Master’s In Artificial Intelligence
The Master of Science in Artificial Intelligence (M.S.) at Grand Valley State University is a comprehensive graduate program designed to equip students with advanced knowledge and practical skills in modern AI technologies. This 33-credit program blends theoretical foundations with hands-on application across areas such as machine learning, computer vision, natural language processing, human-computer interaction, and ethical AI. Offered through the College of Computing, the program focuses on preparing graduates to solve real-world challenges using innovative AI solutions.
- You can start the process for just 5000 rupees
- Post-study work visa for 2 years
- 90% Placement rate
Intakes
January 2026
Duration
24 months
Application Deadline
December
Fees
$27,120
Campus Location
Allendale
- Nationally ranked Christian university committed to developing transformational leaders through faith-based education.
- Offers over 70 undergraduate and graduate programs.
- Maintains high academic standards with a focus on communication, critical thinking, and quantitative reasoning.
- Provides accelerated degree programs that can be completed in as little as 19 months with 7-week course structures.
- Features small class sizes with industry-leading faculty for personalized attention and mentorship.
- Prepares students for fulfilling careers while fostering meaningful relationships with Christ.
Our alumni work at top companies
Flexibility of study mode: Whether you are based internationally or working, you have options ranging from fully online to low-residency.
Strong industry relevance: The curriculum covers machine learning, computer vision, natural language processing, human-computer interaction, ethics & bias in AI.
Accredited and recognised programme: ABET accreditation gives credibility and helps in global recognition.
Supportive faculty & research opportunities: Faculty engaged in current AI/ML research (for example in precision agriculture, NLP, computer vision) provide real-world context and mentorship.
Career & internship pathways: GVSU highlights careers such as computer programmer, software developer, systems engineer/architect with median and high percentile earnings provided.
Good for international students: The rolling admissions model and online/low-residency options make it accessible globally.
Credit requirement: Minimum of 33 credits required for completion.
Delivery formats:
Face-to-face: Attend campus for all/most instruction.
Hybrid: Some campus visits plus online instruction.
Low-residency: Come to campus no more than once per semester (e.g., weekend).
Online: Fully remote; no campus visits required.
Programme schedule benefits: The flexibility allows working professionals or international students to fit study around commitments.
Benefit: The curriculum emphasises practical lab work, collaborative projects, and cross-disciplinary exposure – ensuring that students don’t just learn theory but develop hands-on skills.
- Flexible Schedule – Classes held one weekend per month for convenience.
- Accelerated Learning – 7-week-long classes for efficient completion.
- Personalized Advising – One-on-one academic and career support.
- Expert Faculty – Learn from industry professionals with real-world experience.
- Career-Ready Curriculum – Integrates Christian spiritual formation with practical skills.
- Affordable Tuition – $660 per unit (Financial Aid available).
- Military-Friendly – Proud Yellow Ribbon College for Veterans.
A minimum GPA (undergraduate) of 3.0 (on a 4.0 scale) is required.
A resume detailing work experience and accomplishments.
A personal statement of career goals, background experience, and how the programme will assist professional objectives.
Two recommendations (academic or professional) submitted online.
Knowledge of a programming language equivalent to 2-3 undergraduate courses.
Knowledge of applied statistics.
Application deadlines: For international students: May 1 (Fall intake) and October 15 (Winter intake); for domestic students: July 1 (Fall) and December 1 (Winter)
Core Courses
Required:
AI 501 – Introduction to Artificial Intelligence
CIS 635 – Knowledge Discovery and Data Mining
Choose 2 of the followingAI 502 – Generative Artificial Intelligence
AI 511 – AI Ethics and Bias
AI 545 – Machine Learning Operations
CIS 678 – Machine Learning
SE 511 – Introduction to Software Engineering
Track Courses
Students pick one track of their choice (as listed above). For example:
Human-Centered AI track includes HCC 531 – Human AI Interaction (required) + 3 of (AI 502, AI 521, AI 551, CIS 671, HCC 502)
Edge & Cloud AI track includes AI 541 – Edge AI (required) + 3 of (AI 521, CIS 654, CIS 655, SE 531)
AI Systems track includes AI 545 – Machine Learning Operations + SE 513 – Software Testing (required) + 2 additional courses from a broad list.
Cybersecurity & AI track includes 4 of (AI 511, CIS 518, CIS 616, CIS 619, CYB 520)
Electives
At least 3 credits of electives required; if choosing the project option, up to 6 credits may be needed. Electives can be any 500- or 600-level course in the College of Computing.
Capstone
Option 1: Master’s Project — CIS 693
Option 2: Thesis sequence — CIS 690 + CIS 695 = 6 credits total.
The programme highlights roles such as Computer Programmers, Computer Systems Engineers/Architects, and Software Developers as typical career outcomes.
Earnings data (USA basis):
For Computer Programmers: 50th percentile ~ US$68 ,021.02 per annum.
For Software Developers: 50th percentile ~ US$107,501.57 per annum.
Internship/industry-relevant exposure: The GVSU Applied Computing Institute (ACI) engages in real‐world AI/ML projects (e.g., edge ML, NLP chatbots) with industry collaboration, thereby enhancing student hands-on experience.
Graduates of the programme are well-positioned for rapid-growing fields, given AI’s strong demand and the programme’s emphasis on practical skills, ethics, and emerging tech.
The programme draws on faculty from the College of Computing whose areas of expertise include AI, machine learning, computer vision, human-computer interaction, applied statistics and data mining.
Example: Kamrul Hasan (PhD) is an Assistant Professor in the College of Computing whose research includes machine learning, natural language processing, computer vision, and applied AI in domains such as agriculture and healthcare.
The faculty directory shows many educators whose specialisations align with the core and track courses of the programme—ensuring students are taught by active researchers and professionals in the field.
Application process
Our admissions close once the requisite number of students is enrolled in the upcoming cohort. Apply early to secure your place.
1. Apply Online
Fill out the online application form. No additional tests or prerequisites required.
2. Pre-Screening
Our program team will contact you to confirm your eligibility.
3. Application Assessment
If selected, you will be offered a seat in the upcoming cohort. Pay the fee to secure your seat
4. Join the program
Once accepted, you will receive an official offer letter with instructions on how to pay and join the program. Limited Seats Available
