Computing and AI

About Programme

The MBA specialisation in Computing and AI is designed to equip professionals with cutting-edge knowledge and advanced skills in leveraging computational technologies and artificial intelligence technology to drive innovation, optimise processes, and lead digital transformation. This MBA in AI program focuses on the practical applications of AI and computing frameworks to solve complex business challenges, enhance decision-making, and deliver sustainable value in a technology-driven world.

Programme Highlights

• Master the principles of ethical AI and responsible computing, ensuring compliance with global regulatory frameworks and societal expectations.
• Develop the ability to critically evaluate and mitigate ethical risks in AI deployments, including bias, transparency, and accountability.
• Demonstrate expertise in creating ethical frameworks and policies for AI implementations that prioritise fairness, inclusivity, and societal benefit.
• Gain proficiency in assessing the societal and organisational impacts of AI systems, fostering ethical decision-making and responsible innovation.
• Master the principles and applications of advanced machine learning and deep learning algorithms to address complex business challenges.
• Critically design and implement scalable machine learning workflows using industry-standard frameworks like TensorFlow and PyTorch.
• Demonstrate the ability to integrate machine learning and deep learning solutions into organisational strategies, enhancing operational efficiency and innovation.
• Analyse and address the limitations and ethical considerations of deploying AI models, ensuring compliance with data privacy and interpretability standards.
• This AI MBA course provides the perfect bridge between business leadership and emerging AI technology.

Programme Outcomes

• Critically identify the core principles of computing and artificial intelligence within the context of business transformation and innovation.
• Comprehensively describe key frameworks, algorithms, and methodologies used in AI and computing to enhance organisational efficiency.
• Effectively apply AI-driven methodologies to analyse large datasets and extract actionable insights that align with organisational goals.
• Critically demonstrate the use of machine learning algorithms and frameworks to design and deploy predictive and prescriptive models in real-world scenarios.
• Skillfully design AI-powered business solutions that integrate computational tools and technologies to drive innovation and efficiency.
• Systematically construct scalable AI workflows that automate processes and enhance decision-making across organisational departments.

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