Purdue Statistics Recruitment Talk 2004-2005

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Transcript Purdue Statistics Recruitment Talk 2004-2005

Department of Statistics
Developing statistics programs for majors outside of
statistics and expanding interdisciplinary cooperation
R.W. Doerge
West Lafayette, IN
www.stat.purdue.edu/~doerge
Outline
 Certificate and degree programs
 Integration of Statistics requirement into other
programs
 Increased networking among student
 Successful interdisciplinary research
 Faculty and student collaboration
 Example research program
Purdue Statistics
 Undergraduate degrees
 Statistics
 minor in Statistics
 Actuarial Science (shared with Math)*
 Graduate Certificate in Applied Statistics*
 Masters
 5th year Masters*
 Mathematical Science
 Applied Statistics*
 emphasis in statistical bioinformatics
 Computational Finance
 Ph.D.*
Graduate Certificate in Applied Statistics
 4 Masters courses
 Required: Intro. Probability and Intro. Statistical Inference
 Choice of 2:
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Time series
Sampling
Applied linear models
Multivariate Statistics
Advanced statistics methodology
 Details:
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Certificate documented on transcript
Students receive physical certificate
Name is listed in commencement book
Employers love this
 Feeder for Masters in Applied Statistics
5th Year Masters of Applied Statistics
 Complete BS in Statistics
 Proper preparation for last 3 semesters
 Takes a bit of counseling
 Working hard to get undergraduate advisers onboard
 Feeder for Ph.D. program
 having the experience shows them they can do it
Dual degree Program
 Complete Masters in Applied Statistics while
working on a Ph.D. in a different department
 Complete MS in Statistics within timeframe of
Ph.D.
 Very popular
 Employers love this…
Integrate Statistics into other curricula
 Intro Statistics course used as Math requirement for
undergraduates
 700 students per semester
 Elementary Statistics course required by other
undergraduate majors
 880 students per semester
 Applied MS courses required in other graduate
programs
 Applied linear models
 Design of experiments
 Multivariate statistics
Results…
 Increased awareness of Statistics early on in
undergraduate career
 Increased number of students in statistics
courses
 Increased revenue
 Increased contact with other departments
Next Step?
 Online Certificate Program
 Some of the courses already online
 Increase dual degree and 5th year programs
 Awareness
 Increase contact with other departments…
 Has other benefits
Interdisciplinary Research…
 The increased number of non-majors in
applied statistics classes increases the network
 In class projects using real data
 Collaborations outside of class
 Research
 Students helping students
Interdisciplinary Research
 Consulting Service
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Computational Statistics
Statistical Bioinformatics
Environmental Statistics
Data Analytics
Results of interdisciplinary
connections
 Collaborative projects between research groups
 Grant opportunities and publications
 Good for young faculty just starting
 Funding of Statistics graduate students outside faculty
 Summer internships in industry
 Continued funding when student return to Purdue
 Gift funds
 Joint faculty hiring w/in and between College(s)
 Joint courses
 Exposure
 Research
Skill set…
 Students learn to talk to non-statisticians in a
meaningful manner
 a skill industry/academics wants
 Computational Statistics is at the intersection
of every interdisciplinary discipline
 Another skill that industry wants
 and academics need
Summary…
 Start early
 Undergraduate
 Be consistent
 Integrate into other disciplines’ programs
 Increase the network
 Certificate, 5th year MS, dual degree
 Research
 Collaboration