Masters of Science in Information Science - Machine-Learning

Our M.S. in Information is a main campus only program and offers a highly interdisciplinary curriculum, community interaction opportunities, and an emphasis on information engagement. Our aim is to help you become an information professional who can solve real-world information problems and work across disciplines. You'll develop both social and technological skills and graduate with hands-on experience that blends behavioral, psychological, cultural, and philosophical perspectives.Students have the choice to apply to M.S. Information Science, or directly to one of two sub-plans in either Machine Learning or Human-Centered Computing starting in Spring 2023.Machine learning works to help manage and interpret large amounts of data by automating the processes by which models of data are built. This emphasis will prepare graduates to be innovative scientific leaders across sectors, graduates who understand the complexities of machine-learning as a particular kind of data science. This program is offered on main campus and online for international students through our partners at Great Learning. Human-Centered Computing courses explore topics like simulations, virtual reality, human-computer interaction, user experience, and personal data-collection.

Admission and financial support will be based on an evaluation of your potential to become a qualified information professional or effective researchers in Information. We consider prior coursework and grades, letters of recommendation and research/artistic/professional products such as papers, substantive works, or significant contributions to software systems.To be admitted you must have:A bachelor\u2019s degree from the University of Arizona or from an accredited college or university recognized by the University of ArizonaA grade point average of 3.0 or higherCompleted undergraduate-level mathematics coursework and computer programming experienceSee additional requirements for international applicantsA GRE is not required. You may still submit one if you choose to.We admit applicants from a variety of different backgrounds, including sciences and engineering, social sciences and the arts and humanities. If you lack adequate math and computing training, you may be accepted provisionally and will be required to obtain necessary training before for admission (likely increasing the number of semesters needed for graduation).We offer undergraduate courses that can help remediate deficiencies or you may pursue other courses from the University of Arizona or other institutions. Undergraduate courses taken for remediation purposes may not be applied for graduate credit.Academic Statement of Purpose - Write a 750-1000 word Statement of Purpose indicating why you are interested in the program and what skills and experience you have that will make you a successful candidate for the degree.Transcripts - Upload unofficial transcripts from ALL higher educational institutions attended as part of the online application. (Please note that unofficial transcripts are needed from each individual institution even if they are listed on the final transcript where the degree was issued.)Letters of Recommendation - Provide email addresses and contact information for two recommenders in the \u2018Letters of Recommendation\u2019 section of the online application. The letters of recommendation must be received prior to the deadline for applications to be reviewed.