3 Best AI Masters Degree Programs in New Hampshire

AI master’s degree programs New Hampshire offers deserve your attention. AI careers are growing by 32% annually. Machine learning engineers and AI researchers earn average salaries over $100,000, and professionals with a master’s degree earn nearly 20% more than bachelor’s degree holders. New Hampshire provides a robust environment for AI education. The state has 10 institutions that offer programs at degree levels of all types. Master’s graduates in the state earn a median salary of $107,230. This list covers three top New Hampshire AI Programs to help you make a choice.

1. Southern New Hampshire University – MS in Computer Science with AI Concentration

Program Overview and Delivery Format

Southern New Hampshire University structures its MS in Computer Science program as a 30-credit online degree that positions you to design innovative computing solutions in industries of all types. The program accommodates professionals at different career stages, whether you’re continuing in a similar field or entering computer science from another discipline.

You can complete the degree in as few as 12-18 months. The online format operates without set class times and allows you to balance coursework with work and personal obligations. SNHU serves 184,099 students with 14,416 staff members and provides robust academic support uncommon in many online degrees.

The AI concentration represents one of two specialization paths available within the broader MS in Computer Science program. You’ll work with AI tools that are transforming how software is designed and built, applying them at every stage of the development process. This hands-on approach moves beyond theoretical learning into practical application.

Your admission requires demonstrating competency in essential mathematics: statistics, single variable calculus, and linear algebra. Up to 4 foundational courses are available before you begin the core curriculum if you lack a technical background or need to refresh foundational concepts. These preparatory courses help you build confidence and prepare for specialized material ahead. All students gain a deeper understanding of translating theory into practical solutions using emerging technology.

Students with a bachelor’s in computer science can bypass foundational courses and start with advanced material. SNHU also offers an accelerated BS-to-MS pathway where you complete up to 4 graduate-level courses (12 credits) during your bachelor’s program at the undergraduate tuition rate, saving both time and money.

Core Curriculum and AI Specializations

The program architecture is divided into 6 core courses followed by 4 electives or a concentration. Core courses focus on applying existing knowledge to real-life challenges in software development and AI, covering the full lifecycle from inception to deployment: design, development, testing, deployment, and maintenance.

You’ll integrate topics like UI/UX, cybersecurity, and cloud computing throughout the curriculum. The program emphasizes problem solving with advanced computing techniques, application development with best practices, quality assurance and software testing, optimization and efficiency improvement, ethical computing and professional standards, and adaptability to emerging technologies.

You’ll work together with classmates in simulated real-life development environments in later courses, troubleshooting and problem-solving as you put knowledge into practice. This approach reflects how professionals work in the field and develops essential soft skills like teamwork, communication, and project management.

The AI concentration provides in-depth knowledge in one of the fastest-growing fields in technology, with increasing just need for professionals who can develop AI systems, algorithms, and applications. You’ll explore advanced topics like machine learning, deep learning, and generative AI in application development, preparing you to work with the latest tools, techniques, and research developments.

The AI concentration has these four courses:

• Machine Learning
• Deep Learning
• Natural Language Processing
• Applied Artificial Intelligence and Machine Learning

You’ll use tools like Python, PyTorch, cloud-based machine learning platforms, fine-tuning, and pre-training models from Hugging Face. Hands-on projects involve building recommendation systems, image classifiers, and chatbots to create a portfolio of work you can bring into the AI field. The program goes beyond coding to explore important conversations around ethics, security, and industry applications.

You’ll practice integrating generative AI in application development in multiple contexts. Generative AI develops individualized treatment plans in healthcare, helps analyze medical images, and supports nursing workflow management to free up time for more direct patient care. It improves and automates customer support through chatbots and virtual agents while analyzing market trends and generating reports in business environments.

The curriculum targets critical capabilities such as neural networks and ethical considerations tied to AI. You’ll appreciate the broader responsibilities and constraints you’ll encounter. Coverage of compliance standards and ethical issues prepares you to guide through legal and moral complexities in AI deployment.

Career Pathways and Job Opportunities

Software development and AI represent the two most popular career paths for MS in Computer Science graduates. The U.S. Bureau of Labor Statistics projects about 356,700 openings each year, on average, for computer and information technology occupations through 2033. Job prospects for software developers are set to soar 18% through 2033, well above the national average.

Software developers, quality assurance analysts, and testers earned a median annual salary of $130,160 nationally in May 2023. The median annual wage for computer and information technology occupations was $104,420 in 2023. Computer systems analysts, another career path this degree prepares you for, earned a median annual salary of $103,800 nationally as of May 2023.

Software developers earned a median salary of $131,450 in 2024. Computer and information systems managers, a higher position you might advance to more quickly with a master’s degree, earned $171,200 in 2024, with the role projected to grow 17% by 2033. Workers with a master’s degree earned a median salary of $1,840 per week in 2024 compared with $1,543 for those with just a bachelor’s degree, translating to over $15,000 more per year. Master’s degree holders earned 19% more per week in 2024 than those with just a bachelor’s degree on average.

The program prepares you for career paths that include computer and information research scientist, computer programmer, computer systems analyst, database administrator, and web developer. Graduates feel equipped for positions in industry, academia, and government sectors.

While AI tools can accelerate productivity for engineers, they still require human oversight, creativity, and contextual understanding. The combination of a CS degree with an AI focus provides both the stability of a timeless computing foundation and the momentum of a cutting-edge skillset. The U.S. Bureau of Labor Statistics projects 35% growth for information security roles, creating additional opportunities for graduates with AI and security expertise.

Tuition Costs and Financial Aid Options

SNHU offers some of the lowest online tuition rates in the nation. The per-credit cost structure allows you to calculate total expenses based on your specific situation.

The MS in Computer Science requires 30-45 credit hours depending on concentration and foundational course needs. A standard 30-credit program totals $19,770 at regular graduate tuition rates. You’ll pay $19,770 for a 10-course program like this MS in Computer Science. Adding 4 courses (12 credits) increases the total to $27,678 if you need foundational courses.

Active-duty service members receive rates that are substantially reduced at $470 per credit. SNHU supports active-duty service members, veterans, National Guard members, reservists, and military families through various education benefits that include the Post-9/11 GI Bill, Montgomery GI Bill, and Military Tuition Assistance.

The accelerated BS-to-MS pathway offers substantial savings. You complete up to 12 graduate credits during your bachelor’s program at the undergraduate tuition rate of $354 per credit instead of $659. This saves $3,660 on those 12 credits while reducing overall program completion time.

SNHU accepts FAFSA and participates in federal financial aid programs administered by the U.S. Department of Education. Eligible students may qualify for federal grants, federal student loans, and work-study opportunities by completing the Free Application for Federal Student Aid. Online students have access to the same federal financial aid programs as on-campus students, provided they’re enrolled in an eligible degree program and meet federal eligibility requirements.

Around 81% of undergraduates receive aid averaging $3,350. Institutional grants and corporate reimbursement partnerships can further ease overall expenses. 51% of enrolled graduate students receive grants or scholarships, with the average aid amount at $3,691.

SNHU offers scholarships based on financial need, academic achievement, leadership, military service, first-generation status, and field of study. Many employers offer tuition assistance or reimbursement programs. SNHU has partnerships with hundreds of employers throughout the country and allows you to use employer benefits to cover some or all degree costs.

You may also be eligible for tax benefits. The Internal Revenue Service offers tax credits that could reduce the amount of income tax you pay and deductions that could reduce the amount of your income subject to taxation.

Books and supplies add $1,500 per year to your educational expenses, though costs vary by program and course requirements. Technology expenses for online students include reliable internet access and a computer capable of running required software and accessing SNHU’s online learning platform.

The university charges no application fee for undergraduate or graduate programs. SNHU also accepts up to 90 transfer credits toward a bachelor’s degree and reduces the number of courses needed to complete your degree. Previously earned credits can decrease overall costs if you’re transferring from another institution.

A standard master’s at SNHU costs less than a bachelor’s degree in total for the MS in Computer Science program. SNHU’s tuition for a bachelor’s program totals $42,480 without any transfer credits, making the 30-credit master’s program at $19,770 less expensive overall despite higher per-credit costs.

Students can use a combination of funding sources: federal aid, scholarships, employer tuition assistance, and personal payments to manage costs. The student financial services team helps you customize a plan to maximize awards and make your degree as affordable as possible. SNHU ranks high for support services from admission and advising to financial services and career counseling according to 2025 survey data with 8,718 respondents.

2. Dartmouth College – Master’s in Engineering with AI Focus

Program Overview and Delivery Format

Dartmouth’s Thayer School of Engineering offers two distinct pathways for AI education at the master’s level. The on-campus Master of Engineering (MEng) program now has an AI track as one of seven specialized options. The online Master of Engineering in Computer Engineering provides a fully remote degree that focuses on hardware skills powering modern AI systems.

The on-campus MEng program operates as a course-based master’s degree requiring no thesis. You can finish in as little as nine months across three terms if you study full-time. The flexibility exists to extend your timeline based on personal circumstances. This program targets engineers who want rigorous understanding of AI foundations and learning where to use AI. They recognize and anticipate its impacts and become AI architects who can assess different paths forward.

Dartmouth holds unique significance in AI education. The term ‘AI’ was coined at the institution. This legacy informs the school’s approach, which pairs technical rigor with human insight and emphasizes thoughtful use of powerful technologies to boost human capabilities.

The online MEng in Computer Engineering represents Dartmouth’s first online degree and the Ivy League’s first online degree in this area. The program launched in 2024 and equips students with expertise essential for keeping pace with AI technologies embedded in intelligent systems. These range from self-driving cars and autonomous robots to virtual assistants and augmented reality. The inaugural cohort graduated in June 2026.

Coursera partners with Dartmouth to offer the online program. You can take courses off-campus from start to finish, from anywhere in the world. You can complete the online Computer Engineering master’s in as little as 15 months. The program follows a pay-as-you-go model where you pay only for classes in which you’re enrolled per term.

One distinguishing feature of the online program involves integration of hands-on hardware coursework into the remote learning environment. Students receive hardware kits that allow them to complete projects from anywhere around the world. This systems-oriented, human-centered approach trains you to solve problems within complex systems and think over human and societal impact of technologies you create. You complete a capstone project that integrates multiple AI components into functioning hardware-based applications.

Asynchronous virtual lectures couple with group projects that model real-life work environments. Faculty host live online sessions across multiple time zones to offer feedback and support in real time. You can schedule one-on-one meetings with faculty during virtual office hours and access online academic support, student life resources and career services.

The online program attracts diverse students. Most of them are working professionals balancing full-time jobs with part-time study. Students bring strong academic and professional backgrounds. These include experience in mathematics and programming, along with industry expertise from fields ranging from big tech companies and defense contractors to legal professions and the military.

You need a bachelor’s degree prior to starting the online program. The admissions team thinks over applicants in an integrated way and evaluates those with wide-ranging STEM-related educational backgrounds and professional experiences as eligible. Applicants with accredited bachelor’s degrees in engineering or related STEM fields like computer science and physics should be well prepared. Applicants with degrees outside engineering but with relevant STEM experience and skills receive equal treatment.

You’ll benefit from demonstrated knowledge and skills you developed across core foundational areas. These include linear algebra, calculus, probability and statistics, programming (e.g., C, Python), digital logic and analog circuit fundamentals. Some students may be offered conditional admission through Dartmouth’s Performance Pathway. This allows you to take the first course (Machine Learning) as a non-degree student. You earn a satisfactory grade and fulfill additional requirements, then you transition into the full degree program for the following term.

Core Curriculum and AI Specializations

The on-campus MEng AI track prepares engineers to combine and create new AI solutions for society’s benefit. Courses within the program span machine learning, reinforcement learning, game theory, high-dimensional sensing, optimization and signal processing. Both graduate and undergraduate courses emphasize hands-on, project-based learning to prepare engineers to assess, design and implement solutions to real-life problems.

The AI track builds on ongoing efforts to refine curriculum to meet real-life demand. Besides the AI track, Dartmouth Engineering launched an online certificate in practical machine learning in fall 2025. Additional AI-related certificates are expected in coming years.

The online Computer Engineering program follows a nine-course curriculum spanning topics from machine learning and natural language processing to hardware development and intelligent systems design. You’ll take core courses like Advanced Computer Architecture and Embedded Systems. You master the intricacies of digital design, operating systems and cybersecurity. Electives such as Machine Learning and Network Systems expand your expertise to emerge as a well-rounded computer engineering professional.

You’ll learn to make use of AI tools using machine learning, signal processing, computer vision and more to extract, analyze and make sense of large amounts of information. You’ll also design, develop and build computing components and sensors for intelligent systems while participating in hands-on learning with online peers on real-life projects.

Professor Eugene Santos Jr.’s Applied Natural Language Processing course offers one example. Students explore both historical and technical foundations of modern AI language and information systems and how to apply what they learned in final projects. Teams build AI systems capable of both summarizing complex financial documents and answering questions about corporate annual reports. They learn hands-on how to integrate technologies ranging from speech recognition to web search.

The program’s defining characteristic centers on Dartmouth’s systems-oriented, human-centered approach to engineering. Dean Alexis Abramson emphasizes that AI shapes many facets of our lives. Engineers must build skills around technology and science intricacies but also think over profound human and societal implications of their work.

Collaboration tools like Slack and Canva strengthen human connections throughout the program. Regular faculty office hours, career services and a strong alumni network complement these tools. Students receive additional support from teaching assistants and staff who earned a Distinguished Team Award from the Northeast Regional Computing Program for their innovation and collaboration in advancing technology-enhanced education.

Both programs require a bachelor’s degree in engineering or related STEM fields as a prerequisite. The learning outcomes focus on your knowing how to identify, specify and create complex engineering problems beyond undergraduate training. You solve complex engineering problems using advanced methods and techniques. You assess solution quality against technical, economic and societal requirements and analyze complex engineering problems to understand strengths, weaknesses and opportunities for improvement.

Career Pathways and Job Opportunities

Leading companies across sectors of all sizes seek graduates of Dartmouth’s MEng program. Recent alumni have secured engineering jobs at top firms with an average starting salary of $93,000 for the Class of 2025.

The technical knowledge, leadership skills and approach from the Dartmouth MEng program prepare you for advanced roles. You can pursue positions as AI architect, design engineer, engineering manager, manufacturing engineer, process engineer, product development engineer, project engineer, quality assurance engineer, research and development engineer, systems engineer or technical consultant.

The online Computer Engineering program addresses rapid acceleration in computer engineering, especially in the AI realm. Many working professionals seek ways to keep pace with these developments. The program’s flexibility attracts a more diverse group of engineering leaders to pursue a master’s degree in a field that impacts many aspects of our world.

Students come from diverse industries and bring substantial professional backgrounds. The program serves those in big tech companies, defense contractors, legal professions and military roles who just need advanced AI and computer engineering skills while maintaining their current positions.

The Dartmouth MEng degree also serves as a stepping stone for advanced study. Many graduates transition into Dartmouth’s engineering PhD, the PhD-Innovation (PhD-I) Program or the Medical Physics Education Program.

Professor Santos noted that computer engineering professionals must understand not just how to build AI systems but also how to apply technology and evaluate its societal implications. They think over where AI might be heading. This preparation positions graduates to take on leadership roles where they can shape AI’s development and deployment across industries.

Tuition Costs and Financial Aid Options

The total cost of the online MEng in Computer Engineering is $44,000 based on the 2024-2025 academic year. The total cost increased to $46,602 for the 2026-2027 academic year, which is paid per course as students are enrolled.

The online program’s pay-as-you-go model allows you to control costs by paying only for classes in which you’re enrolled each term. This structure provides flexibility for working professionals who may need to adjust their course load based on work commitments.

Need-based financial aid can cover up to 40% of your tuition for all eligible full-time engineering master’s students, both domestic and international, for the on-campus MEng program. You must request financial aid while submitting your application and complete necessary forms. These include the CSS Profile (Dartmouth CSS Code: 3355) and the FAFSA for US citizens.

Check ‘Yes’ on the Financial Aid Form when you fill out your graduate program application, even if you’re just thinking over applying for aid. This indication won’t affect the processing of your application or the admissions decision. US citizens or permanent residents must submit the CSS Profile, parents’ 2024 tax returns and W-2 forms through IDOC on the CollegeBoard website, and the 2026-2027 FAFSA (School Code: 002573) to ensure timely financial aid treatment.

International students need to submit the CSS Profile and parents’ 2024 tax forms or income statements to the Financial Aid Office. You’ll need to provide parent information on the CSS Profile regardless of dependency status. You may be asked to complete a Household B CSS Profile and submit copies of your non-custodial parent’s tax documents if applicable.

Thayer’s commitment of financial assistance continues as long as you remain in good academic standing and make normal progress in meeting degree requirements if you’re eligible for financial aid. This is nine months (three terms) for a full-time MEng student.

US citizens and permanent residents are eligible to apply for federal loans administered by the US Department of Education to help defray costs of tuition and other education expenses. You must be enrolled at least part-time to be eligible. This is defined as taking a minimum of just one course per term for the online MEng: Computer Engineering.

Current Dartmouth BE students applying to the MEng program may be eligible for need-based ‘BE aid’ for BE-eligible terms. These include partial-tuition scholarships, hourly employment as teaching assistants or in other roles, fellowships and loans. Submit a BE program plan with your MEng application if you’re planning to complete BE and MEng degree requirements at the same time.

A one-time graduate student activity fee of $80 will also be charged in the first term for on-campus students. The online program delivers the same degree as the on-campus program but at lower cost due to its delivery format.

3. Rivier University – MS in Applied Artificial Intelligence

Program Overview and Delivery Format

Rivier University positions its MS in Applied Artificial Intelligence program in Nashua, at the heart of a high-tech hub that provides strategic access to leading industries. This geographic advantage sets the program apart and places you within reach of many technology employers from Manchester to the greater Boston area.

The 30-credit program operates in both on-campus and online formats. You can complete coursework according to your schedule and location priorities. You can finish the degree in approximately 2 years, with each course running 7 weeks. This accelerated course structure means you’ll move through material efficiently while maintaining depth of learning.

Rivier offers six term starts per year. You can begin in September, October, January, March, May, or July. Applications are reviewed as received throughout the year. This flexibility accommodates professionals who need to line up their education with career transitions, project completions, or personal circumstances rather than waiting for traditional fall enrollment.

The program targets students seeking to make use of AI’s transformative power to solve real-life problems responsibly. You’ll gain hands-on experience with industry-leading tools like TensorFlow, PyTorch, and OpenAI while emphasizing critical areas such as AI ethics, transparency, and human-centered design. Whether your goal involves healthcare, finance, robotics, or another high-impact field, the curriculum provides technical depth coupled with the moral foundation needed to lead in the ever-changing AI landscape.

Rivier also offers a 3+1 program pathway where you can earn both a bachelor’s and master’s in four years with just one additional year of study following a three-year applied bachelor’s degree. This accelerated option positions you for early career advancement and long-term professional success.

Core Curriculum and AI Specializations

The program requires nine specific courses that blend foundational AI principles with practical applications. You’ll progress through:

• COMP 545 Artificial Intelligence & Machine Learning
• COMP 549 Robotics
• COMP 560 Python Programming
• COMP 616 Data Mining
• COMP 664 Knowledge-Based Systems
• COMP 670 Big Data
• COMP 671 Deep Learning
• COMP 672 Speech and Language Processing
• COMP 688 Applied AI Capstone Project

The curriculum focuses on machine learning, natural language processing, computer vision, and data-driven decision-making. You’ll explore topics such as ethical AI, model explainability, and generative technologies while developing intelligent, responsible AI solutions to address real-life challenges.

Rivier’s approach combines theory with practical experience and builds on your existing skill sets and confidence in AI. You’ll apply advanced techniques in deep learning, natural language processing, and computer vision throughout the program. You’ll learn to build and deploy AI/ML systems using modern frameworks and communicate complex technical concepts clearly to a variety of audiences. You’ll also address societal and moral implications of AI in practical contexts.

The capstone project serves as the culminating experience where you integrate knowledge across all coursework to develop a complete AI solution. This portfolio piece demonstrates your capabilities to potential employers.

Career Pathways and Job Opportunities

The program prepares you for highly in-demand and emerging roles like machine learning engineer, data scientist, AI software developer, robotics programmer, and AI research analyst. According to the U.S. Bureau of Labor Statistics, employment for computer and information research scientists is projected to grow by 26 percent from 2023 to 2033, much faster than the average for all occupations.

A master’s degree improves your career prospects and earnings by a lot through advanced, specialized knowledge that sets you apart. Employers in the field of artificial intelligence seek professionals who can not only understand complex AI models but also design and apply real-life solutions. Professionals with a master’s degree earn, on average, nearly 20% more than those with only a bachelor’s degree. This gap is often wider in fast-growing sectors like AI, making a master’s degree a strategic investment in both immediate opportunities and long-term earning potential.

Rivier’s location in Nashua provides access to many internships and job opportunities in the region’s technology sector. This geographic positioning improves your preparation and increases success in launching careers in technology.

Tuition Costs and Financial Aid Options

Rivier charges $733 per credit hour for the MS in Applied Artificial Intelligence for the 2026-27 academic year. The 30-credit program totals $21,990 in tuition costs. Each 7-week course spans approximately half a standard semester and allows you to complete multiple courses per year.

Rivier University holds accreditation from the New England Commission of Higher Education (NECHE). Business courses within the degree are accredited by the Accreditation Council for Business Schools and Programs (ACBSP). These accreditations ensure program quality and may affect your eligibility for certain financial aid programs and employer tuition reimbursement.

The institution participates in federal financial aid programs. Eligible students can complete the FAFSA to access federal grants, loans, and work-study opportunities. Many employers offer tuition assistance or reimbursement programs that can offset costs. You may also be eligible for tax benefits through IRS credits and deductions that reduce your taxable income following graduation.

Next Steps

New Hampshire’s AI master’s programs offer advantages depending on your priorities. SNHU delivers affordability and flexibility at $19,770 for working professionals who want online education. Dartmouth provides Ivy League prestige with hands-on hardware experience, though at a higher investment of $46,602. Rivier positions you in a high-tech hub for just $21,990 with accelerated 7-week courses.

Each program prepares you for the 32% annual growth in AI careers and the 20% salary premium that master’s graduates command. Your next step is identifying which format and cost structure best match your career goals. The AI field needs qualified professionals now, so pick the program that fits your situation and start your application.