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  1. Programs
  3. Computational Life Sciences

Computational Life Sciences

Arizona State University Campus Immersion

Master's DegreeAcademic

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

The Master of Science program in computational life sciences introduces students to a burgeoning new field. Huge leaps in processing technologies have thrown open the doors for new research techniques and exciting opportunities for interdisciplinary collaborations, focusing heavily on genomics data generation, analysis and interpretation.

Credits

30 credits

Format

In-Person

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Program Pathways

Credentials this program stacks toward

No program pathways.

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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

No scholarships listed.

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Locations

Where this program is offered

  • Arizona

    Arizona

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 41-3021.00

Skills

Reading ComprehensionSpeakingActive ListeningCritical ThinkingPersuasionWritingTime ManagementService Orientation

Knowledge

Customer and Personal ServiceSales and MarketingEnglish LanguageMathematicsLaw and Government

Abilities

Oral ComprehensionWritten ComprehensionOral ExpressionSpeech ClarityWritten ExpressionSpeech RecognitionNear VisionProblem SensitivityDeductive ReasoningInductive Reasoning

Tasks

  • Customize insurance programs to suit individual customers, often covering a variety of risks.
  • Sell various types of insurance policies to businesses and individuals on behalf of insurance compan
  • Explain features, advantages, and disadvantages of various policies to promote sale of insurance pla

Technology

Video creation and editing softwareEnterprise resource planning ERP softwareCustomer relationship management CRM softwareDocument management softwareFinancial analysis software

Tools

Desktop computersDigital camerasLaptop computersLaser facsimile machinesLaser printersNotebook computersPen-based computersPersonal computersPostage meters

Work Values

RelationshipsIndependenceAchievementSupportWorking ConditionsRecognition
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: medium41-3021.00Insurance Sales Agentstitle_inference$60,370 median$135,660 top+3.69%2,110
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

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

  • Agency sales strategy — set organizational sales direction, define target market priorities, and establish production goals that align with carrier relationships and regional growth objectives.
  • Team development and coaching — design and deliver training programs for emerging and developing agents, building technical product knowledge and consultative sales skills across the agency workforce.
  • Enterprise-level insurance portfolio design — architect comprehensive multi-line insurance programs for large commercial clients, incorporating risk management principles and long-term coverage strategy at organizational scale.
  • Market intelligence and competitive positioning — analyze industry trends, carrier product changes, and competitor offerings to shape agency value proposition and inform strategic product mix decisions.
  • Carrier and wholesale broker partnerships — cultivate and manage executive-level relationships with insurance carriers and wholesale brokers to secure preferred pricing, expanded product access, and co-marketing opportunities.
  • Regulatory and compliance leadership — serve as the agency authority on evolving insurance law, licensing requirements, and ethical standards, establishing internal policies that ensure organization-wide compliance.
  • Technology adoption and innovation — evaluate, select, and implement CRM, financial analysis, and digital communication platforms that enhance agency productivity, data quality, and client experience at scale.
  • Revenue and profitability oversight — monitor agency financial performance, loss ratios, and retention rates, intervening with strategic adjustments to pricing approach, product focus, or staffing to meet targets.
  • Brand and community authority — represent the agency as a thought leader through speaking engagements, digital content creation, and professional association leadership to strengthen market reputation and referral networks.
  • Talent acquisition and succession planning — identify, recruit, and develop high-potential sales professionals to build organizational depth and ensure continuity of agency leadership and client relationships.

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

Auto-populated·from Scorecard + DOL
Completion Rate
60%
Placement Rate
71%