Edited By Christine Skopec
Review & Contribution By Ryan Adams
Master the art of extracting insights from data with a Master’s in Data Analytics Online. Gain statistical analysis, machine learning, and data visualization expertise to drive informed decisions in diverse industries.
Data extends far beyond the internet, encompassing demographics, habits, preferences, and more. A Master’s in Data Analytics Online equips students with the skills to harness and analyze diverse data sources to make informed decisions. By blending theoretical knowledge with practical application, the curriculum covers essential topics like data mining, statistical analysis, data visualization, and machine learning. Students gain expertise in managing large datasets, deriving actionable insights, and communicating findings effectively. This program addresses the growing demand for data-driven decision-making across industries such as finance, healthcare, marketing, and technology. Graduates are prepared for roles as data analysts, data scientists, and business intelligence professionals, ready to solve complex data challenges and implement data-informed strategies to improve business performance and outcomes.
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Southern New Hampshire University
PROGRAM: BA General Studies
Southern New Hampshire University is a private, nonprofit, accredited institution with more than 3,000 on campus students, over 170,000 online students, making it one of the fastest growing universities in the nation. Founded in 1932, we’ve been relentlessly reinventing higher education ever since and have gained national recognition for our dedication to helping students transform their lives and the lives of those around them.
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Find the Best Master’s in Data Analytics Online Programs
Selecting the top Master’s in Data Analytics Online can feel overwhelming. Students should consider the program’s quality, faculty credentials, student-teacher ratio, and funding opportunities. Thorough research on these aspects will help them choose a program that offers a well-rounded education, valuable resources, and robust support to prepare them for successful careers in data analytics. The teams at FBD have researched the best online master’s in data analytics programs using a proprietary methodology and compiled the following list:
| Univ | Address | Tuition | Grad Rate |
| Oregon State University | 1500 SW Jefferson Avenue, Corvallis, Oregon 97331 | $13,446 | 71% |
Universities and programs are ranked by various factors, such as affordability, curriculum and coursework, reputation and availability, program length, statistics, the potential of employment, and return on investment for the students. For a more in-depth analysis, please read about our rankings methodology page.
What to Expect from a Master’s in Data Analytics Online Program
A Master’s in Data Analytics Online program offers a comprehensive blend of theoretical and practical learning, preparing students to navigate the complexities of big data and analytics. Typically, these programs take 1.5 to 2 years to complete and require around 30 to 36 credits. Students can expect coursework covering key areas such as data mining, statistical analysis, data visualization, machine learning, and predictive modeling. Practical, hands-on projects and case studies help students apply these concepts to real-world scenarios. Many programs also offer opportunities for internships or capstone projects, allowing students to gain valuable industry experience. Graduates are equipped with the skills necessary to pursue advanced roles in data analysis across various industries.
Curriculum and Coursework
The curriculum of a Master’s in Data Analytics Online program is designed to equip students with theoretical knowledge and practical skills in data analysis. Coursework focuses on developing proficiency in handling large datasets, applying analytical techniques, and interpreting data to support decision-making. Emphasis is placed on real-world applications, enabling students to solve complex data challenges. The program also encourages critical thinking, problem-solving, and effective communication of insights across diverse industries. While each colleges have unique curricula, some standard Master’s in Data Analytics Online across programs include:
Foundations of Analytics and Data Visualization
This course equips students with essential mathematical and practical skills in data analytics. The course covers probability, statistics, and using R for computing and graphical analysis. Students explore data types, summarization techniques, distribution models, measurement errors, confidence intervals, hypothesis testing, etc.
Foundations of Data
This course explores the impact of Big Data on the business world, focusing on structured approaches to data analytics challenges. Students will learn about data verification, analytic techniques, open-source tools, and regulatory organizations’ roles while addressing privacy and ethical issues surrounding data use.
Enterprise Data Management
The “Enterprise Data Management” course focuses on managing data from an enterprise perspective, emphasizing its role in organizational success. Students explore concepts and techniques for designing, developing, and maintaining enterprise information management systems. The course also covers the roles and responsibilities of professionals managing data within organizations.
Decision Methods and Modeling
This course teaches students to evaluate data in context, interpret trends, and explore decision-support techniques like predictive modeling, risk assessment, and optimization. Building on concepts from enterprise data management, students gain foundational knowledge in data warehousing, business intelligence, data mining, and decision support systems to enhance organizational competitive advantage.
Advanced Data Analytics
This course focuses on advanced analytic strategies throughout the data analysis life cycle. Through case studies, students will expand and refine their skills, culminating in developing a project proposal. This proposal prepares for the capstone experience, integrating advanced techniques and real-world applications.
Some other standard courses across the Master’s in Data Analytics Online curriculum include:
- Presentation and Visualization of Data
- Optimization and Risk Assessment
- Predictive Analytics
- Big Data Analytics
Learning Outcomes and Skills Gained
In pursuing a Master’s in Data Analytics Online, students acquire essential skills and knowledge to leverage data-driven insights for strategic decision-making. This program equips graduates with advanced analytical techniques and practical expertise, enhancing their ability to secure lucrative career opportunities, achieve substantial salary growth, and gain industry recognition. Graduates of the Master’s in Data Analytics Online program acquire valuable skills and competencies, including:
- Advanced proficiency in interpreting and analyzing complex data sets to inform strategic decision-making.
- Expertise in data mining, machine learning, statistical analysis, and visualization techniques.
- Ability to derive actionable insights and communicate findings effectively to diverse stakeholders.
- Leadership in implementing data-driven initiatives to enhance organizational efficiency and innovation.
- Critical thinking to evaluate and solve complex data analytics and business intelligence challenges.
- Ethical awareness and adherence to professional standards in data management and analytics practices.
- Collaboration with multidisciplinary teams to integrate data analytics into organizational strategies and operations.
- Continuous learning and adaptation to emerging trends and technologies in data analytics.
Types of Master’s Degrees in Data Analytics Students Can Obtain
There are several types of master’s degrees available for those interested in data analytics, each with a unique focus. Common options include the MS in Data Analytics, which emphasizes technical skills and data science methods; the Master of Professional Studies (MPS) in Data Analytics, which often integrates practical, industry-focused learning; and the MBA in Data Analytics, which combines data analysis with business management strategies. These programs cater to different career paths within the analytics field.
MS in Data Analytics
An MS in Data Analytics provides students with advanced statistical analysis, data mining, and machine learning skills. The program emphasizes transforming complex data sets into meaningful insights, preparing students to develop data-driven strategies, optimize processes, and make informed decisions. Master of Professional Studies in Data Analytics
Master of Professional Studies (MPS) in Data Analytics
A Master of Professional Studies (MPS) in Data Analytics focuses on practical, industry-specific data analytics applications. The program blends advanced analytical techniques with real-world problem-solving, preparing students to manage and interpret data professionally. Emphasizing hands-on experience, the MPS equips students with the tools to develop data-driven solutions for various industries and sectors.
MBA in Data Analytics
An MBA in Data Analytics integrates data analysis with business strategy, preparing students to leverage data in decision-making processes. The program combines core business principles such as finance, marketing, and management with advanced analytics techniques. This equips students to optimize organizational performance, drive innovation, and implement data-driven solutions in various business contexts.
Areas of Specialization for Master’s in Data Analytics Online
The Master in Data Analytics offers specializations in different areas, allowing students to concentrate on specific areas of interest. This focused approach helps students gain deep expertise and practical skills relevant to their chosen field. It customizes their education to meet the particular demands of the industry and effectively prepares them to tackle specialized challenges in their future careers. Here are some specializations that students of Master’s in Data Analytics Online can pursue:
| Area of Specialization | Description | Career Options |
|---|---|---|
| Machine Learning | This concentration equips students with advanced statistical modeling, data mining, and predictive analytics skills. It emphasizes algorithms, neural networks, and deep learning techniques to derive insights from large datasets, preparing graduates for data-driven decision-making in diverse industries. | Machine Learning Engineer Data Scientist AI Research Scientist Predictive Modeler |
| Business Analytics | This specialization trains students in quantitative methods, data interpretation, and predictive modeling for business decision-making. It emphasizes techniques like data visualization, statistical analysis, and predictive modeling to optimize strategies and operations, enabling graduates to leverage data effectively in business environments. | Business Analyst Data Analyst Business Intelligence Analyst Operations Research Analyst |
| Healthcare Analytics | The specialization prepares students to utilize data-driven insights for improving healthcare outcomes. It emphasizes statistical analysis, predictive modeling, and healthcare-specific data management techniques to enhance patient care, operational efficiency, and decision-making within healthcare organizations. | Healthcare Data Analyst Clinical Informatics Specialist Healthcare Data Scientist Health Data Manager |
| Big Data | This specialization equips students with skills in handling, analyzing, and deriving insights from large and complex datasets. It focuses on technologies like Hadoop, Spark, and data warehousing techniques, preparing graduates to tackle the challenges of managing and utilizing massive amounts of data in various industries. | Big Data Engineer Data Architect Data Warehouse Manager Big Data Consultant |
| Financial Analytics | This specialization equips students with advanced quantitative analysis, risk management, and financial modeling skills. It emphasizes data interpretation, algorithmic trading strategies, and predictive modeling techniques tailored for financial markets, preparing graduates for investment banking, asset management, and financial consulting roles. | Quantitative Analyst (Quant) Financial Risk Analyst Investment Analyst Financial Data Scientist |
Full-Time and Part-Time Programs
The completion time for Master’s in Data Analytics Online varies based on students’ availability and engagement levels. A full-time schedule generally spans two years, providing a comprehensive learning experience. Conversely, part-time options are spread over a longer duration, accommodating professionals balancing work and studies. Accelerated formats expedite graduation in less than two years, catering to those seeking a quicker career advancement and specialized expertise. Here’s a summary of completion timelines for online Master’s in Data Analytics:
- Full-time program: Typically completed in approximately two years
- Part-time program: Extends beyond two years to accommodate working professionals
- Accelerated program: Designed to be completed in less than two years for expedited skill acquisition
Accelerated Master’s in Data Analytics Online
An accelerated Master’s in Data Analytics Online allows students to finish their degree in less than the usual two years. The admission requirements are the same as those for standard programs, which makes it appealing to students looking for flexibility or cost savings. Students can move through their education faster by taking on more intensive coursework and transferring credits. Many universities across the United States offer accelerated online programs in Applied Data Analytics to accommodate a wide range of professional goals. Here is a university that provides an accelerated Master’s Data Analytics:
Requirements for Getting into a Master’s in Data Analytics Online Program
Admission to a Master’s in Data Analytics Online program generally follows the criteria of other master’s programs. Prospective students should carefully review and understand the prerequisites and qualifications to ensure they meet all requirements for successful application and enrollment. Common admission requirements for an online Master’s in Data Analytics Online include:
- A bachelor’s degree in a related field
- Completion of prerequisite coursework, such as mathematics or statistics
- Minimum GPA: Requirements may vary.
- GRE scores, if required by the program
- 2 or 3 letters of recommendation
- A statement of purpose or personal statement
- An entrance essay (sometimes required)
No GRE Master’s in Data Analytics Online Programs
The Graduate Record Examination (GRE) is a standardized test commonly required for admission to graduate schools in the U.S., Canada, and other countries. While many institutions still require GRE scores, some have made them optional or eliminated the requirement, broadening access for applicants who may have been hindered by mandatory GRE scores. Here is an example of a college that provides a Master’s in Data Analytics Online online, no GRE.
How to Ensure a Master’s in Data Analytics Online Program Is Accredited
Accreditation ensures that a program meets established standards of quality and rigor. For Master’s in Data Analytics Online program students, accreditation assures a valuable education, enhances employment prospects, and facilitates credit transfers between institutions. Accredited programs are recognized by employers and other educational entities, making it easier for graduates to pursue further education or professional opportunities. AACSB Accredited International [4] is one organization that accredits data analytics programs in the United States.
Universities can also be accredited nationally or by one of six regional accrediting agencies:
- New England Commission of Higher Education (NECHE)
- Middle States Commission on Higher Education (MSCHE)
- Higher Learning Commission (HLC)
- Southern Association of Colleges and Schools Commission on Colleges (SACSCOC)
- Northwest Commission on Colleges and Universities (NWCCU)
- Western Association of Schools and Colleges (WASC) Senior College and University Commission (WSCUC)
Where to Find Free Online Courses for Master’s in Data Analytics Online Program Students
Free online courses in applied data analytics can significantly enhance knowledge and skills, preparing students for further studies. While not accredited, these courses provide essential skills for making data-driven decisions. Many of these courses offer certifications, which can bolster resumes and show a commitment to professional development, enhancing competitiveness in the job market. Here are a few free online courses that students can explore:
| Course | Description | Provided by |
|---|---|---|
| Introduction to Data Analytics with Python [5] | This free course covers the basics of data analytics and core Python programming. It explores opportunities in data analytics, such as determining credit risks and developing new medicines. By the end, students gain a solid understanding of major data analytics types. | Alison |
| Introduction To Data Analytics Using Microsoft Power BI [6] | In this course, students cover Microsoft Power BI, a tool for business data analysis and report creation. The course covers setting up an online account and desktop installation. Key topics include platform features, distinctions between Power BI online and desktop versions, global business analytics significance, report generation for senior management, and practical applications in real-world business scenarios. | Alison |
| Introduction to Transforming with Data Analytics and the Digital Organization [7] | This course offers a framework for tackling digital transformation challenges. Topics include leveraging organizational dynamic capabilities, constructing competitive digital business models using fitness landscapes, and implementing strategic foresight to evolve and sustain digital business success. | Class Central |
Ways to Pay for a Master’s in Data Analytics Online
As the tuition costs for a Master’s in Data Analytics Online continue to rise, students face concerns about accumulating student debt. Prospective students must explore various avenues for financial support and planning to mitigate these challenges and effectively pursue their academic goals. Here are some free ways students can fund their program:
Scholarships provide financial assistance to students, helping to cover tuition costs based on academic merit, financial need, or specific criteria set by sponsoring organizations or institutions.
Grants provide financial assistance for educational expenses such as tuition, books, and living costs. They are available from government, private, and nonprofit organizations and are awarded based on financial need, academic achievement, or particular program criteria. Grants allow students to pursue their educational goals without taking on debt.
Graduate Assistantships
Graduate assistantships provide valuable opportunities for graduate students to gain experience in teaching, research, or administrative roles. In exchange for their work, students typically receive a stipend, tuition remission, or both, helping to offset the costs of their graduate education while enhancing their professional skills.
FAFSA, the Free Application for Federal Student Aid, is a form completed annually by students seeking financial assistance for higher education. It determines eligibility for grants, loans, and work-study programs based on income and other factors.
Scholarships for Master’s in Data Analytics Online Degree Students
Scholarships for Master’s in Data Analytics Online degree students provide financial support, reducing tuition costs and easing financial burdens. They encourage academic excellence and enable access to specialized education, fostering skills crucial for careers in data analysis and enhancing professional prospects in diverse industries. Here are some Master’s in Data Analytics Online scholarships students can apply to fund their program:
| Scholarship | Description | Award/Amount | Application Deadline |
|---|---|---|---|
| MinneAnalytics Scholarships [8] | MinneAnalytics scholarships support undergraduates dedicated to analytics careers and community involvement, with annual awards increasing since 2015. In 2021, over 30 students from Midwest colleges received recognition, fostering future leaders in data-driven fields. | $1,000 | Varies |
| ACM SIGHPC/Intel Computational & Data Science Fellowship [9] | The ACM SIGHPC/Intel Computational & Data Science Fellowship aims to increase data and computational science graduate study diversity. It supports students, particularly women and underrepresented minorities, pursuing degrees worldwide. Recipients receive a stipend contingent on academic progress, fostering excellence and inclusivity in these critical fields. | $15,000 | April annually |
Career Opportunities and Salaries After Graduating
Students who have completed a Master of Science in Applied Data Analytics have various career options and can expect competitive salaries in various industries. Their abilities in interpreting data and solving problems are greatly appreciated, leading to positions that involve using data for making strategic decisions. Salary ranges vary based on demand and experience, providing graduates with opportunities for career progression and the ability to make significant contributions in today’s data-focused society. Graduates with an online Master’s in Data Analytics Online can pursue a variety of positions, such as:
| Occupation | Job Description | Median Annual Salary | Job Growth (up to 2032) | Skills Required |
|---|---|---|---|---|
| Market Research Analysts[10] | Market research analysts assess consumer preferences, business conditions, and sales potential for products or services. They use various methods to gather and analyze data, interpret trends, and prepare reports for management. Their insights aid companies in strategic decision-making and optimizing marketing strategies to meet consumer demand effectively. | $74,680 | 13% (much faster than average) | Communication, interpersonal, organizational, and problem-solving skills. |
| Information Security Analysts[11] | Information security analysts safeguard organizational computer networks and systems by implementing security measures like firewalls and encryption. They monitor networks for breaches, investigate incidents, and stay current with IT security trends. Analysts also develop security standards, educate users on security protocols, and play a crucial role in disaster recovery planning and testing. | $120,360 | 32% (much faster than average) | Analytical, communication, managerial, problem-solving, and time-management skills. |
| Computer and Information Research Scientists [12] | Computer and Information Research Scientists innovate technology applications, addressing complex computing challenges in business, science, and medicine. They develop theories, collaborate with engineers, and design software and hardware solutions. Their work involves experimenting with software systems, analyzing data, and publishing findings to advance machine learning and cloud computing. | $145,080 | 23% (much faster than average) | Research, problem-solving, analytical and management skills |
| Data Analyst [13] | A Data Analyst leverages data and experience to inform decisions and understand client needs, issues, and expectations. They are crucial in network operations, assessment administration, and supporting organizational goals. Collaborative and proactive, they ensure alignment with organizational missions like FLACS, enhancing operational efficiency through data-driven insights. | $107,553 | No Data Available | Critical thinking, business acumen, problem-solving, and analytical skills. |
Certifications and Licensing for Master’s in Data Analytics Online Program
Certifications and licensing for Master’s in Data Analytics Online programs provide specialized skills crucial for career advancement. While not mandatory, they validate expertise and enhance employability in competitive job markets, equipping graduates with practical knowledge and tools to excel in data-driven decision-making roles.
Here are a few certifications graduates of a Master’s in Data Analytics Online program can consider:
Microsoft Certified: Power BI Data Analyst Associate [14]
The Microsoft Certified: Power BI Data Analyst Associate certification focuses on delivering actionable insights through data visualizations and enabling self-service analytics. Analysts collaborate with stakeholders and use Power BI to transform data, create models, and ensure data security, enhancing business decision-making and operational efficiency.
Certified Analytical Professional [15]
The Certified Analytics Professional (CAP) certification validates advanced technical expertise and soft skills crucial for analytics professionals. Vendor-neutral and covering seven key analytics domains, CAP enhances employability and aids organizations in identifying and retaining top talent in the competitive analytics industry.
Additional Resources for Master’s in Data Analytics Online Program Degree
After completing an online Master’s in Data Analytics Online, professionals can enhance their careers by joining professional organizations. These associations share knowledge and keep members updated on industry trends and innovations. Engaging with peers and professionals through these platforms enhances learning. and career growth in the dynamic data analytics industry. Here are a few organizations graduates of a Master’s in Data Analytics Online can explore:
| Title/Resource | Description |
|---|---|
| Data Camp | DataCamp offers a comprehensive platform for learning data science and analytics through interactive courses. It features hands-on exercises in Python, R, SQL, and other tools, catering to beginners and advanced learners. With a focus on practical skills and real-world applications, DataCamp enhances data analysis and programming proficiency. |
| American Statistical Association | The American Statistical Association (ASA) is the world’s largest community of statisticians, fostering excellence in statistical science since 1839. It supports research, education, and advocacy across industry, government, and academia globally. ASA promotes sound statistical practice to inform policy and improve human welfare through meetings, publications, and member services. |
| The Institute for Operations Research and the Management Sciences | INFORMS offers comprehensive resources for professionals in data science, analytics, and operations research. Their magazines feature insightful perspectives, while peer-reviewed journals publish cutting-edge research. Meetings and conferences convene top experts to address key challenges and advancements in the field, keeping members informed and engaged. |
| Research Data Alliance | The Research Data Alliance (RDA) has fostered global collaboration since 2013, promoting open data sharing across disciplines and borders to tackle societal challenges. Through Working Groups and Interest Groups, RDA builds infrastructure to facilitate data exchange, bridging technical and social barriers for scientists and researchers worldwide. Membership is free and inclusive. |
| ASIS&T | The Association for Information Science and Technology (ASIS&T) has bridged theory and practice in information science for over 85 years. It supports global professionals in enhancing information access and management through research and collaboration. ASIS&T serves as a vital community advancing the field’s methodologies and technologies worldwide. |
FAQs About Master’s in Data Analytics Online Programs
Is doing a Master’s in Data Analytics Online Program necessary?
Pursuing a Master’s in Data Analytics can be essential depending on career goals. It provides advanced analytical and interpretation skills, crucial in today’s data-driven industries like finance, healthcare, and technology. The program offers specialized knowledge and credentials that can significantly enhance career opportunities and earnings potential.
Why should you do a Master’s in Data Analytics Online Program online?
Is a Master’s in Data Analytics Online Program affordable?
Do I have to do a thesis-based Master’s in Data Analytics Online Program?
What can you do with a Master’s in Data Analytics Online Program?
Is an online Master’s in Data Analytics Online Program worth it?
Can one personalize their study plan for a Master’s in Data Analytics Online Program?
Citations:
Boston University- Metropolitan College
Southern New Hampshire University
Boston University- Metropolitan College (No GRE)
AACSB Accredited International
Introduction to Data Analytics with Python- Alison
Introduction To Data Analytics Using Microsoft Power BI- Alison)
Introduction to Transforming with Data Analytics and the Digital Organization- Class Central
ACM SIGHPC/Intel Computational & Data Science Fellowship
U.S. Bureau of Labor Statistics: Occupational Outlook for Market Research Analysts
U.S. Bureau of Labor Statistics: Occupational Outlook for Information Security Analysts