Program level competencies
Upon successful completion of this program, participants should be able to:
- Critically evaluate the techniques for storing and processing big volumes of data, including transaction business data, text data and images
- Explain the theoretical foundations, capabilities, limitations, and applications of machine learning, deep learning, and artificial intelligence techniques across different problem domains
- Explain and evaluate modern approaches for the development, adaptation and deployment of AI and Intelligent systems using modern tools, and frameworks
- Analyze and formulate complex organizational and real-world problems using appropriate data science and/or artificial intelligence methodologies
- Critically evaluate, design, and justify data science and AI solutions by considering technical performance, scalability, ethical implications, and business or societal impact
- Critically interpret and communicate analytical results and AI model outcomes to support evidence-based decision-making
- Formulate ideas and arguments and communicate them effectively both in writing and orally in an academic or business context
- Undertake programming at an advanced level: use advanced algorithms, practice distributed computing
