Business Administration (Data Analytics) | University of Hawaii-West Oahu

Skills & Competencies

Skills developed through this program

Auto-populatedfrom O*NET via SOC 15-2051.00

Skills

Critical ThinkingReading ComprehensionActive ListeningSpeakingComplex Problem SolvingJudgment and Decision MakingWritingActive LearningMonitoringCoordinationSocial PerceptivenessManagement of Personnel Resources

Knowledge

English LanguageMathematicsCustomer and Personal ServiceComputers and ElectronicsEngineering and TechnologyAdministration and ManagementProduction and Processing

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionWritten ExpressionProblem SensitivityDeductive ReasoningSpeech ClaritySpeech RecognitionInductive ReasoningInformation Ordering

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
Review financial statements, sales or activity reports, or other performance data to measure product
Direct and coordinate activities of businesses or departments concerned with the production, pricing
Direct administrative activities directly related to making products or providing services.

Technology

Data base user interface and query softwareBusiness intelligence and data analysis softwareStorage networking softwareCloud-based management softwareProcedure management softwareCustomer relationship management CRM softwareDocument management softwareGraphics or photo imaging softwareHuman resources software

Tools

10-key calculatorsCell phonesComputer scannersCredit card processing machinesDesktop computersDigital camerasHandtrucksHumidity test chambersLaptop computersMagnetic card readersPersonal computersPersonal digital assistants PDAPhotocopying equipmentPoint of sale POS systemsProfilometers

Work Values

RelationshipsWorking ConditionsIndependenceRecognitionAchievementSupport

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
Match confidence: medium11-1021.00	General and Operations Managers	title_inference	$102,950 median	+4.41%	16,400

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: proficient (Level 3)(based on Bachelor's Degree)

Complex, non-routine system and program malfunctions — diagnose root causes autonomously and implement durable fixes across interconnected data systems in enterprise environments.
End-to-end analytical solutions for strategic business problems — design and deliver, integrating data from disparate sources using advanced modeling and business intelligence platforms.
Machine learning and predictive models — develop, deploy, and monitor at full production scale, exercising independent judgment on algorithm selection and validation strategy.
Data infrastructure spanning databases, cloud services, and storage networks — architect and optimize to ensure reliability, performance, and security across the organization.
Ambiguous, high-stakes analytical questions — frame, investigate, and resolve by applying inductive and deductive reasoning across novel data environments.
Cross-functional teams and senior stakeholders — advise by translating complex quantitative findings into accessible recommendations through expert oral and written communication.
Procedure management and content workflow software — configure and govern to standardize data science processes and ensure consistency of analytical outputs.
Ethical, legal, and technical risks in data projects — evaluate with high attention to detail and integrity, applying cautious judgment before deployment decisions.
Custom analytical tools and automation scripts — engineer independently within development environments to accelerate team productivity on recurring research tasks.
Organizational data literacy gaps — assess and address by designing training materials and knowledge-sharing sessions that build analytical capability across user groups.

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.