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DATA ANALYTICS CERTIFICATE
The College of Business has launched a nine-month, graduate level Data Analytics Certificate. Each fall, a cohort of students will learn how to analyze large data sets using a variety of traditional and emerging analysis models, from traditional statistical methods to new machine learning models. The final project will be guided by a dedicated faculty member and students will be encouraged to bring in their own work problem or work on a project provided by faculty. Learn more at an upcoming admissions event.
Join us at an upcoming info session!
Connect with David Duncombe, Ph.D., Analytics Director, at an upcoming virtual information session. Learn more about the program, intended audience, learning objectives and more during this virtual event.
May 11, 2021 | Register Here
5 p.m. – Virtual Session
May 26, 2021 | Register Here
Noon – Virtual Session
This program will be offered in a hybrid mode, combining online and in-person delivery. The in-person classes will be held Mondays from 6 – 9:10 p.m. at the UWO Appleton Executive Education Center, 2323 E. Capitol Drive, Appleton.
Length of Program
Nine months/2 semesters
Tuition and Fees
The cost of instructional tuition and fees is $9,800.
Note: Students pursuing a certificate are not eligible for financial aid. In order to be eligible for financial aid, students must be degree-seeking (e.g., MBA, MPA).
Visit the Student Financial Services website for more information on:
- Payment deadlines
- Refunds for drops and withdrawals
- Payment options
- Payment plan
- Financial agreement
- Frequently asked questions
- and more
Tuition and fee amounts are subject to change upon approval of the Board of Regents.
- Conduct common statistical analysis of data from a range of domains,
- Use readily available business tools to analyze data for decision making,
- Extract, clean and organize data from legacy systems to prepare for data analysis,
- Use visualization techniques to communicate data insights to decision makers,
- Develop, evaluate and select appropriate models for predictive analytics and machine learning, and
- Evaluate the risk involved in using and analyzing data, including privacy considerations.
- BUS 712: Data-Driven Decision Making (1.5 cr.)
- BUS 781: Foundations of Data Analysis (1.5 cr.)
- BUS 782: Extracting and Preparing Data for Analysis (1.5 cr.)
- BUS 783: Predictive Analytics and Machine Learning (1.5 cr.)
- BUS 784: Choosing Models for Predictive Analytics (1.5 cr.)
- BUS 785: Information Risk Management, Data Stewardship and Storytelling with Visualization (1.5 cr.)
- BUS 786: Data Analytics Thesis Project (1.5 cr.)
Data Analytics Certificate Course Descriptions
BUS 712: Data-Driven Decision Making (1.5 cr.)
An accelerated exposure to the fundamental statistical techniques essential to management decision-making, including descriptive statistics, basic probability, frequency distributions, inference, estimation, confidence intervals basic hypothesis testing and introduction to forecasting.
BUS 781: Foundations of Data Analysis (1.5 cr.)
Building on the foundation in BUS 712, this course will provide students with an in-depth study of how to use popular and widely available tools like Excel, PowerBI, and Tableau to manage, analyze, and visualize common types of data sets. Topics covered include spreadsheet data manipulation, formulas, macros, pivot tables, Extract Transform Load (ETL), and an initial discussion of data structures and database concepts. ***Pre req of BUS 712 (must have earned at least a B)
BUS 782: Extracting and Preparing Data for Analysis (1.5 cr)
In this course, students will learn strategies and techniques for preparing and organizing data to support analysis. Topics include: data extraction, description, cleansing, transformation, dimensional modeling, and scripting to support ETL automation. ***Pre req of BUS 781
BUS 783: Predictive Analytics and Machine Learning (1.5 cr.)
Can computers predict the future if we allow them to learn from the past? If so, how does one create such a machine, how good is it, and how can we use the results? More specifically, how can businesses, governments, non-profits, and even the military create, use predictive analytics and machine learning to shape their decisions? We will answer these questions by studying a variety of machine learning methods germane to predictive analytics. Topics covered will include information-based learning, similarity-based learning, probability-based learning, error-based learning, and performance measures for machine learning.
BUS 784: Choosing Models for Predictive Analytics (1.5 cr.)
This course introduces an array of methods and practices for analyzing cross-sectional and time-series data, with a specific focus on generating statistical forecasts in the spirit of predictive analytics. Topical coverage includes cross-sectional regression, time-series regression, time-series smoothing, logistic regression, data mining, event modeling, combination forecasting, and new-product forecasting. This is accomplished using a mix of theoretical discussions and software-based applications to real-world problems. A particular emphasis is placed on model selection and performance.
BUS 785: Information Risk Management, Data Stewardship, and Storytelling with Visualization (1.5 cr.)
In this course, students will learn:
- Design principles and tools necessary for appropriate data visualization
- Techniques for effective storytelling
- Risk management concepts applied to the information lifecycle
- Ethics and privacy related concepts, frameworks, and legislation affecting the information lifecycle
BUS 786: Data Analytics Thesis Project (1.5 cr.)
Through the project, students will be applying the material they learn in the modules throughout the program. Students can either bring their own data set and problem, join with another student to work on their data, or work on one provided to them by the faculty. Each team of students will have an assigned faculty member who will meet with them in person or virtually 8-10 times throughout the course of the program to provide guidance and advice on how to solve the problem using the different techniques presented in the program.
The objective of the thesis is to provide you with your first experience in applying the analytic certificate’s curriculum to the real world, and allow you to show the value added of the certificate. The value added could be in terms of how the analysis helps solve an organization’s internal problem, it may suggest strategies to increase an organization’s profits, or it may simply highlight the potential for your new skill set.
The thesis has two requirements. First, you are to write and submit a technical report using the methods developed in the analytics certificate. The report must promote an organization’s objectives. For instance, it should suggest the best way to spend marketing dollars, forecast demand for a product, or determine optimal pay packages to reduce employee turnover. Second, you are to present your findings to the class and potentially the organization your project promotes.
If a student chooses to work on proprietary data, we will ensure that confidentiality as appropriate through NDA agreements or other means.
For more information, contact email@example.com.
College of Business graduate certificates have the same admissions requirements as the MBA – Professional and Online paths. Click here for more information.
Additional requirements for the Data Analytics Certificate include a pre-admission interview with the program director and discussion regarding level of experience (basic, intermediate or advanced) using Microsoft Excel.
Frequently Asked Questions
Can I use undergraduate coursework towards the certificate?
No, undergraduate coursework will not count towards the certificate.
Is the GRE/GMAT required for a certificate?
No, the GRE/GMAT is not required.
Can I transfer in related credits from another institution?
All courses applied toward a certificate must be taken through UW Oshkosh.
Can I use financial aid to pay for my coursework?
No, students pursuing a certificate are not eligible for financial aid. In order to be eligible for financial aid, students must be degree-seeking (e.g., MBA, MPA).
Are Data Analytics courses offered online?
Data Analytics is a hybrid program. For student convenience, select course topics are delivered online but topics where direct student-teacher interaction is especially advantageous are delivered in person.
What software does the program primarily use?
Students gain experience in R, Excel, PowerBI, Tableau and SQL, among others.
Is the program focused on computer science or statistical methods?
The UW Oshkosh Data Analytics Certificate delivers balanced coverage of these two essential areas of data science.
Is there be a time limit on completing courses for the certificate?
This program is designed to be completed continuously with a cohort over a 9-month period. In cases where someone cannot finish the program, all coursework must be completed within four years to achieve the certificate, with approval from the program director.
Master of Business Administration
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