Business Analytics

Professor(s): Greg M. Lepak, Ronald H. Wright
Associate Professor(s): George E. Kulick, Thaddeus KT Sim


Business analytics is the discipline of applying quantitative analytical models to convert data into useful information to help make better business decisions. Business analytics consists of descriptive analytics (analyzing what has happened in the past), predictive analytics (predicting what could happen in the future) and prescriptive analytics (prescribing optimal actions that will result in the best outcomes).

The business analytics major introduces students to quantitative modeling and analysis. Students learn methods and techniques in the context of diagnosing and solving problems from different disciplines of business including finance, marketing, information systems and operations. A dual major in business analytics and either finance, information systems or marketing is available for those students who wish to complement their analytical skills with focused studies in these disciplines. Classes are held in a computer lab to provide hands-on real world experience in the art of modeling and analysis.

Business Analytics Major

Beyond the introductory course, there are five required courses for the major: ANL 400 Applied Forecasting Analysis, ANL 410 Supply Chain Analysis, ANL 420 Strategic Management Analysis, ANL 430 Simulation and Risk Analysis, and a business analytics elective.

Students majoring in business analytics are required to enroll in the following courses:

Core RequirementsHours
COR 100 First Year Seminar3
WRT 101 Critical Writing3
PHL 110 Introduction to Philosophy3
HST 110 - HST 111 World Civilization6
ENG 210 Major Authors3
PHL 210 Moral Philosophy3
Theology3
EAC Encountering Another Culture/Language6
ENG 310 Literature and Culture3
Mathematics*3
Social Science*3
Natural Science*3
IDS Interdisciplinary Studies*3
Religion3
COR 400 Transformations3
Visual & Performing Arts*1
Diversity*0

* NOTE: Some Core requirements may be fulfilled by major requirements. See core section for more information. Because there have been substantial changes to the core curriculum, the above requirements may not apply to all students; for students who entered Le Moyne College prior to Fall 2013, be sure to consult with your advisor for appropriate course selection(s).

Business Analytics Major

Major RequirementsHours
ANL 400 Applied Forecasting Analysis 3
ANL 410 Supply Chain Analysis 3
ANL 420 Strategic Management Analysis 3
ANL 430 Simulation and Risk Analysis 3
ANL Elective 3
ElectivesHours
Liberal Arts Electives 6
Electives 12
Management Core RequirementsHours
STA 201 Statistics I 3
STA 202 Statistics II 3
ACT 203 Financial Accounting 3
ACT 204 Managerial Accounting 3
LAW 200 Legal Environment of Business 3
MIS 201 Intro Mgmt Info Systems 3
MKT 301 Principles of Marketing 3
ANL 301 Business Analytics 3
FIN 301 Managerial Finance 3
MGT 301 Intro to Organization & Mgmt 3
BUS 470 Business Policy 3
ECO 113 Principles of Microeconomics 3
ECO 114 Principles of Macroeconomics 3

Typical Program for Business Analytics Major

First SemesterHoursSecond SemesterHours
Freshman Year
STA 2013 Mathematics3
WRT 1013 STA 2023
HST 1103 PHL 1103
COR 1003 Natural Science3
BUS 1503 HST 1113
Sophomore Year
ACT 2033 ACT 2043
ANL 3013 MKT 3013
ECO 1133 ECO 1143
ENG 2103 MIS 2013
Theology3 PHL 2103
Junior Year
FIN 3013 ANL 4103
ANL 400/4303 MGT 3013
LAW 2003 Elective3
ENG 3103 EAC3
IDS3 Liberal Arts Elective3
Senior Year
ANL 400/4303 ANL 4203
ANL Elective3 BUS 4703
Liberal Arts Elective3 Elective3
Elective3 Elective3
Religion3 COR 400A3

Business Analytics Dual Majors

Because of the interdisciplinary nature of the major, many students combine the business analytics major with a second major, specifically marketing, finance or information systems. Some of the required courses in the business analytics major can count toward the requirements of the marketing, finance and information systems major and vice versa.

Business analytics majors interested in pursuing a dual major in marketing need to complete the following courses: ANL 400, ANL 410 (which will count as a marketing elective), ANL 420 and ANL 430; and, additionally, complete the following marketing courses: MKT 401, MKT 402 and two additional MKT electives (one of which will also count as a business analytics elective).

Business analytics majors pursuing a dual major in finance need to complete the following courses: ANL 400, ANL 410, ANL 420, ANL 430 (which will count as a finance elective) and, additionally, complete the following finance courses: FIN 365 (which will also count as a business analytics elective), FIN 401, and one additional FIN elective.

Business analytics majors pursuing a dual major in information systems need to take the following courses: ANL 400, ANL 410 (which will count as an information systems elective), ANL 420 and ANL 430; and, additionally, complete MIS 455 and three information systems courses, (one of which will count as a business analytics elective). MIS 375, MIS 395, MIS 415 and MIS 480 are recommended.

Business Analytics Minor

Students from any major who are interested in pursuing a minor in business analytics need to complete the following courses: STA 201, STA 202, ANL 301, and any three 400-level ANL courses. Students who have completed equivalent course work in statistics (e.g., MTH 110, MTH 111, MTH 112) may have the corresponding STA courses waived.

Courses


ANL 301 . Business Analytics (3).

This course introduces quantitative modeling and analysis. The course includes applications from different disciplines of business including finance, marketing, information systems, and operations. The course focuses on diagnosing and solving business problems based on quantitative analysis. Modeling methods and techniques are introduced in the context of specific business situations. These techniques include forecasting, optimization, project management, supply chain management and planning, and system simulation. Prerequisite: STA 201.

ANL 400 . Applied Forecasting Analysis (3).

This course provides techniques for the parsimonious description of univariate and multivariate time-ordered data. Various models are discussed, including Box-Jenkins models, for purposes of inference, estimation, and prediction. Techniques of analysis are illustrated using actual data sets with emphasis on using the computer as an exploratory tool. Prerequisite: STA 202 and ANL 301, or permission of instructor.

ANL 410 . Supply Chain Analysis (3).

Industrial supply chains are integral part of contemporary business practices. This course will examine key issues related to the design and management of supply chains, It will include discussions on the integration of various parts of the supply chain including suppliers, factories, distribution centers, warehouses and retailers. Theories related to the efficient distribution of products to customers will be introduced. Also, management techniques addressing tradeoffs between cost and service will be discussed. Much of the course concepts will be covered through case studies and simulations. Prerequisites: STA 202 and ANL 301.

ANL 420 . Strategic Management Analysis (3).

Management science analyses are the basis of many successful strategic decisions. This course introduces many of the management science techniques in the context of strategic decision making. These techniques include linear programming, transportation, decision theory, queuing theory, and simulation. The course entails analyzing cases from all business disciplines and evaluating various strategic decisions within the framework of these cases. Prerequisites: STA 202 and ANL 301.

ANL 430 . Simulation and Risk Analysis (3).

This course is designed to provide students with basic understanding of concepts of simulation and provide them the opportunity to design several simulations for various applications (including fun and games). Methodologies are introduced in the context of financial and operations applications and include techniques for risk analysis. Models will include both event and process simulations. Simulation software packages are introduced as tools for problem solving. Prerequisites: STA 202 and ANL 301.

ANL 481-489 . Special Topics in Business Analytics (3).

Courses in this series offer an in-depth exploration of specific issues within the field of business analytics, as well as topics of current interest to instructors and students. Prerequisites: junior or senior standing or permission of the instructor.

STA 201 . Statistics I (3).

These courses investigate the use of statistical methods in the process of optimizing decisions under uncertainty. Applications in the first semester involve the use of such statistical topics as descriptive statistics, frequency distribution, measures of central tendency and dispersion, probability and sampling theory. The second semester incorporates applications of analysis of variance, regression and correlation analysis, statistical decision making, Bayesian statistical decision making and value theory. Second semester presupposes the first.

STA 202 . Statistics II (3).

These courses investigate the use of statistical methods in the process of optimizing decisions under uncertainty. Applications in the first semester involve the use of such statistical topics as descriptive statistics, frequency distribution, measures of central tendency and dispersion, probability and sampling theory. The second semester incorporates applications of analysis of variance, regression and correlation analysis, statistical decision making, Bayesian statistical decision making and value theory. Second semester presupposes the first.

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