Data Science & Technology
These fields draw from techniques and theories in math, statistics, information science, and computer science to find solutions using computational and data-driven approaches.
How Can I Explore Careers in Data Science and Technology?
Data science professionals create and utilize powerful methods to collect, curate, analyze, and make discoveries from large-scale data. Opportunities are found in many industries, depending on the type of data you want to work with: finance, technology, medicine, economics, retail, marketing, and more.
Technology professionals use software, hardware and information technology (IT) as tools to identify solutions in every industry, such as healthcare, government, education, and e-commerce. The job areas below can be found in all types of agencies, from corporate giants to small start-ups, government agencies, and non-profits.
- What Can I Do With This Major?: scroll down to “Link Academics to Careers” and click on “What Can I Do With This Major?” link
- Career Cornerstone: comprehensive site for STEM career exploration
- Springboard: data science career paths
- O*NET: descriptions and data on hundreds of occupations
- Vault IT and Engineering Career Guide: To access Vault, visit the Handshake Resources section
- Vault Gaming Industry Career Guide: To access Vault, visit the Handshake Resources section
Sample Job Areas:
- Data analysis/statistics: Collection, processing, and display of data to spot trends, model predictions, and make decisions
- Data engineering and architecture: Design, building, and management of information infrastructure and architecture that analyze and process data
- Database administration: Management of the planning, development, performance, integrity, and security of a database and troubleshooting issues
- Geographic information systems (GIS): Use of computer systems for capturing, storing and displaying data related to positions on the earth’s surface
- Information security: Planning and implementation of security measures to protect computer systems, networks, and data
- Research and development: Design and development of new products, algorithms or approaches to machine learning or statistics.
- Software engineering and development: Design, creation, testing, and maintenance of computer applications software and systems
- Systems engineering: Development, testing, and evaluation of software, circuits, and computers using knowledge of computer science, engineering, and mathematical analysis
- User experience and user interface design: Application of end-user research, knowledge, and psychology to build or change how a product “feels” (user experience) or how a product is laid out (user interface)
- Web and application development: Creation and maintenance of a website's look, layout, and features using skills in graphic design and programming