Informatics Engineering Master Degree

Informatics Engineering Master Degree

Master of Informatics Engineering Program (PMTIF), Department of Informatics, FTEIC-ITS, established with Decree Number 2851/D/T/2001, accredited as Superior by LAM INFOKOM with SK Number 118/SK/LAM-INFOKOM/Ak/M/XII/ 2022 valid until December 15 2027. Apart from that, PMTIF is also internationally accredited by ASIIN (Acreditation in Engineering Computer Science, Natural Sciences, and Mathematics) until September 2027. The ITS Informatics Engineering Master's Study Program opens face-to-face classes (Regular classes) and distance classes (Professional PJJ) which is supported by 29 teaching staff with Doctoral degrees and 10 of them are Professors. To date, PMTIF has graduated 944 alumni. Study at PMTIF ITS can be taken for 3-4 semesters (1.5-2 years) with a total credit load of 36 credits. The 36 credits include 12 mandatory courses (Computational Intelligence, Network Based Computing, Software Engineering, Research Methodology); 12 Thesis group courses (Thesis-Proposal, Thesis-Scientific Publication, Thesis-Final Session); and 12 elective courses according to areas of interest or relevant to thesis research.

Accreditation and Certificate

AccreditationCertificateSPMI

Accreditation Superior (2022 - 2027)

The Masters Study Program (S2) of the Department of Informatics has been declared a study program with superior accreditation (the highest accreditation) by LAM INFOKOM from 2022 to 2027. Surat_Sertifikat_LAMINFOKOM-S2-Teknik-Informatika

Accreditation A (2017 - 2022)

The Masters Study Program (S2) of the Department of Informatics has been declared a department with A accreditation (highest accreditation) by BAN-PT Indonesia in 2017 and 2022.

Graduate learning outcomes

1. Capable of demonstrating attitudes and character that reflect: devotion to God Almighty; ethics and integrity; noble character; sensitivity and concern for social and environmental issues; respect for cultural diversity and pluralism; commitment to the rule of law; and a dedication to prioritizing the interests of the nation and the broader community through creativity, innovation, excellence, strong leadership, synergy, and the utilization of personal potential to achieve optimal results. 2. Capable of examining and utilizing science and technology for application in the field of informatics—including computer networks, cybersecurity, information management, and modeling and simulation—and capable of making sound decisions based on individual or group work (such as final projects or equivalent learning activities) through logical, critical, systematic, and innovative thinking. 3. Capable of managing self-directed learning and personal development as a lifelong learner in order to compete at national and international levels, thereby making tangible contributions to problem-solving while adhering to principles of sustainability. 4. Proficient in the concepts and principles of intelligent systems and computational science, and capable of designing and building applications by applying these principles to produce intelligent application products across various fields. 5. Master the concepts and principles of architecture, systems, and logic-based computer network fundamentals, and be able to apply these principles to design, implement, and manage high-performance, secure, and efficient network systems. 6. Master theoretical concepts and principles regarding network-based computing and related cutting-edge technologies, and be able to apply these concepts to analyze and design algorithms for solving computational problems across various fields. 7. Master the principles of algorithm design and various programming language concepts, and be able to design and analyze algorithms to solve problems effectively and efficiently based on sound programming practices, as well as apply them to software development based on software engineering concepts and principles. 8. Master the principles of graphics and interaction, and be able to develop and evaluate application and/or game user interfaces based on these principles. 9. Master problem-solving principles and techniques using calculus, matrices, statistics, approximation, linear optimization, modeling, and simulation, and be able to solve computational and mathematical modeling problems effectively and efficiently through exact, stochastic, probabilistic, and numerical approaches. 10. Master the concepts and principles of information capture, processing, and storage in various formats, and be able to collect, digitize, and process data into useful new information using effective and efficient data modeling and storage methods.

Curriculum

Syllabus

Admission