BUSINESS ANALYTICS CORE

Take the following courses:

EB-100  Introduction to Management

This course develops an understanding of management principles in the areas of planning, organizing, staffing and control, including but not limited to the aspects of strategy, legal environment, operation/supply chain management.

3 CreditsS

EB-131  Financial Accounting

Introduces fundamental principles and assumptions of accounting as they relate to transaction analysis and basic financial statements.

3 CreditsS

EB-202  Behavioral Analysis of Organizations

The broad focus of the course is to examine how individuals come together to form a successful organization. The course is broken into three major sections: people, organizations, and leadership. The course emphasizes student involvement and engages students in a variety of in-class exercises, case analysis role playing exercises, small group exercises, and an off-campus class experience or two. One or more off-campus experiences are required for the course. 

4 CreditsCW,S,WK-SIPrerequisite: Sophomore standing.

EB-222  Principles of Macroeconomics

Macroeconomic conditions affect individuals and businesses in numerous ways: employment opportunities, the purchasing power of wages and salaries, the cost of borrowing money, sales, profits, and competitiveness against foreign businesses. This course develops the theories relevant to understanding the business cycle, inflation, unemployment, deflation, exchange rates and balance of payments problems. It also examines the options and tradeoffs governments face as they seek to provide a stable macroeconomic environment through monetary and fiscal policies. Case studies of the macroeconomic performance and policies of diverse countries provide a comparative orientation. 

3 CreditsSPrerequisites: Sophomore, Junior, or Senior standing 

EB-236  Managerial Accounting

Emphasizes accounting concepts for the internal use of management in planning and control. Course focuses on spreadsheet applications to analyze management policies. 

3 CreditsS,QM,CWPrerequisite: EB131. 

EB-351  Marketing Management

Analyzes consumer behavior leading to selection of product as well as pricing, promotion and distribution strategies. Research projects help students apply concepts to the complexities of decision making in marketing. 

3 CreditsSPrerequisite: EB201. 

EB-480  Senior Seminar

A capstone course for POE in Business. Through the use of readings, case studies and simulations, students in the course will formulate corporate strategy and implement it in a competitive environment. How firms may gain and sustain competitive advantage with the formulated strategy will be examined. In addition, students will also be trained to craft business reports on corporate strategies. The evaluation of performance will mainly depend on the content and the quality of the business reports.

3 CreditsS 

ESS-230 Environmetrics

This course is a survey of the various visual, statistical, and modeling approaches commonly used in the analysis of environmental data. The course covers: (1) visual literacy from exploratory data inquisition to poster creation; (2) elementary group comparison such as t-test and ANOVA and their non-parametric analogs;(3) basic systems modeling; and (4) regression modeling techniques based on the generalized linear model framework.

3 CreditsN, QS, CTGES, CTGISPrerequisites: Sophomore standing and permission of the instructor.

CS-110  Computer Science I

An introductory study of computer science software development concepts. Python is used to introduce a disciplined approach to problem solving methods, algorithm development, software design, coding, debugging, testing, and documentation in the object oriented paradigm. This is the first course in the study of computer science. 

3 CreditsN,CTGES,CTGISRecommended programming experience or IT110 or IT100, IT111 or IM110 or MA103 but not necessary. 

CS-370  Database Management Systems

Focuses on concepts and structures necessary to design and implement a database management system. Various modern data models, data security and integrity, and concurrency are discussed. An SQL database system is designed and implemented as a group project. 

3 CreditsN,CTGISPrerequisites: CS110. 

DS-110  Intro to Data Science

This course introduces the student to the emerging field of data science through the presentation of basic math and statistics principles, an introduction to the computer tools and software commonly used to perform the data analytics, and a general overview of the machine learning techniques commonly applied to datasets for knowledge discovery. The students will identify a dataset for a final project that will require them to perform preparation, cleaning, simple visualization and analysis of the data with such tools as Excel and R. Understanding the varied nature of data, their acquisition and preliminary analysis provides the requisite skills to succeed in further study and application of the data science field. Prerequisite: comfort with pre-calculus topics and use of computers.

3 CreditsN 

IM-242  Info Visualization

This course considers the various aspects of presenting digital information for public consumption visually. Data formats from binary, text, various file types, to relational databases and web sites are covered to understand the framework of information retrieval for use in visualization tools. Visualization and graphical analyses of data are considered in the context of the human visual system for appropriate information presentation. Various open-source and commercial digital tools are considered for development of visualization projects. 

3 CreditsN,CTDH,CTGESPrerequisite: IT 110, IT 111, IM 110, DS 110, or CS 110 or permission. 


INTRODUCTORY STATISTICS

Take one of the following courses below:

EB-211  Business Statistics

This course covers basic descriptive and inferential statistics, normal curve and z-score computations, and addresses hypothesis testing using Chi-Square, T-Test, ANOVA, and linear regression modelling.

3 Credits QS,S

MA-205 Elementary Statistics

Introduction to traditional statistical concepts including descriptive statistics, binomial and normal probability models, confidence intervals, tests of hypotheses, linear correlation and regression, two-way contingency tables, and one-way analysis of variance.

4 CreditsN, QS, WK-SPPrerequisite: FYC-101 or EN-110 or EN-109

MA-220 Introduction to Probability & Statistics

An introduction to the basic ideas and techniques of probability theory and to selected topics in statistics, such as sampling theory, confidence intervals, and linear regression.

4 CreditsN, QS, CTGESPrerequisite: MA130


ELECTIVES

Take four of the following courses below:

CM-200 Art of Public Speaking

Seeks to develop and improve fundamental principles and methods of selecting, organizing, developing, and communicating a line of reasoning and evidence for constructive influence in speaking situations. Students make three formal presentations, analyze messages, and improve their listening skills

3 CreditsCS, HPrerequisites: Sophomore, Junior, or Senior standing.

MA-116 Discrete Structures

Introduces mathematical structures and concepts such as functions, relations, logic, induction, counting, and graph theory. Their application to Computer Science is emphasized.

4 CreditsN, QPre-requisite high school algebra.

MA-321 Multivariate Statistics

A class in multivariate statistical techniques including non-parametric methods, multiple regression, logistic regression, multiple testing, principle analysis.

3 CreditsN, QSPrerequisites: An introductory statistics course ( MA220 or BI305 or PY214 or EB211) and linear algebra (MA 160) or Calculus 1 (MA 130).

MA-325 Statistical Consulting

The participating students will receive training during the semester in consulting on statistical problems and to assist in collaborative efforts with faculty and/or staff on client-partnered projects that are pre-determined. The semester-long project provides the student with both real work experience in the field of statistics and a project-based learning experience in partnership with the client. May be taken multiple times for credit.

3 CreditsN, QS, CW, SW-LE Prerequisite: Take one of the following:  BI-305 EB-211 ESS-230 ESS-309 MA-205 MA-220 PY-361 or SW-215. Also take FYC-101 or EN-110 or EN-109.

DS-210  Data Acquisition

Students will understand how to access various data types and sources, from flat file formats to databases to big storage data architecture. Students will perform transformations, cleaning, and merging of datasets in preparation for data mining and analysis. 

3 CreditsNPRE-REQ: CS 110 and DS 110. 

DS-352  Machine Learning

This course considers the use of machine learning (ML) and data mining (DM) algorithms for the data scientist to discover information embedded in datasets from the simple tables through complex and big data sets. Topics include ML and DM techniques such as classification, clustering, predictive and statistical modeling using tools such as R, Matlab, Weka and others. Simple visualization and data exploration will be covered in support of the DM. Software techniques implemented the emerging storage and hardware structures are introduced for handling big data. 

3 CreditsNPrerequisite: CS-110, DS-110, and an approved statistics course from this list: MA-205, MA-220, BI-305, PY-214, or EB- 211. 

DS-375  Big Data

This course considers the management and processing of large data sets, structured, semi-structured, and unstructured. The course focuses on modern, big data platforms such as Hadoop and NoSQL frameworks. Students will gain experience using a variety of programming tools and paradigms for manipulating big data sets on local servers and cloud platforms. 

3 CreditsNPrerequisites: DS 110 Intro to Data Science and CS 370 Database Management Systems 


UPPER-LEVEL CORE

Take an additional course from the EB Department at the 300/400 level.


POE Credit Total = 56-58

Students must complete at least 18 credits at the 300/400-level.  Any course exception must be approved by the advisor and/or department chair.