Program Goals & Objectives Dual M.A./M.S. in Economics and Statistics

Learning Outcomes: The following are the core learning outcomes that all students should meet in order to receive a graduate degree from the Department of Mathematical and Statistical Sciences. 

1. Students will acquire an operational understanding of Real Analysis and Linear Algebra at the graduate level. Doctoral students will additionally progress in one of the disciplines to an advanced graduate level.
2. Students will be able to orally present their mathematics, or the mathematics of others, with the aid of relevant presentation software as appropriate.               
3. Students will be able to present mathematics in writing, utilizing the appropriate conventions of the discipline. This may involve summary and analysis of the mathematics of others, development (including proof) of their own mathematics, or both. 
4. Students will acquire a breadth of knowledge across several of the following disciplines at the graduate level. Doctoral students will additionally acquire knowledge on two or more of the disciplines at an advanced graduate level.
   1. Computational Mathematics
   2. Discrete Mathematics
   3. Machine Learning and Data Science
   4. Optimization and Operations Research
   5. Statistics 
5. Students will acquire a depth of knowledge commensurate with their progress in the program in one of the following disciplines.
   1. Computational Mathematics
   2. Discrete Mathematics
   3. Machine Learning and Data Science
   4. Optimization and Operations Research
   5. Statistics