Discover a flexible path to innovative business roles in the online Master of Applied Business Analytics program from the Carlson School of Management. You’ll earn your master’s degree on a flexible schedule, learning to harness data analysis tools to identify insights through hands-on coursework and an experiential learning project. At the Carlson School, you’ll learn from world-class faculty at the forefront of business analytics.

Gain advanced accounting and analytic skills to examine financial data and produce valuable business insights in any organization. Ohio University's online Master of Accountancy and Analytics can be completed in five semesters and is designed to prepare students for the CPA exam in most states. This flexible, AACSB-accredited program includes pathways to graduation for students with or without an accounting bachelor's. Get started with up to $10K scholarship, plus 75% Lower Bridge tuition!

Business analytics and data science are crucial for the effective operation of companies today and professionals with proficiency in these areas are highly sought after by businesses. This program uses a hands-on, experiential methodology to give students practical skills and knowledge of industry-leading software, tools, and applications as well as a comprehensive understanding of key topics from big data to machine learning and AI.

The Online Master in Analytics, Big Data and Artificial Intelligence Management is a blended learning master that combines online training in a completely flexible virtual environment together with a face-to-face module aimed at developing management and leadership skills through experiential experiences. The face-to-face module is carried out at the EADA Business & Training Center in Collbató-Barcelona, Spain.

The online Master's degree in Business Intelligence and Analytics combines broad business skills with a solid knowledge of analytics, data science, and digital transformation, to prepare students to to improve decision-making and drive organizational performance through data.

In today's AI-driven economy, organizations urgently need leaders who can bridge the gap between business strategy and artificial intelligence. The Master's in Business Intelligence and AI at Stevens Institute of Technology prepares you to become that leader, combining advanced technical expertise with strategic business acumen.

In this master's degree we will see where Big Data fits within the needs of companies today. It is no longer just another alternative, but one of the essential components of useful technology that influences and will influence our daily lives, even if we do not realize it and resist accepting it. Every day new practical applications and solutions are found to traditional problems that could not be solved before.

The Master Self-Service Analytics Applied to Marketing with the perspective of improving the reading of the business environment, the program is based on an approach that demands from the participants the elaboration and application of methodologies and strategic actions in the digital environment and in the strategic and relationship. In a collaborative environment, participants will plan actions and a course completion project, which will be developed throughout the program.

Gain the advanced knowledge and technical skills to lead data analytics efforts and contribute to key business solutions. Ohio University's online, AACSB-accredited Master of Business Analytics can be completed in 20 months and combines coursework in technology, strategic application and leadership, plus earn aCAP® industry credential. No technical background required. Up to $10K Scholarship available. Graduate ready for roles like business analyst, data scientist, IT systems analyst and more.

The world of Big Data does not stop evolving. Every day, new practical applications and solutions are found to traditional problems that could not be solved before, especially in a world in which more and more data is produced from more sources of very different origins. In summary, there is a large volume of data, which is variable and volatile, that must be processed within certain timeframes.

The Master's Degree in Big Data & Business Analytics has been designed to take students from the concepts and foundations that have given rise to new technologies to turning them into specialists, with the ability to collect, adapt and process large volumes of data and its advanced analysis in any type of sector or industry.

One of the fastest growing professions is data science and analytics. This new degree, a collaboration between Clemson’s College of Business and College of Science, is designed to meet the needs of an increasingly tech-oriented, data-rich ecosystem. The program produces graduates who can use statistical reasoning to help motivate business decisions. Courses combine topics in statistics, mathematics, and management to train students to use and apply data science and analytics in a variety of areas, including marketing, manufacturing, and the military.

Clemson School of Mathematical and Statistical Sciences in cooperation with Department of Management is launching a new online MS program in Data Science and Analytics

The Master of Professional Studies in Analytics helps to meet the increasing demand from employers by teaching the competencies that define an analyst’s ability to demonstrate the application of the knowledge, skills, and dispositions through behavior that is directly related to performance goals: statistics/mathematics, analytics systems technology, business intelligence, advanced analytics, business process/ management, business analytics agility, communicating with data, and leadership/data governance, policy, and ethics. The Master of Professional Studies in Analytics program prepares students by applying the principles, tools, and methods of analytics to a project within a sponsoring organization to successfully assist with the extraction, development, delivery, and/or translation/implementation of data analysis for tactical and/or strategic decision making in organizations.