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Plan of Study – Business Analytics

Note: A Semester Hour (s.h.) is a unit of academic credit representing an hour of class (such as lecture class) or three hours of laboratory work each week for an academic semester. Most courses are two, three or four semester hours.

Business Analytics: Bach Sci

Business Analytics: Bachelor of Science

Major Courses (Minimum number of 36 semester hours required.)
Study of the law and the legal process as it relates to business and society. Emphasis on the law of contracts, sales under the UCC, negotiable instruments, secured transactions, and agency. Basic concepts of the law of crimes and torts, including product liability, are covered. Prerequisite: MKT 2440 and MGT 2360.
Interactive course that develops the necessary skills that students need to achieve their career goals. Students will develop a networking strategy, interviewing skills, and resume and cover letter writing. Students will evaluate and negotiate a job offer, along with developing job search techniques, and how to ask for references and recommendations.
A conceptual course focused on the social and ethical issues facing business. Approaches to processes that foster ethical decision-making in today's complex global business environment are examined. A variety of means, including case studies, are used to examine such topics as corporate social responsibility, global citizenship, ethical corporate culture, working conditions, environmental impact issues, and codes of conduct. Prerequisites: MKT 2440, MGT 2360; junior standing.
Internships are experiential learning activities designed to provide students with opportunities to make connections between the theory and practice of academic study and the practical application of that study in a professional work environment. The internship provides an opportunity to build professional networks and to explore career interests. Students must complete a minimum of 180 hours of professional work related to their major or concentration. Prerequisites: Student must complete nine semester hours within their major or concentration and BUS 2020.
Study of the management of the financial affairs of a business enterprise in respect to planning and analysis of the financial decision making function. Topics include: time value of money, working capital management, leverage, ratio analysis, capital budgeting, capital structure decisions, dividend policy, and international financial management. Prerequisites: ACC 2020 and ECN 2720.
An introductory course in world trade, global economics, international management and other related topics. The focus will be on the expected changes to U.S. business. Prerequisite: ECN 295, 296; ECN 102, ACC 212, CIS 180
The value of information technology to business and the contribution technology can make to the strategic goals of an organization. Technical foundation concepts such as networks, hardware, and software. Case studies are used to illustrate concepts. Hands-on exercises using industry-standard software are included.
Study of social media networks and other media as they pertain to promotion, digital and mobile marketing, and the organization’s integrated marketing communications strategy. Topics include: the characteristics of social, broadcast, electronic and outside media; viral marketing; digital marketing; mobile marketing; message creation for various media; evaluating message and media effectiveness; and the creation of an integrated marketing communications campaign. Prerequisite: MKT 2440.
Students will learn the basic concepts of data inference and analysis using actual data and will be able to analyze large data sets and present their findings. Prerequisite: QS 2500
Exploration of how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning, and the applications of Big Data. Prerequisite: QS 2500.
Students learn how to use the most common business analytics tools, and build foundational skills in SQL and Tableau to extract, analyze, and visualize data. Content includes database design, hypothesis testing, and big data nuances. Prerequisites: QS 2610, MTH 2350.
Students use spreadsheets for more advanced analyses and data manipulations. Learning Python programming will help students solve a wider range of data problems by expanding their data analytics toolbox. Predictive models are also introduced in this class. Prerequisites: QS 3300
Fundamentals of operations and supply chain management. Introduces students to the major concepts, tools, and processes of operations and supply chain management and their impact on financial performance. Students learn how to create value in organizations through efficient local and global operations and supply chain management. Prerequisites: MGT 2360 and MTH 2350.

Required Business Foundation Courses

BUS Foundation Courses (Minimum number of 15 semester hours required.)
An introduction to the theory and concepts of financial accounting, including generally accepted accounting principles and issues as to classification, recognition, realization, measurement, and reporting. Emphasis on the accounting process, including preparation of basic financial statements and the accounting for and analysis of transactions affecting assets, selected liabilities, and equity. Prerequisite: MTH 1050 or equivalent.
An expanded study of accounting with emphasis on parterniships and corporate accounting. Topics include capital acquisitions, equity accounting, analysis and interpretation of financial statements, and cash flow analysis. Prerequisites: ACC 211
Capstone course; students bring to bear all the experience of their study in aspects of accounting, business administration, finance, economics, international business, legal environment of business, quantitative systems, and management information systems through developmental exercises and practice. Three major components comprise the course: the strategic analysis of an organization; strategic decision making utilizing a simulation, and completion of the Comprehensive Business Exam. Senior standing; to be taken the last semester prior to graduation (fall or winter only).
Study of marketing concepts, terminology, and applications, with special emphasis on the marketing mix relationships: e.g., product, price, promotion, and distribution. Introduction to the role and operation of marketing functions and their respective influence on the organization, both internally and externally.
Explores the foundations of data analytics and the major concepts of descriptive, predictive, and prescriptive analytics in business organizations. Introduces and compares various types of data analytics models and methods, and explores the impact of data analytics on the creation of new initiatives, complex problem solving, and improving an organization’s competitive advantage. Students have some hands-on experience in the use of a data analytics tool and its application to business problem solving. Prerequisite: MTH 2350.

Required Support Courses

Support Courses (Minimum number of 17 semester hours required.)
Theories of production and cost, demand, supply, competition, consumer behavior, and distribution of income. Prerequisite: MTH 1050.
Measurement and determination of economic activity and development, aggregate income, and employment. Emphasis on consumption, monetary policy, taxes, government, investment, and expenditures. Prerequisite: MTH 1050.
An introduction to the nature and principles of management; history, theories, practices, problems, and techniques; characteristics and qualities of managers; contemporary trends in management thought and practice.
Topics include linear and nonlinear systems of equations, complex numbers, analyzing polynomial, rational, exponential and logarithmic functions, sequences and series, and counting principles; applications and problem-solving. Prerequisite: MTH 1040 or placement based on the mathematics sub-score of the SAT/ACT standardized test or departmental placement exam. This course does not apply toward a mathematics major or minor.
Topics include data collection and graphic presentation; measures of central tendency; measures of dispersion; normal and binomial distributions; regression and correlation; sampling methods; design of experiments; probability and simulation; sampling distributions; statistical inference including confidence intervals and hypothesis testing for one-sample and two-sample problems; chi-square distribution and test of significance; ANOVA. Prerequisite: MTH 1040 or placement based on the mathematics sub-score of the SAT/ACT standardized test or departmental placement exam.