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
Computational Data Science is a new major and there is no available destination data at this time. For employment outcome data, check out the Bureau of Labor Statistics.
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!
Commercial Banking & Credit
Internet & Software
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