Ling Li, Chair
Marek Wermus, Area Coordinator
Kelly Alvey, Chief Discipline Advisor

Business Analytics enables students to properly develop decision models and use computers to manipulate and analyze data in order to enhance decision making in a business environment.  Students with a concentration in Business Analytics and Intelligence are typically employed in Business Analytics Departments.  Students with Business Analytics concentrations in business functional areas are often employed in their functional area as analysts.

Business Analytics and Intelligence Concentration

Required Courses:
IT 201Introduction to Information Systems3
or IT 360T Principles of Information Technology
IT 205Introduction to Object-Oriented Programming3
IT 363Systems Analysis and Design3
IT 410Business Intelligence3
IT 450Database Concepts3
BNAL 406Spreadsheet Modeling and Analysis for Business Decisions3
BNAL 407Management Science3
BNAL 415Advanced Business Analytics/Big Data Applications3
BNAL 432Forecasting3
BNAL 476Simulation Modeling and Analysis for Business Systems3
Choose one of the following international courses:
International and Advanced Accounting
International Economics
International Financial Management
Information Systems for International Business
International Business Operations
Comparative International Management
Management Seminar Abroad
Multi-National Marketing
International Shipping
Free Elective3
Total Hours33
*

Business Analytics majors who take IT 363 will be exempt from taking IT 360T as a core course.

Courses included in the calculation of the 2.00 overall grade point average for major course work  for graduation are:  IT 450, IT 410, BNAL 406, BNAL 407, BNAL 415, BNAL 432, and BNAL 476.

Business Analytics Concentrations in the Business Functional Areas

Required Courses
BNAL 407Management Science3
BNAL 415Advanced Business Analytics/Big Data Applications3
BNAL 476Simulation Modeling and Analysis for Business Systems3

Major Electives

Select one from the following:3
Spreadsheet Modeling and Analysis for Business Decisions
Forecasting
Select one from the following:3
Managerial Accounting
Internship
Spreadsheet Modeling and Analysis for Business Decisions
Forecasting
Supply Chain Management and Logistics
Research Methods in Economics
Introduction to Mathematical Economics
Risk Analysis and Control
Investments
Global Business
Systems Design and Implementation
Compensation Management
Marketing Analytics
Strategic Sourcing and Purchasing Management

Concentration Area Electives

Choose and complete nine credits of coursework from one of the following concentration areas:

Business Analytics in Accounting

Two approved 300-400 level ACCT courses6
Approved International Business Requirement3
Select one from the following:
International and Advanced Accounting
International Economics
International Financial Management
Information Systems for International Business
International Business Operations
Comparative International Management
Management Seminar Abroad
Multi-National Marketing
International Shipping

Business Analytics in Economics

Two approved 300-400 level ECON courses6
ECON 450International Economics3

Business Analytics in Finance

Two approved 300-400 level FIN courses6
FIN 435International Financial Management3

Business Analytics in International Business

ECON 450International Economics3
FIN 435International Financial Management3
MKTG 411Multi-National Marketing3

Business Analytics in Information Technology*

Two approved 400-level IT courses6
Approved International Business Requirement3

Business Analytics in Management

Two approved 300-400 level MGMT courses6
MGMT 361International Business Operations3
or MGMT 462 Comparative International Management

Business Analytics in Marketing

One approved 300-400 level MKTG course3
MKTG 411Multi-National Marketing3
MKTG 475Marketing Analytics3

Business Analytics in Maritime and Supply Chain Management

Two approved MSCM courses6
MSCM 370International Shipping3

Electives

Free Elective3
200-400 Level Business Elective **3
300-400 Level Business Elective **3
Total Hours33
*

International Business Requirement for grade point calculation only. Note that only students who are also majoring in IT are permitted to use it as a functional area in the decision sciences major.

**

Can be any 200-400 or 300-400 level course offered by the Strome College of Business except ECON 200S, providing that the student has the appropriate prerequisites.

Courses included in the calculation of the 2.00 grade point average for major course work for graduation are:  BNAL 407, BNAL 415, BNAL 476, 6 hours from major electives and 9 hours from functional area electives.

Business Analytics Minor

The minor in Business Analytics requires four courses (12 hours) comprised of:

BNAL 306Statistical Data Analysis and Management Science3
OPMT 303Operations Management3
One of the following:3
Management Science
Simulation Modeling and Analysis for Business Systems
One of the following:3
Management Science
Simulation Modeling and Analysis for Business Systems
Spreadsheet Modeling and Analysis for Business Decisions
Advanced Business Analytics/Big Data Applications

At least two of the four courses must be completed through courses offered by Old Dominion University, and a 2.00 overall grade point average is required exclusive of prerequisite courses. Business majors who want to make themselves more marketable may choose a minor in Business Analytics by taking two additional courses.

BUSINESS ANALYTICS Courses

BNAL 206. Probability, Decision Analysis and Business Statistics. 3 Credits.

An introduction to methods of probability assessment and statistical inference. Topics include descriptive statistics, normal and binomial distributions, decision making under uncertainty and under risk, decision analysis incorporating sample information, sampling distributions and Central Limit Theorem, interval estimation, and hypothesis testing. Business and economic applications are emphasized. Computer software, as a tool for problem solving, is utilized where appropriate. Prerequisites: A grade of C or better in MATH 162M or placement into a higher level math course.

BNAL 306. Statistical Data Analysis and Management Science. 3 Credits.

Quantitative methods for solving business problems. Topics include advanced hypothesis testing, analysis of frequency data, correlation analysis, simple and multiple regression, time series forecasting, linear programming formulation and managerial analysis, distribution models, and PERT/CPM models. Computer software, as a tool for problem solving, is utilized throughout the course. Emphasis is on the interpretation of the varied aspects of quantitative solutions. Prerequisites: MATH 200, BNAL 206 and a declared major in the University or permission of the Dean's Office.

BNAL 367. Cooperative Education. 1-3 Credits.

Approval for enrollment and allowable credits are determined by the department and Career Development Services in the semester prior to enrollment. (Qualifies as a CAP experience.) Prerequisites: Junior standing and a declared major in the University or permission of the Dean's Office.

BNAL 368. Internship. 1-3 Credits.

Approval for enrollment and allowable credits are determined by the department and Career Development Services in the semester prior to enrollment. (Qualifies as a CAP experience.) Prerequisites: BNAL 306 and a declared major in the University or permission of the Dean's Office.

BNAL 369. Practicum. 1-3 Credits.

Approval for enrollment and allowable credits are determined by the department CAP adviser and the Career Development Services in the semester prior to enrollment. Student participation in a professional work experience. (Qualifies as a CAP experience.) Prerequisites: BNAL 206 and BNAL 306 and a declared major in the University or permission of the Dean's Office.

BNAL 403/503. Data Visualization and Exploration. 3 Credits.

This course introduces students to processes, technologies, and methodologies that are commonly used in understanding data to be able to effectively analyze the data. Emphasis is placed on data visualization. Prerequisite: BNAL 306 or permission of the instructor.

BNAL 406. Spreadsheet Modeling and Analysis for Business Decisions. 3 Credits.

This course introduces students to the use of spreadsheet modeling and self-service business intelligence tools to analyze data and make business decisions in Excel. Course topics include advanced Excel functions and tables. Power Pivot and the DAX language are used to extract meaningful information from large data sets. These topics are then applied to analyze problems in predictive analytics. Examples include advanced multiple regression and classification techniques in datamining. Prerequisites: A grade of C or better in BNAL 306 and a declared major in the University or permission of the Dean's Office.

BNAL 407/507. Management Science. 3 Credits.

Students are introduced to the formulation and solution of mathematical models, with a particular focus on optimization models. The business use of the models, as well as their limitations, is emphasized. Topics include linear, integer, non-linear programming, network models, and genetic algorithms. Extensive analysis of results using duality theory and other techniques is incorporated to aid in the decision making process. Prerequisites: BNAL 306 and a declared major in the University or permission of the Dean's Office or the instructor.

BNAL 415/515. Advanced Business Analytics/Big Data Applications. 3 Credits.

This course addresses advanced business analytics techniques and the application of such techniques to large data sets. Some alternative business analytics strategies are introduced. Descriptive, predictive, and prescriptive models are included. Topics covered in this course include data visualization and exploration, cluster analysis, and developing and calibrating predictive models for big data. Applications of multivariate, logistic, and probit regression to business analytics are discussed. Software packages such as SAS/JMP/SPSS may be used. Prerequisites: BNAL 306 and a declared major in the University or permission from the Dean's Office.

BNAL 432/532. Forecasting. 3 Credits.

Techniques for preparing business forecasts. Applications include both shorter term forecasting for sales and operations management as well as forecasting for long term planning. Emphasis is on statistical methods to obtain and evaluate forecasts. Statistical models are implemented using standard software such as MINITAB or EXCEL. Prerequisites: BNAL 306 and a declared major in the University or permission of the Dean's Office.

BNAL 441. Supply Chain Management and Logistics. 3 Credits.

Supply chain management integrates all activities associated with the flow of materials and information from product start to customers. Examples include order processing, warehousing, inventory management, transportation and logistics, and the costs and information systems supporting these activities. Particular application is made to global logistics systems supporting port and maritime activities. Supply chain relationships can be improved through effective integration of management and via such technologies as the World Wide Web, electronic data exchange, and enterprise resource planning (ERP). (Cross-listed with MSCM 441.) Prerequisites: OPMT 303 and a declared major in the University or permission of the Dean's Office.

BNAL 476/576. Simulation Modeling and Analysis for Business Systems. 3 Credits.

Methods and techniques of digital computer simulation of business systems utilizing knowledge of data processing, statistics, probability theory and operations research. Areas of application include systems that experience waiting problems. Topics include the methodology for the construction of computer simulation models, model verification, validation, and analysis of results. This course also includes/qualifies as a CAP experience. Prerequisites: OPMT 303 and BNAL 306 with a grade of C or better, senior standing and a declared major in the University or permission of the Dean's Office.

BNAL 495. Topics in Business Analytics. 3 Credits.

Selected advanced topics in decision sciences. Taught on an occasional basis. See the course schedule for the particular topic being taught each semester. Prerequisites: Senior standing and a declared major in the University or permission of the Dean's Office.

BNAL 497. Independent Study. 1-3 Credits.

Affords students the opportunity to undertake independent study under the direction of a faculty member. Prerequisites: Permission of department.