13 Big Data MSc Degree Programs in USA

The Merage School’s Master of Science in Business Analytics (MSBA) prepares you to compete in the high-demand field of big data and business analytics across various industries and around the globe.

Our MS in Accounting Data Analytics and Technologies prepares you for entrance into or advancement in the accounting profession or managerial positions. You will gain expertise in using big data, AI, and ERP in auditing, cost management, and forensic accounting.

The Master of Science in Big Data Analytics provides students with a comprehensive understanding of data collection, processing, and analysis techniques essential for extracting meaningful insights fr...

The MS in Big Data Analytics program, in the School of Science and Engineering, Miami, is developed to provide real-world experience in critical analytical skills that are needed in this fast-growing field. It focuses on preparing students to formulate strategies and make critical decisions based on real data. The MS in Big Data Analytics (MSBDA) is built around the focus of providing graduates with an understanding of the technologies and methodologies necessary to create and manage big data storage infrastructure, large-scale dataset analytics, big data visualization, and big data applications in organizations.

The Master of Science in Computer Science with a specialization in Big Data Systems provides students with advanced knowledge and practical skills in managing, processing, and analyzing large-scale da...

The MS in Information Systems & Technology with a concentration in Data Science & Analytics explores the ways massive volumes of data can be used to enhance human performance and solve business and societal problems.

Administered jointly through the Department of Computer Science and the Department of Engineering Management & Systems Engineering, the Master of Science in Data Analytics aims to address the growing demand for professionals skilled in big data and data analytics in government, industry and research organizations.

The MSc degree programs provide a high level of professional education in these areas, and the curriculum covers a broad range of subjects, qualifying students for diverse job opportunities.

The Master of Science in Information Technology program qualifies for STEM OPT/CPT benefits, allowing international students up to 36 months of practical training, and offers a comprehensive curriculum designed to equip students with advanced skills in leveraging cutting-edge technologies for business success. The program integrates key areas such as cloud computing, artificial intelligence, big data analytics, mobile app development, and IT project management while enabling international students to access 12 months of CPT during the program, 12 months of initial OPT, and an additional 24-month STEM OPT extension with qualifying employers.

This ACBSP-accredited program provides students with a forward-thinking technical foundation used to effectively plan, design, secure, and manage IT systems. Earn a general MSIT degree or specialize in Cybersecurity, Data Analytics, or Information Technology Management.

A Master of Science in Applied Statistics and Data Analytics (MASDA) degree from the Department of Statistical Science at SMU prepares you with the statistical foundation and critical thinking skills to tackle today’s problems and those that don’t even exist today. If you have a background that is strong in mathematics, this degree program can help you take the next step to advance into this new and highly sought-after field.

It's a great time to be doing graduate studies in statistics! The astonishing amount of data being collected today is literally transforming science and the skills of statisticians are in demand more than ever. The M.S. in Statistical Science degree is intended to prepare a student for a career as a professional statistician working in business, government, or industry.

This program is designed to provide the student with competency in the major areas of statistical and mathematical application, working knowledge of mathematical and/or statistical software, and sufficient theoretical background to serve as a foundation for continued professional development.