Applied Data Science

Specialization in Applied Data Science (ADS) emphasizes users, tools, and applications in the Data Science Lifecycles. The ADS focus prepares students for a career in Data Science with practical skills to solve real-world data problems at application levels, rather than computational level or system development level. It offers training of information science and knowledge organization principles and hands-on skills to solve data problems in application domains and use related tools and products effectively. 

ADS-Related Professional Associations

• American Society of Information Science & Technology (ASIST) 
• Association of Computing Machinery (ACM):  
  • Special Interest Group (SIG): Knowledge Discovery and Data Mining (KDD); 
  • Special Interest Group (SIG): Artificial Intelligence (AI) 
• Research Data Access & Preservation (RDAP) 
• Research Data Alliance (RDA) 

Sample Job Titles

Data Analyst ● Data and Information Visualization Librarian ● Data Curation Librarian ● Data Librarian ● Data Management Specialist ● Data Science Librarian ● Data Scientist ● Data Services Librarian ● Data Services Specialist ● Data Strategist ● Data Visualization/Data Analyst ● Digital Scholarship Librarian ● Digital Solutions Data Scientist ● Manager, Data Science and Analytics ● Research Data Librarian ● Research Data Manager ● The Digital Testing, Analytics & Optimization Manager