BA/BS in Mathematics
The undergraduate program in Mathematics prepares students to:
LO1: Proof and Logical Systems. Demonstrate mathematical reasoning skills (i) through proficiency in the use of mathematical logic and language, functions, and algorithms; (ii) by developing formal proofs to support conclusions; and (iii) through familiarity with common mathematical objects and systems.
LO2: History and Context. Show an ability to make connections and applications of mathematics in other disciplines, and demonstrate a familiarity with the historical or social contexts of the subject.
LO3: Models and Data in Real-World Problem-Solving. Demonstrate the ability to analyze and solve problems, making supportable conclusions using appropriate data and statistical techniques, and through the use of mathematical models and/or simulation of concrete situations and real phenomena.
LO4: Technology and Computation. Show proficiency in the use of computation to conduct mathematical explorations and to solve problems, while being aware of the limitations of such technology.
LO5: Communication and Teamwork. Be able to work as part of a team to analyze mathematical problems, and to communicate mathematics effectively to peers, as well as to people with less mathematical background.
BS in Data Science
The undergraduate program in Data Science prepares students to:
LO1: Core Knowledge and Reasoning. Acquire sufficient mathematical, statistical, and computer science knowledge and develop respective reasoning skills to be able to correctly identify data analysis methods offered by the program in order to solve problems arising in typical data driven applications in broad areas in science, engineering, business, and medicine.
LO2: Technology and Computation. Demonstrate proficiency in the core programming languages commonly used in data science (python, R, and SQL) in all of its components, i.e., be able to collect and store (read/write), visualize, approximate, optimize with respect to relevant cost functional, make informed predictions/decisions and interpret them, all utilizing specialized software. The latter involves basic knowledge and experience with the use of currently available state-of-the-art data science software technologies and/or being aware of their capabilities.
LO3: Communication and Teamwork. Be able to work as a part of a team, to communicate effectively to peers, as well as to people outside the discipline.
LO4: Utilize Evolving Data Science Advances for Real-World Problem-Solving. Be prepared to follow any new developments in data science theory and practice and be able to incorporate its evolving state-of-the-art in their work practice thus expanding their ability for better and wider real-world problem solving.