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The University of Arizona partners with upGrad, a higher education technology company based in Mumbai, India to address the demand for affordable, flexible, high-quality graduate degrees. This collaboration offers a comprehensive university experience online, through capstone projects, faculty interaction, dedicated student support, along with assessments and exams. It also provides students with a flexible learning environment to drive meaningful career transitions at affordable, country-specific tuition rates.
Program-level information:
The Masters of Science in Data Science is a 30 unit graduate degree. The Global program allows students to complete modules and a capstone with our partnership with upGrad. Through transdisciplinary work, the MS in Data Science program produces generations of professionals and researchers who have the knowledge, skill, and ability to engage in data science processes and work. This degree encompasses a blend of disciplines to address the grand challenges of today and the future. The MS in Data Science provides students the training they need in data collection, exploration, manipulation and storage, analysis, and presentation in order to navigate data-rich workplace environments.
For more information about the Data Science MS please visit https://www.upgrad.com/us/data-science-ms-uoa
The ever-increasing pace of technological innovation requires a more information-savvy workforce that understands not only the how, what, where, when, and why of technology and data but how to apply that knowledge. At the University of Arizona’s School of Information, we have faculty and students engaged in research and education around all aspects of the information sciences without regard for disciplinary boundaries. We do research in: artificial intelligence; data management and curation; computer vision; computer-mediated communication and learning; natural language processing; social networking; human computer interfaces; dark networks; computational art creation; eCommerce, eGovernment, and eHealth; computational music; library sciences; educational and entertainment technologies; and much more.
We are preparing our graduates to be the doers, thinkers, solvers, and game-changers, not only of the problems and opportunities we see now, but also of the myriad scenarios we can’t yet imagine but are sure to arise during our students’ lifetimes.
College of Social & Behavioral Sciences
Global Microcampus - Online
Students in India interested in the upGrad program should visit their website for information on admissions and requirements.
Admission will be based on an evaluation of your potential to become a qualified information professional or effective researchers in data science. 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:
The GRE is not required.
International students will be required to show English proficiency through testing or other methods. Students should contact and work with upGrad on instructions and requirements.
Applicants:
International applicants will not be considered for conditional admission by this program.
4832
30
Core required coursework:
INFO 520 Ethical Issues in Information, 3 units, minimum grade required: B
INFO 523 Data Mining and Discovery, 3 units, minimum grade required: B
INFO 526 Data Analysis and Visualization, 3 units, minimum grade required: B
INFO 698 Capstone, 3 units, minimum grade required: B
18 units
INFO 570 Data Base Development and Management (3 units)
INFO 521 Introduction to Machine Learning (3 units)
INFO 531 Data Warehousing and Analytics in the Cloud (3 units)
INFO 557 Neural Networks (3 units)
INFO 555 Applied Natural Language Processing (3 units)
INFO 673 Managing the Digital Information Environment (3 units)
Students will complete INFO 698 Capstone as part of their core course requirements.
Please refer to the Graduate Student Handbook for students who are pursuing this program of study.