COmputer Science
The Computer Science Artificial Intelligence option at UNH dives deep into algorithm design and analysis, preparing you for cutting-edge careers in software development, data science, and AI.
This program equips you with the knowledge to excel in high-demand industries, making you a sought-after expert in computer science innovation
*Number of courses and course credit hours may vary, please reach out to your academic advisor for exact requirements.
The only first-year research and innovation program of its type in the region!
The Innovation Scholars program, open to all CEPS majors, offers students an exceptional launch to their college experience. Through multiple interdisciplinary cohorts and hands-on research in world-class facilities, students build confidence, gain real experience, and open doors to paid research, internships, and future graduate study. It’s a proven program that helps students shape their future from day one.
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The Computer Science Artificial intelligence option at UNH dives deep into algorithm design and analysis, preparing you for cutting-edge careers in software development, data science, and AI. This program equips you with the knowledge to excel in high-demand industries, making you a sought-after expert in computer science innovation.
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.
The B.A. in Computer Science will allow students to combine the study of computer science with the study of another field. Given the emergence of computational approaches to virtually all areas of scholarship and creative expression, it is important to offer this flexibility. The three tracks in the B.A. program contain the same computer science core as the B.S. program, but give more control to the student to choose the complementary and advanced courses.
This sample degree plan serves as a general guide; students collaborate with their academic advisor to develop a personalized degree plan to meet their academic goals and program requirements.
| First Year | ||
|---|---|---|
| Fall | Credits | |
| CS 400 | Introduction to Computing | 2 |
| CS 415 | Introduction to Computer Science I | 4 |
| IT 403 | Introduction to Internet Technologies | 4 |
| MATH 425 | Calculus I | 4 |
| Discovery Course (or Foreign Language) | 4 | |
| Credits | 18 | |
| Spring | ||
| CS 416 | Introduction to Computer Science II | 4 |
| CS 420 | Foundations of Programming for Digital Systems | 4 |
| MATH 539 or MATH 531 | Introduction to Statistical Analysis or Mathematical Proof | 4 |
| ENGL 401 | First-Year Writing | 4 |
| Credits | 16 | |
| Second Year | ||
| Fall | ||
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| CS 518 or CS 527 | Introduction to Software Engineering or Fundamentals of Cybersecurity | 4 |
| CS 501 | Professional Ethics and Communication in Technology-related Fields (or Discovery Course) | 4 |
| MATH 531 or MATH 539 | Mathematical Proof or Introduction to Statistical Analysis | 4 |
| Credits | 16 | |
| Spring | ||
| CS 520 | Computer Organization and System-Level Programming | 4 |
| CS 527 or CS 518 | Fundamentals of Cybersecurity or Introduction to Software Engineering | 4 |
| Discovery Course (or CS 501) | 4 | |
| Discovery Course (or Foreign Language) | 4 | |
| Credits | 16 | |
| Third Year | ||
| Fall | ||
| CS 659 | Introduction to the Theory of Computation | 4 |
| CS Elective Course | 4 | |
| General Elective Course | 4 | |
| Discovery Course | 4 | |
| Credits | 16 | |
| Spring | ||
| CS Elective Course | 4 | |
| Discovery Course | 4 | |
| General Elective Course | 4 | |
| General Elective Course | 4 | |
| Credits | 16 | |
| Fourth Year | ||
| Fall | ||
| CS 791 | Senior Project I | 2 |
| CS Elective Course | 4 | |
| Discovery Course | 4 | |
| General Elective Course | 4 | |
| General Elective Course | 4 | |
| Credits | 18 | |
| Spring | ||
| CS 792 | Senior Project II | 2 |
| CS Elective Course | 4 | |
| Discovery Course | 4 | |
| General Elective Course | 4 | |
| Credits | 14 | |
| Total Credits | 130 | |
Discovery Course: Historical Perspectives, Humanities, Fine and Performing Arts, Social Science, World Cultures, Physical Science Discovery Lab, Biological Science Discovery Lab.
One Discovery or General Elective course must have the Writing Intensive (WI) attribute.
All Major, Option and Elective Requirements as indicated.
*Major GPA requirements as indicated.
Computer science majors must maintain an overall grade-point average of 2.0 or better in all required computer science, mathematics, and computer engineering courses in order to graduate. If at the end of any semester, including the first, a student's cumulative grade-point average in these courses falls below 2.0, the student may not be allowed to continue as a CS major.
The following courses or their equivalents must be completed with a grade of C- or better in order to meet the CS major requirements: CS 415, CS 416, CS 420, CS 515, CS 520, and IT 403.
Students are expected to demonstrate consistent progress towards the satisfaction of the core degree requirements and are allowed two repeats of the aforementioned courses before being subject to removal from the program. This can be a single class repeated twice or two classes repeated once. Students may petition to be reinstated after a one-year absence from the program.
If a student wishing to transfer into the computer science major has any coursework that is applicable to the major, the grades in those courses must satisfy the minimum grade requirements for the B.S. degree in computer science. The student must have an overall grade-point average of 2.0 or better in all courses taken at the university.
| Code | Title | Credits |
|---|---|---|
| Computer Science Courses | ||
| CS 400 | Introduction to Computing | 2 |
| CS 415 | Introduction to Computer Science I | 4 |
| or CS 410P | Introduction to Scientific Programming/Python | |
| or CS 410C | Introduction to Scientific Programming/C | |
| CS 416 | Introduction to Computer Science II | 4 |
| CS 420 | Foundations of Programming for Digital Systems | 4 |
| IT 403 | Introduction to Internet Technologies | 4 |
| CS 501 | Professional Ethics and Communication in Technology-related Fields | 4 |
| CS 515 | Data Structures and Introduction to Algorithms | 4 |
| CS 518 | Introduction to Software Engineering | 4 |
| CS 520 | Computer Organization and System-Level Programming | 4 |
| CS 527 | Fundamentals of Cybersecurity | 4 |
| CS 791 & CS 792 | Senior Project I and Senior Project II | 4 |
| or CS 799 | Thesis | |
| Computer Science Electives 1 | ||
| Select four courses from the following: | 16 | |
CS 550 | Foundations of Machine Learning | |
CS 619 | Introduction to Object-Oriented Design and Development | |
CS 674 | Fundamentals of Statistical Learning I | |
CS 675 | Fundamentals of Statistical Learning II | |
CS 730 | Introduction to Artificial Intelligence | |
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 758 | Algorithms | |
CS 759 | Natural Language Processing | |
CS 781 | Data Science for Knowledge Graphs and Text | |
| Mathematics Courses | ||
| MATH 425 | Calculus I | 4 |
| MATH 531 | Mathematical Proof | 4 |
| MATH 539 | Introduction to Statistical Analysis | 4 |
| or MATH 540 | Probability & Statistics | |
| or MATH 644 | Statistics for Engineers and Scientists | |
| CS 659 | Introduction to the Theory of Computation | 4 |
| Science Courses 2 | ||
| One Discovery Biological Science (BS) with Discovery Lab | 4 | |
| One Discovery Physical Science (PS) with Discovery Lab | 4 | |
| Discovery requirements not already covered by required courses | 20 | |
CS 619, CS 757 and CS 758 cover computational and mathematical methods that are important in artificial intelligence.
Courses must carry the Discovery attributes of Biological Science or Physical Science and include Discovery lab (DLAB).
Program Learning Outcomes
Graduates of the UNH B.A. CS programs will have an ability to:Those interested in the Computer Science: Artificial Intelligence Option major may also be interested in the following advanced degrees. Students in the program also have the opportunity to participate in the UNH accelerated master’s program.
