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Mathematics and Statistics Department

MS - Statistics

This degree is recommended for students interested in a career as a statistician or in a variety of careers in business, government and industry that require the use and understanding of statistical methods. Such positions typically require a master's degree. The MS in Statistics will prepare students in the use of statistical techniques for data analysis and decision making in their chosen fields. Candidates for the program should have obtained a bachelor's degree and have an adequate mathematical and statistical background.

Requirements for Admission to Classified Standing

To enter this program with classified standing, an applicant must meet the minimum requirements for admission to the Graduate Division; have completed a calculus series through multiple integration and partial differentiation (as might be completed at SJSU through having taken MATH 30, 31 and 32); have completed a course in linear algebra equivalent to MATH 129A at SJSU; and have completed a course in introductory calculus-based probability and statistics equivalent to MATH 161A at SJSU. The applicant must have achieved at least a grade of B in each of these courses. This coursework may not be counted toward the MS degree. The applicant must have two letters of recommendation submitted on his or her behalf directly to the Statistics Coordinator, Mathematics and Statistics Department. For general information on graduate admission and requirements at SJSU please see www.sjsu.edu/gape.

Requirements for Admission to Conditionally Classified Standing

An applicant who meets the minimum requirements for admission to the Graduate Division but does not satisfy the mathematics and statistics coursework requirements stated above may be admitted as Conditionally Classified. After arrival at SJSU, the student must complete additional coursework to make up the deficiency in order to obtain classified status. The units earned from this additional coursework may not be counted towards the total number of units required for the MS degree.

Requirements for Admission to Candidacy for the MS - Statistics

To be admitted to candidacy for the MS degree:

1. A student must meet the all-university-candidacy requirements as stated in this catalog. The University requires that all graduate students complete the Graduation Writing Assessment Requirement (GWAR) as a condition for advancement to candidacy. Please refer to the SJSU catalog section titled "Graduation Writing Assessment Requirement" for details. For graduate courses that meet the GWAR, please refer to the Graduate Admissions and Program Evaluations website at www.sjsu.edu/gape.

2. Complete MATH 163 and 164, each with a grade of at least B.

3. Complete at least 18 units towards the degree with at least a 3.0 average.

4. Complete the Request for Candidacy and Graduate Degree Program form for the Master of Science degree. This form lists, among other things, all the coursework to be counted toward the master's degree. After the form has been signed by the Graduate Coordinator, it is forwarded to the Associate Dean for Graduate Studies for final approval. Any subsequent changes to the student's program require approval from Graduate Studies.

Completing Requirements for the MS - Statistics

All electives must be pre-approved by the Statistics Coordinator on an individual basis. A list of potential elective courses is published by the department. The elective units may include a maximum of 3 units of MATH 180 and a maximum of three units of MATH 203 or MATH 298 beyond those required for the degree. The electives should form a coherent set of courses associated with the student's career goals.

At least 50% of all course work counted towards the degree must be numbered 200 or higher


Course Requirements

Graduation Writing Assessment Requirement
At SJSU, students must pass the Graduation Writing Assessment Requirement (GWAR). For information on the GWAR, please see http://info.sjsu.edu/gcw.html.
Requirements of the Masters36
Required Courses21
MATH 163. Probability Theory3
MATH 164. Mathematical Statistics3
MATH 167. Programming in SAS3
MATH 261A. Regression Theory and Methods3
MATH 261B. Design and Analysis of Experiments3
MATH 267A. Statistical Programming with R3
Complete one course from:
MATH 203. Applied Mathematics, Computation, and Statistics Projects3
MATH 298. Special Study3
MATH 288I. Internships3
Electives12
Please consult major advisor for details.
Culminating Experience3
MATH 269. Statistical Consulting3

Total Units:36