Undergraduate Analytics Major
Where innovation meets insight
The School of Business Analytics is your gateway to a future where data-driven decision-making is the key to your success.
The business analytics major prepares you for a career requiring a breadth of business knowledge and an in-depth ability to assemble, use, and analyze data to generate insights and make practical recommendations for improving results across a wide range of functional business areas.
Analytics Major Overview
Demonstrate the ability to collect, link, clean and augment data using database management technologies.
Demonstrate the ability to use state-of-the-art analytics methods and competence in analytics packages and tools that are commonly used in business.
Demonstrate proficiency in the most common software, including programming languages, i.e. Microsoft Office Suite, Tableau/Power BI, SQL, Python, and R.
Demonstrate the ability to communicate effectively with an emphasis on data communication, including visualizing.
Business Analytics Advising
Work with your Business Analytics academic advisor to get questions answered and plan for your goals.
School of Business Analytics
The Eller School of Business Analytics is here to ignite the power of data to shape the future of business. Our school stands as a beacon of innovation and expertise in the dynamic field of business analytics, leading the way in educating the next generation of data-driven decision-makers.
Business Analytics Sample Coursework Plan
How your Eller Business Analytics experience can play out:
Business Analytics Elective Course Options
Statistical methods in estimating and testing economic models; single and simultaneous equation estimation, identification, forecasting, and problems caused by violating classical regression model assumptions.
Units: 3
Usually offered: Fall, Spring
Grading: Regular Grading
May be convened with: ECON 518
Forecasting techniques used in business and government; assembly, interpretation and use of economic data; analysis of business conditions; examination of related environmental factors; construction of actual sales or revenue forecasts.
Units: 3
Usually offered: Fall
Grading: Regular Grading
The objective of the class is to develop advanced data handling, graphic visualization, and econometric methods that are used in the analysis of large/big economic and business datasets. Statistical software such as SAS will be used for statistical programming and data visualization. In addition, SQL programming may be used for data management (the accessing, cleaning, merging, and preparation of large datasets for analysis).
Units: 3
Usually offered: Spring
Grading: Regular Grading
The primary objective of this course is to "marry" corporate finance theory with practice. You should develop the ability to use finance concepts to solve practical finance problems. In particular, we will focus on the use of a spreadsheet (e.g., Microsoft Excel) to develop models that can be used in the financial decision-making process. Therefore, in addition to learning and applying finance concepts, you will also improve and refine your computer skills. You will use Excel to build capital budgeting and financial planning models, examine capital structure issues and risk/return tradeoffs, and perform financial statement (ratio) analysis. Available only to Finance majors.
Units: 3
Prerequisite(s): FIN 412 (grade of C or better), FIN 421 (grade of C or better)
Usually offered: Fall, Spring
Grading: Regular Grades
Analyzes business cases in an international context.
Units: 3
Prerequisite(s): FIN 412 (grade of C or better), FIN 421 (grade of C or better)
Usually offered: Spring
Grading: Regular Grades
This undergraduate senior-level course (elective) will cover the important concepts and techniques relating to data analytics, including: statistical foundation, data mining methods, data visualization, and web mining techniques that are applicable to emerging e-commerce, government, health and security applications. The course contains lectures, readings, lab sessions, and hands-on projects. Most business school seniors are welcome. The course will require some basic computing and database background. The course will prepare students to become a data scientist or a data-savvy manager for different businesses.
Units: 3
Usually offered: Spring
Business Analytics Major Career Resources
Business Analytics Career Coaching
Eller students have a world of options in front of them—which is why a dedicated career coach is so valuable. Get professional coaching on internship and job opportunities awaiting you.