Master’s in Computer Science (MCS):
Artificial Intelligence and Data Science Track
Email: icspro@hawaii.edu
Phone: 808-956-7420
Email: icspro@hawaii.edu
Phone: 808-956-7420
Email: icspro@hawaii.edu
Phone: 808-956-7420
• Computer science/Engineering undergraduates who are looking for specialized training in AI and data science
• STEM graduates and Individuals from fields like finance and healthcare
• Those involved in research and want to integrate AI and data science methodologies into their work
• Computer science/Engineering undergraduates who are looking for specialized training in AI and data science
• STEM graduates and Individuals from fields like finance and healthcare
• Those involved in research and want to integrate AI and data science methodologies into their work
• Computer science/Engineering undergraduates who are looking for specialized training in AI and data science
• STEM graduates and Individuals from fields like finance and healthcare
• Those involved in research and want to integrate AI and data science methodologies into their work
• Real-world projects and internships
• Minimum 70% online and designed for working professionals
• Enhance your professional profile with applied AI skills that complement your domain expertise, preparing you for roles such as Data Analyst, AI Implementation Specialist, or Technology Consultant in your field
• Tap into a strong local network of employers and internship partners
• Build a portfolio that sets you apart in tech job markets locally and globally
• Real-world projects and internships
• Minimum 70% online and designed for working professionals
• Enhance your professional profile with applied AI skills that complement your domain expertise, preparing you for roles such as Data Analyst, AI Implementation Specialist, or Technology Consultant in your field
• Tap into a strong local network of employers and internship partners
• Build a portfolio that sets you apart in tech job markets locally and globally
• Real-world projects and internships
• Minimum 70% online and designed for working professionals
• Enhance your professional profile with applied AI skills that complement your domain expertise, preparing you for roles such as Data Analyst, AI Implementation Specialist, or Technology Consultant in your field
• Tap into a strong local network of employers and internship partners
• Build a portfolio that sets you apart in tech job markets locally and globally
The Master’s in Computer Science (MCS) at the University of Hawaiʻi at Mānoa equips you with cutting-edge skills in artificial intelligence, data science, and applied computing. Designed for working professionals and recent graduates, this program emphasizes practical training, real-world applications, and collaborative industry experiences. Through the MCS, you will:
• Master Core Computing Techniques
• Build expertise in applied computing fundamentals with industry-leading tools and techniques designed for non-specialists. Learn Generative-AI assisted programming using Python, master essential frameworks like PyTorch and Hugging Face, and develop practical skills in process automation, AI model fine-tuning, data processing, and visualization. This certificate equips professionals from any background with the technical capabilities to harness modern computing power in their field. Learn to use large language models (LLMs) as programming co-pilots and collaborative tools to increase efficiency and creativity in real-world problem solving
• Gain Hands-On Industry Experience
• Complete an internship within your own workplace or with local and mainland companies, solving real-world challenges that bridge academic knowledge with professional practice
• Apply Data Science and AI in Real Contexts
• Develop skills in data wrangling, machine learning, and advanced AI methodologies tailored for use in business, healthcare, environmental science, and other fields
• Prepare for High-Growth Careers
• Complete your certificate with hands-on experience through numerous practical projects and a culminating real-world internship that prepares you for in-demand roles in technology, analytics, and innovation-driven fields
The Master’s in Computer Science (MCS) at the University of Hawaiʻi at Mānoa equips you with cutting-edge skills in artificial intelligence, data science, and applied computing. Designed for working professionals and recent graduates, this program emphasizes practical training, real-world applications, and collaborative industry experiences. Through the MCS, you will:
• Master Core Computing Techniques
• Build expertise in applied computing fundamentals with industry-leading tools and techniques designed for non-specialists. Learn Generative-AI assisted programming using Python, master essential frameworks like PyTorch and Hugging Face, and develop practical skills in process automation, AI model fine-tuning, data processing, and visualization. This certificate equips professionals from any background with the technical capabilities to harness modern computing power in their field. Learn to use large language models (LLMs) as programming co-pilots and collaborative tools to increase efficiency and creativity in real-world problem solving
• Gain Hands-On Industry Experience
• Complete an internship within your own workplace or with local and mainland companies, solving real-world challenges that bridge academic knowledge with professional practice
• Apply Data Science and AI in Real Contexts
• Develop skills in data wrangling, machine learning, and advanced AI methodologies tailored for use in business, healthcare, environmental science, and other fields
• Prepare for High-Growth Careers
• Complete your certificate with hands-on experience through numerous practical projects and a culminating real-world internship that prepares you for in-demand roles in technology, analytics, and innovation-driven fields
The Master’s in Computer Science (MCS) at the University of Hawaiʻi at Mānoa equips you with cutting-edge skills in artificial intelligence, data science, and applied computing. Designed for working professionals and recent graduates, this program emphasizes practical training, real-world applications, and collaborative industry experiences. Through the MCS, you will:
• Master Core Computing Techniques
• Build expertise in applied computing fundamentals with industry-leading tools and techniques designed for non-specialists. Learn Generative-AI assisted programming using Python, master essential frameworks like PyTorch and Hugging Face, and develop practical skills in process automation, AI model fine-tuning, data processing, and visualization. This certificate equips professionals from any background with the technical capabilities to harness modern computing power in their field. Learn to use large language models (LLMs) as programming co-pilots and collaborative tools to increase efficiency and creativity in real-world problem solving
• Gain Hands-On Industry Experience
• Complete an internship within your own workplace or with local and mainland companies, solving real-world challenges that bridge academic knowledge with professional practice
• Apply Data Science and AI in Real Contexts
• Develop skills in data wrangling, machine learning, and advanced AI methodologies tailored for use in business, healthcare, environmental science, and other fields
• Prepare for High-Growth Careers
• Complete your certificate with hands-on experience through numerous practical projects and a culminating real-world internship that prepares you for in-demand roles in technology, analytics, and innovation-driven fields
$650 per credit for Resident and online students
$1402 per credit for Non-resident students (face to face classes)
$650 per credit for Resident and online students
$1402 per credit for Non-resident students (face to face classes)
$650 per credit for Resident and online students
$1402 per credit for Non-resident students (face to face classes)
Year 1
Fall Semester
ICS 601: Applied Computing Industry Seminar (3 credits)
ICS 603: Applied Computing Fundamentals(3 credits)
Spring Semester
ICS 604: Applied Data Science (3 credits)
ICS 605: Applied AI (3 credits)
Summer Semester
ICS 602: Practical Problem Solving with Algorithms (3 credits)
Year 2
Fall Semester
ICS 635: Machine Learning (3 credits)
ICS elective: 400-600 level course with program director approval (3 credits)
Spring Semester
ICS 661: Advanced Artificial Intelligence (3 credits)
ICS 609: Applied Computing Internship (3 credits)*
Summer Semester
ICS 609: Applied Computing Internship (3 credits)*
*ICS 609 is taken 2 times for a total of 6 credits
Year 1
Fall Semester
ICS 601: Applied Computing Industry Seminar (3 credits)
ICS 603: Applied Computing Fundamentals(3 credits)
Spring Semester
ICS 604: Applied Data Science (3 credits)
ICS 605: Applied AI (3 credits)
Summer Semester
ICS 602: Practical Problem Solving with Algorithms (3 credits)
Year 2
Fall Semester
ICS 635: Machine Learning (3 credits)
ICS elective: 400-600 level course with program director approval (3 credits)
Spring Semester
ICS 661: Advanced Artificial Intelligence (3 credits)
ICS 609: Applied Computing Internship (3 credits)*
Summer Semester
ICS 609: Applied Computing Internship (3 credits)*
*ICS 609 is taken 2 times for a total of 6 credits
Year 1
Fall Semester
ICS 601: Applied Computing Industry Seminar (3 credits)
ICS 603: Applied Computing Fundamentals(3 credits)
Spring Semester
ICS 604: Applied Data Science (3 credits)
ICS 605: Applied AI (3 credits)
Summer Semester
ICS 602: Practical Problem Solving with Algorithms (3 credits)
Year 2
Fall Semester
ICS 635: Machine Learning (3 credits)
ICS elective: 400-600 level course with program director approval (3 credits)
Spring Semester
ICS 661: Advanced Artificial Intelligence (3 credits)
ICS 609: Applied Computing Internship (3 credits)*
Summer Semester
ICS 609: Applied Computing Internship (3 credits)*
*ICS 609 is taken 2 times for a total of 6 credits
• Bachelor’s degree in: Computer Science or closely related field, or In any field + GCERT in Applied Computing with a 3.7 GPA
• A cumulative undergraduate GPA of at least 3.0 (on a 4.0 scale)
• Statement of Purpose outlining career goals and motivation
• Bachelor’s degree in: Computer Science or closely related field, or In any field + GCERT in Applied Computing with a 3.7 GPA
• A cumulative undergraduate GPA of at least 3.0 (on a 4.0 scale)
• Statement of Purpose outlining career goals and motivation
• Bachelor’s degree in: Computer Science or closely related field, or In any field + GCERT in Applied Computing with a 3.7 GPA
• A cumulative undergraduate GPA of at least 3.0 (on a 4.0 scale)
• Statement of Purpose outlining career goals and motivation
• Students registered for 4 or more graduate credit hours may be eligible for financial aid. For more information and to apply for financial aid, please go to the Financial Aid Services webpage.
• Students registered for 4 or more graduate credit hours may be eligible for financial aid. For more information and to apply for financial aid, please go to the Financial Aid Services webpage.
• Students registered for 4 or more graduate credit hours may be eligible for financial aid. For more information and to apply for financial aid, please go to the Financial Aid Services webpage.