Master of AI Science (MSc in AI)

Shape the future of innovation and technology with an advanced degree in Artificial Intelligence.

Dates

Welcome Session December 17, 2024 Program Start January 06, 2025

Duration

18 to 24 Months
Online Study

PROGRAM FEE

US$30,000 US$200 application fee

Why MSc in AI Degree?

The Master of AI Science (MSc in AI) is an advanced degree program designed to equip students with comprehensive knowledge and hands-on expertise in Artificial Intelligence. This interdisciplinary program combines theoretical foundations, practical applications, and cutting-edge research to prepare graduates to lead in AI innovation across industries.

Whether your goal is to contribute to groundbreaking AI research, lead transformative AI projects in your organization, or start your own AI-driven venture, this program offers the skills, knowledge, and credentials to excel.

What you will learn?

By completing the MSc in AI, you will:

Master the core principles of AI, including machine learning, neural networks, and natural language processing.
Gain expertise in designing and deploying advanced AI systems for real-world challenges.
Explore emerging areas such as Generative AI, Reinforcement Learning, and AI ethics.
Understand the societal, ethical, and regulatory implications of AI technologies.
Develop research and project management skills to lead AI initiatives.

Program Highlights

Comprehensive Curriculum: Coverage of foundational and advanced AI topics, along with industry-relevant electives.
Hands-On Experience: Real-world projects, simulations, and case studies in diverse AI applications.
Capstone Research Project: Conduct original research or develop an AI solution for a specific industry problem.
Renowned Faculty: Learn from leading AI researchers and industry practitioners.
Flexible Learning Options: On-campus, online, or hybrid delivery to accommodate professional commitments.
Global Recognition: Earn a prestigious degree that opens doors to leadership roles worldwide.

Comprehensive Curriculum

Foundations of Artificial Intelligence
- History, principles, and future trends of AI.
Machine Learning and Deep Learning
- Supervised, unsupervised, and reinforcement learning; neural networks.
Natural Language Processing
- Sentiment analysis, machine translation, and conversational AI systems.
Computer Vision and Robotics
- Image recognition, autonomous systems, and robotics integration.
AI Ethics and Responsible Innovation
- Societal impacts, fairness, transparency, and regulatory frameworks.
Big Data and Cloud AI
- Scalable AI systems for massive data processing.

Business and Marketing AI
- AI for consumer behavior analysis, marketing automation, and business strategy.
Healthcare AI
- AI in diagnostics, patient care, and medical research.
Robotics and Automation
- Advanced robotics systems, cobots, and human-robot interaction.
Finance AI
- Predictive modeling, algorithmic trading, and fraud detection.
Creative Industries AI
- AI for content creation, design, and digital media.

“Pioneering AI Innovation”
The capstone project is the culmination of the MSc program, where students:

Conduct original research to address a pressing AI challenge.
Develop and implement a sophisticated AI solution for an industry-specific problem.
Present findings in a comprehensive report and professional presentation to faculty and industry experts.

Degree Holder Benefits

Graduating with an MSc in AI provides:

Professional Credibility: Recognition as an expert in AI science and innovation.
Career Opportunities: Access to leadership roles in AI research, development, and management.
Global Network: Connect with a community of AI professionals, researchers, and alumni.
Skill Development: Comprehensive training in both foundational and cutting-edge AI technologies.
Research Excellence: Gain experience in conducting and publishing impactful AI research.
Exclusive Resources: Lifetime access to GIAI resources, workshops, and networking events.

Who is it for?

The MSc in AI is ideal for:

Tech Professionals: Advancing their careers in AI-focused roles.
Researchers and Academics: Pursuing AI research and higher education opportunities.
Entrepreneurs: Building innovative AI-powered startups.
Industry Leaders: Driving AI transformation in organizations.
Graduates in STEM: Transitioning to AI from related fields like computer science, engineering, or mathematics.

Admissions Requirements

Bachelor’s degree in a relevant field (STEM preferred).
Professional experience in AI, data science, or related areas (optional but advantageous).
Proficiency in programming languages like Python and foundational mathematics.