Please note: This program is no longer accepting applications. We encourage you to check out our M.S. in Artificial Intelligence or our M.S. in A.I. in Business and Analytics.
Be the one who understands every facet of the field of information
Computer scientists and information technologists build the programs that gather information and ensure that networks, systems, and databases run smoothly.
Business analytics professionals are experts in interpreting information, using it to make decisions.
Designers create a user experience that presents information in a pleasing way and holds peoples’ interest.
Every one of these specialists has a crucial role to play. But what if you were the one who combined knowledge of all of those disciplines and understood how they work together? With our M.S. in Information Science, you will be that professional, an expert on all the facets of information and their interdisciplinary dependence on each other. When most organizations tend to segregate the art, science, and business of information within their operations, your broad-based skills and big-picture perspective will be an invaluable asset to them.
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Introduction to Programming/C
A first course in computer programming using the C language, for those with little or no experience in programming. Problem solving methods, program planning, development, and testing. Sound programming practices and good style. Simple preprocessor usage, objects, expressions, functions, libraries, basic types, arrays, and pointers. Extensive programming will be required.
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Digital Story Telling with Tableau
Primary focus of this course is on the data visualization tools and techniques. The course will utilize Tableau Desktop and Tableau Public data visualization tool. Connecting to external data sources, transporting data into interactive dashboards will be given emphasis. This course also provides the mathematical and statistical preparation to support data analysis tools and techniques and prepare the student to apply quantitative methods and data analysis techniques. Topics include Tableau, pivot tables, data representation, statistical data analysis, creating dashboards and storytelling.
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Leadership and Entrepreneurism
Core skills necessary for professional data scientists to succeed in an industry setting. Students learn the skills of data visualization in parallel with the soft skills of communicating with a non-technical audience, interviewing skills, and core data science leadership skills. Emphasis is placed on enabling students to listen to articulated business needs or problem cases and learn how to propose as well as execute data science solutions to effectively meet these needs. Students may receive exemption from prerequisites at the instructor's discretion.
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Database Systems
A survey of database systems, their purposes, structures, functions and uses. Topics include an overview of DB systems, major DB models, design and implementation, introduction to typical DB systems, and internal operation of DB systems.
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Introduction to Script Programming/Python
Techniques and tools for developing simple scripts in Python. It introduces Python by a comparative approach and explores the Python libraries and their applications to varied tasks. Individual scripting projects will be assigned. Knowledge of C and/or Java is required.
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Full List of Courses and Learning Outcomes for M.S. in Information Science
The University of New Haven offers a wide variety of in-depth courses that create a transformational educational experience for our students. To view the complete list of courses you'll take while pursuing a master’s degree in Information Science, check out the Academic Catalog: