In an increasingly data-driven world, the MS in Statistical Sciences prepares you for a range of career possibilities in the statistical/data sciences and helps you stand out in the marketplace.

The need for professionals trained in the mathematical techniques of data science is greater than ever. In this program, you’ll work closely with faculty who have extensive backgrounds in applied mathematics, data science/analytics, computational science, statistics, industrial modeling, and much more. In lieu of one formal course, students may conduct a semester’s worth of independent study with a research advisor that leads to publication of a quality technical report in an area of statistical/data sciences.

Admission to the program requires a BA/BS in math or statistics; if you have an undergraduate degree in a different discipline, you may be admitted if you have adequate undergraduate training in mathematics (multivariate calculus, linear algebra), computing (including familiarity with one or more programming languages, e.g., R, MATLAB, Python) and upper division probability and statistics (i.e., equivalent to math 151/152 at the Claremont Colleges).

Program at a Glance

UNITS
32 units

COMPLETION TIME
2 years

COURSES BEGIN
Fall | Spring

DEGREE AWARDED
MS in Statistical Sciences

Featured Courses

MATH 351
Time Series Analysis

Undertakes an analysis of time series data by means of such particular models as ARIMA, spectral analysis, and associated methods of inference and applications.

MATH 352
Nonparametric & Computational Statistics

Analyzes the treatment of statistical questions that do not depend on specific parametric models.

MATH 353
Asymptotic Methods in Statistics With Applications

Examines modes of convergence for random variables and their distributions, central limit theorems, laws of large numbers, statistical large sample theory of functions of sample moments, and more.

MATH 355
Linear Statistical Models

Discusses linear statistical models in full and less-than-full rank cases, the Gauss-Markov theorem, and applications to regression analysis, analysis of variance, and analysis of covariance.

MATH 256
Stochastic Processes

Analyzes properties of independent and dependent random variables and examines conditional expectation among topics chosen from Markov processes and others.

MATH 354
Reliability Theory

Studies structural properties and reliability of complex systems, classes of life distributions based on aging, maintenance and replacement models, availability, reliability, and more.

View All Mathematics Courses

Curriculum

Degree Requirements
A minimum of eight courses (32 units) of graduate math coursework is required, at least five of which (20 units) must be at the 300-level or higher.

Students who lack the prerequisite undergraduate coursework may be asked to complete more than 32 units. At least 20 units of coursework must be gamma courses (300-level and above). A grade of B- or above must be earned in gamma courses.

Students in the master’s program in mathematics, computational and applied mathematics, and statistical sciences may convert one 200-level (beta) course to gamma credit. At the discretion of the IMS Director, in consultation with the student’s academic advisor, more than one conversion may be approved in exceptional cases.

Core Courses (Four courses – 16 units)

  • Time Series Analysis, or Financial Time Series
  • Nonparametric and Computational Statistics
  • Asymptotic Methods in Statistics with Applications
  • Linear Statistical Models

Restricted Electives (Two electives – 8 units)

  • Stochastic Processes
  • Reliability Theory
  • Mathematical Finance
  • Simulation
  • Optimization
  • Computational Methods for Molecular Biology
  • Data Mining
  • Discrete Mathematical Modeling
  • Mathematics Clinic
  • Statistical Mechanics and Lattice Models
  • Large-scale Inference
  • Statistical Learning
  • Bayesian Inference and Machine Learning
  • Mathematical Foundations of Data-Intensive Algorithms
  • Advanced Topics in Mathematics (if appropriate, with advisor’s approval)

Independent Study
In lieu of one formal course, the student may take Math 398 Independent Study with a research advisor leading to a publication quality technical report in an area of computational or applied math.

Additional course option
In lieu of one of the math courses, the student may also choose one graduate course from within other departments at CGU or at KGI in which statistics is extensively applied. The fields may include Economics, Finance, Community and Global Health, Information Science and Technology, Evaluation, Education, Psychology, etc. Typical courses include Biostatistics, Data Science/Analytics, Research Methods, Computational Biology, among others. Substitution of such a course for a math course requires the approval of the academic advisor and the instructor of the course.

Accelerated Degree Option

If you are an undergraduate student at the Claremont Colleges*, you can obtain a graduate degree on an accelerated track. Undergraduate students can begin working toward the master’s requirements simultaneously with the completion of their undergraduate degrees.

You can earn a Master’s Degree in Mathematics, Computational & Applied Mathematics, or Statistical Sciences from Claremont Graduate University with just one additional year. Up to 16 units of undergraduate credit may be accepted towards your graduate degree. Financial aid is available for your graduate year at CGU.

*The accelerated degree option is only open to undergraduate students at Pomona, Scripps, Claremont McKenna, Harvey Mudd, and Pitzer.

Consider this opportunity if:

  • Your longer-term plans include a PhD in a math-related field (e.g. physics, engineering, computer science)
  • You are seeking a teaching career in math or science
  • You would like to get involved in ongoing research with CGU Math faculty during your senior year
  • You would like to earn your Master’s degree in half the usual time

Resources

Engineering & Industrial Applied Mathematics Clinic
CGU’s internationally recognized Engineering & Industrial Applied Mathematics Clinic offers first-hand experience solving significant mathematical problems for industry and government clients.

Recent projects include:

  • Optimizing Transmission of Renewable Energy–Southern California Edison
  • Hardware-Software Codesign–Los Alamos National Laboratory
  • Data Cohort Analysis–Fair Isaac
  • Optimizing Smart Power Grids–Los Alamos National Laboratory
  • Credit Risk in a Network Economy–Fitch Rating
  • Isogeometric Analysis–Boeing
  • Gate to Base Capacitance Modeling for Nanoscale MOSFETs–USC Information Sciences Institute
  • Practical Semi-Analytic Model for the Substrate Current of Short Channel MOSFETs with LDDs–USC Information Sciences Institute

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Claremont Center for the Mathematical Sciences
Through the Claremont Center for the Mathematical Sciences (CCMS), you’ll have access to one of the largest mathematical science communities in California, as well as to workshops, conferences, and seminars, including:

  • Southern California Analysis Seminar
  • Math-in-Industry Workshop
  • Michael E. Moody Lecture Series
  • History and Philosophy of Mathematics Seminar
  • Claremont Mathematics Weekend
  • CCMS Software Lab
  • and more

Learn More

Faculty & Research
  • John Angus profile image

    John Angus

    Professor of Mathematics

    Research Interests

    Probability, Statistics, Computing, Algorithms, Navigation, Systems Engineering, Mathematical Finance

  • Marina Chugunova profile image

    Marina Chugunova

    Associate Professor of Mathematics
    Director, Institute of Mathematical Sciences
    Program Director, PhD in Engineering & Industrial Applied Mathematics

    Research Interests

    Surfactant-driven thin film flows in biomedical applications; Nonlinear parabolic equations; Stability problems in fluid dynamics; Scientific computations; Applied operator theory; Sturm-Liouville problems

  • Ellis Cumberbatch profile image

    Ellis Cumberbatch

    Professor of Mathematics Emeritus

    Research Interests

    Applied mathematics, Industrial modeling, Differential equations, Fluid mechanics, Wave propagation, Semi-conductors

  • Hrushikesh Mhaskar profile image

    Hrushikesh Mhaskar

    Research Professor of Mathematics

    Research Interests

    Approximation theory, Computational harmonic analysis, Mathematics of data, Query processing

  • Ali Nadim profile image

    Ali Nadim

    Professor of Mathematics
    Joseph H. Pengilly Chair in Mathematics

    Research Interests

    Fluid Dynamics, Mathematical Modeling, Scientific Computing

  • Andrew Nguyen profile image

    Andrew Nguyen

    Adjunct Professor of Mathematics

    Research Interests

    Stochastic processes, Statistics, Risk management, Financial derivatives, Actuarial sciences, Statistical software

  • Qidi Peng profile image

    Qidi Peng

    Research Assistant Professor of Mathematics

    Research Interests

    Statistical inferences, Stochastic differential equations, Stochastic modeling, Simulation, Machine learning, Approximation theory, Graph theory

  • Allon Percus profile image

    Allon Percus

    Professor of Mathematics

    Research Interests

    Discrete optimization; Network models; Statistical physics; Random combinatorial structures

  • Claudia Rangel-Escareño profile image

    Claudia Rangel-Escareño

    Adjunct Professor of Mathematics

    Research Interests

    Probabilistic methods in computational biology, Statistical inference of genetic networks, Bioinformatics

  • Henry Schellhorn profile image

    Henry Schellhorn

    Associate Professor of Mathematics
    Academic Director, Financial Engineering Program

    Research Interests

    Financial engineering, Credit risk, Interest rate models

Extended Faculty

In addition to CGU core faculty, you will have access to Math faculty across the Claremont Colleges, including Pomona, Scripps, Harvey Mudd, Claremont McKenna, Pitzer, and Keck Graduate Institute, as well as faculty who are part of the W.M. Keck integrated science department.

View Full Faculty List

Harvey Mudd
View Math Faculty

Pomona
View Math Faculty

Claremont McKenna
View Math Faculty

Scripps
View Math Faculty

Pitzer
David Bachman
Jim Hoste

W.M. Keck Integrated Science Department
(Claremont McKenna, Pitzer, Scripps)
Adam Landsberg
John Milton

Keck Graduate Institute
Animesh Ray
James Sterling

Where You Can Find Our Alumni

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Jake Campbell

Senior Assistant Director of Admissions and Veteran Outreach
T: 909-607-3024 (Direct)
T: 909-607-7811 (Central Admissions)
E: jake.campbell@cgu.edu