Welcome incoming PhD students: Joseph Battles, Aditya Bhandari, Doga Akar Bilgin, Ramanpreet Singh (Raman) Chhina, Nimisha Gupta, Arshia Hashemi, Karan Jain, Ed Jee, Mckay David Jensen, Igor Sergeevich Karpov, Xianglong Kong, Yehyun (Clara)Kyung, Conroy Lau, Feng Lin, Hugo Lopez Lopez, Philip Michael Monagan, Simon Newman, Ashton Richard Pallottini, Haruka Uchida, Grant Who may apply? Part-time students enroll in one or two courses each quarter and take their courses in the evenings or on Saturdays. NBC Tower The University is in historic Hyde Park, a vibrant community with a rich campus life. Non-credit short courses and workshops are offered to support student success in the relevant concurrent courses and electives. Each of the seven core courses is required to earn the Master of Science in Analytics. Prospective Students : (773) 702-3760. Data Science for Decision Making provides the mathematical tools to model and handle these datasets. Students will generally start their capstone project two quarters before their projected graduation. privacy notice, Gleacher Center 773.702.1731 Data Science. U Chicago’s Center for Data Science and Public Policy is involved in a number of altruistic research areas and it runs the Data Science for Social Good Summer Fellowship. Foundational non-credit courses provide the basis for our rigorous analytics degree that will support the theoretical, strategic, and practical analytics studies in more advanced courses. Downtown Chicago is a short bus or train ride away. Round 1: Autumn 2021 Application Deadline, Round 2: Autumn 2021 Application Deadline, Round 3: Autumn 2021 Application Deadline. The Masters Program in Computer Science (MPCS) offers a comprehensive and professionally-oriented computer science education that combines the foundations of computer science with the applied and in-demand skills necessary for careers in technology. In addition, through a generous endowment from TransUnion, a Chicago-based information firm, we will be recruiting a TransUnion Professor, who will be housed in our Department of Mathematics, Statistics, and Computer Science, to help foster Data Science research and education efforts at our University. Students with a bachelor’s degree in a field other than CS are encouraged to apply, but to succeed in graduate-level CS courses, they must have prerequisite coursework or commensurate experience in object-oriented programming, data structures, algorithms, linear algebra, and statistics/probability. Requirement DA-2 The Analytics curriculum consists of the following: Our program builds a basis in analytics theory that will be applied in advanced analytics classes that span several analytics disciplines and specialities. … It combines insights, techniques, and tools from computer science, statistics, social science, and elsewhere. MPCS 53110 can be skipped by taking the Data Placement Exam. (Autumn 2020 students selecting the thirteen course curriculum take nine core courses. Focus on the fundamentals of computer science, statistics, and applied mathematics in order to balance theory and applications in the field of data science. Students have the flexibility to pursue the Master of Science in Analytics degree on a part- or full-time schedule. Full-time students start their capstone project in their third quarter. Applicants should hold a 4-year bachelor's degree (or equivalent). 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