Best Online Masters Programs in Business Analytics , Data Analytics

The Master of Science degree in Data Analytics and Policy at Johns Hopkins University is a 36-credit program designed to prepare students for advanced roles in data analysis and policy. Students have the unique opportunity to choose from four distinct areas of concentration. The degree is conducted via an online mode of study making it easily accessible for the students to study from any part of the world. 

The features of the MS in Data Analytics and Policy program are:

• The foundational core courses cover essential topics such as Data Visualization, using tools like R and Tableau; Probability and Statistics, introducing statistical analysis and R programming; Quantitative Methods, focusing on advanced regression modeling; and Programming and Data Management, which covers fundamental programming concepts relevant to data analytics.
• The “Capstone for Data Analytics and Policy” course is a significant component of the program, designed to provide hands-on project experience. In this course, students undertake an original data analysis project related to public policy, politics, or governance, applying the comprehensive skills learned throughout the program to produce an original scholarly work.
• Students have the flexibility to choose elective courses that align with their interests and career aspirations. These can be selected from within the program's four Areas of Concentration—Statistical Analysis, Geospatial Analysis, Political Behavior and Policy Analysis, or Public Management—or from related programs, subject to academic adviser approval.
• The program offers specializations or concentrations in key areas such as Statistical Analysis, Geospatial Analysis, Political Behavior and Policy Analysis, and Public Management, allowing students to deepen their expertise in specific fields of interest.
• The program offers flexible completion options (online and part-time) catering to diverse student needs, making it accessible to working professionals seeking career advancement or individuals with busy schedules. This makes it well suited for working professionals 

The Master of Science in Data Analytics program at Johns Hopkins University blends theoretical knowledge with practical skills and real-world application, particularly through the capstone project, equipping students to address complex data analysis challenges in policy and governance.

What makes Johns Hopkins’ MS in Data Analytics and Policy program unique?

The Master of Science degree in Data Analytics and Policy at Johns Hopkins University offers a compelling combination of rigorous academic curriculum and real-world application, particularly through its capstone project. It offers students a choice among four distinct areas of concentration, allowing them to tailor their education to specific interests and career goals. The program's flexibility, with online and part-time options, makes it accessible to a broad range of students, including working professionals. Moreover, the absence of GRE requirements for admission widens the pool of potential applicants, making the program more inclusive. The well-rounded curriculum, covering essential data analysis techniques, programming, and data visualization, combined with the practical experience gained from the capstone project, prepares graduates to tackle complex data analysis challenges, particularly in policy and governance. This exceptional program stands out for its commitment to preparing adaptable and impactful data analysts.

Preparing you for data-based decision making and managerial leadership of data analytics projects in your organization, the MSQM: Business Analytics curriculum blends business management education with training in quantitative analytics.

We pioneered blending face-to-face and distance learning, and have long been the global leader in distance education for working professionals. Our difference comes from our deep expertise at the intersection of business and analytics and our long experience in educating managers using innovative learning models. Therefore, you can be confident that both the caliber of your online education and the smoothness of the delivery of the MSQM: Business Analytics program will be unsurpassed.

Your curriculum includes a mix of courses in core business functions and data science and quantitative methods. While the course topics may evolve over time, and when they are offered may shift between calendar years, the MSQM: Business Analytics structure is likely to follow this format:.

The program launches with a 2.5 day residency in Durham, NC.

Build a foundation in R and Python to prepare for subsequent courses in your program that use these languages.

Understand address management decisions that, invariably, will need to be made under conditions of uncertainty. This course provides you with a solid foundation in applied probability and statistics, required for data-driven quantitative managerial decision-making as well as for subsequent courses in your program.

Learn the fundamental concepts of microeconomics, such as pricing decisions, market equilibrium, strategic interaction, and asymmetric information, which will serve as a foundation for future courses in business such as finance, marketing, and strategy.

Explore two core areas of business: financial accounting and finance. The accounting module introduces you to the types of information requirements imposed on a firm by agencies in its environment, and study financial accounting, reporting, and measurement problems from both a theoretical and an applied basis. The finance module introduces you to fundamental concepts in finance and provides a set of tools for analyzing the investment and financing decisions of both individuals and firms.

Examine two core areas of business: marketing and strategy. The marketing module provides you with an of the role of marketing in organizations by exposing you to the fundamental issues and decisions involved in planning and managing marketing activities.

Investigate how data analysis can be used to guide business practices by discussing a variety of real-world situations. You will study the core concepts behind data analytics, the challenges associated with big data, and the interplay between data science and business decisions, with your focus being on the long-lasting, general principles that endure the rapid change of technology and the hands-on analyses of actual datasets to develop methodologies.

Learn how an expansion in data availability, improvements in computational power, and the design of digital and data-centric organizations have fostered data-driven business decisions. with advanced tools, algorithms, and technologies currently being used in many industries.

Understand and improve business processes, such as capacity planning, scheduling, queueing analysis, inventory analysis, and lean and six-sigma program implementation, through data analysis. Technology has enhanced the way that the data generated in these processes is collected and assessed to make effective decisions.

Find out how quantitative analytic techniques combined with expert analysis can identify potentially fraudulent behavior. In this course, you will explore analytics techniques currently in use to identify and prevent fraud in relevant business contexts.

An optional 2.5 day Data Visualization Intensive is offered in Durham, NC, after Term 4.

Gain exposure to the statistical techniques, primarily causal inference, used to evaluate business outcomes, as well as potential confounding factors and the quasi-experimental methods, such as instrumental variables regression, regression discontinuity, and difference-in-differences estimation, to mitigate their effects.

Master the foundations of effective management communication, including communicating clearly, strategically, persuasively, and collaboratively in professional business settings.

Examine the leading issues in ethics and the law, including those that arise in the decisions made by manufacturers and marketers. The course will use case examples to illustrate the dilemmas and challenges.

The case-based learning method uses real-world business analytics cases as the basis for discussions and team projects. This approach challenges you to see business problems from a corporation perspective and to take what you learn in class to develop quantitatively-supported recommendations.

Leverage your degree with guidance from a career coach.

See what it like to be an online Fuqua student.

With the Online MS in Business Analytics program offered by Washington University in St Louis, students can amplify their data analysis abilities in the fast-growing field of analytics. Through this program, students learn to harness the power of analytics while also considering principles to navigate the areas of gray that arise in businesses of all sizes. This online degree program can be completed in 2 years.

This 33-credit program online program includes 3 levels of credentials: Graduate Certificate, Advanced Graduate Certificate, Degree

• Graduate Certificate: This program requires 10.5 credits and can be finished in 8 months. This includes the following courses: Introduction to Python and Data Science, Data Visualization for Business Insights, R and Statistics, Machine Learning Tools for Prediction of Business Outcomes, and Database Design and SQL
• Advanced Graduate Certificate: This program requires 12 credits and can be finished in 8 months. This includes the following courses: Text Mining, Big Data and Cloud Computing, Prescriptive Analytics, Deep Learning for Business Analytics, A/B Testing in Business and Social Sciences, and Customer Analytics
• Degree: This program requires 10.5 credits and can be finished in 8 months. This includes the following courses: Professional Business Communication, Financial Management, Data Analysis for Brand Management, Analytics-Driven Brand Management, and Financial Technology Methods and Practice.

Business Analytics (Online): Create Value Through Data Analysis.

Means better business. and business leaders are turning to data-driven decision-making to make better predictions, create a competitive advantage, improve business decisions, and increase value for their business. Business analytics and data analysis are critical skills for business professionals as the availability of broad and deep sources of information, Big Data, becomes even prevalent.

In this six-week business analytics online program, participants will gain foundational insights and impactful tools for business analytics and data analysis so that they can:.

Effective business leaders know how data analysis can be used to overcome business challenges, find the best decision, and create rewarding opportunities.

With this business analytics program, participants will have an opportunity to:.

Understand the fundamental concepts and quantitative analytical methods to think critically data and the data analytics performed by or presented to their team.

Practice the most common analytical methods and techniques in various industries and sectors to develop data-driven insights and support their business decisions.

Highly data-driven organizations are three times likely to report significant improvement in decision-making.

Source: Alation State of Data Culture Report.

Of workers fully confident in their data literacy skills. Source: Forbes.

Mid to senior-level professionals in marketing, operations, finance accounting, sales, human resources, or customer service who want to understand how big data and data analysis (including marketing analysis, operations analytics, statistical analysis, and data visualization) can inform business decisions and affect change.

Business professionals and entrepreneurs pursuing their next professional goals in business analytics including data analytics, marketing analytics, operations analytics, accounting analytics, and customer analytics.

Columbia Business School Business Analytics Online Program for Executives.

This asynchronous business analytics program was designed to introduce strategies to tackle business challenges in three main areas of data analysis:.

Learn the foundational elements of predictive business analytics select topics include logistic regression, K-nearest neighbor, quality of predictions, and ROC. Discover predict a continuous outcome, a 0 or 1 outcome, the flaw of averages, the quality of fit, prediction errors, and future performance based on past performance.

Take a deeper dive into prescriptive analytics decision-making including data analysis with a deterministic objective, multiple objectives, under uncertainty, and with an unclear link between decisions and impact. Get the data analysis tools needed for testing, simulating, and optimizing.

Introduces business analytics and its main levers that organizations use to capture value through it.

Review a common business analytics tool to leverage the data and for predicting outcomes: Logistic Regression.

Charles Daniel Guetta Columbia Business School Executive Education.

Business Analytics Skills Needed Now and in the Future.

Data analysis can be used to overcome business challenges, find the best decision, and create rewarding opportunities.

Business analytics is the tool that helps you challenge your intuition and question the status quo.

For many workers, data literacy is like a foreign language.

Upon completion of this program, you will earn credits towards a Certificate with select alumni and tuition benefits.

According to Bloom, the development of higher order thinking skills requires guiding the learner from just knowledge recall to comprehension, application, analysis, synthesis and evaluation. In online learning at Columbia Business School Executive Education, you will have an opportunity to progress through these key phases of learning so that by the end each program, your return on learning will be clearly measurable.

Our online programs range between 3 to 18 weeks in length.

Unless otherwise specified in the program description, all lectures are delivered through recorded media. Each online program is divided into time-sequenced modules with new modules released each week. We encourage you to take advantage of the opportunities you will have to connect with fellow learners in each particular online program.

No. There is no pre-program work in our online programs.

Each online program is managed by a dedicated Online Facilitator who will be available to answer any questions, provide feedback, and send reminders as needed.

Syllabus, video content, readings, and assignments.

This varies from program to program. Questions raised in discussion boards and assignments will be curated by your Online Facilitator Learning Coach.

In online learning at Columbia Business School Executive Education, we emphasize facilitated cohort learning and development.

Connecting with other learners in an asynchronous online learning environment takes place through weekly discussion boards as well as peer or small group sessions.

Whether attending an online or in-person program, every participant at Columbia Business School Executive Education is expected to adhere to the student code of conduct which requires the following:.

Respect the diversity of opinions and cultures that will be present in your program. The use of language that is harassing or denigrating will not be tolerated.

Do not reproduce content from any online program unless allowed by the copyright terms laid out by the course administrator.

Violation of this code of conduct may result in disciplinary action including cancellation of program enrollment with no reimbursement of fees.

You will receive access to the course site generally within one to five business days of the course start date.

To find Columbia Business School Executive Education on the Canvas app, you may need to type our URL in the Find your school or district box. The URL is courseworks2.columbia.edu. Please note that there will be differences in how the course site is displayed in the app versus on desktop.

You will have access to the course site for an additional three months after the program concludes.

No. All of our Executive Education programs, both online and in person, are non-degree courses and as such, do not provide accreditation or lead to an accredited diploma or a degree. Upon successful completion of the program, participants receive a certificate of participation.

Online programs provide credits towards the Certificate in Business Excellence (CIBE).

Except Professional Certificate in Corporate Finance (with edX), Alumni Edge programs, and TIME for Learning classes, which do not earn credits toward the Certificate in Business Excellence.

The executive cohort for each online program consists of a global audience at various stages of their careers, from mid to senior-level leaders and managers with an average of 10-15 years of management experience. Participants come from a range of functional areas including general management, IT, finance accounting, sales, operations, marketing, human resources, customer service, engineering, and strategy. The top 10 industries represented include financial services, energy natural resources, retail, technology, education, consulting, manufacturing, consumer products, and non-profit industries.

We limit the enrollment levels of our online programs to ensure every participant receives consistent feedback from the Online Facilitators. This makes it possible for us to provide you with a level of attention and feedback not typical in other online programs.

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Georgetown's McDonough School of Business offers a 16-month online Master in Business Analytics program designed to give students a competitive edge when making value-driven decisions. This course provides students with up-to-date analytics knowledge as well as essential business skills that are sure to be advantageous in an ever-changing marketplace.

Georgetown's premier program offers a comprehensive curriculum, designed to provide students with a stimulating learning experience. Alongside their peers and the institution's renowned educators, scholars will gain insights into how to tackle issues, collect and manage facts, use analytical approaches and tactics, and create value for business. With this remarkable opportunity to expand their knowledge base, they can look forward to an enriching academic journey.

In this comprehensive online MSBA program, students will learn how to effectively analyze data and apply the concepts they've learned across all areas of business. Through 30 credits spread over 18 courses, the curriculum incorporates two intensive seven-day residencies for earning credit and making connections with peers and faculty. To culminate the program experience, a capstone project is taken on in collaboration with an organization to address real-world problems through business analytics.

Georgetown University also offers on-campus Master of Science in Data Science and Analytics program, which is meticulously crafted to foster the development of future leaders in the data science domain. This program is distinguished by its comprehensive approach, blending foundational principles of data science with specialized training to ensure that its graduates emerge as versatile professionals capable of navigating the complexities of various fields.

The features of the Master of Science in Data Science and Analytics program are:

• Credits Required: 30 units
• Duration: 16 months
• Mode of Study: On-campus, with options for full-time or part-time enrollment
• Rigorous training in analytics, computation, and statistics
• A wide range of elective courses to choose from
• Hands-on experience with real-world datasets and issues
• A mandatory online course in programming languages such as R and Python
• Emphasis on career development, including networking opportunities, job-search training, and insights into potential career paths
• Flexible scheduling with courses available in the early afternoon to early evening, and some electives offered during the summer to accommodate different schedules

At Carnegie Mellon University's Tepper School of Business, students have the opportunity to pursue a Master of Science in Business Analytics (MSBA) through two distinct pathways: a flexible, online part-time program and a rigorous, full-time on-campus program. Both pathways are designed with a state-of-the-art curriculum, offer access to distinguished faculty, and come with extensive career support, ensuring a blend of quality education and professional development.

Online Part-Time MSBA Program Features:

• Spanning 20 months, this program is crafted for working professionals, offering the convenience of balancing career advancement with existing job commitments.
• The program delves into analytical skills, business acumen, and advanced problem-solving, complemented by personalized leadership and communication coaching.
• Engage in live online sessions and participate in select on-campus events, fostering a rich learning environment and community engagement.
• Ideally suited for those with a technical background, aiming to harness analytics for strategic business decisions.

Full-Time On-Campus MSBA Program Features:

• A 9-month intensive, STEM-designated journey tailored for recent graduates eager to dive deep into business analytics.
• The program sharpens analytical prowess, harnesses data utilization, and explores emerging technologies, readying students for roles in data-driven sectors like finance, consulting, and manufacturing.
• With individual career counseling and a diverse cohort, the program fosters a supportive and enriching environment for personal and professional growth.
• Graduates emerge as storytellers of data, equipped with cutting-edge techniques to uncover and communicate insightful analytics.a

The Master of Science in Business Analytics degree (MSBA) at the Wake Forest University School of Business, designed to develop the leaders of tomorrow, is now offered online for working professionals. Business Analytics opportunities are numerous as major organizations adopt data-driven, technology-focused strategies across nearly every industry. In the MSBA program, students will learn advanced methodologies to apply analytics to business challenges across a range of functions throughout the organization.

The online Wake Forest MSBA equips students with strong quantitative capabilities plus marketable skills required by top employers. Students' first two courses will cover the basics of probability, statistical modeling, and analytics software to ensure that they have the foundational knowledge needed to succeed in the program.

For those seeking to hone their strategic thinking and use of analytics, this 20-month program is an invaluable asset. Students will have the opportunity to develop advanced problem-solving skills, as well as a mastery of descriptive, predictive, and prescriptive analytics. The 36-credit hour MSBA curriculum has been designed with busy working professionals particularly kept at heart; giving participants the necessary skills and the approach they need to bring data-driven decisions into their company and lead strategies backed by facts.

Professionals in the workforce can enroll in the University of Wisconsin–Madison's online Master of Engineering program focused on Analytics. This two-year 30-credit curriculum integrates essential project leadership and team management skills with data science courses specifically designed for engineers. It focuses on data collecting, verification, and narrative for decision-making and encompasses a wide range of multidisciplinary courses across libraries and information sciences, business, and engineering.

Smaller class sizes encourage deeper involvement, scheduling flexibility for students, and industry relevance through advisory boards are all highlighted in the curriculum. With a long tradition of providing exceptional online education, UW–Madison guarantees its students a robust digital learning environment.

The program's core offerings encompass:

• The Machine Learning and Predictive Analytics section explores the sophisticated methods and resources needed to build analytical frameworks and predictive models, giving students the ability to foresee patterns and results in the future.
• The Statistical Methods and Decision Science field focuses on advanced techniques that support well-informed and strategically-focused decision-making processes through the application of statistical analysis.
• The Tools and Techniques for Visualization area of study looks at innovative approaches to data visualization that make complex information understandable and useful for making strategic decisions.
• The course covers the state-of-the-art methods for improving the efficacy and efficiency of processes, goods, R&D, testing, and operational frameworks.
• The Communication and Leadership part is essential because it gives students the abilities they need to manage projects, lead teams with clarity and confidence, and lead change.

The University of Texas at Austin's McCombs School of Business offers the Master of Science in Business Analytics (MSBA) in two formats: a full-time, on-campus program and a part-time, online alternative. With a single application and payment, prospective students may submit simultaneous applications to both forms. Starting in the summer, the 10-month on-campus MSBA program is STEM-certified and very demanding. With its optional tracks in supply chain, marketing, and financial analytics, students may customize their study to fit their interests. 36 credit hours must be completed for the degree, including a Business Analytics Capstone course that pushes students to use their knowledge to solve real-world business problems.

The online MSBA program mixes synchronous weekly online meetings with asynchronous coursework, making it appropriate for part-time study. There are five in-person immersions required at the McCombs School of Business in Austin for both the on-campus and online modes. Although the program offers a thorough curriculum that covers data analysis, database administration, and strategic corporate decision-making, the overview given makes no specific mention of a course that is specifically focused on leadership. Highlights of the program include its adaptable format options, curriculum customization capabilities, capstone project that provides real-world experience, and hybrid learning style that combines live interactive sessions with self-paced learning.

The Online Master of Science in Computer Information Systems Concentration in Data Analytics program at Boston University's Metropolitan College prepares professionals for data-centric roles by providing a solid foundation in information technology and a comprehensive curriculum. Students gain expertise in probability theory, statistical analysis, data mining, text mining, and web mining, while also emphasizing practical experience through real-world projects. The program can be completed in 18-24 months.

This 40-credit program is ranked #10 among online master's programs in computer information technology and offers ten courses and affordable tuition rates. It features faculty members specializing in software engineering, health informatics, and computer science, ensuring a high-quality education that meets industry demands. Prospective students can request information or contact an enrollment advisor to learn more and start their journey in data analytics.

After finishing the MSCIS degree concentration in Data Analytics, students will be able to show that they can:

• understanding of applied statistics and probability and how they apply to regular data analysis.
• the capacity to investigate different data visualization methods and applications utilizing actual data sets.
• knowing how to gather and process unstructured text, comprehend online analytics and metrics, and look for hidden patterns.
• abilities to speed up knowledge discovery by employing data mining techniques over large data sets.