Bachelor of Science in Analytical Economics*

*For students matriculating into Paul College Fall 2017. 

Thrive in a Big Data World! Today’s economic and business world is all about big data. The B.S. in Analytical Economics (BSAE) is designed to help you thrive in this world. It emphasizes the three main areas of knowledge that you are going to need: economic theory, statistics, and data analytics. The Analytics major at other schools typically focuses on statistics and computer science. But, as economist and business consultant Steve Levitt (author of Freakonomics) recently pointed out, “Big Data alone are not enough, you need to understand human behavior and incentives for most of the applications.” The analytical economics major provides this balance of technical skills and economic reasoning. With this interdisciplinary background, you will understand how to tackle many of the economic and big data problems facing today’s businesses and other organizations. This is the background that today’s competitive job market rewards highly.

The analytical economics major consists of 10 courses from the Economics department: ECON 401, ECON 402, ECON 565, ECON 606, ECON 611, ECON 726, ECON 727, 2 electives, and the capstone ECON 775. Students must earn at least a grade of C- (1.67) in each course and an overall grade point average of 2.3 or better in the major’s classes. Beyond the major’s 10 classes, students complete MATH 424 or 425, ADMN 403 (1 credit), PAUL 405 (1 credit), PAUL 406 (1 credit), ADMN 410, and ADMN 420.

The program builds knowledge and skills by starting from the basic and moving to the advanced. A typical course of study would involve:

  • Year 1: Students take calculus (MATH 424 or 425), two Principles of Economics courses (ECON 401-402), a computer essentials course (ADMN 403), and Management Information Systems (ADMN 410). 
  • Year 2: Students take Business Statistics (ADMN 420) and a first analytics course Predictive Modeling, which introduces you to statistical modeling, programming in R, and basic linear decision analysis (ECON 565). Students may also want to take courses in intermediate economic theory. ECON 611 focuses on macroeconomics, which provides the understanding for time series analytics. ECON 606 is a calculus-based course in microeconomics, which emphasizes decision analysis under certainty and uncertainty, as well as in strategic situations. These foundations in prescriptive analytics will enable you to model many economic and business problems using data sets large and small.   
  • Year 3: Students focus intensively on building empirical data analysis skills in Econometrics and Advanced Econometrics (ECON 726 and ECON 727). Students will also begin to apply their growing skill set with a corporate or non-profit internship.
  • Year 4: Students take the capstone course (ECON 775), where they use their economic reasoning and predictive and prescriptive analytics skills to analyze questions of their own choosing. Students conduct their own empirical and theoretical analysis, write a research paper, and present their work at UNH’s Undergraduate Research Conference. 

The department strongly encourages students to complete internships, especially at business and economic consulting firms where they can utilize the economic reasoning and data skills that they are learning in class.