More and more universities are starting Analytics degree program. Not all programs are the same; in fact, each one seems to be pretty unique.
New addition: Chicago part time program for MS in Analytics.
The key difference I see here is that, Chicago has a required course on “Research Design for Business Applications”, as one of the 7 foundation courses.
Marketing analytics, survey research design, Financial analytics are considered as electives for a total of 11 courses and a capstone project.
Chicago has another school, IIT (Illinois Institute of Technology) offering MS in Marketing Analytics and Communications (calls it as) MS-MAC program. This is a regular day program. For more look into http://www.stuart.iit.edu/graduateprograms/ms/marketing_comm/
On the other hand, University of Cincinnati, Lindner College of Business offers Ms in Business Analytics program, which is offered both as full-time and part-time program. Check it out here http://business.uc.edu/programs/graduate/msbana.html
New Addition: September 6, 2012
Michigan State University, Broad College of Business in association with College of Engineering and College of Natural Sciences is offering a new program in MS in Business Analytics.
Program is designed to be completed in 3 semester based one year on campus studies.
The courses include from the site are:
ITM 818 Introduction to Business Analytics (3 cr)
How digitized business processes and data analytics are essential to the performance and competitive advantage of a modern corporation. Different approaches for strategic data management and business analytics. Real-world cases of successes and failures with analytics-based business strategies.
ITM 822 Project Management (3 cr)
Management of information systems projects. Modeling of business processes. Management of project scope, time, and costs. Planning and control of projects. Program and portfolio management. Consulting issues for effective project management.
CSE 891 Computational Techniques for Large-Scale Data Analysis (3 cr)
Emerging issues in big data (e.g., collection, warehousing, preprocessing and querying; mining, cluster analysis, association analytics; MapReduce, Hadoop; out-of-core, online, sampling-based, and approximate learning algorithms; model evaluation and applications, etc.).
Recommended background: CSE 232 or permission of instructor.
MGT 805 Communications Strategies for Analytics (3 cr)
Development of managerial level business communication skills. Communication strategy development in oral and written form.
STT 863 Applied Statistics Methods (3 cr)
Application of regression models including simple and multiple regression, model diagnostics, model selection, one and two-way analysis of variance, mixed effects models, randomized block designs, and logistic regression.
Recommended background: STT 442 or STT 862; MTH 415 or concurrently.
MKT 829 Marketing Technology and Analytics (3 cr)
The collection and analysis of information from the web, including web-based surveys, web analytics, online communities, blog scraping, and web spiders to support marketing planning and performance. Online
STT 890 Statistical Problems (3 cr)
Individualized study on selected problems.
Or AEC 891 Topics In Agricultural Economics (3 cr)Or CSE 890 Independent Study (3 cr)
Or any 890-891 independent study/topics course at MSU for analyzing big data problems
CSE 881 Data Mining (3 cr)
Techniques and algorithms for knowledge discovery in databases, from data preprocessing and transformation to model validation and post-processing.
Recommended background: Programming skills in C, C++, Java, and Matlab. Basic knowledge in calculus, probability and statistics.
MKT 865 Emerging Topics in Business (3 cr)
Perspectives on new and emerging issues of business administration. Topics vary including content resource management systems, data mars, software meeting commercial standards, and a firm project related to big data.
ITM 888 Capstone: Business Analytics (3 cr)
Practicum in the development and delivery of predictive data analysis for strategic decision making in organizations. Application of the principles and tools of analytics to real-world problems in R&D, marketing, supply chain, accounting, finance and human resources management. Development and presentation of analytical
insights and recommendations.
MGT 805 Ethics and Intellectual Property Issues (1.5 cr)
Legal, ethical, and intellectual property issues related to big data analytics.
GPA Requirements. Students must maintain a cumulative grade-point average of 3.0 or higher in all graduate courses.
Also, “…Learn more about admission requirements and how to apply. View the brochure for more information. Specific questions can be addressed to email@example.com.“.
New addition: Starting Summer 2013
Oakland University, Michigan, USA – the main claim is you can complete in less than a year and it mixes half online with half the time on campus.
Program Toolbox and Skills
|Unified Modeling Language Tools
Microsoft Visual Studio 2010
Microsoft SQL Server
SQL Server Reporting Services
SQL Server Analysis Services
SQL Server Master Data Services
Palisade DecisionTools Suite
Arena Simulation Software
|Microsoft Excel + VBA
Excel Solver & XLMiner
JMP Statistical Discovery
Degree: Master of Science in IT Management – Business Analytics
Earn a Master’s degree in as little as a year.
A 1-Year, Cutting Edge, Focused Program in Business Analytics
- Half On-Line
- Half @ Oakland University
- All In-State Resident Tuition Rates
More details available here
Updated Q1 2012:
Here is a list, with out any priorities attached; the first part significantly follows the kdnuggets notes in terms of structure and notes.
However, I will be adding my review of the course contents.
NY University, Stern School of Business, interestingly it will be a strong program for executives from NY – Northeast – USA, and China
Bentley University Business Analytics programs: MBA with Analytics focus, MS in Information Technology with Analytics Focus, PhD in Business with Analytics Concentration. Waltham, MA.
Central Connecticut State University (CCSU), offering MS in Data Mining. New Britain, CT.
CMU Program in Knowledge Discovery and Data Mining at CMU Center for Automated Learning and Discovery. Pittsburgh, PA.
Drexel U. MS in Business Analytics, at Lebow college of business.
Penn State Data Mining Certificate program, Pennsylvania, PA.
Saint Joseph’s University MS in Business Intelligence, for business professionals. Philadelphia, PA.
Stevens Institute of Technology Master of Science – Business Intelligence & Analytics, Hoboken NJ
Also read: Five things a modern predictive analyst need to be good at
College of Charleston Undergraduate Discovery Informatics Program, new interdisciplinary programm which integrates computer science and mathematics with specific application disciplines. Charleston, SC.
George Mason U. Computational Statistics in the Data Sciences Program. Fairfax, Virginia.
George Mason U. Graduate Certificate Program in Data Mining. Fairfax, Virginia.
NC State Master of Science in Analytics, Raleigh, NC.
Oklahoma State University offers 2 certificates in Business Analytics and Business Data Mining for training management or technical professionals in the field of analytics and data mining using SAS tools such as SAS EG, SAS EM and JMP. Offered online and on-campus. Stillwater, OK.
U. of Central Florida (UCF), Dept. of Statistics, offering a Data Mining Certificate Program and Master’s degree in Data Mining. Orlando, FL.
University of Houston – Clear Lake Financial Data Mining course, by Prof. Gary D.
U. of Louisville Certificate in Data Mining, jointly offered by Computer Science and Math Depts for training professionals in the interdisciplinary field of data mining. Louisville, KY.
U. of Tennesee Master in Business Analytics, Knoxville, TN.
DePaul University Center for Data Mining and Predictive Analytics, offering MS in Predictive Analytics, Chicago, IL.
Northwestern University Master of Science in Analytics, Evanston, IL.
See also Northwestern U. School of Continuing Studies Master of Science in Predictive Analytics, online program.
University of Denver MS in Business Intelligence at Daniel’s School of Business, Denver, CO, USA.
UIUC (U. of Illinois at Urbana-Champaign) Data Sciences Summer Institute, Urbana-Champaign, IL.
Stanford Center for Professional Education, offers Data Mining and Applications certificate program for managers and professionals. Stanford, CA.
UCI M.S. Program in Knowledge Discovery in Data. Irvine, CA.
UCSD Data Mining certificate program, San Diego, CA.
U. of California Santa Cruz graduate level data mining course, offered for professionals and graduate students at two locations: UCSC Silicon Valley Center and Santa Cruz.
for More details that also includes Canadian schools, See http://www.kdnuggets.com/education/usa-canada.html
Most of the information has been sourced from http://www.kdnuggets.com/education/usa-canada.html with added latest information. However, I plan to review each of the program in detail.
July 2012: Today, I am reviewing the Northwestern University, fully online globally accessible program.
The key training modules needed are,
CIS 317-DL Database Systems Design & Implementation
CIS 435-DL Data Warehousing and Data Mining
401 DL – PREDICT 401-DL ( Core Course )
Introduction to Statistical Analysis
PREDICT 402-DL ( Core Course )
Introduction to Predictive Analytics & Data Collection
PREDICT 410-DL ( Core Course )
Predictive Modeling I
PREDICT 411-DL ( Core Course )
Predictive Modeling II
PREDICT 412-DL ( Elective )
Advanced Modeling Techniques
PREDICT 450-DL ( Elective )
PREDICT 451-DL ( Elective )
PREDICT 453-DL ( Elective )
PREDICT 475-DL ( Core Course )
LEADERS 481-DL ( Core Course )
Foundations of Leadership
PREDICT 498-DL ( Final Project )
This is a global program and any one with the right background can benefit from this program.
Northwestern University site ( http://www.predictive-analytics.northwestern.edu/ )
reads: “Students in the MSPA program will learn how to harness the power of new data sources to influence high-level decisions and, as leaders with analytics expertise, to implement more effective strategies and solutions. The MSPA program’s convenient online format provides comprehensive instruction in advanced analytics — quantitative analysis, database administration, predictive modeling and more.
The program consists of 11 courses, each 10 weeks in length. The program can be completed in as little as six quarters (1.5 years), but most students graduate after two to three years of study. Students can start courses in any one of four terms during the year.
Visit our admissions page for more information.
Working professionals with a solid mathematical foundation and an interest in quantitative analysis are encouraged to apply to the MSPA program. Our analytics courses adopt a conceptual approach that makes them accessible to students from a wide variety of professional and educational backgrounds. The program also includes opportunities for practical application of conceptual learning through case studies in five specific industries. The program concludes with an individual capstone project or course that allows students to demonstrate their knowledge and personal interests.
DEVELOP TECHNICAL PROFICIENCY AND LEADERSHIP SKILLS
The MSPA curriculum provides students with exposure to enterprise-ready database programs such as Oracle and Postgres, and the top statistical modeling software including IBM SPSS, SAS, and R. Graduates can leverage this multilingual training when seeking careers across industries.
The MPSA program differs from other analytics programs by grounding students not only in analytics and its practical application, but also by helping students develop the critical communication skills that will enable them to convey the value of data-based decision-making and the meaning of complex analytic results.
The MSPA program also includes Northwestern University School of Continuing Studies’ 10-week leadership course designed to equip students with the leadership techniques and skills necessary to direct data-driven decision making processes. The course gives students exposure to theories and best practices in the field and better prepares graduates to enter leadership roles in a wide variety of organizations.”
BIG data Analytics:
While industry understands the importance of BIG data and the need to have its own graduate program concentrated in BIG data there is no full fledged BIG data MS program yet.
However, there is an online program from Stanford, Mining Massive Datasets Graduate Certificate
The following set of courses are part of such training certificate:
Mining Massive Data Sets Graduate Certificate
For more information, visit the Mining Massive Datasets Graduate Certificate page.
LSU MS in Analytics Program: The complete material is from LSU School
“The Master of Science in Analytics program has a practical orientation. The MSA degree is designed to prepare students to use data-driven methods to contribute to organizational effectiveness and guide decisions. The curriculum emphasizes the use of business analytics, business intelligence and information technology to solve problems, reduces costs, increase revenues, streamline processes, and improve decision-making. Students learn specialized skills and knowledge drawn from the fields of computer science, statistics, operations research, and quality management to achieve results through a mixture of classroom instruction, hands-on exercises, and team-based projects. Key topics include the structured query language (SQL), multivariate statistics, clustering, data-mining, design of experiments, optimization methods, and predictive modeling. Teamwork, written and oral communication, presentation skills and state-of-the-art visualization techniques are also stressed throughout the curriculum.
- Intensive 10 month, 36 course hour program.
- Begins in the Summer Intersession Semester, not the Fall Semester.
- Integrated curriculum includes data management, statistics, operations research, and information technology. It is designed to produce a well-rounded business analytics & business intelligence professional ready to succeed in private industry as well as in government and non-profit organizations.
- The program’s content includes a variety of specialized business areas such as financial analytics, web analytics, marketing analytics, supply chain analytics, and healthcare analytics.
- The program has a practical orientation. It uses large real-world databases with hands-on exercises to prepare the students to be productive employees immediately as they transition from the classroom to the workforce.
- Close supervision and mentoring by ISDS Department faculty.
- A cohort learning model that emphasizes team-based learning.
- The program will be housed in the newly constructed Business Complex.
- Opportunities to earn professional certifications from SAS and other sources during the program.
- Above average salaries in a growing professional career area.
- Goal is placement at Fortune 1000 companies.
- 36 hours of graduate level course work with a 3.0 average or above
- Successful completion of a major project and passing the defense of the student’s project
A typical course list is shown here:
SAS Data Access & Management,
Select, construct & clean data,
Evaluating results, Communication & Teamwork,
Reports & Technical Writing,
Supply Chain Analytics,
Advanced Analytics I
Design of Experiments,
Advanced SAS Programming
Bayesian Models, Scorecards,
Advanced Analytics II
Exploratory Data Analysis and Visualization,
Regression with Diagnostics, ANOVA, Tables, Statistical Programming,
Fraud Detection ,
Risk Assessment, GIS,
Relational Databases &
Data Querying & Reporting,
Dimensions & Cubes
Advanced Dimensions & Cubes,
Dashboards, KPIs, Reporting,
Business Analytics & Knowledge Management
Admission to the program is competitive. Minimum requirements for admission into the program are listed below.
- A GPA of 3.0 or higher.
- GMAT or GRE scores that meet the Graduate School’s requirements (the ISDS Department accepts either GMAT or GRE scores).
- International students must have TOEFL scores that meet the Graduate School’s requirements (see http://www.gradlsu.gs.lsu.edu). Students who have graduated from a non-us school should check the LSU Graduate Schools Admission Requirements to determine if a TOEFL Exam is required.
- International students must certify that funds are available to pay all costs while studying at LSU. (See http://www.oip.lsu.edu/iso/ and http://ww.oip.lsu.edu/iso/pdfs/affidavit_of_support.pdf
In addition to the Graduate School’s requirements, the ISDS Department requires the following items.
- Statement of Purpose
- Three letters of recommendation
These materials must be submitted with your other application materials. Please do not send application materials to the ISDS Department directly. Submit them through the online application system.
Completion of a graduate degree, an undergraduate degree that is more relevant, a higher GPA, higher test scores, and more relevant experiences will improve your chances of being admitted. Your chances of gaining admission are better if you have any of the following:
- Work experience in business intelligence, business analytics, data mining, data warehousing, data management, programming, web development, web analytics, risk management and related fields is advantageous.
- A degree in a field that is very relevant to the MSA degree. Some examples include: business, industrial engineering, management science, operations research, statistics, or computer science.
- A degree in a field that emphasizes mathematics, statistics, or data base management. Some examples include: any engineering degree, computer science, management science, most of the other sciences, operations research, production/operations management, economics, statistics, mathematics, and industrial/organizational psychology.
From Data Monster & Insight Monster