Faculty of Computer and Information Sciences | Department of Data Science and Analytics

#	Key Learning Outcomes
1	Applies advanced math and stats to solve data science problems.
2	Uses modern programming and data structures for algorithm design.
3	Makes data-driven business decisions using economic principles.
4	Analyzes and visualizes big data using statistical inference.
5	Works in interdisciplinary teams and communicates in English.
6	Adheres to professional, legal, and ethical standards in data.
7	Develops artificial intelligence and machine learning models and integrates them into business environments.
8	Processes, stores, and analyzes large-scale and real-time data streams utilizing distributed computing and cloud architectures.
9	Reports research findings at academic and professional standards using reproducible workflows in accordance with open science principles.
10	Demonstrates data-driven organizational culture and leadership qualities within the framework of data strategy, data ethics, and AI governance.