Artificial Intelligence, Minor - CEPS, UNH

Undergraduate

Artificial Intelligence

Build the skills to understand, apply, and shape the future of artificial intelligence.
Degree
Minor
Location
Durham, NH
Courses
5
Credit
20 hrs.
Full-time
- -
Part-time
- -
student taking notes on a piece of paper while a student in the background uses a VR headset

COmputer Science

The Artificial Intelligence minor at UNH introduces you to the technologies transforming how industries solve complex challenges. 

You’ll gain practical experience with intelligent systems and data-driven methods that complement a wide range of majors and prepare you for emerging career paths.

Computer Science Department

Contact Cards

Senior Lecturer
Kingsbury Hall, Room W243, Durham, NH 03824
(603) 862-3778

What is a minor in Artificial Intelligence?

The Artificial Intelligence minor at UNH is designed for students who want to understand and apply artificial intelligence tools and techniques, which are increasingly important across many domains. Students will master the foundations of artificial intelligence and appreciate its benefits and risks. They will also learn to solve problems using artificial intelligence and machine learning methods in the context of diverse application domains, including robotics, computer vision, and natural language processing, preparing them to succeed in a rapidly evolving field.

Why study Computer Science at UNH?

Our fundamentals-based programs equip students with the knowledge and skills needed for today’s rapidly evolving careers. Our graduates have achieved remarkable success as entrepreneurs, key contributors in startups, and corporate leaders. Our alumni can be found in virtually every major tech company and throughout fields as diverse as finance, insurance, and defense. Student learning is supported through the Programming Assistance Center for introductory classes and through peer support for advanced courses. The department provides opportunities for students to augment their studies by engaging in research through projects and independent studies. Students have access to the UNH Interoperability Lab, where they have opportunities to work alongside top tech companies, and the UNH ECenter, where they can receive assistance with entrepreneurial ventures. Many of UNH’s student organizations, such as the Cybersecurity Club, are a natural fit for our students.

Potential careers areas

  • Application development
  • Research
  • Database development
  • Data security
  • Network architecture
  • Product development management
  • Quality assurance analysis
  • Software engineering
  • Software systems development
  • User experience design
  • Web development

Curriculum & Requirements

01
Program Description
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The objective of this minor is to provide a basic background for those who have had an introductory programming class and are interested in diving deeper into the foundations of artificial intelligence and machine learning.

02
Requirements for the Program
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Academic policies related to Minors.

Required Courses
CS 416Introduction to Computer Science II 14
or CS 417 From Programs to Computer Science
or CS 419 Computer Science for Engineers and Scientists
CS 515Data Structures and Introduction to Algorithms4
CS 730Introduction to Artificial Intelligence4
or CS 750 Machine Learning
or CS 752 Foundations of Neural Networks
Electives
Select two courses from the following:8
CS 550
Foundations of Machine Learning
CS 674
Fundamentals of Statistical Learning I
CS 675
Fundamentals of Statistical Learning II
CS 730
Introduction to Artificial Intelligence 2
CS 733
Mobile Robotics
CS 750
Machine Learning
CS 751
Reinforcement Learning
CS 752
Foundations of Neural Networks
CS 753
Information Retrieval and Generation Systems
CS 755
Computer Vision
CS 757
Mathematical Optimization for Applications
CS 759
Natural Language Processing
CS 781
Data Science for Knowledge Graphs and Text
Total Credits20
1

CS 416 has a prerequisite of CS 415CS 410C, or CS 410P.

2

Students may select CS 730 Introduction to Artificial Intelligence if not already taken to fulfill a required course.