Data is messy and complex. Brown’s master’s in business analytics is intentionally designed to begin there. During this program, you’ll master the complete analytics pipeline, learning how to assess data, choose the right analytical approach and generate actionable insights. You’ll develop an understanding of statistical models, predictive analytics, machine learning, multimodal analytics and generative AI and the judgement for when to use each of them in your analysis.

Brown’s business analytics courses build strong data literacy, preparing you to make confident, strategic decisions that drive real business impact. Delivered fully online with a flexible schedule and global accessibility, you’ll also have the opportunity to visit Brown University for an optional 2.5-day residential experience, where hands-on workshops and networking bring the online learning experience to life.

This program offers the following graduate degree:

• Master of Science in Business Analytics (MBAn)

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Business Analytics Curriculum & Format

The curriculum spans the full analytics lifecycle, beginning where analytics actually happens with messy, real-world data. Students develop hands-on skills in data curation, exploration and visualization before advancing to statistical modeling, predictive analytics, machine and deep learning, multimodal analytics and generative AI.

Courses emphasize real business problems and applied learning, culminating in a capstone project that integrates multiple analytical approaches to support decision-making. Ethical and responsible use of data and AI are woven throughout the program.

The fully online format combines asynchronous coursework with live sessions, offering both flexibility and engagement with current industry data, faculty expertise and peer perspectives.

Key Takeaways

Analytics Skills

• Build strong data literacy by working confidently with messy, real-world data from preparation through modeling and interpretation.
• Apply statistical, predictive and machine learning techniques to uncover actionable insights.
• Leverage generative AI and large language models (LLMs) responsibly to enhance analysis.

Business impact

• Integrate insights from multiple analytical approaches, including multimodal analytics, to solve complex business problems.
• Communicate results clearly through visualizations, reports and executive-ready recommendations.

Career impact

Brown’s business analytics courses prepare you for analytical roles across industries, where data literacy and decision-making skills are increasingly in demand.

Graduates pursue careers in:

• Business analytics and business intelligence
• Analytics consulting and advisory roles
• Product, operations and strategy teams
• Decision science and data-driven leadership roles