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.

Program Highlights

You can pursue an MS in Statistical Sciences in conjunction with another degree program at CGU, such as a Doctorate of Public Health. You receive a diploma for each degree, “double count” some units from one program to the other, and decrease your required total units.

You may also participate in several professional societies:

Background: This master’s degree program serves students who are interested in statistics and data sciences. Admission to the program requires a BA/BS in math or statistics; students from other disciplines could be admitted provided they 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).

Degree Requirements: A minimum of 32 units of graduate coursework is required, including four core courses (16 units) and two restricted electives (8 units), as outlined below. 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, i.e., 300-level and above. A grade of B- or above must be earned in gamma courses.

Satisfactory Academic Progress: The university’s policy applies. Students who do not maintain a minimum overall grade point average of 3.0 in Mathematics courses are placed on academic probation. Students who remain on academic probation after taking an additional 8 units of Mathematics courses may be excluded from the program.

Program at a Glance

UNITS
32 units

COMPLETION TIME
2 years

TUITION
Cost Per Unit 2017–2018: $1,902

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

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

Learn More

Claremont Center for the Mathematical Sciences
Through CCMS, you’ll have access to one of the largest mathematical science communities in California as well as to workshops, conferences, colloquia, 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


Field Experience
You’ll find opportunities to gain field experience through clinics and internships in a variety of industry, business, and government settings, including NASA’s Jet Propulsion Laboratory and Boeing Company.

Faculty & Research

  • John Angus profile image

    John Angus

    Professor of Mathematics
    Director, Institute of Mathematical Sciences

    Research Interests

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

  • Marina Chugunova profile image

    Marina Chugunova

    Associate Professor of Mathematics
    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

  • Ali Nadim profile image

    Ali Nadim

    Professor of Mathematics
    Joseph H. Pengilly Chair in Mathematics

    Research Interests

    Fluid Dynamics, Mathematical Modeling, Scientific Computing

  • 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

  • Hrushikesh Mhaskar profile image

    Hrushikesh Mhaskar

    Research Professor of Mathematics

    Research Interests

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

  • Henry Schellhorn profile image

    Henry Schellhorn

    Associate Professor of Mathematics
    Academic Director, Financial Engineering Program

    Research Interests

    Financial engineering, Credit risk, Interest rate models

  • 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

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