Master of Science (M.S.) Major in Data Analytics and Information Systems (Non-thesis Option) | Texas State University

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 15-2051.00

Skills

Critical ThinkingReading ComprehensionActive ListeningComplex Problem SolvingSpeakingJudgment and Decision MakingWritingActive Learning

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsEngineering and TechnologyCustomer and Personal Service

Tasks

Troubleshoot program and system malfunctions to restore normal functioning.
Provide staff and users with assistance solving computer-related problems, such as malfunctions and
Test, maintain, and monitor computer programs and systems, including coordinating the installation o

Technology

Business intelligence and data analysis softwareData base user interface and query softwareStorage networking softwareCloud-based management softwareProcedure management software

Career Pathways

Occupations this program prepares you for

Auto-populatedfrom O*NET + BLS

Occupations matched to this program, with median wage, top wage, growth, and openings
SOC	Occupation	Method	Wage	Growth	Openings
Match confidence: high15-2051.00	Data Scientists	title_inference	$112,590 median$194,410 top	+33.51%	8,250

Program Pathways

Credentials this program stacks toward

No program pathways.

What You'll Learn

Key competencies developed through this program

Auto-populatedfrom NSX Competency Framework

Mastery: advanced (Level 4)(based on Master's Degree)

Enterprise-wide data science strategy and capability roadmap — define and champion, aligning analytical investments with long-term organizational objectives across all business units.
Organizational standards for model development, validation, and governance — establish and enforce, setting the technical direction that all data science practitioners follow.
Senior data scientists and cross-disciplinary teams — mentor and develop through structured coaching, performance feedback, and deliberate career growth planning.
Novel methodological approaches and innovative tool adoption — lead evaluation and institutionalization of, driving competitive differentiation through intellectual curiosity and calculated risk-taking.
Executive leadership and board-level stakeholders — advise by synthesizing complex analytical insights into strategic narratives that directly inform high-impact business decisions.
Partnerships with engineering, product, and domain leadership — orchestrate to embed data science solutions into core operational and product development workflows at scale.
Organizational risk posture for data, privacy, and algorithmic accountability — shape by developing policies and oversight mechanisms grounded in integrity and regulatory compliance.
Large-scale system overhauls and data platform modernizations — sponsor and govern, ensuring technical excellence and business continuity throughout multi-year transformation programs.
Talent acquisition pipelines and workforce development programs for data science — design and lead, ensuring the organization attracts and retains top-tier analytical professionals.
Firm-wide culture of evidence-based decision-making — cultivate by modeling rigorous critical thinking and championing data-driven practices at every level of the organization.

Course Pathway

21 courses in this program

Program Requirements

Courses required to complete this program

ACC 5361Accounting Analysis for Managerial Decision Making

3 cr

MKT 5321Marketing Management

3 cr

MGT 5311Process Improvement Management in Organizations

3 cr

MKT 5340Digital Marketing

3 cr

MGT 5321Supply Chain Management

3 cr

GEO 5301Multivariate Quantitative Methods

3 cr

GEO 5418Geographic Information Systems I

4 cr

GEO 5419Geographic Information Systems II

4 cr

HIM 5311Health Informatics and Data Visualization

3 cr

HIM 5340Healthcare Informatics

3 cr

IE 5310Advanced Statistical Design of Experiments for Engineers

3 cr

IE 5340Applied Deterministic Operations Research for Engineers

3 cr

IE 5343Non-Linear Optimization Techniques for Engineers

3 cr

MKT 5322Marketing Research Methods

3 cr

MKT 5323Qualitative Research in Marketing

3 cr

MKT 5345Marketing Analytics

3 cr

MKT 5346Contemporary Topics in Marketing Analytics

3 cr

MKT 5347AI and Data Visualization for Marketing

3 cr

QFE 5320Econometrics

3 cr

QFE 5335Financial Analytics

3 cr

ACC 3313Intermediate Accounting I

3 cr

Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.