What can you do with a Master of Translational Data Analytics?

Data is everywhere. The question organizations are desperate to answer, and willing to pay well to have answered, is what it all means.

That’s the work of data analytics professionals. Right now, the demand for people who can do that work well is outpacing the supply of qualified candidates in virtually every industry. If you’re considering a Master of Translational Data Analytics, you’re looking at one of the most future-oriented credentials.

What is a master’s in data analytics?

What is a master’s in data analytics? It’s a graduate degree that prepares professionals to collect, analyze, and interpret large sets of data. It communicates what that data means in ways that drive real decisions.

The Ohio State University’s Master of Translational Data Analytics (MTDA) takes a distinctly interdisciplinary approach. Offered through Ohio State’s Translational Data Analytics Institute, the program draws on expertise from faculty across Computer Science and Engineering, Statistics, Design, and the Advanced Computing Center for the Arts and Design. The result is a degree centered on data storytelling, turning raw information into insights that drive real decisions, through data visualization, user experience design, statistical modeling, and machine learning.

Notably, no significant background in analytics or programming is required to apply. The program is built to meet professionals from diverse fields like healthcare, education, finance, government, and the arts to equip them with in-demand analytical skills regardless of their starting point.

What does a data analyst do?

What does a data analyst do? At its core, a data analyst collects and examines data to help organizations make better decisions. Day to day, that might mean building data visualizations that communicate trends to leadership, running statistical analyses to evaluate a program’s effectiveness, developing predictive models to forecast outcomes, or designing the full-cycle workflow that takes raw data from acquisition to actionable insight.

MTDA is built around these competencies. Through a blend of synchronous and asynchronous coursework totaling 27 credit hours, students develop fluency in data storytelling, statistical methods, user experience design, and design thinking, the framework that ties it all together.

A two-semester capstone project places students in partnership with real project sponsors, guiding them through the complete data-science lifecycle and producing work with immediate real-world application.

Data analyst skills employers are looking for

According to the Bureau of Labor Statistics (BLS), there are six important qualities for data scientists, and each maps directly to what MTDA is designed to develop:

• Analytical skills: The ability to research, examine, and interpret findings. MTDA’s design thinking framework grounds this in real-world problem-solving from day one.

• Computer skills: Writing code, analyzing data, developing algorithms, and using data visualization tools. The program’s coursework in computer science, data management, and visualization builds this fluency progressively, even for students without a technical background.

• Communication skills: Conveying results to both technical and nontechnical audiences to make business recommendations. Data storytelling is MTDA’s defining focus, and it runs through every course in the curriculum.

• Logical-thinking skills: Designing and developing statistical models and analyzing data. Coursework in statistics and machine learning develops the analytical rigor employers expect.

• Math skills: Using statistical methods to collect and organize data. The program’s statistics coursework provides the quantitative foundation needed to work confidently with large, complex datasets.

• Problem-solving skills: Devising solutions to problems in data collection, cleaning, and statistical modeling. The two-semester capstone project puts this into practice with real-world data from a corporate partner.

Data analytics job growth and career paths

MTDA prepares graduates for analytical roles across a wide range of industries, including healthcare, education, finance, government, and the arts.

Across these sectors, demand for data analytics professionals continues to rise rapidly, with job growth among the strongest tracked by the BLS.  Here’s a look at where graduates commonly land, along with BLS median wage data for each role:

Data scientist

• What do they do? Develop and implement analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Employment growth: Data scientists are projected to grow 34% from 2024 to 2034, making it the fourth fastest-growing occupation in the U.S. economy.
• Median annual wages: The BLS reports a median annual wage of $112,590, with senior-level professionals earning up to $194,410.

Information security analyst

• What do they do? Plan, implement, and monitor security measures to protect computer networks and information systems.
• Employment growth: Information security analysts are projected to grow 29% from 2024 to 2034.
• Median annual wage: The BLS reports a median annual wage of $124,910, with senior-level professionals earning up to $186,420.

Operations research analyst

• What do they do? Apply mathematical modeling and data analysis to help organizations improve decision-making and policy formulation.
• Employment growth: Operations research analysts are projected to grow 21% from 2024 to 2034.
• Median annual wage: The BLS reports a median annual wage of $91,290, with senior-level professionals earning up to $159,280.

Computer systems analyst

• What do they do? Analyze and develop solutions to complex data processing and systems problems across science, engineering, and business.
• Employment growth: Computer systems analysts are projected to grow 9% from 2024 to 2034.
• Median annual wage: The BLS reports a median annual wage of $103,790, with senior-level professionals earning up to $166,030.

Management analyst

• What do they do? Conduct organizational studies, design systems, and develop solutions to help management operate more efficiently.
• Employment growth: Management analysts are projected to grow 9% from 2024 to 2034.
• Median annual wage: The BLS reports a median annual wage of $101,190, with senior-level professionals earning up to $174,140.

Market research analyst

• What do they do? Research market conditions, analyze consumer data, and develop recommendations to inform marketing and business strategy.
• Employment growth: Market research analysts are projected to grow 7% from 2024 to 2034.
• Median annual wage: The BLS reports a median annual wage of $76,950, with senior-level professionals earning up to $144,610.

Is a master’s in data analytics worth it?

Is a master’s in data analytics worth it? For professionals who want to compete for the most analytically demanding roles — and the salaries that come with them — the answer is increasingly yes.

Ohio State’s MTDA was ranked among the top 10 Best Online Master’s in Data Analytics programs in 2024 by AnalyticsDegrees.org. The program can be completed in as few as five semesters or as many as ten, depending on your pace, making it viable for working professionals who can’t step away from their careers. No GMAT or GRE is required, and admission is holistic, meaning your professional experience and goals carry real weight.

For professionals serious about data, the case for graduate-level credentials has never been stronger. The data field is accelerating. Organizations in every industry are hiring professionals who can turn data into decisions. Ready to take the next step in your data analytics career? Connect with an Ohio State Enrollment Advisor to get started.