Science in Data Science from Southern Methodist University.

  • No GRE required.
  • Complete in as little as 20 months.
  • Two starts per year.

Maryville University

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Master's in Data Science

Earn your Master of Science in Data Science online from Maryville University in as few as two years.

  • Graduate in as few as two years.
  • Learn 100% online.
  • Apply with no entrance exams or fees, and choose from 3 start dates.
  • Earn an experience-driven degree and learn from industry leaders.

Hawaii Pacific University

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Master of Science in Data Science

The online MS in Data Science program from Hawai‘i Pacific University prepares students to interpret both conventional and unconventional data, strengthen creative problem-solving skills, and apply cutting-edge data analysis expertise to nearly every industry.

  • 12 months to complete full time and 24 months part time
  • Standardized test scores not required (No GRE/GMAT) 
  • Students learn key skills such as data analysis, data mining, data visualization, programming, machine learning, and more

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Last updated: April 2026