Capstone Major

The Data Theory major is a designated capstone major. Students work in small teams to solve a large, open-ended data science problem for community- or campus-based clients. Emphasis is placed on the development and theoretical support of a statistical model or algorithmic approach. Alternatively, students may undertake research on the … For more content click the Read More button below.

Learning Outcomes

1.
Understanding of mathematical and statistical bases of most common methods of data science
2.
Ability to explain in writing, with examples, how concepts of statistics and mathematics together solve real-world problems involving data
3.
Skillfully manage data
4.
Development, comparison, and testing of data-driven models to solve problems
5.
Understanding and explanation of variability when fitting and interpreting models of real-world systems
6.
Carrying out of reproducible data analysis using accepted practices of research community
7.
Written and verbal communication of findings of analyses
8.
Identification of areas of active research in data science
9.
Insightfully address problems concerning ethics of data use and storage, including data privacy and security
10.
Demonstrated mastery of concepts and skills of machine learning, modeling and supervised learning, dimension reduction and unsupervised learning, and deep learning
11.
Demonstrated familiarity with numerous software tools used in statistical and data science work and research
12.
Demonstrated knowledge of mathematical foundations, including pure and applied linear algebra, basic analysis, probability, and optimization theory
13.
Study and evaluation of proofs of mathematical and statistical results employed in data theory
14.
Work effectively in a team on a data science problem
15.
Demonstrated eligibility for graduate study in applied mathematical science or statistical science

Entry to the Major

Pre-Major
First-Year Students
Transfer Students

Major Requirements

The Major

Policies

Preparation for the Major Policies
The Major Policies