Download Experiences with Business Analytics Major/Minor

Experiences with Introducing or
Expanding Analytics Offerings
Data, Analytics, and Statistics Instruction
DSI 2016 Austin, TX
Kellie Keeling
Department of Business Information & Analytics
University of Denver (DU)
November 20, 2016
Outline
• Experiences with first Graduating Class for
Business Analytics Major/Minor
• Curriculum
• Placement
• MS Business Analytics
• Continuing Discussions
Department of Business Information & Analytics
Our Department
• Business Information & Analytics
• Combination of Former Departments
• Statistics & Operations Technology
• Information Technology & Electronic Commerce
• Quarter System (4-hour 10-week classes)
• Faculty (Statistics, Management Science, IS, Industrial
Engineering, Applied Math, Educational Technology)
Teaching/Practice
Tenure Track
2 Full Prof of Practice
1 Full Prof
1 Associate Teaching Prof
3 Associate Profs
3 Assistant Teaching Prof
5 Assistant Profs
Hiring
1
More
Department of Business Information & Analytics
Business CORE
• Analytics I: Data Management and Analysis
• Ethics, privacy, and security issues
• Descriptive & visual summaries & Excel optimization
• Gathering data, "database" terminology, pivot summaries
• Excel Certification
• Analytics II: Business Statistics and Analysis
• Traditional business statistics (Probability, Distributions, Hypothesis
Testing, ANOVA, Goodness of Fit/Independence)
• Communicating results including basic data visualization (Posters)
• Word & Powerpoint Certification
• Analytics III: Business Modeling and Analysis
• Regression
• Time series forecasting
• Simulation
• Intro to Data Mining (Trying Cluster, Logistic with XL Miner/JMP)
• Communicating results – 4 projects
MINOR
+ 2 Electives
Analytics Major – 11 4-hr Courses
AUTOMATED BUSINESS PROCESSES
Programming Style and Logic, Basic Programming Structures
(VBA&VB)
FOUNDATIONS OF INFORMATION MANAGEMENT
Database fundamentals, Data modeling and normalization, Database
creation and SQL (Access)
ENTERPRISE INFORMATION MANAGEMENT
Enterprise database design and modeling, Advanced queries,
Database triggers, functions, and procedures, Windows application
development (SQL SERVER)
DATA WAREHOUSING AND BUSINESS INTELLIGENCE
Data warehouse components and construction, Extraction,
transforming, and loading (ETL) and data cleansing, Decision Trees
and Association Rules
Analytics Major - Courses
OPTIMIZATION MODELING
Spreadsheet Model Design, Optimization and Linear Programming,
Real World Problem Solving
DATA MINING AND VISUALIZATION
Descriptive analytics: Data visualization, Dashboards/scorecards,
Time Series Analysis, Regression and Survival Analysis
COMPLEX DATA ANALYTICS
Text Mining and Social Network Analysis
PROJECT MANAGEMENT AND SIMULATION
Plan projects with flexibility in scope, timeframe, and resources,
Critical Chain Approach, Probability distributions versus point
estimates, Monte Carlo Simulation Modeling (Excel)
Analytics Major - Courses
CAPSTONE/SENIOR PROJECT
Partner Company project
Spring 16: RTD: Public Bus System
Spring 17: RideFare (new Uber/Lyft competitor)
Began with Individual work – then group work
Other Focus:
Communication/Visualization/Presentation
Reproducible Research/Documenting/Journaling
Department of Business Information & Analytics
Analytics Major - Courses
PICK TWO ELECTIVES
Statistical Computing (SAS/R Scripting)
Database Driven Websites
Nonparametric Statistics
Internship
Python for Data Analytics (??? Graduate Class)
Department of Business Information & Analytics
MS Business Analytics
PROGRAMMING (Python)
Basic logic and design, data management and statistical analysis
DECISION PROCESSES
Decisions (framing, trees, matrix, payback), simulation & sensitivity
analysis, dashboards part 2
INTRODUCTION TO BUSINESS ANALYTICS
Intro to data, data warehousing, data marts, advanced analytic
techniques, decision making and organizational dynamics and
leadership (EDR, Tableau)
Department of Business Information & Analytics
MS Business Analytics
BUSINESS STATISTICS
Statistical inference, regression, ANOVA, categorical data,
goodness of fit (Excel)
PREDICTIVE ANALYTICS
Multiple regression/GLM, Logistic regression, CART, kNN
classification, time series, text mining (SPSS Modeler, Python)
DATA MINING AND VISUALIZATION
ANOVA, MANOVA, ANCOVA, cluster analysis, association rules,
PCA/FA, survey analysis, SEM, HLM, dashboards/scorecards, data
visualization (JMP, Tableau, HLM)
Department of Business Information & Analytics
MS Business Analytics
OPTIMIZATION Optimization (Excel Solver and Lingo)
PROJECT MANAGEMENT
Budgeting, uncertainty, PERT/CPM, risk; simulation using Crystal Ball,
and Simulation (in Excel)
ELECTIVES - 2 courses (SAS/R Scripting, 1 Other)
Department of Business Information & Analytics
MS Business Analytics
BUSINESS DATABASES
Database design, SQL (SQL Server)
DATA WAREHOUSING
Requirements, realities, and architecture; building and populating
data bases, developing BI applications, Powerpivot, SW/BI system,
deploy and manage
CAPSTONE PLANNING and CAPSTONE
“Consulting” overview, see capstone proposals and pick project,
quarter-long project
Department of Business Information & Analytics
Enrollments
• MS Business Analytics
• 2013 7, 2014 16, 2015 24, 2016 31 , 2017 45
• Undergraduates
• Spring 14 Graduates
• 6 statistics majors / 1 information technology major
• 4 statistics minors
• Spring 15 Graduates
• 16 statistics / 1 information technology major
• 9 statistics minors
• Spring 16 Graduate Estimates
• 4 statistics/information technology majors
• 21 BA majors
• 20 BA/statistics minors
• Spring 17 Graduate Estimates
• 32 BA Majors + 1 STAT major
Enrollments
Undergraduates Graduating
STAT/IT
BA
Minors
40
35
30
25
20
15
10
5
0
Spr 14
Spr 15
Spr 16
Spr 17
Fresh: 25
Soph: 30
Junior: 34
Minors:
STAT: 12
BANA: 39
Spr 18
Department of Business Information & Analytics
Enrollments
• Winter 2017 Undergraduates – increasing
required first 2 courses and required 2
courses for minor from 2 to 3 sections
• INFO 3100 VBA/VB – 3 sections (78)
• INFO 3200 Database – 3 sections (65)
Department of Business Information & Analytics
Enrollments
MS BA Graduating
50
40
30
20
10
0
2013
2014
2015
2016
2017
Department of Business Information & Analytics
Job Placement (21 2016 Grads)
•
•
•
•
Willis Towers Watson: Actuarial Analyst (Health and Benefits)
KPMG: Associate in Tax Technology Transformation
Northern Trust Bank: Financial Analysis Rotations
Goldman Sachs: Public Sector/Infrastructure Investment Banking Analyst
•
•
•
•
•
•
Amazon: Business Analyst
2 Motivity Solutions: Business Analyst
DataLab: Business Analyst
2 Arrow Electronics: Data Analyst & Big Data Analyst
Turbine Labs: Principal
EKS&H: Staff Consultant
•
•
•
EKS&H: Data Integration Consultant
Conatngo Technologies: IT Analyst
Boeing: IT Career Rotations
•
•
Dish Network: Marketing Analyst
Comedy works/Grad School: Business Affair intern
2 No Jobs
1 Not Looking
1 unknown
Continuing Discussions
• BA Undergraduate Major
• Student Suggestions:
• Add coding: JAVA/C/C# and statistical coding:
R/Python/SAS, more elective choices
• Project Management/Sim: issues with course – add
simulation
• Data: Moore data warehousing, non-relational databases
• Required reading: Signal and the Noise
• watch for overlap of material
Continuing Discussions
• BA Undergraduate Major
• Professor Suggestions:
• Disturbing mind map of program
• More translation to non-statistical stakeholders
• Fix Project Management, Data Warehousing/BI (was
DW/Data Mining) and Data Mining/Viz (was
Forecasting/Viz)
• Challenging, Critical Thinking & Problem Solving
• List of positives:
• Helpful enthusiastic professors overall
• Good start with VBA, like database sequence, SQL,
VB, data visualization
Continuing Discussions
• Mind Maps for Undergraduate Courses:
• Some put 3 CORE outside of INFO courses
• None integrated business classes
• A couple grouped Business:
• 'Financial/Accounting', 'Pretty Good', 'Totally
worthless classes' (MGMT,MKTG!!!)
• Groupings:
• Coding, Modeling, Visualization, Other (Project
Management!)
• Data Storage/Query, Data Interpretation, Data
Visualization
• Point here: We should create these groupings for the
students
Continuing Discussions
• MS in Business Analytics:
• Removed 2 required Business Courses for all MS
programs (Essence of Enterprise/Ethic)
• Need to add 'business' back
• Require R (or SAS/R)????
• Combine Business Processes & Project Management
into one class???
• Add more electives if want to stay in department
Department of Business Information & Analytics
Thank you
Kellie Keeling
University of Denver
[email protected]
Department of Business Information & Analytics