Department Code: MAS

Introduction

Management Science uses the ideas and methods of science, mathematics, statistics, and computing, which collectively are often referred to as Business Analytics, to help managers make better business decisions. Management Science techniques have been applied in a wide variety of areas including financial modeling, marketing research, organizational theory, transportation and logistics, health care, environmental protection, and manufacturing. Almost any decision can benefit from the methods of Management Science/Analytics.

Educational Objectives

The Department of Management Science offers a major area of specialization in Business Analytics as well as a minor in Business Analytics.. The Business Analytics curriculum is designed to give business students the necessary educational background and experience to allow them to work as successful business analytics professionals. In addition to the general education, business, and economics courses of the Bachelor of Science in Business Administration degree program, the major in Business Analytics requires a solid background in the natural sciences and mathematics. Additionally, students are required to take sequences of courses in optimization, decision science, and data analytics. A number of the courses in the Business Analytics curriculum require projects, in which the student evaluates a real-world system or process. As the system is studied and modeled, the student applies management science methods to find ways to improve the process. In such a course, written and oral presentation of findings is part of the learning and evaluation process. A major or minor area of specialization in Business Analytics is recommended to qualified students as preparation for direct entry into the field of Analytics or as preparation for future graduate studies. 

Major in Business Analytics

Minor in Business Analytics

MAS 105. Quantitative Methods in Business I. 3 Credit Hours.

This course provides a background in algebra, linear equations, matrices, quadratic, exponential, and logarithmic functions appropriate for the successful understanding, interpretation, and use of these concepts and their application to business and economics within the Business School curriculum and in career endeavors. The course also provides an introduction to the mathematics of finance, interest rates, discounting of future returns, and linear programming.
Components: LEC.
Grading: GRD.
Typically Offered: Offered by Announcement Only.

MAS 110. Quantitative Applications in Business. 3 Credit Hours.

Review of algebra emphasizing its application to supply and demand functions, market equilibrium, compound interest, and amoritization. Differential calculus emphasizing its applications to marginal cost and revenue functions, maximization, taxation in competitive markets, and elasticity of demand are discussed. The application of integral calculus to total cost and profit of demand, to total cost and profit functions, consumer's and producer's surplus, computation of present value, and constrained optimization using partial differentiation are also included.
Prerequisite: MTH 107 with a grade of C- or better. Or Requisite: ALEKS Score greater than or equal to 76.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.

MAS 201. Introduction to Business Statistics. 3 Credit Hours.

Data analysis and presentation, cross tabulations, descriptive statistical meas ures, probability, sampling, statistical inference, hypothesis testing for one and two populations, covariance and correlation analysis. Utilization of microc omputer statistical packages is also included.
Prerequisites: MAS 110 or MTH 130 or MTH 141 or MTH 151 or MTH 161 or MTH 171.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.

MAS 202. Intermediate Business Statistics. 3 Credit Hours.

Chi-squared goodness of fit tests, and contingency tables, analysis of variance , simple linear regression, multiple regresion, time series, forecasting, stati stical methods of quality. Utilization of microcomputer statistical packages, c ase analyses, and presentations are also included.
Prerequisites: MAS 201 or MAS 311 or MTH 224 or IEN 311 or PSY 204 or PSY 291 or PSY 292.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.

MAS 311. Applied Probability and Statistics. 3 Credit Hours.

Descriptive statistics, basic probability, probability distributions, distribution theory, point and interval estimation, and single sample hypothesis testing.
Prerequisites: MTH 162 or MTH 172. Or Corequisites: MTH 162 or MTH 172 including equivalents.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 312. Statistical Methods and Quality Control. 3 Credit Hours.

Two sample hypothesis testing, simple and multiple regression, analysis of variance, design of experiments, and statistical quality control.
Prerequisites: MAS 311 or IEN 311 or equivalent.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 332. Data Acquisition, Preparation and Visualization. 3 Credit Hours.


Prerequisites: MAS 202 or MAS 312.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 342. Introduction to Optimization and Decision Making. 3 Credit Hours.

Introduction to deterministic mathematical models with applications to business problems. Topics include the methodology of operations research, linea r, integer, and dynamic programming,project management, networks, multi-objecti ve optimization and heuristics. Software packages are used for programming appl ications. Lecture, 3 hours.
Prerequisite: MTH 162. Or MTH 172. And MAS 201. Or MAS 311.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 432. Data Analysis. 3 Credit Hours.


Components: LEC.
Grading: GRD.
Typically Offered: Spring.

MAS 442. Stochastic Models in Operations Research. 3 Credit Hours.

Introduction to probabilistic models and their applications. Topics include inventory theory, stochastic processes (queuing systems, Markov chains), and computer simulation. Lecture, 3 hours.
Prerequisites: MAS 311 or equivalent.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.

MAS 452. Systems Analysis Methodology and Applications. 3 Credit Hours.

Solution of problems from the general systems point of view. Case studies are used with emphasis on report writing. The preparation of a project proposal and the conduct of the proposed study are also required.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.

MAS 496. Directed Studies in Business Analytics. 1-3 Credit Hours.

Supervised readings, individual research project, or independent investigation of selected non?STEM related problems in the discipline. Offered only by special arrangement with supervising faculty member, who approves topic and evaluation process at time of registration.
Components: THI.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 497. Directed Studies in Business Analytics. 1-3 Credit Hours.

Supervised readings, individual research project or independent investigation of selected STEM?related problems in the discipline. Offered only by special arrangement with supervising faculty member, who approves topic and evaluation process at time of registration.
Components: THI.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 498. Special Topics in Business Analytics. 3 Credit Hours.

Special topics in selected non?STEM areas of [the department name].
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 499. Special Topics in Business Analytics. 3 Credit Hours.

Special topics in selected STEM areas of [the department name].
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.

MAS 547. Computer Simulation Systems. 3 Credit Hours.

Introduction to discrete-event computer simulation and hands-on development of simulation models. Topics include introduction to queuing theory, input and out put analysis, random number generation, and variance reduction techniques. Students practice their modeling skills using commercial state-of-the-art simulation software. Assigned readings of real-life simulation projects complement the material learned in the classroom. Lecture, 3 hours.
Components: THI.
Grading: GRD.
Typically Offered: Fall.

MAS 548. Data Mining and Knowledge Acquisition. 3 Credit Hours.

This course provides an introduction to the principles and techniques of data m ining. Topics covered include the data mining process, data preprocessing, dat a mining techniques and data mining evaluation. The course will involve a comb ination of lectures, labs, projects and case studies.
Components: LEC.
Grading: GRD.
Typically Offered: Spring.

MAS 550. Management Science Internship. 1-3 Credit Hours.

Student is individually assigned to operating business firm or other organization to gain insight into management practice in area of career interest. Periodic reports and conferences are required. Permission of departme nt chair is required prior to registration.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.

MAS 555. Management Science Honors Research Project.. 3.00 Credit Hours.

Research project to fulfill requirements for Departmental Honors in Management Science.
Components: THI.
Grading: SUS.
Typically Offered: Offered by Announcement Only.

MAS 595. Topics in Management Science. 1-3 Credit Hours.

Topics in selected areas of specialization.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.

MAS 596. Topics in Management Science. 1-3 Credit Hours.

Topics in selected areas of specialization.
Components: LEC.
Grading: GRD.
Typically Offered: Fall, Spring, & Summer.