PROGRAMS OF STUDY: B.S. in Business Analytics; Minor in Analytics
Why study Business Analytics at M.C.?
In the age of Big Data, more data has been created in the last two years than in the entire history of the human race. Business analysts interpret and analyze this data with the goal of improving the functioning of businesses and organizations. These professionals are employed everywhere from Fortune 500 companies to hospitals, non-profit agencies, and government organizations. Successful business analysts possess a unique combination of domain knowledge and a solid foundation in mathematics, statistics, and computer science.
The Major in Business Analytics presents a creative and solid balance between mathematical techniques and business applications and provides flexibility to accommodate a variety of student backgrounds and interests. Educated in Maryville College's strong liberal arts curriculum, graduates of the program are able to meet the many challenges of today’s data-driven business environment. The program aims to create experts who understand the complex issues facing organizations; gather, organize and analyze data from a variety of sources; suggest realistic solutions based on solid mathematical reasoning; and communicate findings to a variety of audiences.
Maryville College Works is a comprehensive career preparation program that is integrated into the College’s four-year liberal arts curriculum. Key components include assessment, advising, networking and professional experiences.
Meet a Current Student
Thomas Simms '19
Hometown: Pigeon Forge, Tenn.
In fall 2017, Thomas, then a mathematics major, was able to acquire an internship in Blount Memorial Hospital’s Financial Operations Center. The work convinced him to change his major.
“It only took me a few weeks of running data analysis for Blount Memorial to realize that I wanted to pursue a career in business analytics. Due to the fact it is a fast-growing field and has a blend of mathematics and business, I was very intrigued by this new area of study. I plan to continue with Blount Memorial for the rest of my undergraduate degree, and I want to get a master’s degree in business analytics after I graduate.”
Meet a Graduate
Grace Puryear ’17
Currently: Pursuing a master’s of science in business analytics at the University of Tennessee-Knoxville
It was a summer internship with Great West Casualty where Grace really saw, up close, what a career in business analytics looks like. She liked it. The internship, along with the College’s challenging coursework in math and statistics, prepared her for graduate school and also helped her land a teaching assistantship.
“I chose to pursue this program because of all the opportunities it brings. It's the perfect combination of math, statistics and business,” she said. “It's also a growing field with a great job outlook. UT has one of the best business analytics programs in the country, so I'm super excited for these next couple of years.”
The May 2011 report by the McKinsey Global Institute was the first of many to recognize the rapidly growing demand for analytics professionals. “In most industries, established competitors and new entrants alike will leverage data-driven strategies to innovate, compete, and capture value from deep and up-to-real-time information,” the report said. “… By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”
Companies that employ a large number of analytics professionals include giants like Google, Amazon, IBM and Oracle. Additionally, an increasing number of private companies, government entities and nonprofit organizations are forming in-house analytics teams. In addition to preparing one for a career as a business analyst, the major provides training towards careers as data scientists, advanced analytics professionals, and statisticians.
Students successfully completing the program of study will have achieved the following learning outcomes:
- Assess organizational performance with respect to the needs of the organization's various stakeholders
- Understand the complexities, challenges and opportunities posed by the economic, political, technological and social/cultural context in which an organization operates.
- Interpret, analyze and present financial and economic data.
- Communicate complex ideas with precision and clarity in both written and oral form, to a variety of audiences.
- Understand the logic behind statistical inference – the science of drawing conclusions from limited data -- and be able to assess the role of variability in estimations.
- Confidently use software to store, organize, manipulate and analyze very large quantities of data.
- Use mathematical techniques to produce realistic solutions to increase business efficiency and profitability.
The interdisciplinary Bachelor of Science degree in Business Analytics requires a minimum of 63 credit hours involving courses in business, computer science, and mathematics. Required courses include those in domain knowledge, analytical skills, professional development, senior study and a selected area of concentration.
- BUS 201: Principles of Management (3 hours)
- BUS 215: Principles of Accounting (3 hours)
- BUS 242: Marketing (3 hours)
- BUS 305: Organizational Behavior (3 hours)
- BUS 344: Principles of Finance (3 hours)
- ECN 201: Principles of Economics (4 hours)
- MTH 125: Calculus I (4 hours)
- MTH 222: Regression Analysis (3 hours)
- MTH 321: Probability and Statistics I (3 hours)
- CSC 111: Introduction to Computer Science I (3 hours)
- CSC 313: Database Management Systems (3 hours)
- CSC 314: Data Mining (3 hours)
- MTH 305: Mathematical Modeling (3 hours)
Professional Development (choose one):
- SLS 299: Issues in Professional Development (2 hours) or
- CSC 299: Research Seminar (1 hour)
- MTH 351-352: Senior Study (6 hours)
Students must complete five courses selected from the following concentration areas. Three of the courses must come from the same area of concentration.
Concentration Area 1: Domain Knowledge.
- BUS 244: Consumer Behavior (3 hours)
- BUS 337: Internship (3 hours)
- BUS 319: Marketing Research (3 hours)
- BUS 401: Strategic Management (3 hours)
Concentration Area 2: Mathematics and Statistics
- MTH 225: Calculus II (4 hours)
- MTH 232: Linear Algebra (3 hours)
- MTH 322: Probability and Statistics II (3 hours)
- MTH 326: Numerical Analysis (3 hours)
- MTH 221: Inferential Statistics (3 hours)
- MTH 236: Differential Equations (3 hours)
Concentration Area 3: Computer Science
- CSC 112: Introduction to Computer Science II (3 hours)
- CSC 231: Discrete Structures (3 hours)
- CSC 241: Data Structures (3 hours)
- CSC 312: Algorithm Design and Analysis (3 hours)
Program taught in: