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1/7/2013
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Big Data Analytics Master's Degrees: 20 Top Programs

These one-year and two-year graduate programs are just what's needed to close the big-data talent gap. Read on to find a school that fits your ambitions and background.




It's well documented that there's a big data talent gap, but what's being done about it? What's needed is knowledge and experience. On the first front, hundreds of colleges and universities worldwide are gearing up business analytics, machine learning and other programs aimed at analysis of data in a business context.

Data growth is headed in one direction, so it's clear that the skills gap is a long-term problem. But many businesses just can't wait the three to five years it might take today's undergrads to become business-savvy professionals. With that and InformationWeek's readership in mind, there's a great opportunity for experienced information management professionals and even data-savvy IT generalists to fill the talent void. Thus, here's our short list of one- and two-year business analytics and big-data-oriented masters programs in North America.

All of these programs are geared to candidates who already have undergraduate degrees, and most favor professionals with three or more years of work experience. In many cases part-time options are available, so students can continue to work as they learn more about big data analytics.

This is not a ranking. It's an alphabetical listing of well-known and emerging masters programs specifically targeting the big data analytics talent gap. We've included several of the masters programs at elite schools of engineering where grad-school-supported research programs have sprung up around big data. Columbia, for example, has its Institute for Data Sciences, Harvard has its Institute for Applied Computational Science and the University of California, Berkeley has its AMPLab (which explores the role of algorithms, machines and people in big data analytics).

Getting into a masters program at an elite school is no guarantee you'll be tapped for an interesting big data research project working alongside a well-known professor. Nevertheless, graduates of these schools tend to have their pick of future employers.

More than half of these schools are offering fairly new masters programs in business analytics. These tend to be interdisciplinary degrees sponsored by schools of business. In some cases it's an MBA degree with a specialization in analytics and information management (see New York University and Rutgers). In other cases it's a focused, business-meets-analytics program that can be completed in one year or less (see North Carolina State University, Drexel, Louisiana State University and Canada's York University). In still other cases, departments of statistics and operations research have dialed up their applied learning to create more business- and big-data-oriented programs (see University of Cincinnati and University of Tennessee).

Those specifically interested in big data analytics as applied to marketing should investigate Bentley University and DePaul. Insurance and financial services get special attention at the University of Illinois at Urbana-Champaign, where State Farm has a research center that offers tuition assistance and internship opportunities.

Given the number of universities developing business analytics and big-data related programs, a list of 20 schools can't be comprehensive. Thus, our last slide offers links to 10 more masters programs for big data analytics, including new programs at Arizona State, Fordham University and The University of Maryland.

We encourage schools not listed here to add appropriate masters programs using the comment tool at the bottom of the page (note: all comments that include URLs must be reviewed before posting to eliminate spam, so either omit links or count on a delay). It will take some time to fill the big data talent gap, so we'll be updating and expanding this career-development compendium as a service to our readers.


Bentley University, Waltham, Mass.

Degree: Master of Science In Marketing Analytics

School: Graduate School of Business

Description: Offers a grounding in strategic marketing and training in making marketing decisions based on quantitative analysis. Program enables students to make informed marketing decisions based on relevant data and to demonstrate the financial impact of those decisions. You'll be able to analyze large amounts of information to develop customer profiles, determine target markets and segment the customer base.

Prerequisites: Undergraduate degree and GMAT or GRE test results. Students may be required to take up to five foundation courses covering economics, statistics, accounting, finance and marketing. Students may be waived from some or all of these foundations if they have completed an equivalent course within the past five years from an accredited institution and have earned a grade equivalent to a B or better.

Full-time program: 1 to 1.5 years.

Part-time options: Yes

Distance learning options: No

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Carnegie Mellon University, Pittsburgh, Pa.

Degree: Master of Information Systems Management with a concentration in Business Intelligence and Data Analytics.

School: Heinz College (Public Policy & Information Systems)

Description: Blended business-technology program designed to foster better planning, management and technical abilities. The concentration in Business Intelligence and Data Analytics is designed for cross-training in business process analysis, predictive modeling, GIS mapping, analytical reporting, segmentation analysis and data visualization. Students gain hands-on experience through coursework and through applied research experiences at Heinz College's iLab. You'll work with real-world data sets describing behaviors of people using mobile devices, social and digital media environments, smart transportation and health care services.

Prerequisites: Successful students have demonstrated an ability to synthesize complex quantitative and qualitative concepts. Candidates tend to have a non-liberal arts undergraduate background that can vary from engineering, to information systems to physics. All students are required to complete a college-level, object-oriented programming course prior to beginning classes at Heinz College.

Full-time programs: 1 year for Master of Information Systems Management. 16 months for students pursuing concentration in Business Intelligence and Data Analytics.

Part-time options: No

Distance learning options: No

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Columbia University, New York, N.Y.

Degree: Masters of Science in Computer Science, concentration in Machine Learning

School: The Fu Foundation School of Engineering and Applied Science

Description: The Computer Science department offers masters concentrations in eight disciplines: Computational Biology, Computer Security, Foundations of Computer Science, Machine Learning, Natural Language Processing, Network Systems, Software Systems and Vision and Graphics. The Machine Learning concentration covers techniques and applications in areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, and information retrieval.

The School of Engineering is the home of the Institute for Data Sciences and Engineering, which will engage 300 masters students and 150 doctoral students in its education and research programs focusing on problems relating to big data.

Prerequisites: Undergraduate degree in computer science or a related discipline with a minimum GPA of 3.3 (3.5 or higher is typical). Those with undergraduate degree in a different field must complete at least four computer science courses covering foundations of the field and basic programming, and two mathematics courses.

Full-time program: 2 years.

Part-time options: Yes. Up to five years to complete the degree.

Distance learning options: Selected courses.

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DePaul University, Chicago, Ill.

Degree: Master of Science in Predictive Analytics

School: College of Computing and Digital Media

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: Bachelor's 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.

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Drexel University, Philadelphia, Pa.

Degree: Master of Science in Business Analytics

School: LeBow College of Business

Description: Explores quantitative methods, uncovering relationships through data analysis, and the use of data to solve business problems. Students learn how to influence decision-making, strategy and operations with fact-based insights and business performance analysis. Program addresses statistical and quantitative analysis as well as explanatory and predictive modeling with courses on statistics, operations research, mathematical modeling and management information systems.

Prerequisites: Candidates evaluated based on graduate test scores, undergraduate GPA and work experience. Work experience is preferred but not mandatory. GMAT is required with scores demonstrating a high-level of quantitative and analytical ability.

Full-time program: 1 year.

Part-time options: Yes

Distance learning options: No

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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 Harvard's 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

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Louisiana State University, Baton Rouge, La.

Degree: Master of Science In Analytics

School: E.J. Ourso College of Business

Description: Designed to meet the demand for professionals who understand big data and have the analytics skills needed to extract actionable information from large and complex data sets. Curriculum emphasizes use of advanced data management tools and applied statistical and operations research techniques to analyze large, real-world data sets in order to increase return on investment, improve customer retention, reduce fraud and improve decision making. Students receive training in SAS, SQL, R and other tools. Student teams work with companies and government organizations to solve business problems in areas such as insurance, banking, health care, communications, e-commerce, law enforcement and marketing.

Prerequisites: Undergraduate degree with 3.0+ GPA. GMAT or GRE test scores. Chances of acceptance are higher for prospects with a relevant undergraduate degree in engineering, computer science, management, science, operations research, production/operations management, economics, statistics, mathematics or industrial/organizational psychology.

Full-time program: 12 months.

Part-time options: No

Distance learning options: No

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Massachusetts Institute of Technology, Cambridge, Mass.

Degree: Master of Business Administration

School: The MIT Sloan School of Management

Description: Curriculum and degree requirements encourage choice and experimentation. After a shared first-semester "core," students design a personalized course of study. Students receive either an MBA degree or, with the completion of a thesis, a Master of Science in Management. Specialized tracks are offered in Finance, Entrepreneurship & Innovation, Enterprise Management and Sustainability.

Sloan is the home of the MIT Center for Digital Business, which pursues research on the digital economy. The center works with well-known MIT researchers, such as Professors Erik Brynjolfsson, Glen Urban, Andy McAfee and Michael Cusumano, and draws on MIT Sloan students to drive research projects.

Prerequisites: Proven academic excellence and achievement as reflected in test scores, academic records and personal recommendations. Work experience is not required, but those who have it "generally get more out of the program," according to admission guidelines. College graduates from all areas of concentration are accepted, but applicants may be required to take courses in microeconomics, calculus or financial accounting before starting MBA studies.

Full-time program: 2 years.

Part-time options: Yes. MIT Executive MBA (20 months part-time).

Distance learning options: No

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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.

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North Carolina State University, Raleigh, N.C.

Degree: Master of Science In Analytics

School: Institute for Advanced Analytics

Description: Established in 2007, this 10-month program is designed to give students a thorough understanding of the tools, methods, applications and practice of advanced analytics. The goal is to provide an education that is directly applicable to a career in industry rather than to provide a prelude to a PhD.

Topics include data mining, text mining, forecasting, optimization, databases, data visualization, data privacy and security, financial analytics, and customer analytics, as well as communication and teamwork skills. Team projects are based on analytical problems using real data from sponsoring organizations.

Prerequisites: Past academic studies in mathematics, statistics, engineering, science, computer programming, business and economics are relevant prerequisites. About half of applicants have prior graduate education, including MS, MBA and PhD degrees. Applicants must hold a bachelor's degree and have a proven track record of strong academic performance. Prospective students who have not majored (or minored) in mathematics or statistics will need to have successfully completed prerequisites in these subjects to be admitted.

Full-time program: 10 months.

Part-time options: No

Distance learning options: No

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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: Bachelor's 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 University's 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.

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Rutgers University, New Brunswick, N.J.

Degree: Master of Business And Science degree in Operations Research and Business Analytics

School: Graduate School, Professional Science Masters Programs

Description: Program unites the fields of data management, statistics, machine learning and computation for data-driven decision making. Students learn how to analyze large datasets and to develop modeling solutions to support decision making. Curriculum integrates courses in analytics with business to give students a good understanding of how data analysis drives business decision making. Prepares students for careers as predictive modelers, data-mining engineers or analysts in data-driven industries such as marketing, finance, health care and biotechnology.

Prerequisites: Bachelors degree in any science or engineering field with a GPA of 3.0+. Students of science lacking a computing background are urged to apply but may need to take a basic computing course that can count toward the degree.

Full-time program: 1.5 to 2 years.

Part-time options: Yes

Distance learning options: No

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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

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University of California at 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 Berkeley's AMPLab, which explores the role of algorithms, machines and people in big data analytics.

Prerequisites: Bachelor's 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

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University of Cincinnati, Cincinnati, Ohio

Degree: Master of Science in Business Analytics

School: Lindner College of Business

Description: Combines operations research and applied statistics, covering the use of applied mathematics and computer applications in business. Formerly known as MS -- Quantitative Analysis and taught by the Department of Operations, Business Analytics and Information Systems, this program has been evolving since the late 1970s. Relevant job-placement opportunities include supply-chain management, manufacturing, operations, health-care analysis, marketing research, financial risk analysis, information technology and consulting.

Prerequisites: Undergraduate degree in any field is acceptable. Admission is selective based on academic and professional achievement, performance on a standardized tests (GRE or GMAT), communication skills and record of effective leadership.

Full-time program: 9 months to 1 year.

Part-time options: Yes

Distance learning options: No

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University of Connecticut, Graduate Learning Center, Hartford, Conn.

Degree: Master of Science in Business Analytics and Project Management

School: School of Business, Department of Operations and Information Management

Description: Hybrid face-to-face and online program combining in-depth course work in both advanced business analytics and project management along with a broad choice of elective courses. Business analytics courses focus on data development, storage, retrieval and utilization. Also covers data preparation, predictive modeling, model assessment and model implementation as well as decision analysis, optimization, simulation, sensitivity analysis, time-series analysis and network modeling.

Project management courses focus on designing, managing and re-engineering business processes; project management; project time, scope and quality management; project communications management; project cost and risk management; project procurement management; understanding leadership type, behavioral strengths and motivators; influencing customers, managing team collaboration and productivity, and change management.

Prerequisites: Undergraduate degree with a minimum GPA of 3.0. Completion of a one-semester college-level calculus course. GMAT or GRE test.

Full-time program: 1 year.

Part-time options: Yes. Can be completed in 3.5 years.

Distance learning options: Selected courses.

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University of Illinois, 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 Center's 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

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University of Ottawa, Ottawa, Ontario, Canada

Degree: Master in Electronic Business Technologies

Schools: Telfer School of Management, School of Information Technology and Engineering, and the Faculty of Law.

Description: Interdisciplinary degree offering two specializations: Electronic Business and Electronic Technologies. Electronic Business focuses on organizational transformations based on IT, with research on best practices and trends, comparative analysis of new business models, performance evaluation based on new technologies, efficacy of new services and methods in attracting and satisfying customers and simulation of integrated supply chains. Electronic Technologies focuses on IT and system architectures used to create and manage online transactions. Research focuses on electronic commerce technologies and protocols (including wireless and multi-media); the analysis and development of algorithms (including security, data mining, Web data warehouses and distributed applications); and the definition of standards, architectures and software engineering methodologies for e-commerce systems.

Analytics & Performance is one of three Strategic Areas of Excellence at the Tefler School of Management. This focus is supported by the IBM Centre for Business Analytics and Performance, which promotes research and curriculum development in the domains of business analytics, business intelligence, and performance management.

Prerequisites: Honors bachelor's degree in a relevant discipline. For the e-business stream, disciplines such as business administration, economics, computer science, electrical engineering and business information are relevant. For the e-technologies stream, disciplines such as computer science, computer engineering, software engineering, electrical engineering and business information are relevant.

Full-time program: 12 months for a Master in Electronic Business Technologies; 16 months for a Master of Science in Electronic Business Technologies (thesis required).

Part-time options: Yes, though degree must be completed within four years of initial registration.

Distance learning options: Selected courses.

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University of Tennessee, Knoxville, Tenn.

Degree: Master of Science in Business Analytics

School: College of Business Administration, Statistics, Operations & Management Science

Description: Students develop the skills needed to work effectively in a business environment while also gaining the analytic skills to solve business problems. Core analytic skills are developed during the first year; students then choose one of two overlapping areas as a concentration: applied statistics or process optimization.

Prerequisites: Bachelor's degree with a GPA of 2.7+. If you have completed previous graduate course work, you must have a GPA of 3.0+.

Full-time program: 2 years.

Part-time options: No

Distance learning options: No

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York University, Toronto, Ontario, Canada

Degree: Master of Science in Business Analytics

School: Schulich School of Business

Description: Develops quantitative and technical skills as well as communication skills and the ability to transform data into a competitive asset. Program concludes with a 12-week research project in which students focus on a hands-on, research-driven problem within a company. Students gain advanced statistical analysis skills and an understanding of customer and transactional data. They'll also gain experience with big data, analytics and data visualization tools. Finally, students will develop presentation and communication skills needed to engage stakeholders on complex issues.

Prerequisites: Undergraduate degree (B+ average or better) in a field with significant quantitative and computational requirements, such as commerce, engineering, computer science, natural science, economics, mathematics or statistics. GMAT test scores required (no more than 5 years old).

Full-time program: 1 year.

Part-time options: No

Distance learning options: No

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Arizona State University, Tempe, Ariz.
Master of Science In Business Analytics

Fordham University, New York, N.Y.
Master Of Science In Business Analytics

Kennesaw State University, Kennesaw, Ga.
Master of Science in Applied Statistics

Michigan State University, East Lansing, Mich.
Master of Science in Business Analytics

Purdue University, Lafayette, Ind.
Master of Business Administration, Business Analytics

Stevens Institute of Technology, Hoboken, N.J.
Master of Science -- Business Intelligence & Analytics

University of Maryland, College Park, Md.
Master of Science In Business: Marketing Analytics

University of Michigan-Dearborn, Dearborn, Mich.
Master of Science in Business Analytics

University of San Francisco, San Francisco, Cal.
Master of Science in Analytics

Virginia Commonwealth University, Richmond, Va.
Master of Science in Business, concentration in decision sciences and business analytics

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HillaryUT
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HillaryUT,
User Rank: Apprentice
7/3/2014 | 12:01:16 PM
Business Analytics MS at McCombs School of Business, University of Texas at Austin
The McCombs School of Business offers a challenging, intensive one-year program for recent graduates with quantitative and technical backgrounds. The MSIROM: Business Analytics Program boasts faculty from across the UT campus, deep industry relationships with top companies like Deloitte, Walmart, IBM, AT&T and others, workshops in applications for analytics, choice of electives in marketing, supply chain, and finance, and career services support for students. STEM-certified. No work experience is required.

http://www.mccombs.utexas.edu/business-analytics.aspx

msbusinessanalytics@mccombs.utexas.edu

 

 
voorheesb@broad.msu.edu
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voorheesb@broad.msu.edu,
User Rank: Apprentice
6/10/2014 | 11:31:51 AM
Michigan State University MS Business Analytics
The MS in Business Analytics program at Michigan State University is also a phenominal program to feature. Students have the opportunity to: 

Take classes with leading Michigan State faculty in business, computer science and mathematics from the Broad College of Business, College of Engineering and College of Natural Science
  • Gain experience working on live data analysis projects and real-world problem solving every semester of the program
  • Expand thier business intelligence and link thier expertise to a growing industry
  • The curriculum includes courses in business strategy, data mining, applied statistics, project management, marketing technologies, communications and ethics  

The program is designed to be completed in one calendar year from January to December.   

To learn more, visit: https://accounting.broad.msu.edu/welcome/ms-business-analytics/about-the-program/ or email:  analytics@broad.msu.edu
JonReade
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JonReade,
User Rank: Apprentice
5/20/2014 | 5:17:50 AM
Data Science at University of Dundee, Scotland
The Data Science MSc at the University of Dundee in Scotland is also worthy of consideration.

I gained my MSc in Business Intelligence there and the Data Science MSc is run by the same people. I'd definitely recommend it:

www.dundee.ac.uk/postgraduate/courses/data_science_msc.htm
dineli
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dineli,
User Rank: Apprentice
5/14/2014 | 12:28:26 AM
Master of Business Analytics - Deakin University, Australia (online or onCampus)
The Deakin Business Analytics program is a collaborative academic program with industry. The course partners of the program include IBM, SAS, Microsoft, Accenture, Altis, Deloitte, Ernst & Young, PBT Group and PwC. The course was designed with significant input from the Analytics industry and 25% of the core curriculum is delivered by current industry practitioners. The course also gives students hands-on experience working with a range of internationally recognised business intelligence and analytics tools including IBM Cognos, SAS Enterprise Miner, Tableau and Microsoft BI/Analytics .

The Deakin Masters' is designed for those who have a Bachelor's degree and a minimum 3 years of graduate level business or IT related work experience. The course aims to develop a broad set of skills spanning Information Management, Data Analytics and Business Value of Analytics. The course is delivered in both Cloud(online) mode and Campus mode from Deakin's Burwood Campus in Melbourne with live interactive webinars of lectures. 
cdm_mgr
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cdm_mgr,
User Rank: Apprentice
1/6/2014 | 10:35:34 AM
IBM supports academic programs to close the big data skills gap
Many of these institutions participate in IBM's program to narrow the big data skills gap - over 1,000 partnerships globally receive support for analytic programs (e.g., software, curriculum development or services) from IBM as of Aug 2013.

Universities mentioned in this article:
  • Carnegie Mellon University (CMU)
  • The University of Connecticut (UCONN)
  • Northwestern
  • Louisiana State University (LSU)
  • University of Ottawa (OttawaU)
  • North Carolina State
  • DePaul University

Additional examples from IBM's 1,000+ analytic academic partnerships:
  • Dublin City University, Ireland
  • George Washington University School of Business
  • Georgetown University McDonough School of Business
  • The University of Missouri College of Engineering's Department of Computer Science
  • Mother Teresa Women's University, India
  • The National University of Singapore (NUS), Singapore
  • Rensselaer Polytechnic Institute
  • Dalhousie University's Institute for Big Data Analytics, Canada, launched in July 2013

Full list here: http://www-03.ibm.com/press/us/en/pressrelease/41733.wss
LinghuiZ086
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LinghuiZ086,
User Rank: Apprentice
12/27/2013 | 3:02:12 PM
Rensselaer Polytechnic Institute also has MS in Business Analytics 2013
The M.S. in Business Analytics provides students with the knowledge and essential skills needed to respond to the new challenges characteristic of the data intensive decision-making environments in the world today.

The M.S. in Business Analytics program prepares students with the skills to understand, analyze, and integrate data in business functions:
  • Master cutting-edge analytical modeling
  • Perform statistical analysis
  • Excel at data management techniques
  • Understand emerging concepts, practices, and techniques in handling big data
  • Utilize data modeling and analysis to identify patterns
  • Apply skills to real-world problems in specific business domains

The program is one year and 30 credits.(Business Core Courses - 12 Credits/Analytics Core Courses - 12 Credits/Domain Focused Courses - Six Credits)
hlbaker
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hlbaker,
User Rank: Apprentice
12/12/2013 | 4:36:45 PM
Pace University - MS in Customer Intelligence and Analytics
 Pace University - Lubin School of Business: New York, NY

Degree: MS in Customer Intelligence and Analytics

Description: This program develops your expertise in collecting, managing and interpreting customer data from a wide variety of sources. Graduates will be prepared to drive smarter marketing and business strategies focused on optimizing customer relationships, and be able to take advantage of the significant job growth in the field of data analytics.

Duration: The MS degree can be completed in 12 months based on full-time study, depending on your previous educational and professional background.

Program format: in-class

Prerequisites: Bachelor's degree, GMAT/GRE

More information available at: http://www.pace.edu/lubin/ms-in-customer-intelligence-analytics
CanadaGreg
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CanadaGreg,
User Rank: Apprentice
12/9/2013 | 1:23:58 PM
Data Analysis in Canada
University of the Fraser Valley in Canada has a post-degree certificate available in Data Analysis. It is an ideal program for those wanting to leverage their undergraduate skills with the data analysis skills needed in modern enterprise.

University of the Fraser Valley, Abbotsford, British Columbia

Degree: Post-degree Certificate in Data Analysis    www.ufv.ca/data

Description:  Data Analysis students at UFV acquire the skills needed to extract reliable information from large data sets. With carefully designed courses taken in both computing and statistics, you will gain the data-base skills you need to house, extract, manipulate and maintain data in the real-world ways in which it arises and you will learn the statistical techniques needed to collect data correctly, assess its quality, analyze it, and present the information effectively to decision makers. The industry standard statistical software environments SAS and R will be used throughout.

Prerequisites: A Bachelor's degree, an introductory statistics course and an introductory programming course (see website for details)

Full-time program: 10.5 months

Part-time program: yes

Distance-learning options: No

 
mbinst
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mbinst,
User Rank: Apprentice
12/9/2013 | 8:22:56 AM
Applied Data Analytics MSc at Bournemouth University
I would like to draw your attention to masters courses in data/business analytics outside of US. One which seems to stand out as it is delivered in collaboration with SAS Institute, is the Applied Data Analytics (ADA) MSc at Bournemouth University, UK. I think this might be relevant for US students due to lower fees and no language/visa barrier.
allison225
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allison225,
User Rank: Apprentice
12/2/2013 | 12:39:17 PM
Update CMU listing to include PT and Online
Can you update your original listing for Carnegie Mellon's Master of Information Systems Management degree to reflect that it has both Part-time and Online degree options through its sister program, the Master of Science in Information Technology www.heinz.cmu.edu/msit-bida? Other sites are sharing your list so I want to make sure they have the right info at the source and the previous comments have all been removed.  Thanks for your help!
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