Data Analytics M.S. Handout
M.S. in Data Analytics
What can I do with this degree?
Related Career Titles
Search for potential careers/jobs with these position titles
Possible Position Titles
- Data Analyst
- Systems Analyst
- Data Architect
- Business Analyst
- Digital Data Analytics Manager
- Financial Analyst
- Business Intelligence Developer
- ETL Developer
- Solutions Architect
- Systems Analytics Director
- Business Intelligence Manager
Industries
- Bioinformatics
- Finance
- Government Agencies
- Healthcare
- Higher Education
- Insurance
- Information Technologies
- Robotics/Manufacturing
- Telecommunications
Professional Organizations
Affiliate yourself with groups to network and learn about the field:
- Data Management Association International (DAMA)
- Data Science Association
- International Institute of Business Analysis (IIBA)
- Digital Analytics Association
- The Association of Financial Analysts
Explore Career-Specific Websites
Community Partnerships
Research location organizations offering internships to students pursuing a Data Analytics degree.
For students currently employed, consider opportunities within your organization or business by approaching your employer directly. For students entering a new industry, schedule an appointment with the Career Development Center for assistance.
What is M.S. in Data Analytics?
The Master of Science in Data Analytics is an application-based master’s program that allows motivated, ambitious students to learn the statistical and computation tools to assemble, structure, and analyze large data sets; learn to manage large projects involving big data; and effectively communicate findings, visually, orally and in writing. The Data Analytics program is designed to meet the increasing need for highly skilled data analysts who can analyze the growing amount of data confronting a variety of disciplines, and transform it into usable information for use in decision-making. The program is a university-wide collaboration that delivers rigorous training in statistical analysis and computational techniques, and provides mastery of data analysis tied to interdisciplinary applications.