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.
The Minor in Data Analytics aims to provide students with:
- the skills to extract and formulate problems addressable by analytics.
- both the design thinking and programming skills necessary to deal with different stages of data analytics.
- a sufficient toolbox of methodologies to identify, select, deploy, validate, and communicate ethically appropriate solutions to analytics problems.
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.
For a Minor in Data Analytics, students must complete a minimum of 18 credits, distributed as follows:
- Core Courses (6 credits)
- Elective Courses (12 credits)
Core Courses (6 credits)
- BDA211 Introduction to Applied Data Analytics (3 cr.)
Students must choose one of the below courses:
- BDA311 Data Driven Design Thinking (3 cr.)
- BDA401 Methodologies and Model Building in Data Analytics (3 cr.)
Elective Courses (12 credits)
Four electives are to be chosen from the following1:
Department of Information Technology and Operations Management
- ITM232 Enterprise Resource Planning (ERP) Analytics (3 cr.)
- ITM302 Data and Information Management (3 cr.)
- ITM402 Business Intelligence (3 cr.)
- ITM403 IT Project Management (3 cr.)
- MKT488 Topics in Marketing: Market/Consumer Analytics (3 cr.)
Department of Communication Arts
- JSC222 Digital Media Design (3 cr.)
- JSC224 Social Media (3 cr.)
- JSC314 Data and Society (3 cr.)
- JSC434 Data Journalism (3 cr.)
Department of Computer Science and Mathematics
- BIF244 Introduction to Script Programming (3 cr.)
- BIF524 Data Mining (3 cr.)
- CSC206 Introduction to Artificial Intelligence (3 cr.)
- CSC375 Database Management Systems2 (3 cr.)
- CSC498 Topics in Computer Science: Data Visualization (3 cr.)
Department of Electrical and Computer Engineering
- COE418 Database Systems2 (3 cr.)
- COE543 Intelligent Data Processing and Applications (3 cr.)
- COE544 Intelligent Engineering Algorithms (3 cr.)
2 Students can register in ONE of these two courses since they are equivalent to each other.