Im helping create a Masters in Game Analytics program at Norteastern. Im looking for existing analytics programs. Anybody have experience with any of the below or know of others? DePaul University Chicago, Ill. Degree: Master of Science in Predictive Analytics School: College of Computing and Digital Media 100% Online Description: Graduates obtain a variety of skills required for a career in predictive analytics, including the ability to analyze large datasets and to develop modeling solutions for decision support. Students also gain a good understanding of the fundamental principles of marketing and customer relationship management along with communication skills to present results to a non-technical business audience. Students can pursue concentrations in computational methods or marketing. Prerequisites: Bachelors degree with a minimum 3.0 GPA. Related professional experience is recommended. Students can take the GAE to test out of prerequisite course requirements. Full-time program: 2 years. Part-time options: Yes. No time limit on earning degree as long as you remain enrolled. Distance learning options: Yes. Degree can be completed entirely online. Recommended Reading scs.northwestern.edu/program-areas/Graduate/predictive-analytics/index.php University of Illinois at Urbana-Champaign Champaign, Ill. Degree: Master of Science in Statistics: Analytics Concentration School: Graduate College, Department of Statistics Description: Combines the mathematical and statistical training of a traditional MS in Statistics with enhanced computational and data analytics training. The program includes fundamentals in mathematical and applied statistics as well as specialized training in data management, analysis and model building with large datasets and databases. Specialized courses emphasize statistical computing, data management and statistical learning, which encompasses topics under the broader title of data mining. MS applicants interested in careers in financial services or insurance are encouraged to apply for the State Farm Research Centers Modeling and Analytics Graduate Network program, which offers tuition support and internship opportunities. Prerequisites: Undergraduate degree (3.0+ GPA) with a background in mathematics and statistics including calculus through multivariable calculus, linear algebra and an introduction to mathematical statistics and probability. GRE exam required. Students should have experience with computing and data, including prior use of statistical software such as SAS or SPSS as well as an interactive programming environment such as C, R or Matlab. Full-time program: 1 Year (3 semesters). Part-time options: Limited Distance learning options: No Recommended Reading stat.illinois.edu/degrees/msanalytics.shtml University of California, Berkeley Berkeley, California Degree: Master of Data Science U.C. Berkeley Data Science Masters Program 100% Online ischool.berkeley.edu/research/datascience The Master of Information and Data Science (MIDS) program is an innovative part-time fully online program that trains data-savvy professionals and managers. Working with data at scale requires distinctive new skills and tools. The MIDS program is distinguished by its disciplinary breadth; unlike other programs that focus on advanced mathematics and modeling alone, the MIDS degree provides students insights from social science and policy research, as well as statistics, computer science and engineering. University of California, Berkeley Berkeley, California Degree: Master of Engineering School: College of Engineering, Electrical Engineering and Computer Sciences Department Description: Accelerated, interdisciplinary program has three major components: a technical concentration, courses in leadership skills and a capstone project through which teams of three to five students study a specific problem or opportunity that can be addressed by technology. Concentration options include Data Science and Systems, which prepares students for data-centric industries requiring understanding of data management fundamentals, technologies and techniques. The College of Engineering is the home of Berkeleys AMPLab, which explores the role of algorithms, machines and people in big data analytics. Prerequisites: Bachelors degree or equivalent with a minimum GPA of 3.0. GRE test required. Full-time program: 10 Months. Part-time options: Yes. Two-year, part-time program available. Distance learning options: No Recommended Reading eecs.berkeley.edu/education/degrees.shtml Harvard University Cambridge, Mass. Degree: Masters of Science in Computational Science and Engineering School: School of Engineering and Applied Sciences Description: One-year program developed in 2010 by Harvards Institute For Applied Computational Science (IACS). Provides mathematical and computing foundations complemented by independent research projects and elective courses. Graduates will master mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and efficient methods for organizing, exploring, visualizing, processing and analyzing very large data sets. Prerequisites: Undergraduate degree in the natural sciences, mathematics or engineering. GRE test required. Full-time program: 1 year. Part-time options: Limited Distance learning options: No Recommended Reading seas.harvard.edu/computational-science-and-engineering/master-science-cse New York University New York, N.Y. Degree: Master of Business Administration, specialization In Business Analytics School: Stern School of Business Description: Teaches the use of data and models to support decision making. Students learn how to model such relationships as the impact of advertising on sales, how historical data predict stock returns, and how changes in task characteristics can influence time to completion. Courses cover data mining, decision models, econometrics, forecasting time series data, risk management, trading strategies and systems and regression and multivariate data analysis. The Stern School is the home of The Center for Business Analytics, an inter-disciplinary research initiative focused on the use of statistical, machine learning, econometric, optimization and experimental methodologies with massive datasets. Prerequisites: Students have undergraduate degrees in a variety of academic backgrounds, including liberal arts, engineering, social sciences and business. GMAT score or GRE scores will be considered. Most applicants have between one and ten years of work experience (average is five) in professions such as consulting, financial services, entertainment, consumer products, nonprofit and technology. Full-time program: 2 years. Part-time options: Yes. Part-time and Executive MBA programs. Distance learning options: Selected courses. Recommended Reading stern.nyu.edu/programs-admissions/full-time-mba/academics/specializations/business-analytics/ Stanford University Stanford, Calif. Degree: Master of Science In Computer Science, Specialization in Information Management and Analytics School: School of Engineering, Computer Science Department Description: Covers the principles of modern database and information management systems as well as methods for mining massive data sets. Topics range from system design, architecture and management to applying algorithms, data-mining and machine-learning techniques to perform analyses over large data sets. Related topics include distributed systems, networking and security on the system side as well as text mining, bioinformatics, Web search and social media applications. Stanford also offers a four-course graduate certificate in Mining Massive Data Sets. Prerequisites: Candidates must have acquired the foundations of computer science at the level of an undergrad minor at a minimum. At Stanford these foundations include courses on the mathematical foundations of computing, programming methodology and abstractions, computer organization and systems, object-oriented systems design and principles of computer systems. Full-time program: 2 years. Part-time options: Limited Distance learning options: Selected courses Recommended Reading cs.stanford.edu/degrees/mscs/specializations/ Northwestern University Evanston, Ill. Degree: Master of Science in Analytics School: McCormick School of Engineering and Applied Science Description: Curriculum explores data science, information technology and business analytics. Combines mathematical and statistical study with instruction in advanced computation and data analysis. Students learn to identify patterns and trends, interpret and gain insight from vast quantities of structured and unstructured data, and communicate their findings. Encompasses three areas of data analysis: predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation). Program is supplemented by an internship placement and industry supplied projects. Prerequisites: Bachelors degrees in engineering, business, computer science, math and information technology are typical, though no specific type of undergraduate degree is required. GPA of at least 3.0 is recommended. Full-time program: 15 months. Part-time options: Northwestern Universitys School of Continuing Studies also offers a part-time Master of Science in Predictive Analytics Online program. Distance learning options: Yes. See part-time, online Predictive Analytics degree above. analytics.northwestern.edu/curriculum/index.html
Posted on: Thu, 07 Nov 2013 16:37:37 +0000
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