Santa Clara University - School of Engineering

Master of Science in Applied Mathematics

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What makes SCU Engineering's
Master of Science in Applied Mathematics Different!

Engineering-First Curriculum Design

Unlike traditional applied mathematics programs housed in arts and sciences colleges, Santa Clara’s program operates within the School of Engineering, fundamentally reshaping its academic priorities. The department explicitly designs courses to solve engineering challenges, with required graduate classes like Advanced Engineering Mathematics I (AMTH 200) focusing on differential equations and integral transforms directly applicable to mechanical systems. This engineering DNA manifests in: Cross-listed courses with mechanical engineering (e.g., MECH 200) Prerequisite structures requiring fluency in engineering contexts, as stated: “Students apply mathematics in an engineering context” Research collaborations where mathematics faculty partner with engineering departments on projects ranging from circuit analysis to structural risk modeling This integration ensures graduates develop mathematical rigor alongside translational skills to implement solutions in aerospace, robotics, and other engineering domains.

Modular Open University Pathway

he program offers an unconventional entry point through its Open University option, allowing non-matriculated students to complete up to 16 graduate units (35% of the degree) before formal admission. This structure provides: Risk mitigation: Professionals can validate their aptitude for advanced mathematics without upfront commitment Career testing ground: Engineers from companies like Intel or Cisco frequently use this pathway to upskill selectively in areas like cryptology or stochastic processes Seamless transition: Completed units automatically apply toward the MS upon admission, compressing time-to-degree No peer institutions in California offer comparable flexibility for non-degree graduate study in applied mathematics.

Dynamic Concentration in Mathematical Finance

While many programs offer generic “applied” tracks, Santa Clara has institutionalized a mathematical finance concentration that evolves with Wall Street and Silicon Valley demands. The curriculum includes: Specialized courses like AMTH 256/257: Applied Graph Theory, which models financial networks and algorithmic trading systems Industry-responsive updates: Recent additions include machine learning for portfolio optimization and blockchain cryptography, developed through partnerships with Bay Area fintech firms Faculty expertise: Chair Aaron Melman publishes on stochastic volatility models used by Federal Reserve stress tests This concentration’s uniqueness lies in its dual focus on theoretical finance mathematics and computational implementation, preparing graduates for roles at the nexus of quantitative analysis and software engineering.

Industry-Embedded Faculty Model

The department prioritizes hiring faculty who maintain active Silicon Valley consulting practices, creating a teaching corps unlike traditional academia: Lecturers like Robert Kleinhenz (former Lead Data Scientist at Splunk) teach courses in statistical learning while advising startups Course development directly responds to industry needs, exemplified by the creation of cryptology classes after requests from cybersecurity firms Asynchronous research: Faculty publications frequently include corporate co-authors from companies like Lockheed Martin and NVIDIA This model ensures students learn contemporary techniques (e.g., GPU-accelerated numerical methods) months before they appear in textbooks.

Interdisciplinary Thesis Equivalency

Santa Clara replaces traditional theses with a flexible 300-level course sequence that permits mathematical exploration across engineering domains. Students must complete 12+ units of AMTH 300+ courses, which include: Collaborative projects: Teams analyze real-world datasets from Santa Clara’s Robotics Lab or Solar Decathlon House Cross-departmental mentorship: Electrical engineering professors co-advise mathematics students on antenna array optimization problems Publication pathways: Top projects transition into joint papers with engineering faculty, with 23% of students co-authoring research before graduation This structure recognizes that modern applied mathematics innovation occurs at disciplinary intersections, not within isolated silos.

Know More about the SCU Engineering Master of Science in Applied Mathematics Program

Santa Clara Universitys Master of Science in Applied Mathematics provides advanced training in mathematical modeling, computational methods, and data analysis. Located in Silicon Valley, the program emphasizes real-world applications in engineering, finance, and technology. Graduates gain problem-solving expertise, preparing them for careers in research, analytics, and industry-driven mathematical solutions. ..... Read More

Duration

24 Months

How does the Class Profile of SCU Engineering's Master of Science in Applied Mathematics Program look like?

Average Class Size

18

Average Age

25.0

Average Work Experience

2.4

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of SCU Engineering's Master of Science in Applied Mathematics program land? Discover More!

Median Earnings after Graduation

USD 86,000/- year

Graduation Rate

87.00 %

Recruiters

Google IBM Intel Meta Two Sigma Jane Street Citadel D.E. Shaw Goldman Sachs Morgan Stanley NASA Los Alamos National Laboratory Amazon Qualcomm MathWorks

Prospective Job Roles

Data Scientist Quantitative Analyst Applied Mathematician Operations Research Analyst Statistical Analyst Algorithm Engineer Machine Learning Engineer Mathematical Modeler Risk Analyst Cryptography Specialist Computational Scientist Business Intelligence Analyst Actuarial Analyst Simulation Specialist Financial Analyst (Quant) Predictive Modeler Bioinformatics Analyst Optimization Specialist AI Researcher Math Curriculum Developer

Eligibility Criteria for SCU Engineering's Master of Science in Applied Mathematics in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 43416/- PER YEAR

Application Fee

USD 95/-

Scholarship Opportunities upto

USD 6 Million

Upcoming SCU Engineering Events

We will be back Soon with Upcoming Events

On Demand Events

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Augmented Reality for Cultural Heritage: The Ohlone AR Tour at Santa Clara University

Bridging History, Technology, and Career Paths: An Immersive Exploration of Ohlone Culture and Alumni Insights on Navigating the U.S. Job Market""
Register to access the video

Know More about the SCU Engineering Master of Science in Applied Mathematics Program

Santa Clara Universitys Master of Science in Applied Mathematics provides advanced training in mathematical modeling, computational methods, and data analysis. Located in Silicon Valley, the program emphasizes real-world applications in engineering, finance, and technology. Graduates gain problem-solving expertise, preparing them for careers in research, analytics, and industry-driven mathematical solutions. ..... Read More

Duration

24 Months

How does the Class Profile of SCU Engineering's Master of Science in Applied Mathematics Program look like?

Average Class Size

18

Average Age

25.0

Average Work Experience

2.4

Want to See Who You'll Be Learning With?

Explore detailed class demographics, academic backgrounds, and industry experiences that define your future classmates.

Where do graduates of SCU Engineering's Master of Science in Applied Mathematics program land? Discover More!

Median Earnings after Graduation

USD 86,000/- year

Graduation Rate

87.00 %

Recruiters

Google IBM Intel Meta Two Sigma Jane Street Citadel D.E. Shaw Goldman Sachs Morgan Stanley NASA Los Alamos National Laboratory Amazon Qualcomm MathWorks

Prospective Job Roles

Data Scientist Quantitative Analyst Applied Mathematician Operations Research Analyst Statistical Analyst Algorithm Engineer Machine Learning Engineer Mathematical Modeler Risk Analyst Cryptography Specialist Computational Scientist Business Intelligence Analyst Actuarial Analyst Simulation Specialist Financial Analyst (Quant) Predictive Modeler Bioinformatics Analyst Optimization Specialist AI Researcher Math Curriculum Developer

Eligibility Criteria for SCU Engineering's Master of Science in Applied Mathematics in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 43416/- PER YEAR

Application Fee

USD 95/-

Scholarship Opportunities upto

USD 6 Million

What makes SCU Engineering's
Master of Science in Applied Mathematics Different!

Engineering-First Curriculum Design

Unlike traditional applied mathematics programs housed in arts and sciences colleges, Santa Clara’s program operates within the School of Engineering, fundamentally reshaping its academic priorities. The department explicitly designs courses to solve engineering challenges, with required graduate classes like Advanced Engineering Mathematics I (AMTH 200) focusing on differential equations and integral transforms directly applicable to mechanical systems. This engineering DNA manifests in: Cross-listed courses with mechanical engineering (e.g., MECH 200) Prerequisite structures requiring fluency in engineering contexts, as stated: “Students apply mathematics in an engineering context” Research collaborations where mathematics faculty partner with engineering departments on projects ranging from circuit analysis to structural risk modeling This integration ensures graduates develop mathematical rigor alongside translational skills to implement solutions in aerospace, robotics, and other engineering domains.

Modular Open University Pathway

he program offers an unconventional entry point through its Open University option, allowing non-matriculated students to complete up to 16 graduate units (35% of the degree) before formal admission. This structure provides: Risk mitigation: Professionals can validate their aptitude for advanced mathematics without upfront commitment Career testing ground: Engineers from companies like Intel or Cisco frequently use this pathway to upskill selectively in areas like cryptology or stochastic processes Seamless transition: Completed units automatically apply toward the MS upon admission, compressing time-to-degree No peer institutions in California offer comparable flexibility for non-degree graduate study in applied mathematics.

Dynamic Concentration in Mathematical Finance

While many programs offer generic “applied” tracks, Santa Clara has institutionalized a mathematical finance concentration that evolves with Wall Street and Silicon Valley demands. The curriculum includes: Specialized courses like AMTH 256/257: Applied Graph Theory, which models financial networks and algorithmic trading systems Industry-responsive updates: Recent additions include machine learning for portfolio optimization and blockchain cryptography, developed through partnerships with Bay Area fintech firms Faculty expertise: Chair Aaron Melman publishes on stochastic volatility models used by Federal Reserve stress tests This concentration’s uniqueness lies in its dual focus on theoretical finance mathematics and computational implementation, preparing graduates for roles at the nexus of quantitative analysis and software engineering.

Industry-Embedded Faculty Model

The department prioritizes hiring faculty who maintain active Silicon Valley consulting practices, creating a teaching corps unlike traditional academia: Lecturers like Robert Kleinhenz (former Lead Data Scientist at Splunk) teach courses in statistical learning while advising startups Course development directly responds to industry needs, exemplified by the creation of cryptology classes after requests from cybersecurity firms Asynchronous research: Faculty publications frequently include corporate co-authors from companies like Lockheed Martin and NVIDIA This model ensures students learn contemporary techniques (e.g., GPU-accelerated numerical methods) months before they appear in textbooks.

Interdisciplinary Thesis Equivalency

Santa Clara replaces traditional theses with a flexible 300-level course sequence that permits mathematical exploration across engineering domains. Students must complete 12+ units of AMTH 300+ courses, which include: Collaborative projects: Teams analyze real-world datasets from Santa Clara’s Robotics Lab or Solar Decathlon House Cross-departmental mentorship: Electrical engineering professors co-advise mathematics students on antenna array optimization problems Publication pathways: Top projects transition into joint papers with engineering faculty, with 23% of students co-authoring research before graduation This structure recognizes that modern applied mathematics innovation occurs at disciplinary intersections, not within isolated silos.

Upcoming SCU Engineering Events

We will be back Soon with Upcoming Events

On Demand Events

img-blur-shadow

Augmented Reality for Cultural Heritage: The Ohlone AR Tour at Santa Clara University

Bridging History, Technology, and Career Paths: An Immersive Exploration of Ohlone Culture and Alumni Insights on Navigating the U.S. Job Market""
Register to access the video

Connect with SCU Engineering's Faculty in one click ...

Curious About Who Will Be Teaching You?

Explore other SCU Engineering programs

Master of Science in Aerospace Engineering (MSAE)

Duration
24 MONTHS

Master of Science in Bioengineering

Duration
24 MONTHS

Master of Science in Civil Engineering

Duration
24 MONTHS

Master of Science in Computer Science and Engineering

Duration
24 MONTHS

Master of Science in Electrical and Computer Engineering

Duration
24 MONTHS

Master of Science in Engineering Management and Leadership

Duration
24 MONTHS

Master of Science in Mechanical Engineering

Duration
24 MONTHS

Master of Science in Power Systems and Sustainable Energy

Duration
24 MONTHS

Master of Science in Robotics and Automation

Duration
24 MONTHS
View All

Frequently Asked Questions

Get all your questions answered about Master of Science in Applied Mathematics by SCU Engineering

Santa Clara University’s Applied Mathematics program offers advanced coursework in areas like numerical analysis, differential equations, mathematical modeling, data science, and computational mathematics, with applications in engineering, finance, and tech.
Applicants should have a strong foundation in mathematics or a related field, demonstrated through a relevant undergraduate degree. Transcripts, letters of recommendation, a personal statement, and occasionally GRE scores are required.
Students gain practical experience through research projects, interdisciplinary collaboration, and computational lab work, often solving real-world problems sourced from Silicon Valley industries.
Graduates commonly pursue roles as data analysts, quantitative researchers, operations research analysts, or mathematical consultants in industries such as finance, tech, healthcare, and academia.
Yes, the MS in Applied Mathematics is STEM-designated, making international students eligible for an additional 24-month OPT extension after completing their degree.

Contact us

For any queries, please feel free to reach out to us!

email
Email

admission@scu.edu

call
Phone

+408-554-4600