Master's Degree in Operations Management in New York in USA

See Masters Programs in Operations Management 2017 in New York in USA

Operations Management

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

Operations management is a multidisciplinary field intended to help businesses maintain efficient operating practices and procedures while using minimal resources and manpower. Students of operations management undergo education relating to the planning, organizing or supervising of the production of goods and services.

The United States of America is a large country in North America, often referred to as the "USA", the "US", the "United States", "America", or simply "the States". American colleges are funded by "tuition" charged to the student, which is often quite expensive, very commonly reaching into the tens of thousands of dollars per year.

New York is northeastern and 3rd most populous state of US. Statue of Liberty, Niagara Falls and General Shuylers House at Saratoga National Historic Park are among the most visited places by the university/college level students. Public university system of the state includes 68 Communities, technical, undergraduate, doctor-granting colleges. There are many private colleges in the province as well.

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Master in Operations Research and Information Engineering

Cornell Tech
Campus Full time 1 year September 2017 USA Chelsea

Any business in any industry gains a competitive edge when they can harness data to inform strategic decisions. Our ORIE Masters will give you the mathematical and modeling skills you need to put data to work. [+]

Masters in Operations Management in New York in USA. Master in Operations Research and Information Engineering Businesses of all types and sizes are awash in data and hungry for skilled analysts and information scientists who can use that data to make insightful, real-time business decisions. Cornell Tech's Master in Operations Research and Information Engineering (ORIE) will provide you with the mathematical modeling and data analysis skills you need to drive the decisions that improve customer satisfaction and operational efficiency. Learn Where Rigor Meets Innovation Cornell Tech's ORIE Masters combines Cornell University's academic rigor with the energy and opportunity that come with studying in the heart of New York's tech start-up community. Led by faculty who are actively shaping the future of Big Data, you'll master the intricacies of data modeling, machine learning and predictive analytics. You'll gain commercial context for your technical expertise through classes in business and entrepreneurship. Working in cross-functional teams with your classmates—who will include ambitious young lawyers, engineers, marketers and product managers— you'll create your own businesses in the Startup Studio and develop real solutions for clients in the Product Studio program. In just one year, you'll graduate with the skills, experience, and network you need to help startups and established companies alike harness data to drive customer value. Who Should Apply? Cornell Tech's ORIE Masters is ideal for students with a passion for querying data and using data-derived insights to shape business decisions. The minimum technical requirements are that you have completed one course on optimization, one course of intermediate-level probability and statistics and one course on intermediate-level programming before applying. A Master of Engineering in Operations Research and Information Engineering (ORIE) is also offered on Cornell's Ithaca campus, with a focus on building traditional math, scientific, and engineering skills, rather than Cornell Tech’s more data-driven approach to teaching mathematical and modeling skills to inform strategic decisions. Topics Covered Optimization Methods Probabilistic Analysis Machine Learning Data Science Modeling Under Uncertainty FEATURED COURSE Optimization Methods Credits 3.00 This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, integer and nonlinear optimization. We will emphasize optimization as a large-scale computational tool, and show how to link programming languages, such as Python, Java and C++, with optimization software, such as Gurobi and CPLEX, to develop industrial-strength decision-support systems. We will demonstrate how to incorporate uncertainty into optimization problems. Throughout the course, we will cover a variety of modern applications and show how to deploy large-scale optimization models. Careers in the Field Analyst Data Scientist Product Manager Startup Founder What Your Schedule Might Look Like In the fall you’ll take morning classroom courses in Optimization Methods, Modeling Under Uncertainty, and Applied Machine learning. You’ll spend afternoons working on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio. In the spring you’ll take morning classroom courses in Service Systems & Online Markets and e-Logistics. You’ll also take one business and one tech elective. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management. MEng Application Timeline Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them. The 2016-17 application deadlines for Operations Research & Information Engineering and Electrical & Computer Engineering are as follows: Round 1 - December 5, 2016 Round 2 - January 20, 2017* Round 3 - March 3, 2017** *Scholarship: To be considered for a merit-based scholarship, applicants are strongly encouraged to apply by the January 20th Round 2 application deadline. ** Complete applications received by April 10, 2017 will still be given full consideration for admission, capacity permitting; but applicants are encouraged to submit their applications as early as possible.Submitting applications early ensures early response. Application Requirements To be considered, all applicants must provide the following in their online application: Résumé You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited. Personal Statement Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities. In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you. Two Recommendations Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role on substantial projects. Recommendations must be submitted online. GRE The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report. Transcripts Transcripts from each previously-attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation. Application Fee A nonrefundable application fee of $95 must be submitted with the online application. International Applicants Transcripts In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing. TOEFL Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows: Writing: 20 Reading 20 Listening 15 Speaking 22 The TOEFL requirement may be waived if the applicant meets at least one of these criteria: Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom. Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations. [-]