Business Administration: Business Analytics, B.S

CURRICULUM PROPOSAL

BUSINESS ADMINISTRATION: BUSINESS ANALYTICS, B.S.

Item #1 – Deactivate BS: Business Administration: Industrial Management.

Rationale: Significant changes to the program requirements and a change of name warrant deactivation of Industrial Management concentration.

Item #2 – Create a new concentration: “Business Administration: Business Analytics, B.S.”

Rationale:Business Analytics is the practice of iterative, methodical exploration of an organization’s data with emphasis on statistical analysis. Advances in information technology haveenabled companies to collect vast amounts of data. Insightful use of this data to drive decision making and gain competitive advantageis vital for businesses to survive. Tim McGuire of the global business consulting firmMcKinsey & Company says, “Analytics will define the difference between the losers and winners going forward.”[1] Another McKinsey report states “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.“[2]

Thereis huge regional and local demand for business analytics trained professionals.Chattanooga is one of the metropolitan areas with high potential for job growth in the information technology area. The GIG initiative of the city is expected to further increase the demand for analytics trained professionals. Area businesses such as BCBST, Unum, Volkswagen, and TVA have large and growing data analytic departments.

An important part of the mission of the College of Business is providing quality educational programs that produce academically-prepared and business-world ready men and women for a competitive global environment. This proposal for Business Analytics concentration is one of the steps to fulfill this mission.

CURRICULUM PROPOSAL

BUSINESS ADMINISTRATION: BUSINESS ANALYTICS, B.S.

PROGRAM

General Education

The same as all undergraduate Management majors

Program requirements

The same as all undergraduate Management majors

Required courses: 24 hours including

MGT 3560 - Prescriptive Analytics (Revised course)

MGT 3600 - Management Information Systems

MGT 3660 - Business Forecasting

MGT 4260 - Introduction to Business Analytics (New course)

MGT 4270 - Advanced Business Analytics (New course)

MGT 4280 - Supply Chain Management (New course)

MGT 4250- Database and Data warehouse (New course)

3 hours from:

MGT 4380 - International Management

MKT 3180 - International Marketing

FIN 4120 - International Finance

Electives: 9 hours chosen from:

BUS 3900r - Internship (Only 3 hours)

ACC 3050 - Managerial Cost Accounting

MGT 3300 - Concepts in Organizational Behavior

MGT 3310 - Organizational Motivation and Leadership

MGT 3320 - Human Resource Management

MGT 4140 - Managerial Decision-Making

MKT 4150 - Business to Business Marketing

ECON 4290 - Managerial Economics

MGT 3760 - Business Simulation (New course)

New courses proposed:

MGT 4260 - Introduction to Business Analytics

MGT 4270 - Advanced Business Analytics

MGT 4280 - Supply Chain Management

MGT 4360 - Database and Data warehouse

MGT 3760 - Business Simulation (Elective)

CATALOG DESCRIPTION OF PROPOSED NEW COURSES

MGT 3760 Business Simulation

Monte Carlo and Discrete-event simulation modeling and analysis of business system. Applications from a variety of business disciplines including marketing, operations, finance, scheduling, and staffing will be discussed. Spring semester. Prerequisites: MGT 3110, junior standing or department head approval. Differential course fee will be assessed.

MGT 4250 Databases and Data Warehouses

This course covers an introduction to organizational databases, database management systems, data warehouses and queries and business reports. Students will become familiar with operational and analytical database systems and design and built simple databases, write queries, and prepare reports for better decision making. Fall semester. Prerequisite: MGT 3600, junior standing or department head approval. Differential Course Fee will be assessed.

MGT 4260 - Introduction to Business Analytics

This course will provide an introduction to business analytics. Students will learn how to prepare the data for analytics purposes and understand to use various predictive Analytics approaches. These techniques will be examined in the context of various business applications such as healthcare, marketing, finance, and retailing. Fall semester.Prerequisite: MGT 4250 (or concurrent enrollment), junior standing or department head approval. Differential Course Fee will be assessed.

MGT 4270 - Advanced Business Analytics

This course builds on the Introduction to Business Analytics course (MGT 4260) and will describing various methodologies for describing the structured data and applying analytics approaches to understanding unstructured data from disparate sources. Spring semester. Prerequisite: MGT 4250, MGT 4260, junior standing or department head approval. Differential Course Fee will be assessed.

MGT 4280 Supply Chain Management

Concepts and techniques related to designing and managing supply chains. Topics include Master production scheduling, material requirements planning, capacity requirements planning, logistics, purchasing/sourcing, warehousing, and inventory management. Emphasis on analysis of the competitive environment, distribution network alternatives, and customer service aspects provide a background in each functional area to enable students to pursue their areas of interest. Fall semester. Prerequisites: MGT 3110, junior standing or department head approval. Differential course fee will be assessed.

Item #3: Proposed change of name and description

MGT 3560 Prescriptive Analytics (Current title: Management Science)

Concepts and applications of quantitative techniques for business decision making under deterministic and stochastic conditions. The course will focus on model building, analysis, interpretation and decision making using linear programming, integer programming, goal programming, decision analysis, queuing systems, and dynamic programming. Fall semester. Prerequisites: MGT 1000 or CPSC 1000, MGT 2120, MATH 1130 or MATH 1710 with a minimum grade of C or MATH 1720 or MATH 1830 or MATH 1910 or Math ACT score of 26 or better, junior standing, or department head approval. Differential course fee will be assessed.

Current description:

Concepts and applications of quantitative (mathematical) techniques, and computer analysis for business decision making under deterministic and stochastic conditions. Topics include mathematical model formulation, linear programming, integer programming, goal programming, transportation problems, assignment problems, network models, project scheduling, decision analysis, queuing, dynamic programming, and Markov processes. Fall semester. Prerequisites: MGT 1000 or CPSC 1000, MGT 2120, MATH 1130 or MATH 1710 with a minimum grade of C or MATH 1720 or MATH 1830 or MATH 1910 or Math ACT score of 26 or better, junior standing, or department head approval. Differential course fee will be assessed.

Goals ofBusiness Analytics (BA) Concentration

The mission of the Business Analytics concentration is to prepare students for a career in Business Analytics. Students who successfully complete the program should be able to use a range of information technologies ranging from spreadsheet software to advanced statistical packages to analyze big data and develop business strategies. In short, a graduate of the BA concentration should possess the expertise to analyze data from multiple sources and help businesses make better decisions.

Students graduating from the BA concentration should demonstrate expertise in the following functional areas within BA:

Data collection, organization, and preparation
Static and dynamic data visualization
Data mining including Cluster Analysis, RFM modeling and Market Basket analysis
Predictive analytic techniques including Forecasting, Decision Tree, Regression,Logit regression, and Neural Networks
Prescriptive analytic techniques including applications such as linear and integer optimization, nonlinear optimization, optimization models with uncertainty
Text mining

Further, students graduating from the BA concentration should demonstrate the ability to effectively communicate ideas and concepts in oral presentations, interpersonal relations, and in written formats.

Faculty teaching the courses offered in the BA concentration

Current Faculty:

Dr. Mohammad Ahmadi

Dr. Beni Asllani

Dr. Parthasarati Dileepan

Dr. Ashish Gupta

Prof. John Osterhage

Prof. David Witt

New Faculty:

One BA analytic faculty will be recruited in the approved line available from retirement.

Financial impact

The college already has the necessary hardware and software resources. Therefore, there will be no financial impact.

CLEAR PATH – Business Administration: Business Analytics, B.S.

Freshman Year

Meet with Academic Advisor two times each semester.
Go to every class. Contact your instructor if you are absent.
Devote enough time to your studies and think about course materials and how they apply to your life.
Become actively involved in at least one co-curricular activity.

Fall Semester: / Hrs / Spring Semester / Hrs
ENGL 1010 / 3 / ENGL 1020 / 3
MATH 1130 / 3 / MATH 1830 / 3
Fine Arts / 3 / Humanities or 2nd Fine Arts / 3
Cultures and Civilizations I / 3 / MGT 1000 / 3
Elective Outside of Business / 3 / Cultures and Civilizations II / 3
Elective Outside of Business / 1
16 / 15
Sophomore Year

Confirm your academic major choice and know the requirements and career fields related to your major.
Using MyMocsDegree, create course plan for your remaining degree requirements.
Involve yourself in learning opportunities that are challenging and relevant.

Fall Semester: / Hrs / Spring Semester / Hrs
Natural Science with Lab / 4 / Natural Science non-Lab / 3
ANTH 1520 or PSY 1010 or SOC 1510 / 3 / THSP 1090 / 3
MGT 2110 / 3 / MGT 2120 / 3
ACC 2010 / 3 / ACC 2020 / 3
ECON 1010 / 3 / ECON 1020 / 3
16 / 15
Junior Year

Participate in study abroad, leadership opportunities, service learning, civic engagement, internships, research projects, and other learning opportunities.
Develop your job or graduate school strategy.
Update your graduation plan as necessary.

Fall Semester: / Hrs / Spring Semester / Hrs
MGT 3560 / 3 / MGT 3110 / 3
MGT 3150 / 3 / MKT 3600 / 3
FIN 3020 / 3 / MGT 3660 / 3
MGT 3130 / 3 / BUS 3350 / 3
MGT 3100 or ENGL 2880 / 3 / Concentration elective / 3
15 / 15
Senior Year

Complete your Graduation Application with the Records Office.

Fall Semester: / Hrs / Spring Semester / Hrs
MGT 4250 / 3 / MGT 4400 / 3
MGT 4260 / 3 / MGT 4410 / 1
MGT 4280 / 3 / MGT 4380 / 3
Concentration elective / 3 / MGT 4270 / 3
Concentration elective / 3 / 3000/4000 Elective Outside Business / 3
15 / 13

Item #4: Proposal for the new courses

Syllabi of proposed new courses follow

Department of Management

COURSE:MGT 3760

TITLE:Business Simulation

PREREQUISITES:MGT 3110

CREDIT:3 hours

FACULTY:Dr. Mo Ahmadi

TEXTS:1. Simulation Modeling Using @RISK: Updated for Version 4, 1st Edition, Wayne L. Winston Indiana University, Kelley School of Business (Emeritus), ISBN-10: 053438059X, ISBN-13: 9780534380595

2. Simulation Using ProModel, 3rd Edition, Charles R.Harrell, ISBN-13 9780073401300

CATALOG DESCRIPTION

COURSE OBJECTIVES

This is a coursein Monte Carlo and Discrete-event simulation for undergraduate students. The course will cover modeling, simulation, analysis of results, and use of simulation software such as ProModel and @Risk. Complete design, analysis, and mostly applications of Monte Carlo and Discrete-event simulation experiments will be emphasized. Applications will be taken mostly from manufacturing, healthcare, and service systems. The course will include the basic concepts of simulation as well as more advanced topics, which will make it possible for the students to simulate various systems and thoroughly understand how simulation can aid in better decision making processes. Topics include stochastic models for simulation, use of analyticsfor designing simulations and output analysis, and random variable and process generation. Other objectives of the course include:

Develop competency in mathematical model formulation.

Use computer technologies for simulating various systems.

Analyze data and convert data to useful information.

Use the information to enhance critical thinking.

COURSE CONDUCT

The course will be conducted primarily in a lecture-discussion manner. Students will have access to computers in class. Therefore, in every meeting, students will work on a simulation project. Homework will be required. Students must have their assignments completed before each class meeting. Assignments that are turned in late (no later than one class period) will receive a maximum of 50% of the credit. It is expected that each student will be prepared for each meeting and will agree with the following policies.

Read the assigned chapters and textbook material before coming to class.
Have the assignments ready to be turned in.
Be prepared to complete an in-class assessment in every meeting.
There will be no make-up for the missed daily assessments.
Missed daily assignments will receive a grade of zero. Assignments that are turned in late (no later than one class period) will receive a maximum of 50% of the credit.

GRADING SYSTEM

Grade Item / Points / Final grade
Three exams / 300 / 90% and above = A
HW Assignments / 100 / 80% - 90% = B
Final project / 50 / 70% - 80% = C
Total / 450 / 60% - 70% = D
Below 60% = F

COMPUTER USAGE

ProModelTM and @Risk computer software will be used for simulation. Also, Excel will be used throughout the course. Students MUST HAVE THOROUGH KNOWLEDGE OF EXCEL.

OTHER COMMENTS

During the semester, numerous handouts will be distributed or e-mailed to you via Blackboard. If you miss a class or cannot download a file, you are responsible for obtaining handouts, assignments and other information from your classmates.
This is an elective upper division course. There will not be any tutor available for this course.
Upon registration, all UTC students become subject to the rules and regulations of the Honor Code (see the Student Handbook).

The Honor Code is fully enforced in my classes.

The Honor Code is based upon the assumption that the student recognizes the fundamental importance of honesty in all dealings within the University community and that education is a cooperative enterprise between student and teacher and between student and student. Any act of dishonesty violates and weakens this relationship and lessens the value of the education that the student is pursuing.

College of Business faculty will be happy to share their knowledge and experience with you as you plan for your future. If you have any questions regarding career paths in this field or interest in applying to graduate school, please feel free to meet with me (or any faculty member.

ADA STATEMENT: Attention: If you are a student with a disability (e.g. physical, learning, psychiatric, vision, hearing, etc.) and think that you might need special assistance or a special accommodation in this class or any other class, call the Office for Students with Disabilities at 425-4006, come by the office - 102 Frist Hall or see

If you find that personal problems, career indecision, study and time management difficulties, etc. are adversely affecting your successful progress at UTC, please contact the Counseling and Career Planning Center at 425-4438 or

SCHEDULE

DATE / ACTIVITY
Week 1 / Course Overview – Monte Carlo Simulation using spreadsheet (Chapters 1, 2 and 3)
Week 2 / Simulation with @Risk (Chapters 4 and 5)
Week 3 / Business applications using @Risk (Selected chapters from 6 to 13)
Week 4 / Business applications using @Risk (Selected chapters from 14 to 24)
Week 5 / EXAM 1
Week 6 / Introduction to discrete event simulation and ProModel (Chapters 1-4 and Labs 1-3)
Week 7 / Data collection and Analysis (Chapter 5 and Labs 5)
Week 8 / Model building and verification (Chapters 6 and 7, and Labs 4, 6, and 7)
Week 9 / Simulation output analysis (Chapter 8 and Lab 8)
Week 10 / EXAM 2
Week 11 / Comparing systems (Chapter 9 and Lab 9)
Week 12 / Simulation optimization (Chapter 10 and Lab 10)
Week 13 / Modeling manufacturing systems (Chapters 11 & 12 and Labs 11 & 12)
Week 14 / Modeling service systems (Chapter 13 and Lab 13)
Week 15 / FINAL EXAM

Department of Management

COURSE:MGT 4250

TITLE:Databases and Data Warehouses

PREREQUISITES:MGT 3600

CREDIT:3 hours

FACULTY:Dr. Arben Asllani

TEXTBOOK:"Database Systems – Introduction to Databases and Data Warehouses", Jukic, Vrbsky, Nestorov, 1st edition (2014), Publisher: PEARSON, ISBN: 9780132575676

CATALOG DESCRIPTION

This course covers an introduction to organizational databases, database management systems, data warehouses and queries and business reports. Students will become familiar with operational and analytical database systems and design and built simple databases, write queries, and prepare reports for better decision making. Fall semester. Prerequisite: MGT 3600, junior standing or department head approval. Differential Course Fee will be assessed

GOALS AND OBJECTIVES

This is an undergraduate level course and as such students will be expected to gain knowledge about databases and data warehouses. Students in this course will learn how to design and use operational and analytical databases.

Skills and Competencies: Specifically, at the completion of this course, the student will understand the role of databases and their impact in the organization, represent a business description into an entity relationship diagram, create tables, queries, forms and reports using a selected database management system. In addition, students will be introduced to the concepts of data warehousing, star schemas, data marts, the extract-transform-load process, online analytical processing, and business intelligence.

GRADING SYSTEM

Grade Item / Points
Group Project / 20%
Midterm / 20%
HW Assignments / 30%
Final Exam / 30%
Total / 100%
/ Letter Grade / From / To
A / 90% / 100%
B / 80% / 90%
C / 70% / 80%
D / 60% / 70%
F / 0% / 60%

OTHER POLICIES

Policy on Late Submissions:

Timely completion of all assignments is critical to student success. Instructors may grant limited extensions of time for unexpected business, health or personal emergencies beyond the student's control.Student must make the request in advance of the due date and support the request by a compelling. Any such extension will be for a period not to exceed one week. For late submissions that have not been approved by the instructor (and for assignments submitted after an extension due date) the penalty will be a 20% reduction in the grade for that assignment for each day that the assignment is late. Please note that there can be no extensions for the assignments during the last week.

Policy on Academic Integrity and Plagiarism: