Cheapest Online Masters Program in Data Science

The online Master of Applied Data Science (MADS) program provides a comprehensive understanding of the data life cycle, enabling students to collect, process, manage, and analyze data effectively and ethically. Graduates can communicate their insights in a way that business, government, and social leaders can use for decision-making. The program leverages interdisciplinary research and faculty expertise at the University of North Carolina, collaborating with various academic units on campus, including the School of Information and Library Science, Department of Biostatistics, Department of Computer Science, Department of Mathematics, and Department of Statistics and Operations Research.

The School of Data Science and Society at UNC-Chapel Hill offers an interdisciplinary program comprising 10 required courses totaling 30 credits, culminating in a capstone project. Full-time students can finish this program in 16 months.

During your final term, you’ll complete a team-based practicum in which you will learn team science and work on real-world data challenges with two mentors – one academic and one from industry, government, or the nonprofit sector. This capstone will replace a thesis, and the final paper/report and oral presentation will replace an oral exam.

The benefits of the online Master of Applied Data Science program are:

• Teaches Latest Data Science Trends: The curriculum focuses on teaching the latest trends in data science, including advanced programming methods, big data, NoSQL databases, machine learning applications, and AI ethics. This ensures that students are up-to-date with industry-relevant skills and tools.
• Real-World Application: In the capstone project, students have the opportunity to work with industry, government, and community partners and mentors to solve real-world data challenges. This practical experience allows students to apply their knowledge in real-world scenarios and gain valuable hands-on experience.
• Networking Opportunities: Faculty and staff use their networks to identify projects and organizations for students to work with, providing valuable networking opportunities. This can lead to potential job opportunities and industry connections.
• Interdisciplinary Collaboration: Data science often requires collaboration with stakeholders and interdisciplinary teams. The curriculum includes group assignments and a team-based capstone project to prepare students for collaborative work, enhancing their ability to communicate with stakeholders and solve problems as part of a team.

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

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

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

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

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

Walden University's 45-quarter credits MS in Data Science program offers the opportunity to develop a career in data science, teaching practical skills with industry-leading tools in cloud environments. This online program is designed to equip students with the expertise needed to harness big data ethically for the betterment of organizations and society. It focuses on using digital data and tools to address real-world challenges in business and industry, taught by subject matter experts. This program can be completed in just 15 months.

The online master's in data science program combines business, compliance, and management principles with practical training in machine learning and data analysis. It equips students to handle large datasets, share insights with stakeholders, and become leaders in data management and expertise within their organizations and beyond.

Upon completion of Walden's online master's in data science program, graduates will possess the skills and knowledge necessary to excel in the field. They will be able to:

• Evaluate emerging technical developments relevant to the field of data science.
• Analyze current technologies that offer practical solutions to real-world data science challenges.
• Explore the vital role played by supporting technologies in facilitating data-driven decision-making.
• Analyze and address the legal, ethical, professional, and social issues within the realm of data science.
• Differentiate and apply techniques and tools related to big data predictive analytics, effectively adding "business value" to data-driven decision-making in today's workplace.

By acquiring these competencies, Walden's master's in data science graduates are well-prepared to make valuable contributions in the dynamic and ever-evolving field of data science.

The fully online Master of Computer Science in Data Science program from the University of Illinois provides students with the opportunity to gain graduate-level expertise in four core areas of computer science: data visualization, machine learning, data mining, and cloud computing. This program is designed to equip learners with knowledge from renowned Illinois faculty who have made significant contributions to the field of data science.

The Master of Computer Science in Data Science (MCS-DS) track is a coursework-only program leading to the MCS degree, focusing on data science. This track mandates the completion of 32 credit hours of graduate coursework, distributed across eight graduate-level courses, each carrying four credit hours. Within the MCS-DS program, students will engage in essential coursework encompassing machine learning, data mining, data visualization, and cloud computing.

In addition to the core computer science curriculum, students have the chance to develop valuable skill sets in statistics and information science. These courses are offered in collaboration with the University's Department of Statistics and the School of Information Sciences.

Lectures are delivered to students through Coursera's massive open online course (MOOC) platform. However, it's important to note that students will be guided and evaluated by the faculty and teaching assistants from the University of Illinois, ensuring adherence to a more demanding set of assignments, projects, and exams that are necessary to earn university degree credit.

Upon successful completion of the MCS-DS program, graduates will be uniquely qualified to pursue high-paying and highly sought-after career opportunities in the data science industry. This program not only provides a solid foundation in data science but also offers the flexibility of online learning, making it accessible to a wide range of aspiring data scientists.

Middle Tennessee State University's Data Science Master’s Program is designed with a clear mission in mind: to equip students with the skills and knowledge needed to excel in today's competitive job market. This program achieves its objectives through a comprehensive curriculum that spans a wide spectrum of crucial topics.

To accommodate a diverse range of students, the program offers a flexible blend of online and on-campus courses. This approach caters to the needs of both full-time students seeking a traditional academic experience and working professionals looking to enhance their skills while managing their careers.

For those aspiring to earn the prestigious Master of Science degree in Data Science, the program requires the successful completion of 36 credit hours. Maintaining a cumulative grade point average of 3.0 or above is a fundamental requirement for academic excellence. These credit hours are thoughtfully divided between 8 core courses, amounting to 24 credits, and 4 elective courses, totaling 12 credits. This balance ensures that students receive a well-rounded education in data science while also allowing them to tailor their studies to their specific interests and career goals.

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

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

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

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

Utica College offers a 30-credit, fully online master's degree program in data science. This program equips students to make an impact on strategy and policy development in various sectors. It also focuses on evaluating data science from ethical, social, and personal bias perspectives, distinguishing it as a standout option among New York data science master's programs. The program features small class sizes, project-based coursework, and no residency requirement, providing students with personal attention and flexibility to achieve their educational objectives.

This 24-month online master's in data science program combines data collection and analysis with problem-solving skills. Students learn to identify trends and apply their findings to address business challenges. This 30-credit-hour program includes 15 credit hours of data science courses and 12 credit hours in chosen areas of focus.

• Cybersecurity
• Business Analytics
• Financial Crime

Students in this program have the flexibility to create their own specialization and apply data skills in their preferred field. They can opt for either a three-credit capstone or thesis project to showcase their expertise through hands-on work or research. The program is structured to be finished in as little as five consecutive semesters, which is approximately two years.

In response to the growing demand in an increasingly data-driven world, Cabrini University offers a Master of Science in Data Science. This fully online degree program is designed to equip students with essential skills that are in high demand in the job market. Within this program, students will have the opportunity to develop a wide range of competencies necessary for data-focused careers. These careers include roles such as Business Intelligence Analyst, Data Mining Analyst, IT Project Manager, and Database Administrator.

The program places a strong emphasis on big data innovation and provides a flexible online learning environment, enabling students to balance their education with other commitments. It is a 36-credit master's program that offers a diverse selection of courses tailored to enhance and fortify their knowledge in the realms of business, technology, and analytics.

Cabrini offers students the opportunity to pursue advanced education while balancing their existing commitments. The courses are entirely online and are structured to accommodate working schedules, enabling students to establish a supportive network among their peers and professors as they strive to advance both their education and careers.

This technology-focused program encompasses four key areas of the field, equipping students with a versatile skill set essential for comprehending the intricate and multifaceted realm of data. These areas consist of software and programming, business and management, data warehousing, and data visualization.

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

• Completing your degree in approximately 24 months, on average.
• Take advantage of fully online courses tailored to accommodate your working schedule.
• Engaging in a real-world data application through an internship or capstone project.
• Benefiting from small class sizes that provide additional support.
• Enjoying the affordability and competitiveness of our program's cost structure.

The online Master of Science in Data Science degree at Lewis University is skillfully designed to equip you with the essential concepts and capabilities of data science. This program is applicable across diverse fields including the natural sciences, social sciences, humanities, healthcare, business, and education.

In this online Data Science master's program, you will gain proficiency in key areas such as data mining, data visualization, predictive analytics, and data management. These skills are essential for taking on significant roles in harnessing the power of data in various professional domains.

Cabrini University offers an online master's degree in data science, comprising 33 credit hours. This program provides concentrations tailored to different roles and subfields within both industry and education, including:

1. Cognitive and Prescriptive Analytics
2. Data Engineering
3. Cybersecurity Data Science
4. Data Science Research
5. Computational Biology and Bioinformatics

Students can choose the concentration that aligns with their career goals and interests, making this program highly versatile and accommodating for various professional paths within the data science field.

To prepare students from diverse backgrounds for the effective use of data science tools in professional settings, the program strikes a balance between data science concepts and practical applications. While a certain aptitude for mathematics is beneficial, the program's foundational courses are designed to equip you with the essential mathematical knowledge and skills required to excel as a data scientist. Additionally, students will gain hands-on experience by utilizing cutting-edge cloud computing resources and software suites, which may include SAS, R, and either MS Azure or AWS. Moreover, students will also have the opportunity to create their own data analysis and visualization solutions using programming languages like Python and Java.

The Master’s in Data Science (Professional Hybrid) program is designed to equip professionals with the skills and knowledge necessary for career advancement in Data Science roles. These roles are in high demand and can be found across various industries, making Data Science one of the fastest-growing employment sectors worldwide.

This program comprises a total of 36 credits and can be completed in 20 months. It follows a hybrid format, combining both in-person and online learning elements. Specifically, two courses, which account for six credits, will be undertaken each trimester. Three of these credits will be delivered entirely online, offering flexibility to students, while the remaining three credits will require attendance at weekend residencies held at the Jersey City Campus. This blended approach allows students to balance their professional commitments with the pursuit of an advanced degree in Data Science.

Mandatory residency sessions are scheduled for two weekends during each trimester. It is crucial for all F-1 students to attend these sessions, as failure to do so will result in their absence being recorded for the entire trimester and may lead to the termination of their SEVIS record. Additionally, there are strict enforcement measures in place for various academic policies that pertain to the progress of F-1 students in their online courses.