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  1. Programs
  3. Interdisciplinary Studies: Science & Quantitative Reasoning

Interdisciplinary Studies: Science & Quantitative Reasoning

Solano Community College

Associate's Degree

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

No description available.

Dates

Since Jan 2008

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Program Pathways

Credentials this program stacks toward

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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

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Locations

Where this program is offered

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 13-2099.01

Skills

MathematicsCritical ThinkingReading ComprehensionComplex Problem SolvingSpeakingActive LearningActive ListeningJudgment and Decision Making

Knowledge

MathematicsEconomics and AccountingComputers and ElectronicsEnglish Language

Abilities

Mathematical ReasoningWritten ComprehensionOral ComprehensionWritten ExpressionDeductive ReasoningNumber FacilityOral ExpressionProblem SensitivityInductive ReasoningInformation Ordering

Tasks

  • Apply mathematical or statistical techniques to address practical issues in finance, such as derivat
  • Research or develop analytical tools to address issues such as portfolio construction or optimizatio
  • Interpret results of financial analysis procedures.

Technology

Data base user interface and query softwareData base management system softwareFinancial analysis softwareObject or component oriented development softwareData mining software

Tools

Computer data input scannersDesktop computersLaptop computersMainframe computersMulti-line telephone systemsPersonal computersPhotocopying equipment

Work Values

IndependenceAchievementWorking ConditionsRecognitionRelationshipsSupport
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium13-2099.01Financial Quantitative Analyststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Associate's Degree)

  • Applied mathematical and econometric techniques — deploy with reduced oversight to address practical risk management and securities trading problems in live market environments.
  • Portfolio optimization models — develop and calibrate using advanced quantitative methods to support portfolio construction decisions across assigned strategies.
  • Analytical results from financial models — interpret and translate into actionable insights for trading desk stakeholders with minimal senior intervention.
  • Model libraries — maintain and modify routinely by updating parameters, correcting errors, and validating outputs within an established model governance framework.
  • Data mining and analytical software — leverage independently to explore large financial data sets and identify statistically significant patterns for team use.
  • Written summary reports — produce that clearly communicate quantitative research findings, methodology, and limitations to both technical and non-technical audiences.
  • Model specification recommendations — formulate and propose for peer review by evaluating alternative functional forms and data inputs for pricing or attribution models.
  • Performance measurement and attribution frameworks — build and apply to evaluate portfolio returns against benchmarks in an asset management environment.
  • Econometric and statistical model assumptions — critically evaluate using deductive and inductive reasoning to identify potential model risk before deployment.
  • Analytical support — provide responsively to traders and researchers on valuation and data issues, applying sound judgment to resolve moderate-complexity queries independently.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported