Worcester Polytechnic Institute

150 Programs 4 Degree levels
Masters

Online Business Analytics MS

DegreeMasters
FieldBusiness Analytics
A

Cost & earnings at Worcester Polytechnic Institute What students borrow here, and what they go on to earn

You borrow $27,000 median federal debt
You repay $307/mo over 10 years
Graduates earn $103,470 10 yrs after entry
Debt clears in 0.4 yrs of the salary premium
US Department of Education figures See the full breakdown →

Worcester Polytechnic Institute's Online Master of Science in Business Analytics is a practitioner-focused programme that teaches statistical modelling, machine learning, data visualisation and data-driven decision-making for business contexts. It suits early- to mid-career professionals who want to apply analytics to marketing, operations, finance and strategy without pausing their careers.

What you'll study

The online MS in Business Analytics at Worcester Polytechnic Institute combines foundational quantitative methods with applied modelling and data engineering. Core themes include statistical inference and regression, predictive analytics and machine learning, optimization and decision analysis, data visualisation, and managing data pipelines for business use.

  • Foundations: probability and statistics for analytics, hypothesis testing, and exploratory data analysis to support sound inference.
  • Modelling and machine learning: supervised and unsupervised learning methods, predictive modelling, model evaluation and validation.
  • Data engineering and tools: data wrangling, databases, SQL, working with large datasets and cloud-enabled analytics workflows.
  • Business-focused analytics: courses that apply analytics to marketing, finance, operations and supply chain, emphasising impact on business decisions.
  • Data visualisation and communication: techniques for presenting results to stakeholders and building dashboards for operational use.
  • Capstone or project: an applied practicum or master's project in collaboration with industry or faculty, where students solve a real business problem using end-to-end analytics.

Delivery is online with a mix of asynchronous lectures, hands-on labs using standard analytics software and programming languages, and cohort activities or synchronous sessions to discuss case studies and projects.

Entry requirements

Applicants are normally expected to hold an accredited bachelor's degree. Admissions consider academic transcripts, a statement of purpose, and professional experience. Applicants with strong quantitative background benefit from prior coursework in calculus, linear algebra and introductory statistics; programming experience (for example in Python or R) is recommended. Some applicants may be asked to complete preparatory coursework if they lack foundational quantitative skills. International applicants whose first language is not English will need to demonstrate English language proficiency.

Career prospects

Graduates of the programme are prepared for roles that combine analytical rigour with business understanding. Typical job titles include:

  • Business Analyst and Data Analyst
  • Data Scientist and Predictive Modeller
  • Analytics Consultant
  • Operations and Supply Chain Analyst
  • Marketing Analyst and Customer Insights Specialist
  • Business Intelligence and Data Engineering roles

Alumni work across sectors such as finance, healthcare, manufacturing, retail, technology and consulting. The programme emphasises applied projects and employer-relevant tools to help students transition into analytics roles or advance within their organisations.

Why study at Worcester Polytechnic Institute

WPI is known for a project-based educational approach that emphasises solving real-world problems, which is integrated into the online MS in Business Analytics through team projects and a capstone. The curriculum balances strong quantitative foundations with applied business contexts and hands-on tool experience. Students benefit from faculty with industry and research experience, opportunities for employer collaborations on applied projects, and career services geared to analytics and STEM careers. The online format is designed for working professionals, offering flexibility while maintaining interaction through group work, live sessions and mentorship on applied analytics projects.

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Programme details are indicative and may change — always verify current information with the official university website before applying.