The Masters in Business Analytics is delivered by the W. P. Carey Departments of Information Systems and Supply Chain Management. Ideal for recent undergraduates with a strong quantitative background, the MS BA is a ten course curriculum that builds upon existing skills and know ledge. The curriculum is a nine month program that combines analytic depth with business experience, small classes, and team-based learning.
MBA with a concentration in Business Analytics is designed for professionals looking to gain a competitive advantage through the use of data resources. The concentration provides a solid grounding in applied statistical methods with emphasis on the use of appropriate software tools.
The Master of Science in Marketing Analytics program teaches students how to become more engaged with consumers, how to design and deliver robust statistical analysis, and how to effectively communicate the resulting insights.
The Advanced Applied Analytics Center (AAAC) at Bryant University brings together students, faculty, practitioners and organizations from all disciplines for the study and application of analytical and visualization techniques to gain insights from “big data.” This certificate program is from the SAS Institute, a technology leader who provides various Business Intelligence and Data Mining curriculum to the academic community.
The Master of Science in Machine Learning (data mining) incorporates a rich, interdisciplinary education by combining topics such as advanced machine learning algorithms, statistical principles that provide the foundations for these algorithms, database and data warehousing methods, complexity analysis, approaches to data visualization, privacy and security issues, and specific application areas such as business, marketing, and public policy.
The MISM-BIDA program combines expertise in IT, business processes, advanced analytic techniques and real world applications. Students gain hands-on experience with iLab, which has actual data sets that describe people’s behaviours using mobile devices, social digital media environments, etc.
The Data Mining Certificate program is a one-year program designed to give students a comprehensive training in basic foundation, advanced knowledge and applications of data mining. This graduate certificate program in Data mining integrates computing technology, statistical techniques and geographical information system (GIS) together. Students will learn and experience the process of handling raw data in databases, turning data into useful information, investigating and transforming information into meaningful knowledge.
The Master of Science Machine Learning Track is intended for students who wish to develop their knowledge of machine learning techniques and applications. Machine learning is a rapidly expanding field with many applications in diverse areas such as bioinformatics, fraud detection, intelligent systems, perception, finance, information retrieval, and other areas.
The Master of Science in Predictive Analytics program covers a variety of skills required for a career in predictive analytics, including the ability to analyse large datasets and to develop modelling solutions to support decision making, understanding of the fundamental principles of marketing and customer relationship management, and communication skills to present results effectively. Students become “data mining analysts/engineers” or “predictive modellers”. This degree can be completed entirely online.
With the concentration in Business Intelligence, analysts learn to understand the strategic goals and tactical issues facing an organization, and use a combination of technology, statistics, and dashboards to provide organizations with the information they need. Business analysts have strong computational and analytical skills, and are comfortable with both statistics and technology. Students take online and on campus courses.
Drexel’s program is designed for students who have an interest in quantitative methods, exploring and uncovering relationships through data analysis, and using the data to solve business problems. The MS in Business Analytics is also ideal for MBA students seeking a quantitative second degree.
The Master of Science in Business Analytics is geared toward graduate students that would like to pursue a career in banking, consumer products, energy, government, healthcare, insurance or pharmaceuticals. One great advantage is the school’s location in the heart of one of the leading data and media centres in the world.
Fordham’s Master of Science Business Analytics program integrates analytic techniques, data management, IT, modelling, and statistics to train students to become effective analysts and informed users of business data.
The Bachelor of Science degree in Computational and Data Sciences is based on the combination of applied mathematics, real-world computer science skills, data acquisition and analysis, and scientific modelling. Graduates of the BS program in computational and data sciences will possess the mathematical, scientific, and computational skills.
MBA Business Analytics majors learn to leverage data to create more efficient business processes and more accurate performance reporting to help businesses compete and gain advantage. If you have a strong interest in mathematics, statistics, modelling, or information systems, consider a major or minor in business analytics.
The Master of Science in Analytics curriculum emphasizes the use of advanced data management tools and applied statistical and operations research techniques to analyse large real-world data sets to increase return on investment, improve customer retention, reduce fraud and improve decision making. Students receive training in SAS, SQL, R and other tools.
Loyola offers an undergraduate Business Intelligence Certificate, which is certified by SAS. This certification provides students with a competitive advantage in applying for jobs in which data mining and business intelligence are an integral part.
The Master of Science in Business Analytics is offered by the Broad College of Business in collaboration with MSU’s College of Engineering and College of Natural Science. The curriculum includes courses in business strategy, data mining, applied statistics, project management, marketing technologies, communications and ethics.
The campus is right in the heart of the city, so students will have the opportunity to personally visit the ‘big wig’ companies on Wall Street. This program also teaches students to better understand the role of evidence-based data in decision making and also influence data as a strategic asset.
The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science.
The Master of Science Data Science Concentration program in scientific computing focuses on the mathematics and computer science related to advanced computer modelling and simulation (for those concentrating on modelling and simulation) and to data analytics (for those concentrating on data science). The program is similar in structure to terminal master’s programs in engineering, combining classroom training with practical experience. The coursework ranges from foundational mathematics and fundamental algorithms to such practical topics as data visualization and software tools.
The Master of Science in Analytics immerses students in a comprehensive and applied curriculum exploring the underlying data science, information technology and business of analytics. It combines mathematical and statistical study with instruction in advanced computational and data analysis. All three areas of data analysis are studied: predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation).
The Master of Science in Predictive Analytics (MSPA), is an online, part-time program that explores these applications and much more. The MSPA program uses real-world problems and situations to prepare graduates for roles as strategic thought-leaders who leverage predictive analysis and predictive modelling to drive decision making.
The MSITM/Business Analytics program consists of 30 credit hours of advanced courses on top of a co-requisite foundation consisting of six credit hours. The two foundation courses may be waived based on experience or evidence of an equivalent course taken within five years.
This program is designed to produce analytically-savvy managers who will be adept at leading teams of IT, Marketing and Strategy personnel in any organization to solve complex business problems by analysing appropriate data. The curriculum for the program was designed in partnership with SAS, a leading provider of marketing analytics software and services.
The Graduate Business Analytics Certificate Program at the Cox School of Business enables business managers and business analysts to understand how information can be accessed from corporate databases and data warehouses, and how models can be built for a broad variety of decision problems. The modelling techniques range from traditional statistical models and optimization models to new techniques such as data mining and OLAP. This non-credit certificate program provides an in-depth look at how you can access information from corporate databases and data warehouses.
23. St. Joseph’s University
Master of Science in Business Intelligence (Online)
The curriculum of the online Business Intelligence master’s degree from Saint Joseph’s University covers data mining, data warehousing, and data-driven communication to help graduates master front to back Business Intelligence skills. Graduates will also receive a Business Intelligence Certificate from SAS.
Master of Science in Business Intelligence
The Master of Science in Business Intelligence Program at Saint Joseph’s University is designed for professionals by integrating technology and quantitative skills into a relevant, functional business context. The program provides in-depth knowledge and expertise on how data, analytics, and technology can be used to enhance organizational sense-making, decision-making, and performance.
This certificate includes a specialization of data analytics, data storage and management, data visualization, or general systems management. Core courses include databases, database management and data science.
The Department of Statistics offers a part – time Master of Science in Analytics (currently pending system and state approvals) that will offer courses from the top – ranked Mays Business School and will be open to working professionals with strong quantitative skills, for example bachelor’s degree holders in the sciences, mathematics, business and engineering fields. Skills learned are applicable in utilities, manufacturing, information, healthcare, natural resources, transportation, warehousing, finance and insurance, and many other sectors.
The program addresses data mining from a business perspective and also covers problem definition, team building, and solution strategies including data sources, business objectives, and implementation requirements. This certificate program is from the SAS Institute, a technology leader who provides various Business Intelligence and Data Mining curriculum to the academic community.
This program is intended for professionals who are using or wish to use Predictive Analytics to optimize business performance at a variety of levels in a wide range of industries. The Predictive Analytics program is often the logical next step for professional growth for those in business analysis, web analytics, marketing, business intelligence, data warehousing, and data mining.
The Data Mining track in the Statistical Computing Master of Science program focuses on data mining and its application to business, social, and health problems. The program is suited for individuals who have completed an undergraduate program in mathematics, statistics, economics, business, or other related fields, and wish to pursue a career in data mining.
The Master of Science in Business Analytics is a degree combining operations research and applied statistics, using applied mathematics and computer applications, in a business environment; the program was formerly known as the MS in Quantitative Analysis (MSQA).
The University of Connecticut’s Master of Science in Business Analytics and Project Management is designed to meet the growing demand for professionals who can harness advanced business analytics and project management skills.
The Master of Science in Business Intelligence is a 58 credit program that can be completed in 12 months or part-time with a more flexible schedule. The program consists of core business intelligence courses, business ethics and courses from each of the primary disciplines of statistics, marketing, and information technology, plus an elective from one of these disciplines. The final is a practicum related to any one or a combination of the business intelligence disciplines.
The Master of Science Concentration in Analytics combines the mathematical and statistical training of the traditional MS in Statistics with enhanced computational and data analytic training for those planning careers in information intensive industries or research. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases. The specialized courses have an emphasis on statistical computing, data management, and statistical learning, which encompasses the more statistical topics that fall under the broader title of data mining. Students are encouraged to gain experience in a business or consulting environment as part of the program.
The Master of Science in Business for Marketing Analytics will give students the knowledge and skills they need to apply marketing analytics to daily business practice. Learn how to harness and process massive amounts of data to help design products, predict the effects of marketing campaigns, and better understand customers. The program will provide students with an understanding of the mathematical and statistical models and tools needed for customer analysis in the context of marketing problems.
At University of Michigan – Dearborn, the Master of Science Business Analytics program is designed for students who want to solve important business problems through the analysis of data and statistics. The program trains students to become data scientists and business analysts.
Notre Dame’s Master of Science in Applied and Computational Mathematics and Statistics, with a specialty in Predictive Analytics, prepares students for critical positions in any data – intensive business. In this intensive 10-month program, students select courses and a real-world capstone project that are tailored to the industry in which they will seek employment.
The Master of Science in Analytics at the University of San Francisco is an intensive one year program that provides students with the skills necessary to develop techniques and processes for data-driven decision making.
The M.S. in Analytics at the University of San Francisco is an intensive one-year program that provides students with the skills necessary to develop techniques and processes for data-driven decision-making — the key to effective business strategies. You will study topics such as data mining, machine learning, statistical models, predictive analytics, econometrics, optimization, risk analysis, data visualization, business communication and management science.
Analytics and business intelligence skills are in great demand today. This certificate prepares students to acquire necessary skills in analytics and business intelligence as needed in the marketplace. Graduate students who take four of the five required courses, and earn a GPA of 3.0 or higher in these courses, will receive a “Joint SAS/USF Certificate in Analytics and Business Intelligence” when they use a SAS analytics package as part of some of these courses.
Master of Science in Business Analytics students in this program develop an understanding of business — plus they develop the skills needed to work effectively in a business environment, and learn the analytic skills to solve business problems. In addition to the core analytic skills developed during the first year, the business analytics students choose one of two overlapping areas as a concentration: Applied Statistics & Process Optimization.
The Business Analytics concentration within the MSIROM degree program provides a strong foundation in data analytics by bringing together knowledge from applied statistics, applied mathematics, computer science, optimization, consumer behaviour, risk management, operations research and decision theory. Students will use this training to solve real problems in finance, marketing, accounting, and scientific applications. Students will also complete a Business Intelligence Capstone class, which includes an industry-sponsored project that incorporates the benefits of an internship and case competition.
The Master of Science in Business Analytics (MS BA) degree requires a minimum of 36 semester credit hours, consisting of a set of core courses, and a set of analytics electives organized into different tracks. The core courses provide a broad and strong foundation in the business analytics area. The core covers statistics and econometrics, predictive modelling, decision and optimization (prescriptive) modelling, and data management. The analytics electives provide students with an opportunity to obtain in-depth analytics knowledge in a specific domain/industry.
The Data Science Certificate helps develop computer science, mathematics and analytical skills in the context of practical application needed to enter the field of data science. Discover how to use data science techniques to analyse and extract meaning from extremely large data sets, or “big data.” Become familiar with relational and non-relational databases as well as the strengths and weaknesses of database systems in an analytics context. Apply statistics, machine learning, text retrieval and natural language processing to analyse data and interpret results. Practice using these tools and techniques on data sets of increasing complexity and scale. Understand how to apply data science to real-life scenarios.
Lewis University’s Master of Science in Data Science degree program is designed to provide you a heightened mathematical and computer science skillset to address the issues surrounding the analysis of big data. The 36 credit hour program offers also provides you with skills in data mining, data visualization, predictive analysis and data management.
The online UW Master of Science in Data Science is a smart choice for busy adults who want to advance their careers—or start a whole new career—but don’t have time for on-campus courses. This data science master’s program will teach you how to harness the power of big data using the latest tools and analytical methods. Courses are taught by diverse and distinguished faculty from across the University of Wisconsin System. Tuition for the 2015/16 academic year is a flat fee of $825 per credit, $29,700 total tuition, whether you live in Wisconsin or out of state, and financial aid is available for students who quality.