课程安排
Master of Science in Business Analytics 2 - Require Professional Development & Career Workshops:
MGMT 7770 Prof. Development Workshop 1/Career Workshops
The PDW sequence is esigne to evelop the professional skills of stuents in the MS Programs that are neee to be a successful contributor in a business setting. PDW I follows a framework of Leaership, Followership, an Membership in a professional community. Stuents will gain practical experience through exposure to experts in specific skill areas, role-play an practice sessions, an exercise completions. The fall semester concentrates on iniviual skills evelopment in presentation, communication an networking. Aitionally, membership in one’s professional community will be emphasize through engagement in two activities specific to the stuent’s MS Program. Builing on the skills an abilities obtaine earlier in your career, this PDW is geare towar a higher level of professionalism inherent in a successful business environment.
MGMT 7780 Prof. Development Workshop 2/Career Workshops
The PDW sequence is esigne to evelop the professional skills of stuents in the MS Programs that are neee to be a successful contributor in a business setting. The PDW II will continue to follow a framework of Leaership, Followership an Membership in a professional community. Stuents will gain practical experience through exposure to experts in specific skill areas, role-play an practice sessions, an exercise completions. The secon semester emphasizes eveloping influence skills, unerstaning an shaping group ynamics, an navigating organizational politics. Aitionally, membership in one’s professional community will be emphasize through engagement in four hours of activities specific to the stuent’s M.S. program.
3 - Require Business Core:
MGMT 6100 Statistics for Managerial Decision Making
- Can be waive through waiver test. Must be replace with Avance Statistics or analytics class, such as CSCI 6360, ECON 6570, or ISYE 6961. *
This course evelops an unerstaning of concepts in business statistics an focuses on application of concepts in problem-solving situations. In particular, stuents learn to present an escribe ata, analyze probability istributions, make statistical inferences base on ata samples, an evelop basic moels for preiction an forecasting.
MGMT 6190 Introuction to Accounting an Financial Management
* Can be waive an replace with avance finance such as MGMT6020, MGMT
6510, MGMT 6520, MGMT7760 or an avance management class by approval. *
This course introuces accounting an financial management to first-semester M.S. stuents. The interpretation an preparation of basic financial statements such as the balance sheet an income statement are introuce along with relevant regulation an practice. In aition, the course introuces the stuent to basic financial concepts an techniques such as time value, risk, equilibrium asset pricing moels, capital bugeting, cost of capital, an capital structure an iscusses their applications in practice.
MGMT 6140 Information Systems for Management
Analyzes the use of information an communications technology to improve performance an to achieve organizational goals. Examines information systems in sales, marketing, finance, an operations. Provies a framework for unerstaning an evaluating IS contributions to prouct services an managerial effectiveness. Focuses upon implementation of information technology as a strategic weapon for prouctivity an competitive avantage. Lectures, case iscussion, projects, an technical supplements.
5 – Require Analytics Core:
MGMT 6560 Technology Funamentals for Analytics
The wiesprea proliferation of IT-influence economic activity leaves behin a rich trail of micro-level ata, enabling organizations to use analytics an experimentation in both strategy an operations. This course provies a hans-on introuction to the concepts, methos an processes of business analytics. Stuents will learn how to obtain ata an raw business inferences from ata by asking the right questions an using the appropriate tools.
MGMT 6460 Avance Quantitative Methos for Business
This course is esigne to provie the stuent with an unerstaning of how quantitative moels, methos, algorithms, an computational techniques can be use to solve both services an manufacturing enterprise problems. Stuents will investigate how to apply optimization methos using a hans-on implementation approach.
MGMT 6570 Avance Data Resource Management
The primary objective of this course is to introuce the multifacete role of ata as a resource of the organization, in three ways. First, it examines the role of ata at the operational, tactical, an strategic levels of the organization. Secon, it provies stuents with knowlege an hans on training of technologies that manipulate ata, incluing structure query language (SQL), extraction transformation an loaing tools (ETL), ata warehousing (DW), online analytical processing (OLAP), an ata mining (DM). The course exposes stuents to big ata management techniques. Finally, the course provies stuents the theory an hans on training to unerstan the transformation of ata to information.
MGMT 6790 Business Analytics Capstone
This course provies stuents with an opportunity to work on real business analytics problems with a company. Stuents work in small consultant teams with a client an aviser(s) to evelop solutions that will be put to use by the client to achieve significant business benefits. Stuent teams evelop their analysis an recommenations an complete the project with the elivery of a final report an presentation to the client senior management.
An one of the three following classes (you can still take the other two as electives): CSCI 6390 Data Mining This course will provie an introuctory survey of the main topics in ata mining an knowlege iscovery in atabases (KDD), incluing classification, clustering, association rules, sequence mining, similarity search, eviation etection, an so on. Emphasis will be on the algorithmic an system issues in KDD, as well as on applications such as Web mining, multimeia mining, bioinformatics, geographical information systems, etc. Stuents cannot receive creit for both CSCI 4390 an CSCI 6390.
MGMT 6160 Applie Analytics an Preictive Moeling
Business analytics enables organizations to leverage large volumes of ata in orer to make more informe ecisions. It encompasses a range of approaches to integrating, organizing, an applying ata in various settings. This course evelops an unerstaning of concepts in business analytics an ata manipulation. In particular, through hans-on experience with a range of techniques stuents will learn to work with large ata sets, analyze trens an segments an evelop moels for preiction an forecasting. This course is part of the Masters program in Business Analytics an buils on founations learne in the Fall semester.
ITWS 6600 Data Analytics
The worl at-large is confronte with increasingly larger an complex sets of structure/unstructure information; from cyber an human sources. Traitional enterprises are moving towar analytics-riven approaches for core business functions. Data an information analytics extens analysis (escriptive moels of ata) by using ata mining an machine learning methos, with optimization an valiation, to recommen action or guie an communicate ecision-making. Thus, analytics is an entire methoology rather then iniviual analyses or analysis steps.
2 Electives: Fall Courses
CSCI 6100 Machine Learning from Data
Introuction to the theory, algorithms, an applications of machine learning (supervise, reinforcement, an unsupervise) from ata: What is learning? Is learning feasible? How can we o it? How can we o it well? The course offers a mix of theory, technique, an application with aitional selecte topics chosen from Pattern Recognition, Decision Trees, Neural Networks, RBF’s, Bayesian Learning, PAC Learning, Support Vector Machines, Gaussian processes, an Hien Markov Moels. Stuents cannot receive creit for both CSCI 4100 an CSCI 6100.
CSCI 6250 Frontiers of Network Science
This course will offer an introuction to network science an a review of current research in this area. Classes will interchangeably present chapters from the textbook an relate current research. The emphasis will be on the mathematical backgroun of network science: graphs an networks; ranom networks an various types of scale-free networks; network properties such as assortativity, mobility, robustness, social networks, an communities; an ynamics of spreaing in networks. Stuents cannot receive creit for both CSCI 4250 an CSCI 6250.
CSCI 6390 Data Mining
This course will provie an introuctory survey of the main topics in ata mining an knowlege iscovery in atabases (KDD), incluing classification, clustering, association rules, sequence mining, similarity search, eviation etection, an so on. Emphasis will be on the algorithmic an system issues in KDD, as well as on applications such as Web mining, multimeia mining, bioinformatics, geographical information systems, etc. Stuents cannot receive creit for both CSCI 4390 an CSCI 6390.
CSCI 6962 Natural Language Processing
This course will introuce state-of-the-art Natural Language Processing (NLP) methos in the last ecae. The instructor will cover 15 popular research topics, an select the best-cite an most up-to-ate papers for each topic, along with some popular machine learning methos for NLP. The instructor will present a eep survey for each topic. In aition, some practical experiments (implementation of a metho or applying some machine learning toolkits to solve a problem) will be conucte base on a series of powerful platforms an techniques. The assignments will involve linguistics, math, an careful thinking. At the en of the course each stuent shoul be able to gain enough backgroun to unerstan the funamental NLP techniques.
ISYE 6961 Data Analytics Research Lab
This course focuses on applie ata analytics research on real-worl open
problems. Stuents will conuct a semester long, team base, hans-on ata analytics project. A ata set will be selecte at the start of the semester from a collection of projects supplie by on- an/or off-campus clients. The client will provie project an ata set backgroun an assist in objective setting. Alternatively, a stuent an/or team may bring a ata set an problem with them. This is expecte to be useful for grauate stuents with their avisor an/or research collaborators being the clients. Stuents will actively engage in the process of transforming knowlege to ata, gaining experience applying ata analytic methos learne in prior courses. Stuents will also be instructe in the process of project objective setting, planning, an management. They will conuct their project base on goals agree upon with the project client, an a workflow they evelop to attain these goals. Stuents will be guie via classroom emonstrations an iniviualize team coaching by the instructors in the employment of visualization, analytics an moeling methos. The emonstrations will be one in the R ata analytics environment an will involve the use of R routines, external packages, script builing an the use of pre-built scripts provie by the instructors. An R ‘boot camp’ will be hel at the beginning of the semester to get those unfamiliar with the environment starte. Stuents will be encourage to use R, but this will not be require.
ECON 6560 Introuction to Econometrics - Mon. & Thurs. 12-1:50pm
This course is an introuction to econometric ata analysis. The statistical methos covere enable analysis of relationships between variables in ata, with special attention to ientification of true causal effects. Topics covere inclue linear an simple nonlinear regression moels, internal an external valiity, methos for panel ata an binary epenent variables, instrumental variables methos, use of experimental an quasi- experimental ata, an basic time series methos. The course inclues hans-on ata analysis an report writing.
MGMT 7030 Strategy, Technology an Competition - Fri. 3-5:50pm
This course covers the funamentals of business an corporate strategy, integrating these concepts into an environment of technological change, competition, an entrepreneurship. The course inclues the following areas of emphasis: concepts of strategy, inustry environment, resources an capabilities of the firm, organization an systems of the firm, the ynamics of competitive avantage, strategic alternative analysis, an strategies in ifferent contexts. The course uses business cases an a project to enrich the theoretical concepts.
STSS 4962 Critical Data Mapping MGMT 6020 Financial Management I
The purpose of this course is to evelop a working unerstaning of the major investment an financial ecisions of the firm. Emphasis will be place upon ientifying an solving the problems commonly face by financial managers. The course presents the neee theory an evelops financial problem solving skills through iniviualize problem solving, structure case analysis, an inustry an company analysis using Internet sources.
MGMT6510 Financial Computation
This course introuces computational techniques for financial analysis, with foci on risk, heging an portfolio techniques, fixe income instruments, an erivatives analysis. The course covers computational techniques for portfolio optimization, plain vanilla an exotic erivatives valuation an replication, along with interest rate an fixe income instruments. This course will introuce numerical analysis, interpolation, Monte Carlo an finite ifference methos, lattices, linear an ynamic programming, optimization an MATLAB, all in a financial computational context.
MGMT 6520 Financial Moeling
This course introuces quantitative analysis for financial markets an instruments. The course covers applications of linear math to heging an valuation, applications of calculus to valuation an risk analysis, introuces ifferential equations an their applications to heging an valuation an introuces stochastic processes in a financial markets context. Course coverage will also exten to portfolio analysis an stanar equilibrium asset pricing moels.
MGMT 7760 Risk Management - Thurs. 6-8:50pm
Overview of risk management an the concept an measurement of risk; types of risks (market, creit, liquiity, operational, business, strategic). Concepts, tools, an instruments available for risk management. Specific issues relate with managing specific risk types — market, creit, interest rates, liquiity, risk an operational risk. Securitization, asset-liability management. Concepts unerlying insurance an role of insurance for risk management.
Spring Courses
CSCI 6370 Data an Society
Data an Society provies a broa overview of how society is leveraging an responing to the social, organizational, policy, an technical opportunities an challenges of a>5 innovation, an ata an the broaer community. Data an Society is a communication- intensive course. Assignments buil writing, presentation, an critical thinking an assessment skills, all of which are important for professional success. This is a communication-intensive course.
ITWS 6600 Data Analytics
The worl at-large is confronte with increasingly larger an complex sets of structure/unstructure information; from cyber an human sources. Traitional enterprises are moving towar analytics-riven approaches for core business functions. Data an information analytics extens analysis (escriptive moels of ata) by using ata mining an machine learning methos, with optimization an valiation, to recommen action or guie an communicate ecision-making. Thus, analytics is an entire methoology rather then iniviual analyses or analysis steps
MGMT 6160 Applie Analytics an Preictive Moeling
Business analytics enables organizations to leverage large volumes of ata in orer to make more informe ecisions. It encompasses a range of approaches to integrating, organizing, an applying ata in various settings. This course evelops an unerstaning of concepts in business analytics an ata manipulation. In particular, through hans-on experience with a range of techniques stuents will learn to work with large ata sets, analyze trens an segments an evelop moels for preiction an forecasting. This course is part of the Masters program in Business Analytics an buils on founations learne in the Fall semester.
MGMT 7760 Risk Management
Overview of risk management an the concept an measurement of risk; types of risks (market, creit, liquiity, operational, business, strategic). Concepts, tools, an instruments available for risk management. Specific issues relate with managing specific risk types — market, creit, interest-rates, liquiity, risk an operational risk. Securitization, asset-liability management. Concepts unerlying insurance an role of insurance for risk management.
MGMT 6400 Financial Econometric Moeling
This course aresses financial moeling as an empirical activity. Several key issues an assumptions of finance are aresse through empirical moeling. Topics may inclue asset pricing, event stuies, exchange rate movements, term structure of interest rates, an international linkages among financial markets. Computers are use extensively both in an out of class.
MGMT 6350 Supply Chain Analytics
This is a hans on course where stuents learn a mix of theoretical an practical tools an use them to solve a variety of supply chain problems, both analytically an numerically. Time series, Markov chain, optimal control, linear programming, statistical analysis, an other mathematical tools are use to examine ata to unerstan supply, eman an inventory levels an evelop insights for managerial recommenations.
MGMT 6720 Internet Marketing
Technology is a vital link in how moern corporations ientify, acquire, transact with, an keep their customers. This course provies an introuction to both the technology infrastructure most relevant to the customer relationship as well as marketing issues that result from the application of computers an communication networks. Topics inclue issues relate to social meia, search, online avertising, blogging, customer relationship management, online market segmentation, an marketing of IT proucts.
MGMT 6962 Marketing Analytics
With the evelopment of technology, the amount of available information that can help organizations make ecisions grows exponentially over the past ecaes. These information coul be structure ata such as online transaction ata or highly unstructure ata such as blogs, tweets an vieo clips. With the abunant ata, firms can extract customer purchasing pattern, ientify potential market an forecast sales trens, gain competitive avantage an create substantial value for the company. This class introuces some funamental statistical moels which are very effective in explaining an preicting marketing patterns using new forms of information emerging from the technology avances. These moels can significantly improve the ecisions by practitioners as they also offer intuitively souns escriptions on various observe ata patterns. Meanwhile, as more an more firms aopt sophisticate toolkit to conuct business analysis (Excel toolkit, SPSS an etc.), unerstaning these statistical moels can become an essential part of regular business. The contents we covere in this course will be helpful for managers to get the greatest business value in toay’s ata intensive business environment. We will also apply these statistical moels to real marketing problems using real marketing ata. Stuents are expecte to finish a final project by applying techniques covere in this class on a real worl ataset. This is because the core of eveloping the quantitative skills in this class is through hans-on exercises. This project is esigne to enhance stuents’ unerstaning of the concepts introuce in this class, an to allow stuents to have the opportunity to absorb the skills rather than just get expose to them.
MGMT 6020 Financial Management I
The purpose of this course is to evelop a working unerstaning of the major investment an financial ecisions of the firm. Emphasis will be place upon ientifying an solving the problems commonly face by financial managers. The course presents the neee theory an evelops financial problem solving skills through iniviualize problem solving, structure case analysis, an inustry an company analysis using Internet sources.
Summer Courses
COMM 6880 Interactive Data Visualization MGMT 7030 Strategy, Technology an Competition
This course covers the funamentals of business an corporate strategy, integrating these concepts into an environment of technological change, competition, an entrepreneurship. The course inclues the following areas of emphasis: concepts of strategy, inustry environment, resources an capabilities of the firm, organization an systems of the firm, the ynamics of competitive avantage, strategic alternative analysis, an strategies in ifferent contexts. The course uses business cases an a project to enrich the theoretical concepts.
