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Southern Methodist University

DataScience@SMU is an online Master of Science in Data Science program from Southern Methodist University that is designed for working professionals. The program features a project-based, interdisciplinary curriculum that helps students build the in-demand technical, analytical and communications skills needed to manage large data sets.Students attend an in-person immersion, participate in live, weekly online classes and complete interactive coursework that provides a comprehensive understanding of computer science, statistics, strategic behavior and data visualization. GRE waivers are available for experienced applicants.

University of California, Berkeley

UC Berkeley’s Master of Information and Data Science is a new degree intended for professionals who want to learn how to solve real-world problems in the data science realm. Students emerge with a solid understanding of the data lifecycle using the latest tools and methods for gaining insights from data.Although all coursework is delivered online, students are expected to attend a 4-5 day immersion session on the UC Berkeley campus.

University of San Francisco

Students in USF’s interdisciplinary program master the methods and technologies tied to strategic decisions; develop technical skills such as software development and statistical analysis, as well as the skills needed to effectively communicate their results.Students are required to complete. Like Stanford, USF benefits from its strategic location. Students develop software and run analyses on Amazon Web Services, and each receives his/her own server or servers to set up and manage.

Arizona State University

ASU’s nine-month program focuses on using analytics in day-to-day business processes and managing it effectively. Required courses include data mining, applied regression models, analytical decision making tools and business analytics strategy. The curriculum also includes internship opportunities and a capstone practicum project with local Arizona companies such as American Express and Intel. 30 credit hours.

Bentley University

Thanks in part to demand from companies in the Route 128 corridor, Bentley’s program is growing by leaps and bounds.The core 10-class curriculum includes required classes on strategic marketing, statistics and marketing research; students also select three graduate-level elective courses in marketing and/or information technology.Internships are encouraged but not required. All classes are held at night. 80 percent of students are currently part-time and around 50 percent are international students.

Carnegie Mellon University

The aim is to produce graduates cross-trained in business process analysis and skilled in predictive modeling, GIS mapping, analytical reporting, segmentation analysis and data visualization.Students acquire hands-on knowledge through applied research experiences at Heinz College’s iLab. They must also complete a summer internship and a team-based practicum project with an external company..

Columbia University

Columbia’s Data Science Institute is a collaboration between 9 of the university’s schools. It’s a diverse group, running the gamut from the Fu School of Engineering to the Journalism School and the Mailman School of Public Health. MS students have the option of selecting an Entrepreneurship track, as well as elective tracks covering areas like cyber security, health analytics, and smart cities.

Georgia Tech

Georgia Tech’s one-year program provides students with a world-class analytics education. The program consists of a core curriculum with the option to choose between three specialized tracks: Analytical Tools, Business Analytics, and Computational Data Analytics. This design allows students to choose electives that support their individual career goals.All courses are offered through the College of Computing, College of Engineering, and Scheller College of Business, three nationally ranked departments at Georgia Tech.Students benefit from participation in major analytics conferences and career mentoring during their stay in Atlanta. The school boasts a 100% placement rate for their 2015 graduates, and is dedicated to producing professionals ready to make an immediate impact in the field.. Concentrations in Analytical Tools, Business Analytics, and Computational Data Analytics

Illinois Institute of Technology

The Master of Data Science program, in keeping with IIT’s status as a leading technical university (it’s nationally ranked by US News & World Report for its Engineering, Computer Science, Math, and Physics programs), prepares students from a variety of backgrounds for data science careers with rigorous theoretical and practical training. In addition to technical material, courses include other important subjects such as communications, project management, and professional ethics.The curriculum includes a capstone practicum project working with a variety of Chicago-area companies in a variety of industries. The program is available online as well as part-time, making it a good fit for students who need to keep working while they earn the degree.

Indiana University, Bloomington

IU’s Master of Science in Data Science distinguishes itself partly by offering two distinct paths for students, a Technical Path and a Decision-Maker Path. The latter includes coursework on project management and driving organizational change using data.The technical curriculum includes courses in topics such as Analysis of Algorithms; Cloud Computing; and Security for Networked Systems.

Louisiana State University

Sponsored by SAS, LSU’s program is modeled on the Institute for Advanced Analytics at North Carolina State.The program works with real-world data, with a focus on data mining, forecasting, customer segmentation and predictive analytics.Core courses cover advanced data management tools, applied statistics and operations research techniques.During the year, teams of students collaborate with leading companies and government organizations on big data projects. They also learn the communication skills needed to present their solutions effectively.

Michigan State University

Core courses include business strategy, data mining, applied statistics, project management, marketing technologies, communications and ethics. In the final semester, students complete a capstone practicum in business analytics.To help ease the path of professionals, MSU offers classes in evening, weekend and online formats.

New York University

NYU’s Center for Data Science works with schools and colleges across NYU’s organization to help lead the university’s efforts in data science. It works especially closely with two other centers, the Center for Urban Science and Progress and the Center for the Promotion of Research Involving Innovative Statistical Methodology.The MS in Data Science includes a capstone project where students apply what they’ve learned to a real-world problem. Other requirements include courses in Machine Learning & Computational Statistics; and Inference & Representation.

North Carolina State University

NCSU’s interdisciplinary analytics program is an official STEM degree that is designed to be practical and real-world-oriented. It does not focus on theory or act as a preliminary step to a Ph.D.During the course of their one-year study, NCSU students acquire real-world skills in applied mathematics, statistics, computer science and business disciplines. Initial classes focus on tools and foundations; subsequent topics include data mining, advanced modeling and geospatial analytics.To encourage collaboration, students complete the curriculum in cohort groups of four or five members. Teams regularly receive personalized coaching to improve performance.In the second and third semester, students work on an intensive practicum using data provided by industry and government sponsors. Many graduate with SAS product certifications..

Northwestern University

Northwestern’s online MSPA program was launched in 2011. It covers areas like data mining, predictive modeling, and advanced statistics, but also works to help students hone business-focused skills like project management and communication, with the aim of preparing students to lead business initiatives based on data analysis. MSPA students will complete eleven courses overall: 7 required courses, 2 electives, a leadership course, and a thesis or capstone project.Northwestern’s on-campus MSiA program was first offered in 2012, and combines math and statistical studies with advanced IT and data analysis. In addition to these courses, students are also required to complete:

Rutgers University

Rutgers’ interdisciplinary Master of Business and Science program unites the fields of data management, statistics, machine learning and computation. It prepares students for careers as predictive modelers, data mining engineers and analysts in a wide variety of industries.The curriculum includes eight analytics courses (four required; four electives) and six business courses. Although most courses are located on the New Brunswick campus, some courses are available in Newark and Camden. The online Master of Information program has a Data Science concentration available.

Stanford University

This program is a collaboration between Stanford’s Department of Statistics and Institute for Computational and Mathematical Engineering. The core curriculum is, as you might imagine, heavy on mathematics and computer programming.Stanford’s key location in Silicon Valley has its benefits. For example, Stanford students are permitted to use Amazon’s EC2 cloud platform to do large-scale computing.

Texas A&M University

Texas A&M’s Master of Science in Analytics program is offered through the Department of Statistics, which is ranked #12 according to US News & World Report and is the 3rd largest statistics department in the country. Students are also given access to courses from the Mays Business School.The program trains students through intensive statistical modeling and predictive analysis courses with the goal of producing the next generation of innovators in data science. This is a part-time program taught over five semesters, and courses are held in the evenings in the CityCentre educational facility in Houston, TX.

University of Cincinnati

Formerly known as the M.S. in Quantitative Analysis, UC’s program combines math, business basics, analysis, and modeling, along with subject-area elective coursework on topics ranging from statistics and data mining to supply-chain management, operations management, finance, and epidemiology.The curriculum covers core courses in optimization, simulation modeling, probability modeling and statistical methods.Part-time students can choose to attend evening and late afternoon classes; all students are required to research, write and present a final capstone project.

University of Connecticut

The core of UConn’s program is built on ten years of an analytics partnership with General Electric. Graduates emerge with a solid real-world education in advanced business analytics and project management.Students are required to complete: Classes are held at night and on weekends; some courses are also available online. The program currently has a technology partnership with SAS and works closely with IBM.

University of Maryland

Launched in the fall of 2013, UM’s program aims to provide students with a comprehensive understanding of the mathematical and statistical models and tools needed to analyze customer data for marketing purposes.The curriculum includes:

Eight required courses (e.g., market-based management, customer analysis, statistical programming, ethics, data science, etc.)

Five application courses (e.g., market forecasting, retail analytics, customer equity management/CRM, etc.)

Smith is the hub of ten Centers of Excellence and Research, including the Center for Complexity in Business. 30 credit hours.

University of Tennessee

UT’s program emphasizes the importance of business understanding. Students learn about technical techniques in the context of larger business problems and employ analytics in ways that optimize business processes.The core curriculum focuses on analytics skills, including statistics, operations management, descriptive modeling, data mining, etc. While learning those essentials, students also choose one out of two overlapping areas: either applied statistics or process optimization.Students are required to complete an applied project with a client in government or industry. They are also strongly encouraged to participate in an internship during the summer session of the first year.

University of Virginia

UVA’s program, launched in 2014, is an intensive professional Master’s degree, meant to get students (back) into the workforce quickly. It runs from early July until mid May of the following year. The Data Science Institute’s Big Data Fellows program draw in graduate students from other disciplines in the university to work on data-driven solutions to real-world issues.

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