MSc Artificial Intelligence

Program Overview

The MSc Artificial Intelligence program at SCU is designed to equip students with
advanced knowledge and practical skills in AI technologies that are transforming
industries worldwide.

This program covers core areas such as machine learning, data analytics, intelligent
systems, neural networks, and AI applications in business and industry. Students gain
hands-on experience with modern tools and technologies used in real-world AI
development.

Course Aims

Provide in-depth knowledge of artificial intelligence, including machine learning,
Deep Learning, neural networks, natural language processing, generative AI, and
intelligent systems.
Enable students to design, develop, and evaluate AI solutions for complex, real-
world problems.
Equip students with practical skills through project-based learning, live industry
projects, and problem-solving case studies.
Empower students to innovate and apply AI technologies creatively to improve
systems and processes.
Prepare students for high-demand roles such as AI specialists, machine learning
engineers, data scientists, and intelligent systems developers.

Course Learning Outcomes

Demonstrate a deep and systematic understanding of the key principles, methodologies, and tools in artificial intelligence, including machine learning, neural networks, natural language processing, and intelligent systems.
Critically evaluate and apply current and emerging AI methodologies, tools, and research developments to solve complex problems across various domains.
Select and apply advanced AI techniques creatively and innovatively to solve real-world problems, including those in unfamiliar or complex contexts.
Incorporate a critical ethical perspective in your practice, systematically addressing issues such as bias, transparency, privacy, and sustainability in AI development and application.
Apply, develop, and evaluate state-of-the-art AI tools and techniques consistent with current research and professional practices at the forefront of the discipline.
Design and undertake a substantial investigation in an AI-related area, selecting and applying appropriate methodologies while critically evaluating their effectiveness and limitations.
Demonstrate the ability to communicate complex AI ideas and developments effectively, systematically, and professionally using a variety of communication media, including formal written reports, presentations, and oral discussions.

Entry Requirements

A recognized undergraduate degree in Computing, IT, Engineering, or a related field
OR
Relevant professional qualifications with industry experience (subject to approval)

Career Opportunities

Graduates of this program can pursue careers such as:

AI Engineer
Machine Learning Engineer
Data Scientist
AI Researcher
Business Intelligence Analyst
AI Solutions Architect

AI expertise is in high demand across industries including finance, healthcare, retail, manufacturing, and technology.

Key Information

Duration 12 Months

Intakes

September (BLK 1)
November (BLK 2)
January (BLK 3)
March (BLK 4)
May (BLK 5)
July (BLK 6)

Mode of Study

Weekday / Weekend classes (Subject to intake)
Hybrid learning

Interested in advancing your career in Artificial Intelligence?

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