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Master of Science in Data Analytics
Learning Outcome Matrix
Program Code: DATAM
Start Date: 2025-09-02
Master of Science in Data Analytics
Course
Title
DATAM1
DATAM2
DATAM3
DATAM4
DATAM5
DATAM6
ILO1
ILO2
ILO3
ILO4
ILO5
DATA600
Modern Tools for Statistical Analysis
X
X
X
X
X
X
X
X
DATA605
Data Visualization & Reporting
X
X
X
X
X
X
X
X
X
DATA610
Data Mining for Decision Making
X
X
X
X
X
X
X
X
X
X
DATA611
Applied Machine Learning
X
X
X
X
X
X
X
X
X
DATA621
Advanced Analytics
X
X
X
X
X
X
X
X
X
DATA630
Applied Database Management
X
X
X
X
X
X
X
X
X
DATA695
Capstone
X
X
X
X
X
X
X
X
X
X
MATH601
Introduction to Analytics
X
X
X
X
X
X
X
X
X
MATH615
Mathematics for Analytics
X
X
X
X
X
X
Institution Learning Outcomes
ILO1
Communication: Communicate professionally using a variety of modalities (written, spoken, and technological).
ILO2
Critical Thinking: Analyze and evaluate information to make reasoned arguments and solve problems.
ILO3
Civic & Global Engagement: Integrate knowledge and skills to engage with and respond to social, environmental, and economic challenges at local, national, and global levels.
ILO4
Ethics: Analyze and evaluate complex issues and situations to make informed ethical decisions.
ILO5
Disciplinary Expertise
Program Learning Outcomes
DATAM1
Create visualizations and interactive dashboards from multiple data sources.
DATAM2
Apply appropriate data analytics methods to solve real-world business challenges.
DATAM3
Articulate data assumptions, methodologies, and findings in a variety of modes.
DATAM4
Evaluate appropriate ethical use of data.
DATAM5
Apply programming skills for effective problem solving across various analytical contexts.
DATAM6
Develop analytical models using appropriate datasets to solve problems and support decision making.