Data Analytics

The 31-credit-hour curriculum includes a Liberal Studies core, a Data Analytics core, and flexible electives. The 12-credit Liberal Studies core builds interdisciplinary thinking, research, and knowledge systems to prepare students for advanced study and lifelong learning. The 12-credit Data Analytics core focuses on applied topics, including business intelligence, big data, and analytics fundamentals, offering hands-on experience with industry-standard tools for managing, analyzing, and visualizing data. The remaining 9 credits of electives in advanced technology and research methods allow students to tailor their studies to areas such as AI, healthcare analytics, or public sector analysis.

IDS 816: Writing and Visualizing Data

In today’s era of big data, the ability to visualize information effectively is a critical skill. This course enhances students’ knowledge and practical abilities in presenting and communicating data for research, organizational, or community decision-making. Students learn to match datasets with appropriate visualization techniques and craft compelling stories tailored to their intended audiences.

SOC 621G: Advanced Sociological Research

This applied course teaches students to perform basic and advanced statistical analyses of quantitative data using SPSS. Students complete a research project that includes developing theory-driven hypotheses, analyzing data, and reporting conclusions. Graduate students also use original data collection and advanced statistical methods to strengthen their analytical skills.

INF 603G: Big Data Analytics

This course focuses on the analysis and design of large, integrated databases. Students explore design alternatives, including the logical and physical representation of data, storage and retrieval mechanisms, and query languages. The curriculum also includes a survey of existing database systems and examines the roles and responsibilities of database managers and analysts.

Discover the full Master of Liberal Studies (Data Analytics) course listing by visiting the Academic Catalog.

As data becomes increasingly central to business and public decision-making, graduates pursue diverse, high-impact career opportunities. The program equips students with a blend of technical expertise, strategic thinking, and strong communication skills that employers highly value.

Data Analyst / Business Analyst

Data and business analysts collect, organize, and interpret data to drive informed business decisions. Using tools such as SQL, Python, and Power BI, they identify patterns and trends that inform strategy and operations. By translating complex data into clear, actionable recommendations, analysts provide critical insights that add value across a wide range of industries.

Business Intelligence Specialist

Business intelligence specialists design and manage systems that enable organizations to effectively interpret and utilize internal data. They create dashboards, generate reports, and monitor key performance indicators, supporting operations across marketing, supply chain management, and other areas, and ensuring that data drives effective decision-making.

Strategy and Operations Analyst

Strategy and operations analysts focus on improving internal processes and supporting organizational initiatives. By combining expertise in analytics with an understanding of organizational behavior, they utilize data to optimize systems, reduce costs, and enhance efficiency in corporate and nonprofit environments.

Market Research Analyst

Market research analysts collect and analyze data on consumers, competitors, and market trends to guide business decisions. They help determine which products to offer, where to sell them, and how to market them effectively. Additionally, they support campaign evaluations, pricing strategies, and product launches.

Data Governance or Ethics Officer

Data governance and ethics officers ensure that organizations manage and use data responsibly, adhering to privacy regulations and maintaining data integrity. They oversee data collection, storage, and ethical use, which are crucial in fostering public trust and promoting organizational accountability.

Applicants to the Master of Liberal Studies (Data Analytics) program at Fort Hays State University must hold a bachelor’s degree from a regionally accredited institution. The Graduate School requires a minimum GPA of 3.0 in the last 60 credit hours of coursework, though faculty may grant exceptions based on professional experience or other qualifying achievements.

Application Materials

Applicants are required to complete the online application and submit all necessary documents, including transcripts, a personal statement, and letters of recommendation. The admissions committee reviews applications, considering the applicant's academic qualifications, professional experience, and potential for success in the program.

Personal Statement

Applicants must submit a personal statement that outlines their career goals, motivation for pursuing the Master of Liberal Studies (Data Analytics), and how the program will support their professional growth. This statement serves as a key component of the application review process.

Letters of Recommendation

Applicants are encouraged to submit two letters of recommendation. One should be provided by a current or former academic advisor or professor, and the other by a supervisor, manager, or colleague who can attest to the applicant’s qualifications and preparedness for graduate-level study.

English Proficiency (if applicable)

International applicants must demonstrate English proficiency by submitting official scores from the TOEFL, IELTS, or an equivalent assessment, unless their previous education was completed in English.