MS in Artificial Intelligence, Long Island University Post (LIU Post)

24 Months

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About this course

The MS in Artificial Intelligence at Long Island University is a comprehensive program supported by a state-of-the-art learning and design center in partnership with Dassault Systems. It offers students the opportunity to engage in research projects and develop prototypes using industry-standard big data and AI platforms. The coursework covers a broad spectrum of AI applications, including robotics, virtual reality, cybersecurity, drug design, and data analytics. The program emphasizes practical industry applications like self-driving vehicles, AI-assisted surgery, stock market prediction, voice processing, and advanced manufacturing. With a combination of core modules, specialization choices, and elective options, students are prepared for careers harnessing cutting-edge AI technologies in diverse fields.

Why this course is highly recommended

This program is particularly compelling because it combines theoretical knowledge with industry-relevant practical experience. The partnership with Dassault Systems provides access to advanced platforms for research and prototype development, simulating real-world industry scenarios. The curriculum balances foundational skills in programming, algorithms, and data structures with specialized topics such as deep learning, computer vision, speech recognition, and autonomous robotics. This ensures graduates are well-equipped to meet the demands of rapidly evolving AI industries and to work on innovative applications like self-driving cars and AI-assisted surgeries.

Specialisation

Students can choose two specialization courses from options such as AI and Machine Learning in Bioinformatics, Computational Neuroscience, Autonomous Robotics, and Special Topics in Artificial Intelligence. These specializations allow students to tailor their learning toward specific AI domains like bioinformatics, neuroscience, or robotics, providing a focused skill set aligned with their career goals.

Course fees

Application fees

1st year tuition fees

21.51L

Living cost

Degree requirements

To complete the MS in Artificial Intelligence, students must earn a total of 30 credits. This includes 18 credits from core module courses, 6 credits from specialization courses, and 6 credits from electives or thesis. The core courses cover programming, algorithms, machine learning, data mining, and more, while the specializations and electives allow students to deepen their expertise in specific AI areas.

English language test

IELTS

DUOLINGO

100

TOEFL

PTE

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the Long Island University Post (LIU Post) admission page for complete details.

Career prospects

Graduates from this program can look forward to careers in various advanced fields such as autonomous robotics, AI-driven data analysis, speech and image processing, bioinformatics, and intelligent systems for healthcare. Potential roles include AI research scientist, data scientist, robotics engineer, and machine learning specialist, among others. The program's industry-aligned projects and cutting-edge curriculum prepare students to excel in roles involving big data, industry automation, and AI-based innovation.

FAQs

What skills will I gain from this course?

Students will learn skills including programming in Python, algorithms, machine learning, data mining, deep learning, speech and image recognition, robotics, and bioinformatics.

Are there research or thesis options?

Yes, students can opt for a thesis, which involves preparing a research project under supervision, or choose electives in AI or Computer Science.