DATA VISUALIZATION AND INTERPRETATION


Interested in the rigor of a MBA and a professional graduate level credential?

Advance your career with the Master's of 艺术 in Applied Professional Studies, Data Visualization and Interpretation program and develop a specific set of skills focused on the presentation of convincing information.

LEARN TO SELECT THE RESEARCH THAT IS MOST RELEVANT TO YOUR JOB FIELD, AND PRESENT IT TO PEOPLE CONVINCINGLY
As an advancing professional in the corporate or public sector, you will need to give presentations about "stuff". Often times the information you present includes data. There are data scientists who collect data, social scientists who analyze the data and make sense of it. In this concentration, you will learn to selectively take the information provided by the data and social scientists, and learn how to best convey that data visually.

例子
A director of sales presents sales figures in the form of a basic spreadsheet. Visualizing data is more convincing than the numbers. An effective presenter conveys information faster, and understands various ways to do it, and which options are better than others.

A finance manager presents information using a pie chart, and then highlights a slice of the pie using a circle. The example is a small detail that doesn’t offend the audience, but can cause confusion and static, which may delay the acceptance of information.

Data visualization gives you the tools to conceptually understand the undergirding of the kinds of data you want to represent so you can know the best way to convey that data.

EXPERTS IN THE FIELD
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Overall, this program is about giving you the tools to learn how to use information effectively in any presentation you will give.
That is Data Visualization and Interpretation.

  1. Demonstrate a knowledge of a variety of design and research approaches
  2. Describe the main goals of data visualization in a way that demonstrates general understanding
  3. Utilize the different technologies associated with data mining, data visualization, text analytics and data graphics
  4. Translate data into clear, actionable insights
  5. Present information clearly, logically, and critically, to support decision making.

DATA VISUALIZATION AND INTERPRETATION CONCENTRATION

图730  Data Visualization Concepts (需要) Explores data visualization including opportunities for critiquing representations of data, techniques used in analysis packages and best practices for data visualization to different audiences. 

图731  Data Visualization and Communication; Tableau (required OR maps 732 OR 733) Create and distributes interactive and shareable visual analytics using Tableau.

图732  The Essentials of R for Professionals (required OR maps 732 OR 733) Analyses and describes generic programming language concepts as they are implemented in R. Creates plots, tables and charts to visualize analysis results.

图733  The Essentials of SPSS for Professionals (required OR maps 732 OR 733) Uses SPSS to summarize and display large amounts information using visual analytics.

图660  Introduction to GIS (this course only offered face-to-face on campus) Explores spatial analysis using Geographic Information Systems (GIS) technology including data acquisition, integration, and editing.  Applies GIS technologies to environmental management and urban planning. Not open to those with credit in GEOG 460.

图634  Ethics and Data Technology  Distinguishes the emerging moral conflicts with data collection and presentation, identifies the relevant ethical features, and develops strategies and policies for avoiding these conflicts.

图584  Modeling Landscape Ecology  Analyses landscape ecology from the perspective of its close alignment with the understanding of scale, the causes of landscape pattern, and the interactions of spatial pattern with ecological processes.  Uses metric tools and spatial model techniques to explain real world phenomena. Not open to those with credit in GEOG 384.

图507  Survey Methods  Explores survey research including data collection and data analysis. Not open to those with credit in SOCA 307.

图739  Special Topics in Data Visualization and Interpretation 
Provides an in depth study of new and/or special-interest subject areas within the discipline.  Course may be repeated with a different topic for a maximum of 6 credits.

图799  Independent Study Provides an opportunity to work on an independent research study or project under the supervision of a faculty member.

Course Schedule

秋季

图507
Survey Methods
Fall – Full Semester

图523
Institutional Racism in America
Fall – Full Semester

图660
Introduction to GIS Analysis*
Fall – Full Semester
*Face-to-Face only

图701
Applied 研究 for Professionals
Fall – Second 7 weeks

图702
Professional Ethics
Fall – First 7 weeks

图710
The Global City
Fall – First 7 weeks

图720
Foundations of Public Service
Fall – Second 7 weeks (odd)

图799
Independent Study          

弹簧                  

图507
Survey Methods
Spring – Full Semester

图512
Global Warming Policy and Governance
Spring – Second 7 weeks (even)

图517
Strategic Decision Making
Spring – Full Semester (odd)

图523
Institutional Racism in America
Spring – Full Semester

图584
Modeling Landscape Ecology
Spring – Full Semester (even)

图700
Formal Organization
Spring-Full Semester       

图703
Professional Communication
Spring – First 7 weeks

图721
Public Policy
Spring – Second 7 weeks (even)

图722
Social Justice and Public Service图730
Data Visualization Concepts
Spring – First 7 weeks (odd)           

图739
Special Topics in Data Visualization & Interpretation        
Spring – Second 7 weeks

图799
Independent Study

夏天              

图606
Advanced Program Evaluation
Summer – Second 7 weeks

图634
Ethics and Data Technology
Summer – First 7 weeks (even)

图705
实习
Summer – 12 weeks (starting 2020)

图729
Special Topics in Public Service  
Summer – First 7 weeks

图731
Data Visualization and Communication;                   Tableau
Summer- First 4 weeks (odd)

图732
The Essentials of R for Professionals
Summer – Second 4 weeks (odd)

图733
The Essentials of SPSS for Professionals
Summer – Third 4 weeks (odd)

图799
Independent Study          

Admission applications will be accepted on a rolling basis. Applicants are required to have an undergraduate degree with a cumulative GPA of 2.75, or if the applicants has a graduate degree the GPA requirement is waived. 申请人 are also required to submit all undergraduate and graduate transcripts, a current resume/CV, and two letters of recommendation, preferably one from a current supervisor if employed. 

For applicants who do not meet the admission criteria, admission with probationary status may be granted after taking into consideration the applicant’s special qualifications and circumstances. Students admitted on probation will be on probation for their first 9 semester credits. A student who is admitted on probation is required to attain a minimum GPA of 3.00 on the first 9 credits hours of course work completed at UW-Parkside. Students who do not meet the above requirement will be dropped from the program.

申请人 are 不需要 to take the GRE or MAT assessment for admission to the program.

International students from non-English-speaking countries must demonstrate proficiency in English.

Official TOEFL scores must meet or exceed the below requirements:

  • Paper-based: a minimum score of 525
  • Computer-based: a minimum score of 197
  • Internet-based: a minimum score of 71

Official IELTS scores that meet or exceed the below requirements:

  • A minimum score of 6.0

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MAPS PROGRAM CONTACT INFO

Denise Olstinske  |  262-595-2162  | denise.olstinske@uwp.edu

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