MSAN 501-503 Analytics Boot Camp (Summer III – early July through mid August)
A six-week intensive in three boot camps (computational, applied math and economics) with exposure to modern statistical packages, SQL, R and Python, review of probability and statistics, linear algebra, linear regression, and review of basic micro and macroeconomics, including pricing and demand, uncertainty and consumer modeling.
MSAN 601 Analytical Methods I (2)
Mathematical techniques for analytics, including time series analysis, regression methods, problem-solving.
MSAN 602 Computational Analytics I (2)
Data mining, including classification and association. Rules, trees, and classifiers. Clustering. Data cleaning. Use of relational and non-relational (NoSQL) data stores.
MSAN 603 Management Science (2)
Application of basic analytical methods to business problems. Topics include market basket analysis, management science, optimization and satisficing techniques, survey design.
MSAN 604 Analytics for Finance and Econometrics I (2)
Application of analytical techniques to economic models. Topics include econometrics, risk analysis, forecasting, and portfolio theory.
MSAN 605 Practicum I (4)
Provides both skills and experience in working with clients and opportunities to practice the professional skills required by business. The course features frequent presentations by program partners about real analytical problems and how they are addressed. The course features significant one-on-one mentoring and integration of topics presented in program’s courses.
MSAN 611 Intensive Project (2). During winter intersession (January), students work in small teams on a real-world project for a client. The team project takes a real-world data set and a set of client concerns, performs a comprehensive analysis, and prepares a business report, presentation and plan for the client.
MSAN 621 Computational Analytics II (2)
Topics include: advanced data mining, text mining, modeling of problems for hadoop/MapReduce, network analysis, managing large data sets.
MSAN 622 Experimental Design and Visualization (2)
Presentation of complex visual data, including multivariate data, geospatial data, textual data, networks and graphs, and design principles.
MSAN 623 Analytical Methods II (2)
Topics include: advanced regression methods, nonparametric and order statistics, and error analysis. Heavy emphasis on problem solving and application of techniques to real data sets in a specific domain.
MSAN 624 Marketing Science (2)
Topics include: survival analysis, longitudinal data analysis, simulation, anomaly detection. These topics will be applied to specific real-world problems using marketing data.
MSAN 625 Practicum II (4)
Students are placed with a client as part of a semester-long project with weekly deliverables and meetings. Continued mentoring and development of professional business skills are also provided.
MSAN 631 Applications of Analytics (2) (Summer II)
Topics include GIS, sports analytics, web mining, log mining, social networks, data integration.
MSAN 632 Practicum III (4) (Summer II)
Continuation of Practicum. Students also receive “soft skills” training in creating their CV, interviewing and networking, and study of the venture capital and startup process.
