There are several overlapping but distinct ways to identify and define a data scientist. At the heart of data science is the goal of knowledge discovery from data. This requires a core of specialized skills from the domains of computer science and mathematics complemented with significant exposure to a domain of specialization (e.g., business, science, social sciences, and humanities).
Graduates of this degree program will master the following core skills: Data Modeling, Data Wrangling, Experimental Design, Statistics, Optimization, Machine Learning, and Data Visualization. The core skills are complemented by domain-specific elective coursework. Recommended elective packages are provided which specifically prepare students for the following career goals: Machine Learning Data Scientist, Modeling and Software Engineering Data Scientist, Computational Data Scientist, Scientific Computing, and a Business Analytics Data Scientist. All students in this program will apply their core and domain-specific skills and knowledge to either an industry practicum or research thesis experience.
The specific learning objectives of the program are:
- Graduates will demonstrate advanced and applied knowledge of computer programming, data organization, data mining, data visualization, and algorithms.
- Graduates will demonstrate an advanced understanding in the core area of mathematics and statistics, including optimization, machine learning, regression, and linear algebra.
- Graduates will demonstrate an application of their data science graduate coursework through the completion of a Practicum Experience or Research Thesis.
