BOARD OF ADVOCATESOctober 9, 2015

UPDATES

• ABET• Accredited until 2021• Passed with only 1 concern

• Must be addressed by next visit• “[Students will have] an understanding of professional, ethical, legal, security and

social issues and responsibilities”• Only 1 hour course to cover• Now three hour ethics course offered by Philosophy

• ECS wants coordinate all 3 (ME, ECE and CS) into one visit

UPDATES

• Ph.D. Proposal• Passed Graduate Curriculum Meeting (9/30)• Passed Graduate Council (10/2)• Council of Deans (November?)• Provost• Board of Regents (Early spring?)

UPDATES

• Moving to Hankamer• Remodel• Third Floor Offices• Second Floor Labs (Cashion)• Classrooms (Cashion)• Research Labs • ICPC Lab

• Communication with ECS

UPDATES

• Dr. Young-Rae Cho promoted to Associate Professor & Tenured

• ICPC World Finals in Morocco (2015) & Thailand (2016)

• Dr. Michael Poor NSF grant award gesture computing

• Computer Science Industrial Board meeting 10/23

• New courses• Security – Dr. Jeff Donahoo• Embedded Systems – Dr. Paul Grabow• Game Design – Dr. Matthew Fendt

DATA SCIENCEUndergraduate degree, graduate degree or not worth it?

OVERVIEW

• What is Data Science?

• Why an undergraduate degree?

• How can we implement it?

• Where – Baylor!

• When – Fall 2017

WHAT IS DATA SCIENCE?

• “Simply put, Data Science is where computer science and statistics come together to shape the future through data. ” – Paul Anderson, Director Data Science, College of Charleston

• “Data Science is the study of the generalizable extraction of knowledge from data.” – Vasant Dhar, CACM December 2013

• New paradigm of knowledge discovery• Experimental• Theoretical • Computational

WHY? - VITALLY IMPORTANT

• Increasingly, scientific breakthroughs will be powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. – The Fourth Paradigm, Hay et al 2009

• 96% of midmarket companies are using big data or planning to start in the near future – Dell survey 2014

• “Information is the oil of the 21st century, and analytics is the combustion engine.” - Peter Sondergaard, Senior Vice President, Gartner Research.

• "The goal is to turn data into information, and information into insight." – Carly Fiorina, former chief executive of Hewlett-Packard Company

• “Data is the new science. Big Data holds the answers.” - Pat Gelsinger, the Chief Executive Officer of VMware, Inc.

WHY? - HEAVY DEMAND

• “In recent years, our graduates have enjoyed a 100% placement success rate, and Department of Labor statistics project a 25% growth rate in employment through the year 2018.” – University of Iowa Business Analytics

• “Data Scientist: The Sexiest Job of the 21st Century” – Harvard Business Review

• McKinsey & Company projects that by 2018 there will be a shortage of anywhere from 140,000 to 180,000 [of] data scientists -- SMU

• Average salary $91K

WHY? - COMPETITION

• University of Michigan $100M data science initiative• “New educational opportunities for students”• Hire 35 new faculty

• 100+ graduate programs worldwide• Stanford, UC Berkeley, Georgia Tech, Columbia, CMU, SMU, A&M, etc.

• Seven undergraduate programs• Iowa (Business Analytics), Ohio State

HOW? - OHIO STATE MODEL

• General Education Requirements (13 courses)

• Core Requirements• Cal II + Linear Algebra• Eight CS courses

• Advanced Database • Data Mining• Visualization

• Seven Stats courses

• Specialization• Biomedical Informatics (9 biology/bioinformatics courses)• Business Analytics (7 business courses)• Computational Analytics (4 courses)• Capstone

HOW? - INFORMATICS MODEL

• Bioinformatics

• Balance Computer Science-Statistics• 33 Hours CS• 23 Hours Stats

• Stats major 27 hours + Cal III• 12 Hours Data Science Courses

• CSI 4352 – Data Mining• CSI 4xxx – Big Data Analytics• Others?

HOW? - COMPUTER SCIENCE TRACK MODEL

• Software Engineering & Gaming Concentrations

• Computer Science Degree + Extra Stats• 55 Hours CS• 15 Hours Stats• Stats minor 18 hours

NEED HELP

• What?• Something else?

• Why?• Missing something?

• How?• Preference?• Alternative?