Master of Science in Artificial Intelligence (MSAI)
The Master of Science in Artificial Intelligence (MSAI) is a comprehensive program designed to prepare individuals for success in the dynamic field of artificial intelligence. By combining theoretical knowledge with practical applications, the program provides a deep dive into essential AI concepts such as machine learning, natural language processing, computer vision, and AI algorithms.
With a multidisciplinary approach, the program integrates areas like computer science, mathematics, statistics, and cognitive science. Participants will gain hands-on experience using cutting-edge tools and technologies while honing critical thinking skills to tackle complex AI challenges. The program also places a strong emphasis on the ethical considerations of AI, equipping students to thoughtfully address societal implications of AI innovations.
Key Learning Outcomes:
- Understand and apply core concepts, theories, and methodologies to address AI-related problems.
- Analyze and interpret data from AI domains, including machine learning, deep learning, natural language processing, and data mining, to support informed decision-making.
- Contribute to AI advancements through original research and innovation, leveraging technical knowledge to explore new business opportunities.
- Evaluate ethical, social, and legal implications of AI development and deployment to ensure responsible and sustainable use of AI technologies.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Level
Graduate
Anytime, Anywhere
Totally Online
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Full-Time Student:
You take six credits (two courses) per eight-week term.
Part-Time Student:
You take three credits (one course) per eight-week term.
Curriculum/Courses (30 Credit Hours)
- Statistics & Quantitative Methods (3 CH)
- Project Management (3 CH)
- Data Science & Big Data (3 CH)
- Foundations of Artificial Intelligence (3 CH)
- Natural Language Processing (3 CH)
- AI Ethics & Responsibilities (3 CH)
- Deep Learning (3 CH)
- Machine Learning (3 CH)
- Algorithm Design & Analysis (3 CH)
- AI Capstone Project (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
- For any additional information or help, please email [email protected].
Master of Science in Artificial Intelligence (MSAI)
The Master of Science in Artificial Intelligence (MSAI) is a comprehensive program designed to prepare individuals for success in the dynamic field of artificial intelligence. By combining theoretical knowledge with practical applications, the program provides a deep dive into essential AI concepts such as machine learning, natural language processing, computer vision, and AI algorithms.
With a multidisciplinary approach, the program integrates areas like computer science, mathematics, statistics, and cognitive science. Participants will gain hands-on experience using cutting-edge tools and technologies while honing critical thinking skills to tackle complex AI challenges. The program also places a strong emphasis on the ethical considerations of AI, equipping students to thoughtfully address societal implications of AI innovations.
Key Learning Outcomes:
- Understand and apply core concepts, theories, and methodologies to address AI-related problems.
- Analyze and interpret data from AI domains, including machine learning, deep learning, natural language processing, and data mining, to support informed decision-making.
- Contribute to AI advancements through original research and innovation, leveraging technical knowledge to explore new business opportunities.
- Evaluate ethical, social, and legal implications of AI development and deployment to ensure responsible and sustainable use of AI technologies.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Level
Graduate
Anytime, Anywhere
Totally Online
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Full-Time Student:
You take six credits (two courses) per eight-week term.
Part-Time Student:
You take three credits (one course) per eight-week term.
Curriculum/Courses (30 Credit Hours)
- Statistics & Quantitative Methods (3 CH)
- Project Management (3 CH)
- Data Science & Big Data (3 CH)
- Foundations of Artificial Intelligence (3 CH)
- Natural Language Processing (3 CH)
- AI Ethics & Responsibilities (3 CH)
- Deep Learning (3 CH)
- Machine Learning (3 CH)
- Algorithm Design & Analysis (3 CH)
- AI Capstone Project (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
For any additional information or help, please email [email protected].
Master of Science in Artificial Intelligence (MSAI)
The Master of Science in Artificial Intelligence (MSAI) is a comprehensive program designed to prepare individuals for success in the dynamic field of artificial intelligence. By combining theoretical knowledge with practical applications, the program provides a deep dive into essential AI concepts such as machine learning, natural language processing, computer vision, and AI algorithms.
With a multidisciplinary approach, the program integrates areas like computer science, mathematics, statistics, and cognitive science. Participants will gain hands-on experience using cutting-edge tools and technologies while honing critical thinking skills to tackle complex AI challenges. The program also places a strong emphasis on the ethical considerations of AI, equipping students to thoughtfully address societal implications of AI innovations.
Key Learning Outcomes:
- Understand and apply core concepts, theories, and methodologies to address AI-related problems.
- Analyze and interpret data from AI domains, including machine learning, deep learning, natural language processing, and data mining, to support informed decision-making.
- Contribute to AI advancements through original research and innovation, leveraging technical knowledge to explore new business opportunities.
- Evaluate ethical, social, and legal implications of AI development and deployment to ensure responsible and sustainable use of AI technologies.
Program Duration
The academic year consists of three semesters: Fall (divided into two eight-week terms), Spring (divided into two eight-week terms), and Summer (a single eight-week term).
Level
Graduate
Anytime, Anywhere
Totally Online
Academic Calendar
| Semester | Class Start |
|---|---|
| Spring 2025 Term 1 | January 6, 2025 |
| Spring 2025 Term 2 | March 10, 2025 |
| Summer 2025 | June 9, 2025 |
Admission Requirements
If you are a U.S. citizen, permanent resident, or an international student studying remotely from your home country, and have already earned a bachelor’s degree, you may be eligible to pursue a master’s degree. To apply, the following materials must be submitted:
- A completed application form.
- Official transcripts from ALL previously attended post-secondary institutions.
- A well-crafted essay explaining your motivation for pursuing graduate studies, your future career goals, and how you plan to succeed in graduate school.
- A current resume highlighting your academic and professional background.
- GRE/GMAT: Graduates from regionally accredited colleges or universities are exempt from the GRE/GMAT requirement. However, those who graduated from nationally accredited institutions must complete the entrance exam.
- English Proficiency Requirement:
- You can check the English Proficiency Exemption
- Test Score TOEFL iBT: 79
- Test Score IELTS: 6.5
Full-Time Student:
You take six credits (two courses) per eight-week term.
Part-Time Student:
You take three credits (one course) per eight-week term.
Curriculum/Courses (30 Credit Hours)
- Statistics & Quantitative Methods (3 CH)
- Project Management (3 CH)
- Data Science & Big Data (3 CH)
- Foundations of Artificial Intelligence (3 CH)
- Natural Language Processing (3 CH)
- AI Ethics & Responsibilities (3 CH)
- Deep Learning (3 CH)
- Machine Learning (3 CH)
- Algorithm Design & Analysis (3 CH)
- AI Capstone Project (3 CH)
Tuition Fees
- Initial Application Fees: $105.
- Study Tuition Fees: $575 per credit hour, $17250 total for the program.
Finally, please fill out the following free application form to enable us to proceed with your application.
For any additional information or help, please email [email protected]