Data Science

Degrees

Classes

DSC 101 : Data Science Tools and Methods

This course provides a general overview of the most popular tools and methods used in the field of data science and analytics.  Students are introduced to broad topics such as data mining, machine learning, topic modeling, data visualization, and programming tools.

Credits

3

DSC 201 : Data Mining and Machine Learning

Data Mining and Machine Learning are core topics to the data science discipline. In the world of big data, this course will teach the theory and application of techniques for one to analyze large -- and often times disparate -- datasets. Data Mining concepts such as data warehouses, OLAP, business intelligence using relational and spatial databases; Machine Learning will provide the mathematical and conceptual knowledge to build predicitve models, text classification, image classification, natural language processing, etc.

Credits

4

Prerequisites

DSC 301 : Advanced Databases and GIS

Advanced Databases and GIS will provide an overview of advanced database concepts/techniques and expose the students to Geographical Information System theory/techniques. Each class session will present a real world problem or research initiative. The session will then discuss the theory, logic, and skills necessary for a liberal arts student to tackle this real world situation. The session will conclude with putting the theory into action to find solutions to the stated problem.

Credits

3

Prerequisites

DSC 302 : Data Visualization

This course presents the art and science of turning data into readable graphics. We’ll explore the design and creation of data visualizations based on data available and tasks to be achieved. This process includes data modeling, data processing, mapping data attributes to graphical attributes, and strategic visual encoding. Students will evaluate the effectiveness of visualization designs and create their own data visualizations.

Credits

3

Prerequisites

CSC 115 or consent of the instructor.

DSC 402 : Data Science Capstone

Students will apply their data science knowledge and technology to a real world scenario. Students can accomplish this by working with a local businesses, acquiring data from governmental entities, or through an internship. The capstone will conclude with a final deliverable report and presentation to the business, government, or internship entity.

Credits

3

Prerequisites