Mastering AI Requires More Than Just Prompts: UNM Informatics Master's Program Equips Students with Algorithmic Foundations
Amidst the rapid advancement of Artificial Intelligence (AI), Big Data, and intelligent computing, many individuals focus on the end results of technology without understanding the underlying foundations that make it work. However, behind the sophistication of AI and machine learning lies the fundamental science of algorithms and computational complexity.
Recognising the importance of these foundations, the Informatics Study Programme within the Master’s Faculty of Information Technology at Nusa Mandiri University (UNM)—a Digital Business Campus—has established ‘Algorithms and Complexity’ as a vital part of the core curriculum for students in their initial semesters. This course is designed to strengthen students’ abilities to model, analyse, and solve computational problems effectively and efficiently. Beyond basic algorithmic concepts, students are equipped with advanced materials that serve as the bedrock of modern technology.
Topics covered include Models of Computation, Pushdown Automata, Turing Machines, Algorithmic Decidability, Randomised Algorithms, Parallel Algorithms, and Decision Trees, which are widely used in the development of AI and machine learning systems. In the current era of digital transformation, the ability to analyse algorithmic efficiency is a highly sought-after competency in the industry. Technology developers must ensure that built solutions possess optimal performance, can handle massive datasets, and are scalable to meet business needs.
Furthermore, students study computational complexity, which forms the basis of various digital security and modern cryptography technologies. This knowledge is increasingly relevant given the rising demand for data protection and information security across various industrial sectors.
Agus Subekti, Head of the Informatics Study Programme at UNM’s Faculty of Information Technology, emphasised that mastering algorithms and computational complexity is essential for students pursuing careers in advanced technology. “The rapid development of AI should not make us forget the fundamental scientific foundations. Master’s students need to understand how algorithms work, how complexity is calculated, and how a computational solution can be optimised. With this understanding, they will not merely be users of technology, but will be capable of developing innovations that deliver real impact,” he stated in a release received on Monday.
According to Agus, the future challenges of the technology world lie not only in the ability to use digital devices or platforms but also in the ability to understand the scientific principles underlying their development. “AI engineers, data scientists, researchers, and future technology practitioners require strong analytical skills. Therefore, mastery of algorithms and computational complexity is a competency that cannot be ignored.”
As a Digital Business Campus, UNM continues to develop a curriculum relevant to industry needs and global technological trends. Through a learning approach that integrates computational theory, algorithmic analysis, case studies, and research-based solution development, the UNM Master of Informatics programme is committed to producing graduates with critical, analytical, and innovative thinking skills. This initiative is part of UNM’s effort to prepare superior human resources ready to face the challenges of the technological revolution, artificial intelligence, and future digital transformation.