15 Best Online Master’s in Data Science

Oklahoma State University features a budget friendly master’s in business analytics and data science BAnDS). This is a STEM-designated program tailored for professionals already in the workforce aiming to transition into roles as analytics and data science experts.

The curriculum utilizes cutting-edge enterprise-level analytics software. Students gain hands-on experience with a wide range of tools including:

• Azure
• Data Bricks
• Power BI
• Python

This comprehensive training provides significant advantages in today’s competitive job market.

Applicants must submit GRE or GMAT scores to be considered for admission. Those with more than five years of work experience may be granted probationary admission without these scores. Unsure if you are ready to commit to a master’s degree program? Try out the Graduate Certificate in Business Analytics and Data Science! If you decide to continue, courses transfer to the BAnDS program.

Texas Tech University offers an online Master of Science in Data Science. The program equips graduates with the technical skills required to excel in the digital landscape. Through the 36-hour, STEM-designated curriculum, students gain expertise in managing, analyzing, and interpreting complex data to drive strategic decisions. Upon completing the program, students have the skillset needed to make influential decisions in diverse business environments and industries.

The program is offered online and on-campus. Students can complete the program in an accelerated format in just one year or take fewer courses per term and finish in two years. Course offerings include:

• Database Concepts
• Data Technology
• Machine Learning
• Big Data Strategy

Students take courses in a series since each course builds upon the one before it. This also allows students to move through the program as a cohort, building relationships with their peers.

Online students are supported throughout the program. They can get assistance through the Rawls Career Management Center to advance their career. Graduates have access to the Techsan Connection, an online platform for alumni that helps them network and find jobs.

Applying to the program is easy. There is no prior work experience requirement, but applicants must have a bachelor’s degree. Applicants must also submit GMAT scores and unofficial transcripts. New students are admitted during the summer, fall, and spring semesters.

The CUNY School of Professional Studies features an online Master of Science in Data Science. The program focuses on meeting employer needs through its learning objectives and rigorous, hands-on courses. Students will gain expertise in a variety of disciplines including:

• probability and statistics
• applied math
• programming
• data acquisition and management
• critical thinking and comunication

Students complete a professional portfolio showcasing their work using programming languages like R and Python. These projects are designed to align closely with workplace requirements. Throughout the program, students create predictive and prescriptive models and hone their presentation skills. The MS in Data Science program culminates in a capstone project where students devise sophisticated yet practical solutions to real-world challenges.

The interdisciplinary program is open to students of diverse backgrounds. Candidates should have strong technical or quantitative skills, although those with a strong desire to learn are encouraged to apply. Other requirements include a bachelor’s degree from an accredited institution and a personal statement.

Mizzou’s online master’s in data science empowers you with essential skills to analyze your company’s data, utilizing real-world problem-solving examples. Through hands-on experiences, students use the latest tools of modern data analytics, including:

• statistics
• database platforms
• machine learning
• predictive analytics

You’ll gain practical insights into analyzing and interpreting data to drive informed decision-making in your professional endeavors.

Students can choose from five concentration areas including:

• BioHealth Analytics
• Geospatial Analytics
• High-Performance Computing
• Human-centered Science Design
• Strategic Communications and Data Journalism

Designed for flexibility and convenience, coursework is available entirely online. This allows students to balance their studies with a busy schedule. While the majority of learning takes place remotely, two campus visits are required, providing valuable networking opportunities with peers and faculty during the annual executive week session.

Pursuing your master’s in data science at Mizzou offers a streamlined path to advancing your career. The application is easy and there are no GRE test scores required for an admission decision. Students can complete their degree in as little as two years.

The Masters of Science in Data Science and Analytics (DSA) at Clemson University is an innovative online degree program jointly offered by the School of Mathematical and Statistical Sciences and Department of Management. The program consists of 30 credit hours, including 15 hours from the School of Mathematical and Statistical Sciences and another 15 hours from the Department of Management.

This distinctive program caters to working professionals and is delivered entirely online. The curriculum offers comprehensive coursework in decision sciences and management. Graduates of this program are skilled data analysts equipped for diverse career paths in areas like:

• manufacturing
• military
• government
• healthcare administration

New cohorts for this program begin each summer.

Bellevue University offers an online master’s program in data science that fits around your work schedule. You’ll advance in your career while earning your degree. Faculty members are easily accessible through various channels like email and chat, ensuring you receive support whenever needed.

In today’s data-driven world, every industry relies on data to understand their customers, operations, and financial performance. Bellevue University’s data science master’s degree equips you with the necessary tools and knowledge to effectively analyze and derive insights from large datasets. With experienced faculty and practical coursework, you’ll gain hands-on experience with leading data science tools like:

• Python
• R
• Tableau
• PowerBI

You’ll also develop essential skills in data analysis and visualization. Graduates have what it takes to apply data-driven solutions to real-world business challenges.

Earn your master’s in data science online through the No. 2-ranked Master of Information and Data Science (MIDS) program at UC Berkeley School of Information (I School). This WASC-accredited program is designed to shape data science professionals into industry leaders by offering:

• a multidisciplinary curriculum
• expert faculty from top data-driven companies
• a supportive network of peers
• the flexibility of online learning

Experience a rigorous and holistic curriculum that integrates:

• computer science
• social sciences
• statistics
• management
• law

Students will use cutting-edge tools and analytical methods to tackle large-scale data and extract insights from complex datasets. The program offers three flexible paths tailored to fit the schedules of working professionals: accelerated, standard, or decelerated. Accelerated path students can complete their degree in as little as 12 months while standard path students can finish in 20 months. Need to go at a slower pace? Students in the decelerated path have up to 32 months to finish their degree. All students complete a capstone project that showcases core skills and concepts gained during the program.

To be considered for admission to the program, students must complete an online application and submit transcripts from all schools attended. Students must also submit a statement of purpose and current resume.

The online M.S. in Engineering with a Certificate of Specialization in Data Science Engineering from UCLA was created by faculty and industrial advisory board members to cater to the needs of working professionals. With a part-time schedule, individuals can seamlessly integrate their studies into their busy lives. Students can choose to begin their studies in the fall or spring quarter. Asynchronous classes focus on the same rigorous content as the on-campus courses.

The innovative program provides engineers and scientists with a unique opportunity to engage with cutting-edge data science tools and techniques. Through hands-on exploration, students interact with popular tools such as PyTorch and TensorFlow for deep learning. They’ll also get familiar with advanced probabilistic reasoning tools like Bayesian Inference.

Students will also learn distributed-computation systems such as MapReduce, gaining practical experience that prepares them for real-world challenges. With a focus on practical application and industry relevance, the program equips graduates with the expertise needed to thrive in data science engineering.

Prepare to lead in the dynamic field of data analysis with the online Master of Science in Engineering in Data Science program at the University of California, Riverside. This specialized program equips students with the skills to extract valuable insights from large datasets. Students will feel empowered to make informed decisions based on data-driven evidence. Designed for professionals with engineering experience or a bachelor’s degree in engineering, the program offers a comprehensive curriculum aimed at meeting the increasing demand for data management and administration experts.

The coursework provides students with a solid foundation in data analysis. They’ll develop efficient techniques for identifying, analyzing, and visualizing patterns within datasets to extract crucial information. With an expedited format, students can complete their degree in just 13 months, all while enjoying the flexibility of 100% online coursework. Students have the opportunity to tailor their education by choosing from seven specialization areas including:

• Bioengineering
• Chemical Engineering
• Data Science
• Electrical Engineering (Power Systems)
• Environmental Engineering Systems (Water)
• Materials at the Nanoscale
• Mechanical Engineering
• Engineering Management

With flexible admission criteria and three start dates throughout the year, the online Master of Science in Engineering in Data Science program at UC Riverside offers a convenient and accessible pathway for professionals seeking to advance their careers.

Eastern University’s MS in Data Science program is meticulously crafted to fit all types of learners. Whether you’ve never coded before or you are an expert, Eastern University has a place for you. Through this program, students acquire specific and marketable skills in top coding languages, alongside essential knowledge in:

• DS-standard programming
• mathematics
• statistics
• data analysis
• machine learning

Eastern’s MS in Data Science program offers the flexibility of 100% online learning, allowing students to complete their coursework at their own pace. With self-paced 7-week online courses, students have the freedom to progress through the program according to their individual schedules. Eastern’s program provides personalized support from expert faculty who are dedicated to assisting students every step of the way. Throughout the program, students master industry-standard tools such as Python and Qlik.

Graduates are prepared for a variety of career options including:

• data science analyst
• machine learning engineer
• data architect
• analytics manager
• business intelligence analyst

Discover the world of data science with a master’s degree from Regis University. Regis University’s online program offers flexibility through primarily online classes structured in flexible, 8-week terms. This allows students to balance their studies with other commitments. The program gives students the skills they need to analyze data, forecast outcomes, and drive impactful change in businesses and communities. Course offerings cover areas like:

• predictive analytics
• statistics
• data visualization
• data engineering

Students will also gain a comprehensive understanding of the ethical and legal aspects of data collection.

At Regis, learning extends beyond the confines of a computer screen. Through a blend of curriculum, practicums, and project-based learning, students experience firsthand how data is utilized in real-world scenarios. With a curriculum encompassing both analytics and engineering, graduates emerge as versatile and dynamic data scientists.

Lewis University’s online Master of Science in Data Science program is a comprehensive degree that equips students with the essential skills and concepts of data science. The program is applicable across diverse fields such as natural sciences, social sciences, and healthcare. Through the online platform, students study areas of data analysis that include:

• data mining
• visualization
• predictive analytics
• management

Additionally, students gain access to cutting-edge cloud computing resources and software suites such as SAS and MS Azure. They’ll develop innovative data analysis and visualization solutions using languages like Python and Java. Lewis University’s online Data Science master’s program also offers specialized concentrations tailored to various roles and subfields within industry and education. Concentrations include:

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

Students can opt for a concentration-free path, maximizing flexibility in course selection to align with their unique career aspirations.

Unsure if a master’s degree is the right move? You can start your journey with a certificate! Lewis offers a certificate in computational biology and bioinformatics and a certificate in data science. Credits for both these programs can be applied to a master’s degree.

The Master of Applied Data Science (MADS) program at the University of Michigan prepares students to manage data across various real-world contexts. Through a blend of theory, computation, and application, the MADS program offers a flexible online format that covers every aspect of data science. Students will develop the skills needed to draw meaningful conclusions and inform critical decisions using data, all while upholding the highest ethical standards in data use.

At the University of Michigan, flexibility is key. With both full-time and part-time options available, students have the freedom to tailor the program to meet their individual needs and schedules. Throughout the program, students will learn:

• computational methods for big data
• diverse approaches to data visualization
• a wide range of analytic techniques including machine learning and natural language processing

The program emphasizes the practical application of data science in various contexts such as search and recommender systems and social media analytics. Graduates are well-equipped to excel in the dynamic field of data science.

The Master of Computer Science in Data Science (MCS-DS) track at the University of Illinois is a non-thesis program. Courses are delivered entirely online. The comprehensive curriculum is designed to give students the skillset needed to thrive in the rapidly evolving field of data science.

The program is led by Illinois faculty who are at the forefront of innovation. Students have the opportunity to explore new statistical and computational methods that are revolutionizing industries and society as a whole. The MCS-DS track comprises 32 credit hours of graduate coursework, encompassing eight rigorous courses focused on data science essentials. Breadth coursework comes from four areas including:

• machine learning
• data mining
• data visualization
• cloud computing

Lectures are delivered through Coursera’s massive open online course (MOOC) platform. Students benefit from personalized guidance and assessment from Illinois faculty and teaching assistants, ensuring a high-quality educational experience that meets the rigorous standards the University of Illinois is known for.

Bay Path University’s applied data science program is an innovative program offering two distinct tracks to suit your career aspirations and goals. Whether you’re seeking to become a well-rounded data scientist or specialize in technical roles within data science teams, Bay Path University provides the pathway to success.

The Generalist Track equips students with the foundational skills and knowledge needed to thrive in the rapidly growing field of data science. Through a comprehensive curriculum, students develop collaborative and analytical skills essential for success in diverse industries. The Specialist Track prepares students for more technical roles, such as data modelers or data mining engineers. It offers advanced coursework tailored to meet the demands of specialized positions within data science teams.

Whichever track you choose, you’ll benefit from small class settings led by experienced faculty. Plus, with hands-on application using essential programming languages like Python and SQL, you’ll graduate prepared to make an impact in today’s data-driven world.