Created in response to the growing need for analytics professionals, the minor in Analytics prepares you with the skills to manage, distill and interpret data.
Analytics and data science are being applied in many organizations within industry, academia and government, and the job demand reflects this growth. Centered on the applications of data science in industry, the Analytics minor complements any major by building your foundation in mathematics, computer science and business behavior.
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.
Potential careers
- Actuary
- Business analyst
- Consultant
- Management analyst
- Market research analyst
- Quantitative analyst
- Sociologist
- Web analytics specialist
Curriculum & Requirements
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.
For more information, contact Jeremiah Johnson, minor supervisor.
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.
Requirements1
| Code | Title | Credits |
|---|---|---|
| DATA 557 | Introduction to Data Science and Analytics | 4 |
| COMP 525 | Data Structures Fundamentals | 4 |
| COMP 570 | Statistics in Computing and Engineering | 4 |
| MATH 539 | Introduction to Statistical Analysis | 4 |
| Select one of the following: | 4 | |
DATA 674 | Predictive and Prescriptive Analytics I | |
DATA #675 | Predictive and Prescriptive Analytics II | |
DATA #750 | Neural Networks | |
DATA 757 | Mining Massive Datasets | |
| Total Credits | 20 | |
- 1
See equivalent requirements for the minor if taken on the Durham campus