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Statistical Science Contiguous Bachelor's Master's Pathway

Information and Policies

Introduction

The Department of Statistics offers a Statistical Science Bachelor’s/Master's pathway. Undergraduate students in certain majors can apply to the pathway in order to earn a B.S. degree in their own major together with an M.S. degree in Statistical Science. Approved programs are:

  • B.S. in Applied Physics, Astrophysics, or Physics
  • B.S. in Computer Science
  • B.S. in Economics/Mathematics
  • B.A. in Mathematics (Pure Math and Computational)

Sample planners for the pathway are available through the Baskin Engineering Graduate Affairs Office website. Qualified undergraduates from other undergraduate majors may also apply to the pathway and their applications will be considered on a case by case basis.

Depending on the student’s progress, the B.S./M.S. pathway can be completed in five years.

Admission Requirements and Process

The requirements for admission into the 4+1 pathway are: (1) a cumulative GPA of 3.0 or more; (2) to have taken, or to have a plan to take, foundational coursework in univariate and multivariate calculus, linear algebra, introductory statistics, and programming; and (3) to have completed both STAT 131 and STAT 132 with an A- or above. (Please see Course Requirements section below for details.)

Interested students should schedule a meeting with the STAT graduate director to discuss their curriculum plan and fill the application form. The ultimate deadline for application to the pathway is the end of their junior year (ninth quarter of study at UC Santa Cruz), although students are encouraged to apply significantly earlier, ideally at the same time as their major declaration.

All students who apply to the pathway will be admitted into it, provided they satisfy the requirements. However, approval of an undergraduate student into a five-year bachelor’s/master’s path does not automatically guarantee admission into the one-year master’s program.

Students apply for admission into the M.S. program during their senior year using the same procedure and timeline as all other applicants to the program, and they will be considered for the M.S. program along with regular applicants. The pathway assists qualified enrolled students with a simplified graduate application process that does not require students to submit Graduate Record Examination (GRE) scores. This will be made clear to students admitted into the pathway, as early as possible.

Course Requirements

Students pursuing the contiguous pathway are expected to have a strong quantitative background. At the time they apply to the pathways they will be expected to have completed the following coursework:

Basic Requirements

To be admitted into the contiguous pathway, students must have completed this series of courses with an average GPA of 3.0 or above.

Univariate Calculus

Either both MATH 19A and MATH 19B, or both MATH 20A and MATH 20B.

MATH 19ACalculus for Science, Engineering, and Mathematics

5

MATH 19BCalculus for Science, Engineering, and Mathematics

5

MATH 20AHonors Calculus

5

MATH 20BHonors Calculus

5

Multivariate Calculus

MATH 22Introduction to Calculus of Several Variables

5

or this course

AM 30Multivariate Calculus for Engineers

5

or these courses

MATH 23AVector Calculus

5

AND

MATH 23BVector Calculus

5

Linear Algebra

AM 10Mathematical Methods for Engineers I

5

OR

MATH 21Linear Algebra

5

OR

PHYS 116AMathematical Methods in Physics

5

Introductory Statistics

STAT 5Statistics

5

OR

STAT 7Statistical Methods for the Biological, Environmental, and Health Sciences

5

OR

STAT 17Statistical Methods for Business and Economics

5

OR

PHYS 133Intermediate Laboratory

5

Programming

CSE 20Beginning Programming in Python

5

or higher level programming course; or equivalent

Advanced Requirements

During their junior year (or before, if appropriate), students in the pathway will be expected to take two courses:

STAT 131Introduction to Probability Theory

5

STAT 132Classical and Bayesian Inference

5

Students must obtain a grade no lower than A- in both courses to remain eligible for the pathway. A grade of A- or higher in STAT 131 will waive the M.S. requirement of taking STAT 203, Introduction to Probability Theory. Instead of STAT 203, students in the pathway will need to take an additional elective course to satisfy the credit requirements for the M.S. program (see sample plan below).

Students who pass STAT 131 and STAT 132 with a grade of C or higher but lower than A-, although not eligible to continue in the contiguous pathway to the M.S., will still have the opportunity to complete a minor in statistics or to apply to the M.S. through the regular admission process.

Senior Year Requirements

Students apply for admission into the M.S. program during their senior year using the same procedure and timeline as all other applicants to the program. In addition, during the senior year, students in the pathway will be required to take two graduate-level courses:

STAT 204Introduction to Statistical Data Analysis

5

STAT 206BIntermediate Bayesian Inference

5

Note that the two courses satisfy requirements for the Statistical Science M.S. program and therefore cannot be counted as part of the minimum 40 credits of upper-division courses required by the undergraduate major.

Students who are accepted into the M.S. program but fail any of the two senior-year graduate courses will revert to the regular two-year M.S. timeline and will be allowed to retake them

M.S. Year Course Requirements

Students will complete the remaining required courses (STAT 200, STAT 280B, STAT 205 and STAT 208) and electives (four, one of them in lieu of STAT 203) for the M.S. program, as well as their capstone project, during their fifth year in the program. At least two of the four electives must be chosen from List A (courses offered by the Statistics Department).

A student enrolled in the 4+1 contiguous program will complete a total of 45 credits in classroom courses, just like students in the standard M.S. program, with 15 of those credits having been completed as part of their undergraduate degree.

If for any reason a student cannot complete the M.S. requirements during their fifth year, they will revert to the standard M.S. timeline.

Core Courses

STAT 200Research and Teaching in Statistics

3

STAT 205Introduction to Classical Statistical Learning

5

STAT 208Linear Statistical Models

5

STAT 280BSeminars in Statistics

2

STAT 205 and STAT 208 must be taken for a letter grade.

List A Electives

Electives offered by the Statistics Department and open to M.S. students.

STAT 207Intermediate Bayesian Statistical Modeling

5

STAT 209Generalized Linear Models

5

STAT 221Statistical Machine Learning

5

STAT 222Bayesian Nonparametric Methods

5

STAT 223Time Series Analysis

5

STAT 224Bayesian Survival Analysis and Clinical Design

5

STAT 225Multivariate Statistical Methods

5

STAT 226Spatial Statistics

5

STAT 227Statistical Learning and High Dimensional Data Analysis

5

STAT 229Advanced Bayesian Computation

5

STAT 243Stochastic Processes

5

STAT 244Bayesian Decision Theory

5

STAT 246Probability Theory with Markov Chains

5

List B Electives

Electives offered outside the Statistics Department and open to STAT M.S. students.

AM 212AApplied Partial Differential Equations

5

AM 216Stochastic Differential Equations

5

AM 230Numerical Optimization

5

AM 250An Introduction to High Performance Computing

5

CSE 242Machine Learning

5

CSE 243Data Mining

5

CSE 249Large-Scale Web Analytics and Machine Learning

5

CSE 261Advanced Visualization

5

CSE 263Data Driven Discovery and Visualization

5

CSE 272Information Retrieval

5

CSE 277Random Process Models in Engineering

5

ECE 253
/CSE 208
Introduction to Information Theory

5

ECE 256Statistical Signal Processing

5

ECON 211AAdvanced Econometrics I

5

ECON 211BAdvanced Econometrics II

5

ENVS 215A
/GIST 215A
Geographic Information Systems and Environmental Applications

5

ENVS 215L
/GIST 215L
Exercises in Geographic Information Systems

2

ENVS 215L is the concurrent lab to ENVS 215A. The lecture/lab combination counts as one course.

Capstone Requirement

This is a Plan II Capstone. For the M.S. degree, students conduct an individual capstone research project (up to three quarters) and in the spring participate in a seminar in which results from their project are presented. Examples of capstone research projects include: review and synthesis of the literature on a topical area of statistical science, application and comparison of different models and/or computational techniques from a particular area of study in statistics, and comprehensive analysis of a data set from a particular application area.

Students must submit a proposal to the potential faculty sponsor no later than the end of their first academic quarter. If the proposal is accepted, the faculty member becomes the sponsor and supervises the research and writing of the project. When the project is completed and written, it must be submitted to and accepted by a committee of two individuals, consisting of the faculty advisor and one additional reader. The additional reader will be chosen appropriately from within the graduate program faculty or outside of it. Either the advisor or the additional reader must be from within the graduate program faculty.

Planner

STAT 131 and STAT 132 are requirements to qualify for the program, but do not satisfy any M.S. requirement (except, in the case of STAT 131, waiving the requirement of taking STAT 203). An M.S. elective is required in lieu of STAT 203.

Sample Planner for Bachelor's/Master's Pathway

Fall Winter Spring
Junior
Year
STAT 131 STAT 132
Senior
Year
STAT 204 STAT 206B STAT 207
M.S. Year STAT 200
(3 credits)
STAT 205 STAT 208
M.S. elective M.S. elective STAT 296
(10 credits)
M.S. elective STAT 296
STAT 280B
(2 credits)