Data Science (M.A.S.) Every applicant who meets the admission deadline is automatically considered for a graduate scholarship. 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. Unlike many business or liberal arts school programs, which teach students how to answer well-defined questions, IIT’s Master of Data Science program teaches students how to analyze data like a scientist and creatively uncover value hidden in data. Submittal of a professional statement of objectives. Illinois Institute of Technology M.A.S in Data Science course fees, scholarships, eligibility, application, ranking and more.Rate your chances of admission in Illinois Institute of Technology M.A.S in Data Science … Whether in Chicago with its diverse economy and thriving tech community or across the globe, our data science alumni have bright futures in the data science profession. But on the other hand, It depends how much you know about Data Science and if you have work-ex in the same … Select a minimum of one course from the following: Select nine credit hours of Data Science Electives, Master of Science in Computational Decision Sciences and Operations Research, Doctor of Philosophy in Applied Mathematics, Download PDF of the entire 2019-2020 Undergraduate Catalog, Download PDF of the entire 2019-2020 Graduate Catalog. Still not convinced? Applicants are evaluated on an individual basis, but are expected to have basic knowledge of discrete mathematics, linear algebra, probability, statistics, relational databases, and some programming such as Matlab, C++, Java, Python, or Ruby. Apply today, visit us in Chicago, and contact us for more information. This program is designed for those without a prior degree in computer science, or those who are primarily interested in a (non-thesis) program preparing them for careers as working computer science … The PDF will include all information unique to this page. A data scientist's job is to make sense of a complex and changing world. Six of these classes must be part of the core Data Science curriculum, and can include: Advanced Database Organization; Applied Statistics; Machine Learning; Data Preparation and Analysis; Project Management; and Public Engagement for Scientists. They do this by exploring and improving the structure of the available data, creating and evaluating models, and by constructing and testing hypotheses. Copyright © 2018 Info Edge India Ltd. All rights reserved. Applicants whose bachelor's degree was earned at an institution where English is not the primary language of instruction must submit TOEFL/PTE/IELTS scores. By combining high-level mathematics, statistics, and computer science skills with the ability to communicate results, data scientists make a complicated and dynamic world more comprehensible. Who may apply? The Master of Computer Science (MCS) with a Specialization in Data Analytics explores the latest IT data … Applicants should have a bachelor’s degree from an accredited university with a minimum cumulative GPA of 3.0/4.0. What are chances of receiving scholarship? The College of Science at Illinois Institute of Technology (IIT) offers two online master’s degree programs in the field of analytics. This professional master’s degree program consists of 30 credit hours of coursework in computer science. Students in the Master of Data Science program dive deeply into the underlying premises of given problems, learn to reformulate the questions, and determine if the results make sense. Undergraduate Advising: firstname.lastname@example.org Full-time students may complete the program in one year, including one summer term. This professional master’s degree program consists of 33 credit hours of coursework. Program Director Illinois Institute of Technology, Ryan Nelson Illinois Computer Science offers a specialized track of courses that satisfy the MCS degree requirements, but with coursework that focuses on data science — the art of extracting new knowledge and finding meaningful information in a massive sea of data. The MCS-DS track requires 32 credit hours of graduate coursework, completed through eight graduate-level courses each at the four credit hour level. Data Science: Fall and Spring admission, State Authorizations No Campus Visits Required, Program Start Dates The city’s unusually open access to its data provides exciting research … Neither of these programs has any mandatory campus visits. CS 498 Data Visualization CS 519 Scientific Visualization. At Illinois Tech, data science isn’t just about data. Types of scholarships for Indian students? Students will study subjects such as Advanced Database Organization, Data-Intensive Computing, Applied Statistics, Machine Learning, Data Preparation and Analysis, etc. * Prerequisites apply. The program is designed primarily for those with previous degrees or experience in computer science, statistics, mathematics, the natural or social sciences, or business, and who are interested in preparing for a career as a data science professional in business and industry. Must complete one course each (with a grade of B- or higher) from the four different areas of machine learning, data mining, data visualization and cloud computing. Surprised? Applicants should hold a 4-year bachelor's degree (or equivalent). The Online MCS program is accredited by the Higher Learning Commission and enrolled students are eligible for financial assistance. Proficiency and placement exams are also available. Any other course taken for letter grade must have a grade of C or higher. All trademarks belong to the respective owners. Illinois Institute of Technology - Online Data Analytics and Data Science Programs The College of Science at Illinois Institute of Technology (IIT) offers two online master’s degree programs in the field of analytics. At Illinois Tech, make sense of data using high-level mathematics, statistics, and computer science, and become skilled at communicating your insights and results. The recommended undergraduate GPA for applicants applying to the Professional Master's program is a 3.2/4.0 or higher. They learn how to analyze the data, visualize the results and equally important, how to articulate their discoveries. The remaining six credits of the degree program are devoted to a Practicum and Data Science Seminar, which gives students the opportunity to engage in an applied research project, and report on their findings. Analytics: Three starts per year: Fall, Spring, Summer terms Applicants without this can strengthen their application for admission by passing the optional Data Structures Proficiency Exam. Learn to think about real problems, not just apply tools. Fall Semester:CS 410 Text Information SystemsCS 425 Distributed Systems (Cloud Computing Concepts)CS 498 Cloud NetworkingCS 519 Scientific VisualizationCS 598 Foundations of Data CurationCS 598 Practical Statistical Learning, Spring Semester:CS 411 Database SystemsCS 412 Intro to Data MiningCS 418 Interactive Computer Graphics (starting Spring 2020)CS 445 Computational Photography (starting Spring 2020)CS 498 Cloud Computing ApplicationsCS 498 Applied Machine LearningCS 498 Internet of Things (starting Spring 2020)CS 598 Advanced Bayesian Modelling, Summer Semester:CS 498 Data VisualizationCS 421 Programming Languages and CompilersSTAT 420 Methods of Applied Statistics CS 513 Theory & Practice of Data CleaningCS 598 Cloud Computing CapstoneCS 598 Data Mining Capstone. Students with at least three A’s and one B in these courses then have an option of completing a Master’s Project for up to six of the 33 total credits required, or taking additional classes in Data Analytics. Applicants must have completed the equivalent of the following fundamental undergraduate coursework to begin the Master of Data Science degree program: Accelerated Introduction to Computer Science, Knowledge of any high-level programming language, such as C or Python, as well as object-oriented programming, can be substituted for knowledge of C++ or Java, 304 (quantitative + verbal) and 2.5 (analytical writing).