Master of Applied Data Science
Ann Arbor , United States
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Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Fully Online
Duration
38 credits
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analytics | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Education type
Fully Online
Course Language
English
About Program
Program Overview
University of Michigan School of Information Programs
The University of Michigan School of Information offers a range of programs designed to equip students with the skills and knowledge necessary to succeed in the field of information science.
Bachelor of Science in Information
- The Bachelor of Science in Information program is designed for undergraduate students who wish to pursue a career in information science.
- The program requires students to complete a minimum of 120 credits, including coursework in information theory, computer science, and statistics.
- Students in this program can choose from a variety of specializations, including data science, human-computer interaction, and information analysis.
Master of Science in Information
- The Master of Science in Information program is designed for graduate students who wish to pursue advanced study in information science.
- The program requires students to complete a minimum of 48 credits, including coursework in information theory, computer science, and statistics.
- Students in this program can choose from a variety of specializations, including data science, human-computer interaction, and information analysis.
- The program also offers a range of dual degree options, including a Master of Science in Information/Master of Business Administration and a Master of Science in Information/JD.
Master of Health Informatics
- The Master of Health Informatics program is designed for graduate students who wish to pursue advanced study in health informatics.
- The program requires students to complete a minimum of 52 credits, including coursework in health informatics, computer science, and statistics.
- Students in this program can choose from a variety of specializations, including clinical informatics, public health informatics, and healthcare management.
Master of Applied Data Science
- The Master of Applied Data Science program is designed for graduate students who wish to pursue advanced study in data science.
- The program requires students to complete a minimum of 38 credits, including coursework in data science, computer science, and statistics.
- Students in this program can choose from a variety of specializations, including data analytics, machine learning, and data visualization.
PhD in Information
- The PhD in Information program is designed for graduate students who wish to pursue advanced study in information science.
- The program requires students to complete a minimum of 60 credits, including coursework in information theory, computer science, and statistics.
- Students in this program can choose from a variety of specializations, including data science, human-computer interaction, and information analysis.
Research Areas
The University of Michigan School of Information has a range of research areas, including:
- Accessibility and Computing
- Archives and Digital Curation
- Artificial Intelligence
- Collective Intelligence and Organizational Technology
- Computational Social Science
- Critical Studies of Design and Computing
- Data Science, Analytics, and Visualization
- Educational Technology and Learning Analytics
- Health Informatics
- Human Computer Interaction (HCI)
- ICTs and Social Change
- Information Economics
- Library and Information Science
- Privacy and Security
- Science, Technology, and Society
- Social Media and Social Computing
- Ubiquitous Computing
Student Experience
The University of Michigan School of Information offers a range of resources and opportunities to support student success, including:
- Academic advising
- Career development
- Engaged learning
- Internships
- Research opportunities
- Student organizations
Faculty and Alumni
The University of Michigan School of Information has a distinguished faculty and alumni network, with experts in a range of fields, including data science, human-computer interaction, and information analysis.
- Faculty members are actively engaged in research and teaching, and are committed to mentoring students and supporting their academic and professional development.
- Alumni are leaders in their fields, and are actively engaged in the school's community, providing support and guidance to current students.
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