Online data science master’s degrees

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.

Become a data scientist with an online data science degree

Experience industry-focused education that could boost your career with our sponsored programs.

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

UNC-Chapel Hill’s online Master of Applied Data Science program gives you a holistic understanding of the data life cycle, preparing you to effectively — and ethically — collect, process, manage and analyze data. Learn to translate your insights into a clear narrative that can be used to drive action. Math and programming skills required.

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

Lancaster University

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MSc Data Science

Earn your online MSc Data Science from a globally-recognised university for data science and artificial intelligence. Master in-demand skills that employers value most – AI, Natural Language Processing (NLP), Python, and technologies such as Hadoop, Spark and PyTorch. Whether you’re upskilling existing computer science skills or pivoting into a new career, you’ll emerge ready to transform raw data into actionable strategies that drive growth in today’s data-driven economy.

15 hours per week total
Complete your degree in 28 months, part time
Learn in a holistic curriculum: Academics from the Data Science Institute, School of Computing and Communications, School of Mathematical Sciences, and the Security Lancaster institute collaborate to deliver coursework that reflects the interconnected nature of data science.

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

University of Birmingham

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Master of Science Applications of Data Science

With University of Birmingham’s online MSc Applications of Data Science, you will learn the essential programming and data management skills necessary for a successful career in data science. You will study topics online with academic experts, from artificial intelligence and statistical modeling to ethical data collection and legal frameworks.

Complete the programme in three years, part time.
No application fees or standardised test scores required.
Built around the United Nations’ sustainability goals, the programme is designed to equip students with the data science skills to analyse, provide critical insight, and communicate conclusions to drive action.

Syracuse University

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Master of Science in Applied Data Science

Syracuse University’s online Master of Science in Data Science can be completed in as few as 18 months.

Complete in as little as 18 months
No GRE scores required to apply

Southern Methodist University

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Master of Science in Data Science

Earn your MS in Data Science at SMU, where you can specialize in Machine Learning or Business Analytics, and complete in as few as 20 months.

No GRE required.
Complete in as little as 20 months.

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Choose the best online data science master’s for you

University name recognition can be valuable for students looking to impress future employers, but there are a variety of other factors to be considered that will affect the learning experience. Before selecting a data science degree based on name alone, here are some questions to ask of the program.

How long has the online data science degree been offered?

Data science is a growing field — new degree programs are established every year. While longevity does not guarantee quality, consider the stability offered by an established program. The longer a program is serving students, the more experience staff will have navigating the online environment. Additionally, there will be resources available from former students who may have advice on everything from course and instructor selection to networking. Consider some of the following questions when thinking about how long a data science degree as been offered:

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 have established 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 — either through a recorded video or live walk-through of the platform, access to an asynchronous lecture, or a Q&A session, for example.

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

While pursuing degrees, data science students have access to a variety of resources and datasets through reputable online programs. Another option is seeking opportunities for coding competitions through platforms like Kaggle. Programs may also feature research centers, entrepreneur initiatives, private and public partnerships, laboratories, incubators, and sponsored competitions. Such opportunities allow you to gain hands-on experience and practical knowledge, enhancing your learning experience throughout your degree.

Trying to decide which online master’s in data science is best for you? As a general gauge of quality, you might look at university rankings in quantitative analysis, computer science, and statistics as well as review any awards for online offerings.

University	Study Length	Test Requirement	Coursework	Project-Based Learning
University of California, Berkeley info SPONSORED	As few as 12 months	No GRE Required	– Deep Learning in the Cloud and at the Edge – Machine Learning – Statistics for Data Science	Project-Based Coursework
The University of North Carolina at Chapel Hill info SPONSORED	As few as 16 months	No GRE Required	N/A	N/A
Lancaster University info SPONSORED	28 Months	No GMAT/GRE Required	N/A	N/A
Hawaii Pacific University info SPONSORED	12-24 months	No GMAT/GRE Required	N/A	N/A
University of Birmingham info SPONSORED	36 months	No GRE Required	N/A	N/A
Syracuse University info SPONSORED	Complete in as few as 18 months	No GRE Required	– Data Analytics – Machine Learning – Natural Language Processing	Project-Based Curriculum
Southern Methodist University info SPONSORED	Complete in as few as 20 months	No GRE Required	– Cloud Computing – Machine Learning – Statistical Foundations for Data Science	Some Project-Based Learning

List of online master’s in data science programs

Sort programs by:

For more information on the factors listed in this table, view a list of descriptions for each factor.

University	Study Length	Test Requirement	Coursework	Project-Based Learning
Bay Path University	1+ years	No GMAT/GRE Required	– Deep Learning – Machine Learning – Statistical Modeling	No Project-Based Learning
Bellevue University	1+ years	No GRE Required	– Predictive Analytics – Statistics for Data Science	Some Project-Based Learning
Cabrini University	2 years	No GRE Required	– Information Systems Management – Machine Learning – Natural Language Processing	No Project-Based Learning
Central Connecticut State University	N/A	N/A	– Algorithms for Data Science – Database Systems	No Project-Based Learning
City University of New York (CUNY)	1+ years	No GRE Required	– Advanced Programming Techniques – Business Analytics – Machine Learning	Project-Based Curriculum
Clarkson University	1+ years	No GRE Required	N/A	N/A
DePaul University	N/A	N/A	N/A	N/A
Drexel University	2+ years	No GRE Required	– Artificial Intelligence – Machine Learning – Responsible Data Analysis	No Project-Based Learning
Elmhurst University	2 years	No GRE Required	– Business Intelligence – Data Mining – Data Warehousing – Machine Learning	Some Project-Based Learning
Harvard University	1.3+ years	GMAT/GRE Required	N/A	N/A
Hawaii Pacific University info SPONSORED	12-24 months	No GMAT/GRE Required	N/A	N/A
Indiana University	1+ years	No GRE Required	N/A	N/A
Johns Hopkins University	1+ years	No GRE Required	N/A	N/A
Lancaster University info SPONSORED	28 Months	No GMAT/GRE Required	N/A	N/A
Lewis University	18 – 24 months	No GMAT/GRE Required	– Artificial Intelligence – Data Mining and Analytics – Machine Learning	No Project-Based Learning
Merrimack College	1+ years	No GRE Required	– Data Governance – Machine Learning – Predictive Modeling	No Project-Based Learning
New England College	2 years	GRE Required	N/A	N/A
Northcentral University	1.5+ years	No GRE Required	– Big Data Integration – Data Mining	No Project-Based Learning
Oklahoma State University	2 years	GMAT/GRE Required	N/A	N/A
Regis University	1+ years	N/A	N/A	N/A
Rochester Institute of Technology	2 years	No GRE Required	– Linear Models – Regression – Software Engineering For Data Science and Applied	No Project-Based Learning
Southern Methodist University info SPONSORED	Complete in as few as 20 months	No GRE Required	– Cloud Computing – Machine Learning – Statistical Foundations for Data Science	Some Project-Based Learning
Saint Mary’s College	2 years	No GRE Required	– Data Mining at Scale – Database Systems	Project-Based Curriculum
Syracuse University info SPONSORED	Complete in as few as 18 months	No GRE Required	– Data Analytics – Machine Learning – Natural Language Processing	Project-Based Curriculum
Technological University Dublin	2 years	No GRE Required	N/A	N/A
University of Birmingham info SPONSORED	36 months	No GRE Required	N/A	N/A
University of California, Berkeley info SPONSORED	As few as 12 months	No GRE Required	– Deep Learning in the Cloud and at the Edge – Machine Learning – Statistics for Data Science	Project-Based Coursework
University of California – Santa Barbara	N/A	No GRE Required	N/A	N/A
University of California Los Angeles	24 Months	GRE Required	– Big Data Analytics – Digital Speech Processing – Machine Learning	No Project-Based Learning
University of Illinois at Urbana-Champaign	1+ years	No GMAT/GRE Required	N/A	N/A
The University of Kansas	1+ years	No GRE Required	N/A	N/A
University of Missouri	2 years	No GRE Required	– Cloud Computing for Data Analytics – Machine Learning – Parallel Computing for Data Science	Project-Based Curriculum
The University of North Carolina at Chapel Hill info SPONSORED	As few as 16 months	No GRE Required	N/A	N/A
University of Notre Dame	2+ years	No GRE Required	– Ethics And Policy in Data Science – Machine Learning – Time Series and Forecasting	Some Project-Based Learning
University of the Pacific	2 years	No GMAT/GRE Required	N/A	N/A
University of Virginia	Less than 1 year	No GRE Required	N/A	N/A
Wayne State University	1+ years	GMAT Required	N/A	N/A
University of Wisconsin	1+ years	No GRE Required	N/A	N/A

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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

Lancaster University

School of Computing and Communications

MSc Data Science

Description:

Enrollment Type: Part-Time

Length of Program: 28 Months

Credits: 180

Admission Requirements:

2:2 Honours degree (UK or equivalent) in any discipline, provided that you have had exposure to quantitative methods such as statistics or mathematical modelling
English Language Profiency, if English is not first language

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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

Admission Requirements:

Bachelor’s Degree
Transcripts

Learn more about the Master of Science in Data Science from Northcentral University

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

Southern Methodist University

Dedman College of Humanities and Sciences, Lyle School of Engineering and Meadows School of the Arts

Master of Science in Data Science

Dallas, Texas

Description:

DataScience@SMU is an online Master of Science in Data Science program that prepares students with the fundamental skills needed to be sought-after data science leaders in a variety of industries. Our students learn from cross-disciplinary SMU faculty in online classrooms with a small student-to-professor ratio. DataScience@SMU students gain highly in-demand skills in working with unstructured data, big data processing, statistical analysis, text mining, machine learning, and business analytics.

Enrollment Type: Full-Time and Part-Time

Length of Program: Complete in as few as 20 months

Credits: 33.5

Admission Requirements:

Bachelor’s degree
One letter of recommendation
Professional resume
Statement of purpose
Official transcripts

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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

Syracuse University

School of Information Studies

Master of Science in Applied Data Science

Syracuse, New York

Description:

The online Master of Science in Applied Data Science at Syracuse University is an interdisciplinary program offered by the School of Information Studies and the Martin J. Whitman School of Management. The curriculum requires 36 credits, including electives that allow candidates to develop deep knowledge in their area of specialty. Students must compile a portfolio of projects to submit for faculty review. Online course content focuses on collaboration and includes face-to-face classes, project-based work, and 24/7 access to materials. Applicants must have a bachelor’s degree and must submit transcripts, a personal statement, resume, and two recommendations. No GRE Scores Required.

Enrollment Type: Full-Time and Part-Time

Length of Program: Complete in as few as 18 months

Credits: 34

Admission Requirements:

Bachelor’s degree
Two letter of recommendation
Professional resume
Statement of purpose
Official transcripts

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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 Birmingham

Master of Science Applications of Data Science

Birmingham, UK

Description:

Enrollment Type: Part-Time

Length of Program: 36 months

Credits: 180

Admission Requirements:

To be considered for admission into the online MSc Applications of Data Science, applicants typically should have earned a minimum of an Upper Second Class Honours (2:1) UK undergraduate degree or recognised equivalent international qualification in a STEMM+ discipline. The programme is not designed for recent graduates of Computer Science but could be taken by those returning to study. This programme is specifically designed for those from a numerate discipline. However, applicants from other disciplines who have been working in a related sector involving programming and numerate skills will also be considered.

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University of California, Berkeley

School of Information

Master of Information and Data Science

Berkeley, California

Description:

Designed for data science professionals, the UC Berkeley School of Information’s Master of Information and Data Science (MIDS) prepares students to derive insights from real-world data sets, using the latest tools and analytical methods to interpret and communicate their findings in ways that influence decision-making. The MIDS program features a rigorous, multidisciplinary curriculum focused on problem solving, preparing students to creatively apply methods of data collection, analysis, and presentation to address and solve problems in areas of human interest, government, and business.

Enrollment Type: Full-Time and Part-Time

Length of Program: As few as 12 months

Credits: 27

Admission Requirements:

Official transcripts
Statement of Purpose
Two letters of recommendation
GRE not required

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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

The University of North Carolina at Chapel Hill

Master of Applied Data Science

Chapel Hill, NC

Description:

Enrollment Type: Full-Time and Part-Time

Length of Program: As few as 16 months

Credits: 30

Admission Requirements:

Online application
Application fee
Statement of purpose
Transcripts
Statement of purpose
Current résumé

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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 bears the same weight as a campus degree on your résumé. An online degree may offer more flexibility and better work-life balance. It may also reduce the total cost by eliminating a commute to campus.

Expectations for earning your data science degree

Admissions criteria for an online data science master’s and certificates vary, so make sure the program fits your skill level.

Programs can include a blend of core courses and electives. Common elements include multimedia lectures, discussion boards, video conferencing, group project work, and virtual office hours.

Occasionally, some data science online degree programs expect you to come to campus at some point (or points) during your study. Sometimes it’s a handful of weekends, and other times it’s a longer, more concentrated session. Certain schools will have a kick-off and a final reunion week. Be sure to confirm what’s required.

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’s online Master of Science in Data Science can be completed in as few as 18 months.

Complete in as little as 18 months
No GRE scores required to apply

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

To get the most value from a data science degree and for students to become data scientists, coursework should be just as demanding as traditional coursework. Typical courses may include database systems, natural language processing, and data analysis.

In addition, some master’s programs will have:

Deadlines and accountability markers (e.g., class presentations) to help keep you on track.
Team-based practicums and online forums to help you build career contacts.
Portfolios to impress future employers.

Compare the data science program’s curriculum with the university’s campus offering. If it’s radically different, ask yourself if this is your best option.

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

Data science and computer science are two 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 for data science professionals is to leverage techniques such as data mining, machine learning, and data visualization to identify patterns, make predictions, and drive 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 pursue roles 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.

Admissions requirements for online data science masters

Admissions requirements vary depending on the university, but some common requirements may include:

Bachelor’s degree
Official transcripts
Résumé
Personal statement
Letters of recommendation
Real-world experience in data analytics or data science
GRE scores
Prerequisite courses on topics such as programming, statistics, or math

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

Flexibility

There are quite a few benefits of learning data science online, but one of the benefits of earning a data science degree online is flexibility. Most universities have part-time options for students who work full-time and do not require on-campus visits for budding data scientists. Asynchronous programs are completely self-paced, so students are in full control of their schedules and can manage their work-life balance.

Other programs offer synchronous teaching, which is more hands-on and interactive with students viewing lectures at a scheduled time. Some universities offer online master’s in data science programs year-round, so there’s no need to wait for specific dates to apply and get started.

Faculty

Many data science programs have faculty who have worked as data scientists and teach students the practical skills they need through an experiential learning process. Read up on the data science faculty profiles — these folks should be some of the same people teaching campus programs.

If they’re full-time tenured professors, are they working on cutting-edge research or collaborating with campus partners (e.g., IBM)? Have they won data science awards or research fellowships? It’s valuable to have individuals who are knowledgeable about events and developments outside of academic institutions. If they’re part-time, are they leading data projects in real companies? Do they have experience with start-ups and incubators? Again, you may want data scientists as professors to help you understand today’s landscape.

Networking

Along with the brand name (e.g., MIT), networking with data scientists is part of the reason students opt for university programs over alternatives. That casual chat in the hall or a coffee with your data science program professor may just lead to an AI project or a government contract.

It can be harder to build relationships while earning an online data science master’s, but it’s not impossible. Try looking for programs that incorporate networking opportunities, corporate days, guest speakers and/or on-campus visits. Think about whether a program in a tech hub (e.g., the Bay Area) or a foreign city (e.g., London) might help you forge new business contacts.

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

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

Syracuse University

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Master of Science in Applied Data Science

Syracuse University’s online Master of Science in Data Science can be completed in as few as 18 months.

Complete in as little as 18 months
No GRE scores required to apply

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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 offers the same comprehensive curriculum as 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 modality can help students in becoming data scientists.

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 primarily 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 offer elective courses or concentration areas in specialized fields such as natural language processing, allowing budding data scientists 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?

When you graduate from a data science program, you can pursue various roles as data scientists, data analysts, machine learning engineers, and more across a wide range of industries, including technology, finance, healthcare, and government. Their expertise in database systems, data analysis, and machine learning methods enables them to solve complex problems and drive data-driven decision-making.

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 includes the same rigorous curriculum and learning opportunities as an on-campus program. Also, as learning management systems advance, the online learning experience develops, too. These platforms allow for both asynchronous and synchronous learning, collaborative tools, and interactive systems.

Some degree programs may require an in-person component, such as an on-campus immersion or local capstone. 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 delve deeper into data analysis by creating predictive models, employing machine learning algorithms, and working with unstructured or large-scale data.

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

Syracuse University

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Master of Science in Applied Data Science

Syracuse University’s online Master of Science in Data Science can be completed in as few as 18 months.

Complete in as little as 18 months
No GRE scores required to apply

The University of North Carolina at Chapel Hill

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Master of Applied Data Science

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

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

Southern Methodist University

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Master of Science in Data Science

Earn your MS in Data Science at SMU, where you can specialize in Machine Learning or Business Analytics, and complete in as few as 20 months.

No GRE required.
Complete in as little as 20 months.

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Last updated August 2024.

Online data science master’s degrees

Become a data scientist with an online data science degree

University of California, Berkeley

Master of Information and Data Science

The University of North Carolina at Chapel Hill

Master of Applied Data Science

Lancaster University

MSc Data Science

Hawaii Pacific University

Master of Science in Data Science

University of Birmingham

Master of Science Applications of Data Science

Syracuse University

Master of Science in Applied Data Science

Southern Methodist University

Master of Science in Data Science

Choose the best online data science master’s for you

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

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

Sponsored Schools with Online Master’s in Data Science Programs

List of online master’s in data science programs

Bay Path University

Master of Science in Data Science

Longmeadow, Massachusetts

Bellevue University

Master of Science in Data Science

Bellevue, Nebraska

Cabrini University

Master of Science in Data Science

Radnor, Pennsylvania

Central Connecticut State University

Mathematical Science Department

Master of Science in Data Science

New Britain, Connecticut

City University of New York (CUNY)

School of Professional Studies

Master of Science in Data Science

New York, New York

Clarkson University

Master of Science in Applied Data Science

Beacon, Potsdam, and Schenectady, New York

DePaul University

College of Computing and Digital Media

Master of Science in Data Science

Chicago, Illinois

Drexel University

Master of Science in Data Science

Philadelphia, Pennsylvania

Elmhurst University

Master of Science in Data Science and Analytics

Elmhurst, Illinois

Harvard University

"Master of Science in Health Data Science "

Cambridge, Massachusetts

Indiana University

Luddy School of Informatics, Computing, and Engineering

Master of Science in Data Science

Bloomington, Indiana

Johns Hopkins University

Whiting School of Engineering

Master of Science in Data Science

Baltimore, Maryland

Lancaster University

School of Computing and Communications

MSc Data Science

Lewis University

College Of Aviation, Science And Technology

Master of Science in Data Science

Romeoville, Illinois

Merrimack College

School of Engineering and School of Business

Master of Science in Data Science

North Andover, Massachusetts

New England College

Master of Science in Data Science

Henniker & Manchester, New Hampshire

Northcentral University

Master of Science in Data Science

San Diego, California