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DATA ANALYTICS CERTIFICATE – Now accepting applications

Connect with the associate director of admissions via phone, video call or in-person to learn more about the Data Analytics Certificate and admissions process. 

In fall 2019, the College of Business is launching 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. 

Learning Objectives

  • 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,
  • Choose appropriate models for predictive analytics and machine learning,
  • Use predictive analytics models to help determine best courses of future, and
  • Evaluate the risk involved in using and analyzing data, including privacy considerations.

Required Courses (10 cr.)

  • 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 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.

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.

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 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 mba@uwosh.edu.

Location

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 ($4,900 billed each semester). A $250 deposit will hold your spot in the program once approved.
Note: Students pursuing a certificate are not eligible for financial aid.

Fall 2019 Schedule

 

ADMISSION REQUIREMENTS

Minimum requirements to take courses:

  • A bachelor’s degree from a regionally accredited U.S. college or university.
  • Additional requirements, including a resume and essay, may be necessary to consider admission.

How to apply for a certificate:

1) Apply for admission. If you are not a U.S. citizen, please complete the international student application materials.  Completing your application requires a non-refundable $56 application fee.  Your application will not be processed until this fee is paid.  Payment can be made online or a check can be mailed to the UW Oshkosh Office of Graduate Studies at the address listed below.  If you also plan to apply to the MBA Program, you can complete a second application at the same time.  A second application fee is not required (as long as you apply within 10 years).  

2) Request and submit official transcripts. To request official transcripts, contact any colleges or universities where you completed undergraduate or graduate coursework. An undergraduate degree from an accredited college or university is required. Transcripts may be submitted electronically to gradschool@uwosh.edu or mailed to address listed below:

UW Oshkosh Office of Graduate Studies
800 Algoma Blvd., Dempsey Hall 345
Oshkosh, WI 54901

The following steps will be completed with our advisor after acceptance into the certificate program.

Frequently Asked Questions

Is there be a time limit on completing courses for the certificate?

Yes, all coursework must be completed within four years to assure continuity.

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 to pursue a certificate. 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.

Master of Business Administration

Sage Hall, Suite 1410
835 High Avenue
Oshkosh, WI 54901 
mba@uwosh.edu • (800) 633-1430

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