The Data Science minor at UNH is designed to equip students with essential skills for analyzing and interpreting large datasets, a critical asset in today’s data-driven world. You’ll explore courses in artificial intelligence, neural networks, data mining, and big data, gaining a strong foundation in the theoretical and practical aspects of data science. As a pioneer in offering undergraduate-level data science programs, UNH provides hands-on learning experiences that prepare you for careers in industries like finance, healthcare, marketing, and beyond.
What is data science?
With an explosion of big data initiatives in organizations worldwide, the demand for data-savvy individuals has never been higher. This program is designed to provide a basic foundation for students interested in the theoretical underpinnings of analytics and data science. Choose from courses in artificial intelligence, neural networks, data mining and big data. Data science is being applied in many organizations within industry, academy and government, and the job demand reflects this growth. With the experience provided by this minor, you’ll gain a competitive advantage in this rapidly growing field.
Why study data science 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 to manage, distill and interpret data for industries from finance to healthcare to marketing and advertising. The data science minor is available on both the Durham and Manchester campuses.
Potential Careers
- Actuary
- Business analyst
- Consultant
- Data engineer
- Data scientist
- Management analyst
- Market research analyst
- Statistician
- Quantitative analyst
Curriculum & Requirements
The objective of this minor is to provide a basic background in data science for those who are more interested in the theoretical underpinnings of analytics and data science.
Students interested in the Data Science minor should contact matthew.magnusson@unh.edu for more information.
Academic policies related to Minors.
Credit toward the minor will only be given for courses passed with C- or better, and a 2.00 grade-point average must be maintained in courses for the minor.
- Courses taken on a pass/fail basis may not be used for a minor.
- No more than 8 credits used to satisfy major requirements may be used for the minor.
- No more than 2 courses or 8 credits may be from transfer coursework. Any transferred coursework must be approved by the minor coordinator.
For additional details on how to declare a minor, please visit https://www.unh.edu/registrar/academic-records/majors-minors.
programming (CS 415 Introduction to Computer Science I ), and math (MATH 425 Calculus I, MATH 426 Calculus II, and MATH 539 Introduction to Statistical Analysis or MATH 644 Statistics for Engineers and Scientists) is required.
| Code | Title | Credits |
|---|---|---|
| Requirements | ||
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| Select one course from the following: | 4 | |
CS 417 | From Programs to Computer Science (Durham Students) | |
CS 416 | Introduction to Computer Science II | |
COMP 525 | Data Structures Fundamentals (Manchester Students) | |
| Select three courses from the following: 1 | 12 | |
CS 730 | Introduction to Artificial Intelligence | |
CS 750 | Machine Learning | |
CS 753 | Information Retrieval and Generation Systems | |
CS 757 | Mathematical Optimization for Applications | |
CS 775 | Database Systems | |
MATH 645 | Linear Algebra for Applications | |
MATH 736 | Advanced Statistical Modeling | |
MATH 738 | Data Mining and Predictive Analytics | |
MATH 739 | Applied Regression Analysis | |
DATA 750 | Neural Networks | |
| Total Credits | 20 | |
