Technical aspect of programming - operating systems, systems software, algorithms, data visualization, designs for data storage and retrieval, challenges in cloud computing, its security and privacy.
Statistics & Data Science
Building the theoretical foundations in probability and statistics, design modern statistical approaches like machine learning to data driven questions through the interaction of theory and computation.
Management Information Systems
Applying computer technology, quantitative techniques, and administrative skills to the information processing to manage computerized information systems to meet the needs of business organizations.
Systems and Industrial Engineering
Solving to engineering problems by integrating classical tools with modern data science, using optimization strategies and incorporating human factors to production systems analysis, logistics, and supply chain analysis.
Data Science in Your Future
Data driven inquiries play a role in a vast array of careers. Your ability to solve problems is enhanced by complementing your major with a data science minor.
For those who are planning to come to the University of Arizona to study data science, the table below gives the introductory mathematics, statistics, and computation required for the degree.
|Computer Science||Information Science||Management Information Systems||Systems & Industrial Engineering||Statistics & Data Science|
|Mathematics||Calc I & Calc II or Linear Algebra||Calc I||College Algebra||Calc I, II, & III, Differential Equations||Calc I, II, & III, Linear Algebra|
|Statistics||College algebra based||College algebra based||Calc based||Calc and Linear Algebra Based|
|Computation||Python or Java||R and Python||Java||C or Python||R and Python|