REQUEST TO ADD AN UNDERGRADUATE ACADEMIC CERTIFICATE PROGRAM AND/OR REQUEST FOR RECOGNITION ON THE UNIVERSITY TRANSCRIPTS

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1 REQUEST TO ADD AN UNDERGRADUATE ACADEMIC CERTIFICATE PROGRAM AND/OR REQUEST FOR RECOGNITION ON THE UNIVERSITY TRANSCRIPTS SSC - 1 If the administrative unit requesting to recognize the certificate on the transcript, please see the Minimum Criteria for Certificate Recognition on the Transcript section. The criteria in that section must be incorporated into the catalog language and included in the proposal. 1. Type of Proposal X New Program Change to an existing program Deletion of a program 2. Official Certificate Name: Undergraduate Certificate: Applied Statistical Modeling 3. Proposed Implementation date: 1 Fall Administrative Unit Awarding the Certificate: Division of Statistics & Scientific Computation a. CIP Code (office use only): 5. Statement of Objective (Include pages in Undergraduate Catalog where changes will be made): [ch. 12, p. 514] The Certificate in Applied Statistical Modeling equips undergraduate students with the tools necessary to understand how to apply statistics to their primary field of study. This certificate program is designed to complement diverse degree programs and to appeal to students across the in engineering, science, economics, mathematics, and many other disciplines. Certificate students will fulfill a two-course sequence on statistical modeling (SSC 352 or SSC 325H, and SSC 353), a twocourse sequence on probability and inference (SSC 321, M 362K or EE 351K, and SSC 323 or M 378K), and complete two elective courses (six hours) in statistics, machine learning, econometrics, etc. from the approved elective list. Three elective hours must be upper-division, and only one introductory statistics course (e.g. SSC or SSC 328M, STA 309, etc.) may count towards the elective requirement. M 408D or M 408M is a prerequisite for the program. 6. Number of students expected to receive the certificate each semester: 15 students are expected to earn the certificate each semester 7. Number of hours required for completion (Please note if there is a minimum or maximum number of hours): 18 hours minimum 8. List faculty who are on the certificate program faculty committee 2. Note with an asterisk those faculty who are tenured or tenure track. Please also note the program chair, who will be responsible for 1 Certificates will not appear on the transcripts until Fall For inclusion on transcripts, the faculty committee must have a minimum of five members and at least 2/3 of the committee must be tenured or tenure-track.

2 authorizing the students certificates. Specify changes to the committee membership by noting those no longer on the committee and those added to the committee. (Add and delete rows as needed.) SSC - 2 Name of Faculty Member College/Department Title at UT Austin Highest Degree and Awarding Institution *James G. Scott McCombs/IROM Assistant Professor Ph.D., Duke (program cochair) *Carlos McCombs/IROM Assistant Professor Ph.D., Duke Carvalho (program cochair) *Michael Daneils CNS/SSC/Section of Integrative Biology Professor Sc.D., Harvard * Lauren Meyers CNS/SSC/Section of Integrative Biology Professor Ph.D. Stanford *Peter Müeller CNS/Mathematics Professor Ph.D., Purdue *Jonathan Pillow COLA/Psychology Assistant Professor Ph.D., New York *Pradeep Ravikumar CNS/Computer Science Assistant Professor Ph.D. Carnegie Mellon *Tom Sager McCombs/IROM Professor Ph.D., of Iowa *Tom Shively McCombs/IROM Professor Ph.D., of Chicago 9. Academic course requirements: Use this table to identify the courses that qualify for this certificate program. 3 Note with an asterisk (*) courses that would be added if the certificate program is approved. Specify changes to the qualifying courses by noting those no longer qualifying and those now qualifying. (Add and delete rows as needed.) Course Abbreviation and Number M 362K or SSC 321 or EE 351K Course Title Probability I Introduction to Probability and Statistics Probability and Random Processes SCH Cockrell School of Engineering *SSC 323 or M 378K Statistical Learning and Inference Introduction to Mathematical Statistics SSC 352 or Statistical Methods (Statistical Modeling) SSC 325H or Honors Statistics equivalent *SSC 353 Advanced Multivariate Modeling (2) Electives See Appendix A for list of approved electives varies 10. Other certificate requirements: Students must receive a C or better in each course applied to the certificate. 11. Give a detailed rationale for change(s): 3 If the course numbers and titles change on a regular basis, please indicate the types of courses and number of hours for required for each.

3 The rationale for creating the Undergraduate Certificate in Applied Statistical Modeling is to provide undergraduate students at The of Texas at Austin the opportunity to develop expertise in applied statistical methods. There is career-driven student demand for more intensive data modeling skills that students' majors currently do not provide. This demand can be satisfied by a certificate program that is less intensive than a master s degree. The certificate curriculum can be accommodated within a student's regular undergraduate program, or in at most, one additional semester beyond the baccalaureate. Additionally, a certificate program will standardize the quality of this additional training while offering official recognition of student achievement of data modeling skills. SSC - 3 The Division of Statistics and Scientific Computation (SSC) acts as a central hub, working with faculty throughout campus with the intent to foster faculty collaboration and afford undergraduates in a variety of disciplines the invaluable training in the development and application of statistical methods. No other UT academic unit has the requisitely skilled faculty of interdisciplinary breadth and relevant experience. The SSC has the requisite faculty with the skills to teach the certificate curriculum plus experience teaching the undergraduate students who would most likely take certificate courses. Also, the SSC has the interdisciplinary breadth of faculty for the various academic areas from which certificate students are most likely to come. COLLEGE/SCHOOL APPROVAL PROCESS: Approver: Lauren Meyers Date: May 1, 2012 Title: Director Approver: Title: Date: Minimum Criteria for Certificate Recognition on the Transcript 1. The transcript-recognized undergraduate academic certificate program must be completed in conjunction with or within on year of completion of an undergraduate degree at The of Texas at Austin; students pursuing an integrated undergraduate/graduate program must complete the requirements for the certificate within one year after completing the undergraduate requirements of their program. A maximum of nine credit hours in the certificate program may be taken after completion of the undergraduate degree. 2. Transcript-recognized undergraduate academic certificate programs must require a minimum of 18 hours of certificate course work but not more than 24 hours. 3. At least half of the required course work in the certificate program must be completed in residence at The of Texas at Austin. 4. A student may not earn a certificate in the same field of study as his or her major, and at least one course required in the certificate program must be outside the requirements of the major. However, courses in the certificate program outside the major may fulfill other degree requirements such as general education requirements or required elective hours. 5. Students apply for transcript recognized undergraduate academic certificates at the time they complete their undergraduate degree or the certificate program, whichever comes later. Transcript recognition is awarded at that time. Please include a draft of the catalog copy on an attached page. If this is an update of existing copy, the draft should be based on the text of the current catalog available at: Strike through and replace only the specific language to be changed. Submit form electronically to Office of the General Faculty and Faculty Council- fc@austin.utexas.edu. For questions on completing this section, please contact Anita Ahmadi, fc@austin.utexas.edu, or Brenda Schumann, brenda.schumann@austin.utexas.edu,

4 SSC - 4 TRANSCRIPT-RECOGNIZED CERTIFICATE PROGRAMS Undergraduate certificate programs encourage students to explore academic areas that support and extend their degree plans. The following certificates require at least eighteen semester hours of coursework, some of which may also be used to fulfill degree requirements. Undergraduates who complete the certificate requirements in conjunction with their degree requirements or within one year after earning the degree will receive a certificate and recognition on their transcript. A maximum of nine hours in the certificate program may be taken after completion of the undergraduate degree. At least half of the required coursework in the certificate program must be completed in residence at the. UNDERGRADUATE CERTIFICATE: APPLIED STATISTICAL MODELING The Certificate in Applied Statistical Modeling equips undergraduate students with the tools necessary to understand how to apply statistics to their primary field of study. This certificate program is designed to complement diverse degree programs and to appeal to students across the in engineering, science, economics, mathematics, and many other disciplines. Certificate students will fulfill a two-course sequence on statistical modeling (SSC 352 or SSC 325H, and SSC 353), a two-course sequence on probability and inference (SSC 321, M 362K or EE 351K, and SSC 323 or M 378K), and complete two elective courses (six hours) in statistics, machine learning, econometrics, etc. from the approved elective list. Three elective hours must be upper-division, and only one introductory statistics course (e.g. SSC or SSC 328M, STA 309, etc.) may count towards the elective requirement. M 408D or M 408M is a prerequisite for the program. The following courses are required: 1. Mathematics 362K, Probability I, or Statistics and Scientific Computation 321, Introduction to Probability and Statistics, or Electrical Engineering 351K, Probability and Random Processes 2. Statistics and Scientific Computation 323, Statistical Learning and Inference, or Mathematics 378K, Introduction to Mathematical Statistics 3. Statistics and Scientific Computation 352, Statistical Methods (Statistical Modeling), or 325H, Honors Statistics, or equivalent. 4. Six hours of electives (See Appendix A for list of approved electives) Appendix A: List of Allowable Electives Course Abbreviation and Number Course Title MIS Data Mining for Business McCombs School of Business STA 309 Elementary Business Statistics McCombs School of Business STA Multivariate Statistical Analysis McCombs School of Business STA Financial & Econometric Time Series Modeling McCombs School of Business STA 376 Intermediate Statistics McCombs School of Business ADV 344K Advertising Research College of Communication CMS 348 Communication Research Methods College of Communication RTF 330K Introduction to Research Methods College of Communication EDP 362T Tests and Measurements College of Education HED 343 Epidemiology in Health Promotion College of Education KIN 376 Measurement in Kinesiology College of Education CHE 376K Process Evaluation & Quality Control Cockrell School of Engineering EE 361M Introduction to Data Mining Cockrell School of Engineering EE 366L Statistics for Manufacturing Cockrell School of Engineering SCH

5 EE 371D Introduction to Neural Networks Cockrell School of Engineering EE 379K.21 Information & Cryptography Cockrell School of Engineering ME 366R Stochastic Methods for Operations Research Cockrell School of Engineering ME 367S Simulation Modeling Cockrell School of Engineering PGE 378 Applied Reservoir Characterization Cockrell School of Engineering GEO 325K Computational Methods Jackson School of Geosciences GEO 365N Geophysical Data Processing Jackson School of Geosciences ECO 341K Introduction to Econometrics College of Liberal Arts ECO 350K.4 Advanced Econometrics College of Liberal Arts GRG 360L Spatial Analysis College of Liberal Arts GRG 356T.3 Geographical Information Systems & Remote College of Liberal Arts Sensing for Archaeology and Paleontology SOC 369L Analytical Demography College of Liberal Arts BIO 354 Epidemiology CS 343 Artificial Intelligence M 339J Probability Models with Actuarial Applications M 349P Actuarial Statistical Estimate M 349R Applied Regression & Time Series M 349T Times Series & Survival-Model Estimation M 358K Applied Statistics M 362M Introduction to Stochastic Processes M 378K Introduction to Mathematical Statistics NTR Epidemiological & Statistical Methods in Nutrition PBH 354 Epidemiology SSC 302 or SSC 304 or SSC 306 Data Analysis for the Health Sciences Statistics in Health Care Statistics in Market Analysis SSC 358 Special Topics in Statistics SSC 374E Visualization and Data Analysis SSC 375 Special Topics in Scientific Computation SSC 379R Undergraduate Research SSC - 5