What Can You Do With a Graduate Degree in Analytics?

On the surface, “data analytics” might seem like a set of tools anyone can master by running a few applications. Because automated analytics features are now built into many common platforms, it can be easy to underestimate the depth of skill required to work in analytics professionally.

Building a career in analytics requires more than access to the right tools. What can you do with an analytics-focused degree? Does a graduate education provide skills or experience that would help you achieve your career goals more efficiently?

The long-term return on investment depends on how well you align your education with your career goals, as analytics is a complex subject that requires knowledge of information systems and real-world workflows in specific industries.

Different degrees will open different doors, so it’s beneficial to understand the diverse jobs in the analytics field and what they involve. Here’s a rundown of common roles you can pursue with a master’s degree in analytics and industries that offer longevity.

Key takeaways

• A graduate degree in analytics can prepare you for roles in business intelligence, data science, analytics engineering, policy research, healthcare, logistics, and other data-driven fields.
• Analytics career outcomes vary by specialization, industry, and the kinds of problems you want to solve.
• Common analytics roles include data analyst, BI analyst, data scientist, analytics engineer, policy analyst, systems analyst, and research-focused positions.
• Graduate education can help you build technical depth, applied experience, and a portfolio that demonstrates readiness for analytics roles.
• Northeastern’s analytics-related programs offer different pathways depending on whether you want to focus on business decisions, predictive modeling, systems optimization, or social and policy analysis.

What path do you plan on pursuing?

As a broad field, analytics touches on statistics, engineering, predictive modeling, data visualization, artificial intelligence, and business decision-making. Beyond the foundational skills, analytics also has different objectives depending on the industry and type of organization. The most common objectives are:

• Profitability and business process improvement
• Social welfare and public policy research
• Disease prevention and healthcare optimization
• Public safety and security risk management

Degree outcomes vary by specialization and industry, and different roles emphasize certain skills more than others. Do you want to diagnose problems and search for solutions? Study and monitor socioeconomic patterns over time? Develop models to predict trends and guide decision-making? Knowing which path you want to pursue can point you to the right degree.

The breadth of data analytics is a strength, but it does not mean every role requires the same preparation. Core analytics skills can transfer across industries, while specialization helps you apply those skills to a specific field, function, or type of problem.

Common roles for graduates in analytics-related programs

Analysts can work in any information-heavy industry, not just the technology sector. While responsibilities vary, most roles require the ability to prepare raw or unstructured data, experiment with computational techniques, and use pattern analysis to solve problems.

Labor market data supports that range of opportunities. The U.S. Bureau of Labor Statistics projects employment for data scientists to grow 34% from 2024 to 2034, operations research analysts to grow 21%, and market research analysts to grow 7%. Each of these roles connects to a different part of the analytics landscape, from predictive modeling to systems optimization to market and customer research.

Depending on your professional interests, here are common career options for those with a master’s in analytics.

Data analyst and business intelligence roles

Analysts organize and evaluate data, applying statistical techniques to find patterns and study relationships between datasets. To communicate their findings and make data more accessible, they create reports, visualizations, and dashboards to share information with stakeholders.

Business intelligence (BI) roles specifically focus on improving business performance and operational efficiency, and they provide strategic recommendations using data-based evidence.

Data scientist and predictive modeling roles

Professionals in data science and predictive analytics roles develop models for studying and comparing data. A “model” is the structural framework that identifies data by attributes, constraints, and relationships. By looking at different identifiers and using machine learning, data scientists evaluate historical data trends, spot risks and quality concerns, and predict future trends.

Compared with many business analytics roles, data science roles often require deeper computational, statistical, and machine-learning expertise.

Analytics engineer and systems-oriented roles

Analytics engineers and systems design teams provide the technical foundation for data science by processing data to make it ready for analysis. Organizations collect unstructured data in various formats, ranging from online surveys to voice-capture software to handwritten paperwork.

Raw data has to be checked for errors, categorized, and coded into databases, where it can be stored until specific information needs to be extracted. Professionals in systems-oriented roles develop and optimize the data infrastructure based on an organization’s technological needs and security standards.

In many organizations, this work connects directly to operational performance: helping teams improve systems, automate workflows, manage data at scale, and support more reliable decision-making.

Research, policy, and social analysis roles

Analysts in policy and research roles use data to study organizational or social issues that affect public well-being and the environment. Depending on the type of organization, analysts may assess the effectiveness of policies and programs or analyze behavior patterns and recommend appropriate interventions.

Gregory M. Zimmerman, PhD, program director of Northeastern’s Master of Science in Applied Quantitative Methods and Social Analysis, describes this path as one for “ambitious social scientists and analysts primed to deploy computational tools for social analysis and tackle social science questions of equity, hierarchy, social organization, and social systems.”

Industries where analytics graduates are finding opportunities

Organizations of all sizes are starting to understand how data analytics can improve strategic planning and business outcomes. Yet, they can’t access the full potential of their data without having expert analysts on their team.

“Over the last five to 10 years, even before the big AI hype, I think there’s been such a huge volume of data that exists in basically every sector,” says Joe Reilly, program director for Northeastern’s Master of Professional Studies in Analytics.

“These data scientists and data analysts aren’t just at the Googles and Facebooks of the world. They’re at startups, they’re at every traditional grocery store. Every type of sector is using these technologies in different ways. There’s still a big demand for people who can get insights and value out of these large unstructured data sets.”

Careers in data analytics are growing across all industries, especially:

• Finance: Financial analysts give businesses strategic advice on budgetary issues and investments, and advise consumers on portfolio management.
• Healthcare and hospitals: Analysts in healthcare help organizations design better healthcare workflows and care delivery. They also study health records to understand risk factors, develop disease prevention strategies, and achieve better health outcomes.
• Pharma: In pharmaceuticals, data analytics is used throughout drug development to assess safety and effectiveness, identify biological risk factors, and maintain quality control.
• Retail and e-commerce: Analytics allows retailers and manufacturers to assess operations and learn from consumer behavior. Using data, businesses can improve everything from product development and marketing to conversion rate and customer retention.
• Transportation and logistics: The many moving parts in logistics are easier to manage and optimize by using data analysis to improve routes, manage fleets and supply chains, and predict maintenance needs.
• Public sector, nonprofits, and policy research: Evidence-based decision-making is critical in these sectors because resource allocation, compliance, outreach, and program evaluation often depend on reliable data.
• Sports and emerging sectors: Statistical analysis is valuable in sports and betting for evaluating player performance and creating successful strategies. In other sectors, data analytics is useful for maximizing engagement and finding new opportunities to connect with fanbases.

How graduate education can expand your options

Earning a master’s degree can put current or prospective analysts in a stronger position for advancement and career transitions. Many students come from industries where the use of data analytics is growing, and they’re interested in integrating these skills with their existing domain knowledge.

A specialized education allows professionals of all backgrounds and skill levels to expand their technical depth. Applied projects provide the opportunity to work with authentic datasets that reflect the real challenges analysts face when cleaning, organizing, and interpreting data. Projects also help early-career professionals and career changers develop a portfolio demonstrating their ability to analyze complex information and solve problems.

However, the long-term impact of a graduate education depends on how well the program aligns with your goals. Career outcomes differ by program because each degree is tailored to different professional contexts.

Some roles require stronger business intelligence and communication skills. Others require more technical depth, systems knowledge, predictive modeling, or social-science research methods.

Which analytics program is right for you?

Choosing the right degree path enables you to get the most value from your educational commitment. Northeastern, for instance, offers several analytics-related programs, each with its own focus area.

• The Master of Professional Studies in Analytics is suited for students interested in business intelligence and solving organizational problems through data-driven decision-making. The program can be a strong fit for those who want to apply analytics in practical business, operational, or stakeholder-facing contexts.
• The Master of Science in Data Analytics Engineering is designed for students who want to apply analytics to systems, operations, products, processes, and data infrastructure. This path is especially relevant for those interested in designing, maintaining, and improving the systems that help organizations use data more effectively.
• The Master of Science in Data Science supports students who want deeper technical preparation in areas such as data mining, statistics, machine learning, modeling, and large-scale data analysis. This path is often a better fit for those interested in predictive modeling, technical analytics, and computational problem-solving.
• The Master of Science in Applied Quantitative Methods & Social Analysis builds upon foundational analysis and computational techniques with a greater emphasis on social science, policy, research, and public-interest applications. This path is suited for students who want to use quantitative methods to study social systems, human behavior, equity, institutions, or policy outcomes.

What sets a strong analytics program apart?

If you’re serious about pursuing a career in analytics, look for degree programs that will increase your competitiveness as a job candidate entering the field. Reputable programs offer clear pathways to skill development and have opportunities for experiential learning baked into the curriculum.

Projects that provide access to real-world datasets from organizations in relevant industries prepare students to solve complex problems in a real work setting. When comparing schools, take the faculty credentials into consideration. Instructors who have hands-on experience can answer questions with more insight and depth, helping students think critically about challenging situations.

Also, look for program features such as industry ties and co-ops that allow students to build relationships with mentors and employers who can aid in navigating the job market after graduation.

Choose the analytics path that fits your career goals

A graduate degree in analytics can lead in many directions, from business intelligence and data science to systems optimization, policy research, healthcare analytics, logistics, and more. The right path depends on the kind of work you want to do, the skills you need to build, and the industries or problems that interest you most.

Northeastern’s suite of analytics programs is designed to help professionals develop specialized knowledge that aligns with different career outcomes. Whether you want to apply analytics to organizational decisions, build predictive models, design data systems, or use quantitative methods to study social and policy questions,

Northeastern offers multiple pathways to help you move forward.

If you’re exploring graduate study in analytics, consider Northeastern’s master’s programs in analytics—Master of Professional Studies in Analytics, Master of Science in Data Science, Master of Science in Data Analytics Engineering, and Master of Science in Applied Quantitative Methods & Social Analysis.