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What Can You Do with an MBA/Master's in Data Science Dual Degree?

An MBA and master's in data science dual degree can prepare graduates for careers in data science, business analytics, consulting, product management, and technology strategy. Career opportunities range from technical positions such as data scientist to business roles such as analytics consultant, with opportunities to pursue leadership positions as experience grows.

What is an MBA/MS in Data Science Dual Degree?

An MBA/MS in Data Science dual degree combines a Master of Business Administration (MBA) with a Master of Science in Data Science (MSDS). An MBA focuses on business strategy, finance, marketing, operations, and leadership. An MSDS focuses on programming, statistics, machine learning, and data analysis. Together, these degrees teach students how to understand data and use it to guide business decisions.

An MBA alone prepares graduates to lead teams, manage organizations, and develop business strategies. An MSDS alone prepares graduates to analyze data, build models, and solve complex problems with technology. A dual degree combines both skill sets. Graduates can use data to find business opportunities, solve problems, and plan for the future.

What Do You Learn in an MBA/MS in Data Science Program?

Students develop a combination of technical, analytical, and management skills. Willamette graduates can expect to build skills in areas such as:

  • Business and management: Develop skills in finance, accounting, marketing, operations, organizational management, and business strategy.
  • Data and analytics: Develop skills in predictive modeling, identifying patterns and trends, and analyzing data sets to understand customer behavior, assess financial performance, and inform business decisions.
  • Programming languages and technology: Use Python, R, data engineering techniques, machine learning, and AI tools.
  • Communication: Translate complex data findings into clear reports, presentations, and data visualizations that help business leaders understand trends and make informed decisions.
  • Problem solving: Apply critical thinking to complex business and data challenges.
  • Ethics and governance: Evaluate ethical issues involving data collection, privacy, algorithms, machine learning, and AI.
  • Collaboration: Work effectively across teams and disciplines to solve problems and apply ideas.
  • Real-world application: Apply business and data science knowledge to real-world projects and professional settings.
A student talking to two other students in a data science class

What Jobs Can You Consider With an MBA/MS in Data Science Dual Degree?

An MBA/MS in Data Science can prepare graduates for careers across business, technology, analytics, and consulting. These roles combine data analysis with business strategy to help organizations solve problems, improve operations, and make informed decisions. Potential career paths depend on your experience, technical skills, and professional goals.

These roles guide organizations, improve operations, and use business and data insights to support growth and strategic decisions.

  • Analytics Manager
  • Business Development Manager
  • Chief Analytics Officer
  • Chief Data Officer
  • Corporate Strategist
  • Operations Manager
  • Tech Entrepreneur

These roles use programming, statistical methods, data systems, and AI to build models, solve complex problems, and develop data-driven solutions.

These roles turn data into insights that help organizations measure performance, identify trends, and improve decisions.

  • Business Intelligence Analyst
  • Business Systems Analyst
  • Customer Insights Manager
  • Marketing Analyst
  • Supply Chain Analyst

These roles use financial analysis, quantitative modeling, and risk assessment to guide investments, evaluate uncertainty, and support regulatory compliance.

These roles help organizations solve business challenges, develop strategies, and create products that meet customer needs and business goals.

*Some careers may require or benefit from additional education or certifications, so talk with a career advisor for specific career paths.

Is an MBA/Master's in Data Science Worth It?

An MBA and master's in data science dual degree may be worth pursuing if your career goals require both advanced analytical skills and an understanding of business strategy, finance, and management. The combination can be particularly useful for professionals interested in analytics consulting, product management, technology strategy, or eventually leading data-focused teams.

However, earning both degrees requires a greater investment of time and money than pursuing a single degree. If you want to concentrate primarily on technical work, such as programming, statistical modeling, or machine learning, a master's in data science alone may be sufficient. Similarly, professionals who want to focus on general management without developing advanced technical skills may find that an MBA better matches their career goals.

The value of a dual degree ultimately depends on your previous education, professional experience, intended career path, and the cost and length of the program.

Three students sitting in a classroom during an MBA lecture

Is Data Science Useful for an MBA?

Yes. A program in data science can be useful for students pursuing an MBA who want to make better business decisions. Businesses use data to understand customers, track performance, predict trends, and find new opportunities. Students learn to analyze data, forecast results, and use evidence to guide decisions.

These skills can strengthen a student's skill set in areas such as finance, marketing, and business strategy. They can also help students work with technical teams and explain data findings to business leaders. Combining business knowledge with data science can prepare graduates to solve problems, improve operations, and help organizations reach their goals.

A group of MBA students sitting in a classroom looking at their laptop

Is an MBA Good for Data Science?

Yes. An MBA can complement a master's degree in data science by teaching students how businesses operate and make decisions. Data science professionals often analyze data and build models to solve problems. Business skills help them connect their findings to an organization's goals and needs.

This combination can help graduates communicate with different teams, explain technical ideas, and manage projects. It can also support career growth into leadership roles in data science, business analytics, product management, and technology strategy. For students who want to combine technical knowledge with business skills, an MBA can add valuable experience to their education.

Two students chatting during an MBA class

Why Get an MBA and a Master's of Science in Data Science?

While both degrees are valuable on their own, they can be even more beneficial together. Build knowledge in data analysis, business operations, strategy, and statistics to develop a well-rounded skill set. Combining these areas can help you understand not only what the data shows, but also how to use it to guide business decisions.

For example, a data scientist might build a model to predict customer behavior. With an MBA, they can also connect those findings to marketing strategies, revenue goals, and customer retention. A business leader with data science training can use analytics to spot trends, measure performance, and make better-informed decisions. Similarly, a consultant with both degrees can help organizations turn complex data into practical growth strategies.

Why Earn an MBA/MS in Data Science at Willamette?
    1 /
    Join Two Top-Ranked Degree Programs

    Our Data Science and MBA programs are consistently ranked among the best in the Pacific Northwest. Our graduate programs are featured in publications such as Poets & Quants, Forbes, Princeton Review, and Businessweek. Our MBA is the only dually accredited program by AACSB and NASPAA. Join two nationally ranked programs that have a strong reputation in the Pacific Northwest and beyond.

    A professor talking to students in a data science classroom
    2 /
    Support and Resources

    MBA/MSDS students can use resources from both the Atkinson Graduate School of Management and the School of Computing and Information Science. Talk with specialized advisors about career support in both business and data science, join student clubs to get involved, or make connections on the Portland and Salem campuses. You'll also build a strong resume thanks to hands-on learning courses through both programs.

    Two professors sitting with a student
    3 /
    Join a Strong Alumni Network

    Our alumni span industries, locations, and job titles. Connect with individuals in data science, business, technology, finance, and other industries to grow and develop your professional network. Meet other alumni who have forged a path in business and data science to help you understand the industry, possibilities, and even potential jobs.

    Two students reviewing work on a laptop
    4 /
    Hands-On Learning

    Throughout every program at Willamette University, students experience hands-on learning meant to connect concepts to real-world problems. The MBA program offers courses such as the O'Neil Investment Fund, the Philanthropic Investment for Community Impact, the Angel Fund, and PACE. Our data science program offers a capstone course that helps students use real-world data with a group project. Within the dual degree curriculum, students are also required to complete an internship, connecting lectures and projects to real employers.

    A student presenting to a room of people
    5 /
    Save Time and Money

    Instead of choosing between an MS in Data Science and an MBA, pursue both. Our program only takes one more semester than our traditional MBA program, which means students will earn two powerful degrees in a short amount of time. Our financial aid and scholarship awards also carry over all five semesters. Save time and money while building the technical knowledge you need to achieve your career goals.

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