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Minor in Data Analytics
This minor is offered by the Department of Information Technology and Operations Management.
Why Minor in Data Analytics?
The mission of the Minor in Data Analytics is to provide a quality education in the field that combines theory and practice for undergraduate students equipping them with the blend of skills necessary to engage in data-driven decision making and allowing them to enter the work force – as an employee or a self-employed person – or pursue graduate studies.
In addition to ensuring academic excellence, student centeredness, and civic engagement through a mix of lab, classroom, and hands-on pedagogy, the Minor in Data Analytics has been carefully designed to endow students with the skills to mine the ever-growing mountains of data while also gaining employment in a diverse world.
The Minor in Data Analytics will provide students with a sufficient toolbox of methodologies to identify, select, deploy, validate, and communicate ethically appropriate solutions to analytics problems, in addition to the skills to extract and formulate problems addressable by analytics and the design thinking and programming skills necessary to deal with different stages of data analytics.
The minor will be open to all undergraduate students and includes electives from across the university – from Data and Society within the Journalism program to Healthcare Analytics in the domain of medicine and pharmacy.
Graduates with a Minor in Data Analytics will be able to:
- clearly frame the relevant analytics problem statement and define metrics of success in the solution to the stated analytics problem.
- identify, merge, harmonize, rescale, and clean possibly disparate data sources.
- determine and apply appropriate solution strategies to a wide variety of analytics problems across multiple domains.
- document and report findings in a way that integrates professional, ethical, and social considerations with the goal of better decision making.
Minor Course Requirements
To obtain a Minor in Data Analytics, students must complete a minimum of 18 credits, distributed as follows:
Core Requirements (6 credits)
|BDA211||Introduction to Applied Data Analytics||3|
Methodologies and Model Building in Data Analytics
Elective Courses (12 credits)
Four electives are to be chosen from the following (from any Department or Discipline):
I. BDA Elective
|BDA311||Data Driven Design Thinking||3|
II. Business Disciplines Electives
|MKT488||Topics in Marketing: Market/Consumer Analytics||3|
|QBA301||Intermediate Managerial Statistics||3|
III. Department of Information Technology and Operations Management Electives
|ITM232||Enterprise Resource Planning (ERP) Analytics||3|
|ITM302||Data and Information Management||3|
|ITM403||Information Technology Project Management||3|
|ITM398B||Web Design and Development||3|
IV. Department of Communication Arts Electives
|JSC222||Digital Media Design||3|
|JSC314||Data and Society||3|
V. Department of Computer Science and Mathematics Electives
|BIF244||Introduction to Script Programming||3|
|CSC375||Database Management Systems||3|
|CSC498||Topics in Computer Science: Data Visualization||3|
|CSC206||Introduction to Artificial Intelligence||3|
VI. Department of Electrical and Computer Engineering Electives
|COE543||Intelligent Data Processing and Applications.||3|
|COE544||Intelligent Engineering Algorithms||3|