Job Matches
Washington job postings for occupations your coursework prepares you for. Sorted by how many of the occupation's tasks your courses cover.
Showing CareerOneStop postings from the last 30 days; the scraper re-syncs from CareerOneStop nightly. Last posting in this list dated 2026-10-02.
Scraper last re-confirmed a WA posting 2026-10-02 11:22.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Analyze, manipulate, or process large sets of data using statistical software.
-
Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
via CSCD 484
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Draw conclusions or make predictions, based on data summaries or statistical analyses.
-
Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
via MATH 485
-
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
via MATH 491
- Calculate sample size requirements for clinical studies.
-
Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
via MATH 491
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
-
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.
via CSCD 210
-
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.
via CSCD 210
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowledge of computer capabilities, subject matter, and symbolic logic.
- Correct errors by making appropriate changes and rechecking the program to ensure that the desired results are produced.
-
Perform or direct revision, repair, or expansion of existing programs to increase operating efficiency or adapt to new requirements.
via CSCD 210
-
Consult with managerial, engineering, and technical personnel to clarify program intent, identify problems, and suggest changes.
via CSCD 210
- Conduct trial runs of programs and software applications to be sure they will produce the desired information and that the instructions are correct.
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Present the results of mathematical modeling and data analysis to management or other end users.
- Define data requirements, and gather and validate information, applying judgment and statistical tests.
- Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
-
Prepare management reports defining and evaluating problems and recommending solutions.
via MATH 491
-
Collaborate with others in the organization to ensure successful implementation of chosen problem solutions.
via CSCD 210
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
-
Interpret results of financial analysis procedures.
via MATH 485
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
-
Maintain or modify all financial analytic models in use.
via MATH 485
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.
-
Develop and document database architectures.
via CSCD 300
-
Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
via CSCD 485
- Develop data models for applications, metadata tables, views or related database structures.
- Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
-
Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
via MATH 241
These could be filled by an applied project, elective, or internship — see the program page for examples.