Data Engineering - Certificate | Texas A & M University-College Station

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: developing (Level 2)(based on Certificate)

Recurring data pipeline malfunctions — diagnose and resolve with reduced oversight by applying systematic debugging techniques in production environments.
Business problems involving integrated data sources — analyze independently using business intelligence software to develop actionable solution recommendations.
Computer programs and automated workflows — test, maintain, and monitor on a scheduled basis, adapting procedures when standard approaches prove insufficient.
Staff and end-user data-related inquiries — address by providing clear, accurate assistance on database tools and analytical software in a service-oriented setting.
Moderately complex datasets from multiple systems — join, transform, and model using SQL and scripted environments to support departmental decision-making.
Project timelines and analytical deliverables — manage using project management software, coordinating tasks with cross-functional stakeholders independently.
Analytical findings and methodology — document in written technical reports that meet organizational standards for clarity and reproducibility.
Statistical and machine learning models — build and validate in familiar problem contexts, adjusting hyperparameters based on performance metrics.
Data storage and cloud infrastructure configurations — maintain and troubleshoot using storage networking and cloud-based management software with limited supervision.
Emerging tools and analytical techniques — evaluate through active learning and apply selectively to improve existing workflows within established team practices.

Course Pathway

6 courses in this program

14 courses

21 course

31 course

Core course

External prerequisite

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Program Requirements

Courses required to complete this program

ISEN 310Uncertainty Modeling for Industrial Engineering

3 cr

ISEN 311Introduction to Data Analytics and Engineering

3 cr

ISEN 413Advanced Data Analytics for Industry

3 cr

ISEN 427Decision and Risk Analysis

3 cr

DAEN 427Decision and Risk Analysis

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.