What is Master of Engineering in AI and Data Science?
A Master of Engineering in AI and Data Science is a postgraduate program designed to equip students with advanced knowledge and practical skills in artificial intelligence, machine learning, and data analytics for solving complex real-world problems.
What is the purpose of the Program?
Prepare students to design, develop, and implement AI and data-driven solutions in various industries, fostering expertise in analytics, algorithm design, and intelligent system development.
What Students Learn in the Program
1. Machine learning algorithms and applications
2. Deep learning and neural networks
3. Big data analytics and data visualization
4. Natural language processing and AI models
5. Software engineering for AI systems
6. Research and project-based problem solving
Entry Requirements
1. Bachelor’s degree (Honours or equivalent)
2. IELTS
3. TOEFL / iBT
4. Topic Level
How many intakes are available for the Program
There are typically 2–3 intakes available for this program:
1. January / February
2. May / June
3. September
Who Needs this Program?
1.Students aiming for advanced careers in AI, data science, or analytics
2. Professionals seeking specialized skills in machine learning and AI
3. Graduates in engineering, computer science, or related fields looking to deepen expertise
Duration:
1–2 years (depending on full-time or part-time enrollment)
Outcome:
Advanced AI and Data Science skills + eligibility for high-demand careers.
Masters Of Engineering In AI and Data Science
Masters Of Arts In International Business Administration
Masters Of Arts In International Hospitality Management
What is Master of Engineering in AI and Data Science?
A Master of Engineering in AI and Data Science is a postgraduate program designed to equip students with advanced knowledge and practical skills in artificial intelligence, machine learning, and data analytics for solving complex real-world problems.
What is the purpose of the Program?
Prepare students to design, develop, and implement AI and data-driven solutions in various industries, fostering expertise in analytics, algorithm design, and intelligent system development.
What Students Learn in the Program
Entry Requirements
How many intakes are available for the Program
There are typically 2–3 intakes available for this program:
Who Needs this Program?
2. Professionals seeking specialized skills in machine learning and AI
3. Graduates in engineering, computer science, or related fields looking to deepen expertise
Duration:
1–2 years (depending on full-time or part-time enrollment)
Outcome:
Advanced AI and Data Science skills + eligibility for high-demand careers.
Are you interested? Click here.