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

#	Field Qualifications
1	Possess advanced theoretical and practical knowledge in mathematics, statistics, and probability necessary to analyze and model data science problems.
2	Effectively use modern programming languages and fundamental data structures to carry out data collection, data processing, and algorithm development processes.
3	Generate analytical solutions by examining complex and large datasets through visualization, exploratory data analysis, and statistical inference methods.
4	Take responsibility in interdisciplinary teams and communicate findings effectively in written and oral English at academic and professional levels.
5	Possess theoretical and practical mastery in designing, training, and optimizing machine learning and deep learning algorithms.
6	Manage end-to-end data engineering processes using big data ecosystems, database management systems, and cloud computing infrastructures.
7	Comprehend the global and societal impacts of computing and technology applications; possess the awareness to act in accordance with data privacy, intellectual property, and professional ethical standards.