What is analytics?
The demand for data-savvy individuals has never been higher, and the analytics minor gives you an introduction to the tools you’ll need for a career involving data science and analytics, focused on the application of data science in industry. In addition to courses in mathematics, computer science and analytics, you can study neural networks and big data. Combine this minor with a major in the sciences, computer science, business, marketing or social sciences to bring enhanced skills to your career or graduate studies.With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field.
Why study analytics at UNH?
UNH was one of the first universities in the country to offer an undergraduate-level degree in analytics and data science. Our programs take a multidisciplinary approach that incorporates experiential education and projects. You’ll learn the cutting-edge technical skills you need to manage, distill, and interpret data for industries from finance to healthcare to marketing and advertising. The analytics minor is available through both the Durham and Manchester campuses.
- Business analyst
- Management analyst
- Market research analyst
- Quantitative analyst
- Web analytics specialist
Kingsbury Hall N229, 33 Academic Way
Durham, NH 03824
Phone: (603) 862.3778
Curriculum & Requirements
The objective of this minor is to provide a basic background in analytics for those interested in applications.
Students must complete five courses (20 credits) with a cumulative minimum grade point average of 2.0 and with no grade below a C- grade. Transfer course approval for the minor is limited to at most, two relevant courses successfully completed at another accredited institution, subject to syllabi review and approval. COMP 425: Introduction to Programming
|CS 417||From Programs to Computer Science (Durham Students)||4|
|or COMP 525||Data Structures Fundamentals|
|CS 457||Introduction to Data Science and Analytics||4|
|or DATA 557||Introduction to Data Science and Analytics|
|MATH 545||Introduction to Linear Algebra||4|
|MATH 645||Linear Algebra for Applications||4|
|Select one of the following:||4|
|Predictive and Prescriptive Analytics I|
|Predictive and Prescriptive Analytics II|
|Mining Massive Datasets|
For more information, contact Matthew Magnusson, program coordinator and minor supervisor, at Matthew.Magnusson@unh.edu.