If you’re considering a career in data science, you should know that careers in this field are robust and expanding. According to O*NET, data scientist employment opportunities are projected to grow by around 7% through the mid-2030s, far outpacing most occupations, fueled by ongoing reliance on data, AI integration and digital transformation across sectors like tech, finance, healthcare and beyond.
Working professionals who want to pursue a Master of Business Administration (MBA) in Data Science and Information Systems can take advantage of the fully online program from Pittsburg State University. The format’s flexibility works with your schedule, consists of 30 credit hours and can be completed in as few as 12 months. This program can help you become a transformative leader in data science for virtually any organization.
What Is Data Science and Why Does It Matter for Business?
Those who choose to work in data science typically have a love of mathematics and enjoy intellectual challenges. Data science encompasses a wide variety of roles, including machine learning engineer, data analyst, product analyst, classic data scientist, research engineer and statistician.
Pure IT or statistics roles focus more on building, maintaining and securing systems, applications and networks, while data science focuses on the insights and predictions that can be derived from data. Combining data science with an MBA helps position you for leadership roles where your business acumen, communication skills, ethical reasoning and strategic decision-making will give you a career advantage.
What Can You Do With an MBA in Data Science?
Several career paths are available once you have completed your online MBA in Data Science and Information Systems degree. Having an advanced degree in data science provides a management/leadership edge over a technical-only degree. These roles are significant for a variety of industries, such as finance, healthcare, marketing and logistics, and include the following:
- Data analysts analyze, manipulate and process large sets of data to model and compare findings that predict outcomes such as sales or attrition. This role requires cleaning and organizing raw data to ensure it is accurate and ready for analysis.
- Database managers oversee the systems that store, organize and secure an organization’s data. They work cross-functionally with developers, stakeholders and executives to ensure data is accessible, accurate and structured to support reporting, performance tracking and business analytics.
- Market research analysts study market conditions, consumer behavior and competitive trends to help organizations identify opportunities and make informed strategic decisions. They translate complex data findings into actionable recommendations that shape an organization’s long-term direction and growth.
- Operations research analysts gather and analyze data for key business functions like budgeting, risk management and forecasting. They identify and recommend strategic fixes, drive process improvements and deliver solutions aligned with broader business goals.
MBA in Data Science Salary and Job Outlook in 2026
Graduates with a data science MBA earn a median annual salary of $112,590, with top earners reaching well into six figures. Organizations across finance, healthcare, marketing and logistics are actively seeking professionals who can bridge technical expertise with strategic leadership.
This combination of business acumen and data fluency commands a premium in the job market, and the outlook reflects that demand. O*NET projects data scientist employment growth to continue through 2034, making it one of the stronger career options available to advanced degree holders today.
MBA in Data Science vs. Traditional Data Science Degrees
An MBA focused on data science blends core business education with specialized data/AI coursework. With a focus on leadership, strategy, operations and organizational management, this degree is for the person who wants to lead while still obtaining solid technical skills.
An MS in data science dives deep into technical mastery. The focus is more on advanced technical skills like machine learning, big data engineering and AI techniques. As opposed to business strategy, analytics or operations. Computer Science is even broader and encompasses skills like software engineering systems, theory and cybersecurity. These technical degree paths are perfect for those who love programming and want to choose an individual contributor or highly specialized career path.
Becoming a Transformative Business Leader in Data Science
As in most career fields, professionals with an advanced degree consistently earn at the highest levels. When measured against long-term earning potential, the cost to complete an MBA in Data Science and Information Systems online with Pittsburg State University is a sound investment in your future.
The calendar is flexible and features 7-week courses with multiple start dates. The online format makes it convenient to balance work, family and other responsibilities. The Gladys A. Kelce College of Business at Pittsburg State University is accredited by the Association to Advance Collegiate Schools of Business (AACSB International), ensuring the program meets the highest standards in business education.
Learn more about Pittsburg State University’s online MBA in Data Science and Information Systems program.
