Santa Clara University - School of Engineering
Master of Science in Applied Mathematics
Santa Clara, USA
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Jan 2027
TUITION FEES
USD 1,254 / per credit
STUDY FORMAT
On-Campus
Key Summary
About: This Master of Science in Applied Mathematics at Santa Clara University (SCU) accepts students with a BS in engineering, science, or mathematics who’ve completed an undergraduate mathematics sequence comparable to SCU’s major: calculus and differential equations, abstract algebra, linear algebra, advanced calculus/real analysis, plus at least five upper-division courses in analysis, complex variables, PDEs, numerical analysis, logic, probability, or statistics. The programme links applied mathematics, computational methods, faculty mentorship, hands-on research, and Silicon Valley industry access.
Career Outcomes: Graduates enter industry or academia; roles include data scientist, quantitative analyst, research engineer, machine learning engineer, in tech, finance, research labs.
This program is open to those students who have earned a B.S. degree in engineering, science, or mathematics, provided that the student has completed a program in undergraduate mathematics that parallels the program of the mathematics major at Santa Clara University. The undergraduate program at Santa Clara includes calculus and differential equations, abstract algebra, linear algebra, advanced calculus and/or real analysis; and a minimum of five upper-division courses chosen from the areas of analysis, complex variables, partial differential equations, numerical analysis, logic, probability, and statistics.
- AMTH 200 : Advanced Engineering Mathematics I
- AMTH 201 : Advanced Engineering Mathematics II
- AMTH 202 : Advanced Engineering Mathematics I and II
- AMTH 210 : Probability I
- AMTH 211 : Probability II
- AMTH 212 : Probability I and II
- AMTH 213 : App Math for Reliability
- AMTH 214 : Engineering Statistics I
- AMTH 215 : Engineering Statistics II
- AMTH 216 : Prdct Reliab Model
- AMTH 217 : Design of Sci Exper
- AMTH 219 : Analysis of Scientific Exper
- AMTH 220 : Numerical Analysis I
- AMTH 221 : Numerical Analysis II
- AMTH 222 : Design and Analysis Scientific Exper
- AMTH 225 : Vector Analysis I
- AMTH 226 : Vector Analysis II
- AMTH 230 : Applied Math I
- AMTH 231 : Applied Math II
- AMTH 232 : Biostatistics
- AMTH 232L : Biostatistics Labatory
- AMTH 235 : Complex Variables I
- AMTH 236 : Complex Variables II
- AMTH 240 : Discrete Mathematics for Computer Science
- AMTH 241 : Modern Algebra I
- AMTH 242 : Modern Algebra II
- AMTH 245 : Linear Algebra I
- AMTH 246 : Linear Algebra II
- AMTH 247 : Linear Algebra I and II
- AMTH 250 : Fundamental Mathematics for Artificial Intelligence
- AMTH 252 : Bayesian Statistics
- AMTH 256 : Applied Graph Theory I
- AMTH 257 : Applied Graph Theory II
- AMTH 258 : Elementary Graph Theory I&II
- AMTH 260 : Jewels of Modern Math
- AMTH 280 : Combinatrl Math I
- AMTH 281 : Combinatrl Math II
- AMTH 285 : Compression Theory
- AMTH 288I : Graduate Co-Op Ed I
- AMTH 288 : Graduate Coop Ed I
- AMTH 297 : Directed Research
- AMTH 298 : Independent Studies
- AMTH 299 : Special Problems
- AMTH 305 : Adv Num Analysis I
- AMTH 306 : Adv Num Analysis II
- AMTH 308 : Theory of Wavelets
- AMTH 309 : Mathmodeling II
- AMTH 312 : Non-Parametric Statistic
- AMTH 313 : Time Series Analysis
- AMTH 315 : Matrix Theory I
- AMTH 316 : Matrix Theory II
- AMTH 318 : Adv Topics in Wavelets
- AMTH 330 : Adv Applied Math I
- AMTH 331 : Adv Applied Math II
- AMTH 332 : Difference Equations
- AMTH 334 : Numeric Algor App I
- AMTH 335 : Numeric Algor App II
- AMTH 340 : Linear Programming I
- AMTH 341 : Linear Programming II
- AMTH 342 : Linear Programming
- AMTH 344 : Linear Regression
- AMTH 346 : Graph Theory I
- AMTH 347 : Graph Theory II
- AMTH 351 : Quantum Computing
- AMTH 358 : Fourier Transforms
- AMTH 360 : Advanced Topics Fourier Analysis
- AMTH 362 : Stochastic Processes I
- AMTH 363 : Stochastic Proc II
- AMTH 364 : Markov Chains
- AMTH 365 : Real Analysis I
- AMTH 366 : Real Analysis II
- AMTH 367 : Mathematical Finance
- AMTH 370 : Optimization Techniques I
- AMTH 371 : Optimization Technique II
- AMTH 372 : Semi-Markov & Decision Process
- AMTH 374 : Partial Different Equations I
- AMTH 375 : Partial Differential Equations II
- AMTH 376 : Num Solns of Part Diff Eqns
- AMTH 377 : Design and Analysis of Algorithms
- AMTH 379 : Advanced Design and Analysis of Algorithms
- AMTH 380 : Queuing Systems I
- AMTH 381 : Queuing Systems II
- AMTH 385 : Cryptology
- AMTH 386 : Cryptology II
- AMTH 387 : Cryptology
- AMTH 388 : Advanced Topics in Cryptology
- AMTH 395 : Math Sem for Engineering Res
- AMTH 397 : Master's Thesis
- AMTH 399 : Independent Study
- AMTH 400 : Topics in Applied Mathematics
Our Goal for Student Learning
Undergraduate and graduate engineering students learn some topics in mathematics and some applications appropriate to their field of study.
Our Objective
Students apply mathematics in an engineering context.
Eligible students may qualify for one of our generous merit-based scholarships that range from $2,500 - $15,000 in recognition of their strong academic achievement or professional experience in industry. These special, one-time awards are designed to help students with their investment in graduate school, allowing their education to be more accessible and focused on their professional growth. Reach out to our team for all scholarship questions.