Computational Data Science
WHAT IS COMPUTATIONAL DATA SCIENCE?
Computational Data Science combines aspects of statistics, computer science, mathematics and machine learning to identify trends, make predictions, and solve problems. Computational data science uses algorithms and data structures to store, manipulate, visualize and learn from large data sets.
WHAT DOES A COMPUTATIONAL DATA SCIENTIST DO?
Computational Data Scientists work in a wide variety of industries. Some common tasks include:
-
Collecting and categorizing large datasets
-
Cleaning and validating data to ensure accuracy, completeness and uniformity
-
Identifying patterns and trends in data sets
-
Devising models and algorithms to uncover hidden meaning
-
Forecasting future trends and results
-
Training intelligent systems
-
Producing summarizations and visualizations of datasets and communicate results to stakeholders
-
Discovering solutions and opportunities through an understanding of data sets
POSSIBLE INDUSTRIES
Explore some common industries associated with Computational Data Science. Determine which industries fit you best in order to guide your search for job titles and companies you may want to work for!
Aerospace
Commercial Banking & Credit
Defense
Government
Healthcare
Internet & Software
Manufacturing
Telecommunications
Transportation and Logistics
No available industry data for CDS graduates
COMMON JOB TITLES
Learn about some of the common job titles among Computational Data Scientists. Utilize Handshake to search for the specific job titles that interest you the most and see the specific skills and experiences employers are looking for so that you can start developing them now!
Computational Engineer - Uses computers and devises algorithms to solve mathematical models for complex systems, simulate behaviors and analyze simulation output
Data Mining Engineer - Set up infrastructure for storing and analyzing data; sort through information to produce findings that a business can analyze to improve systems and operations
Data Modeler - Designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases
Data Scientist - Design data modeling processes, create algorithms and predictive models to extract data for business needs, analyze data and share insights and visualizations for decision making
Data Warehouse Architect - Designs and maintains data management solutions; analyzes data needs, and deploys data management software for storing and retrieving data from the cloud or machine storage
Machine Learning Data Scientist - Design and create systems allowing computers to learn and make predictions from data
No available job title data for CDS graduates
DESTINATION DATA
Learn about the specific data associated with Computational Data Science graduates so that you can better understand the average compensation and placement rates within the major. (Represents 2023 data.)