About the Study Program
The Master of Artificial Intelligence program is designed to produce graduates with advanced analytical skills, the ability to develop knowledge through research, and high professionalism in the field of AI. The AI scientific fields in this program cover four main categories: essential, core, general, and applied knowledge areas. In essential knowledge, students are equipped with the mathematical foundations for AI and machine learning as well as programming skills. Core knowledge covers key competencies such as machine learning, deep learning, NLP, computer vision, generative AI, speech processing, robotics, and human-computer interaction. General knowledge provides a basic understanding of AI and data science as the foundation for data analysis. Meanwhile, applied knowledge emphasizes the practical application of AI, including ethics, various industry sectors, and AI DevOps.
Program Objectives
The Master of Artificial Intelligence study program aims to produce Master of Artificial Intelligence graduates with the profile of Engineers, Managers, Consultants, or Researchers in the field of Artificial Intelligence who have the following capabilities at the beginning of their career (3-5 years after graduation):
- Graduates will have critical, adaptive, innovative, and professional thinking aspects, so they can have a career in the profession in the field of Artificial Intelligence.
- Our graduates will successfully pursue advanced study or engage in professional development.
- Graduates will have the ability to manage research in the field of Artificial Intelligence.
Graduate Outcomes of the Study Program
- Students are able to identify and formulate real-world problems, as well as analyze AI-based solutions to solve these problems.
- Students are able to design and build AI-based solutions through an interdisciplinary or multidisciplinary approach.
- Students are able to evaluate AI-based solutions through an interdisciplinary or multidisciplinary approach.
- Students are able to develop research-based knowledge and technology in the field of AI.
- Students will be able to communicate effectively in diverse professional and academic contexts.
- Students are able to function effectively in interdisciplinary or multidisciplinary team activities.
Curriculum Structure
The general structure of the Artificial Intelligence Master's Program curriculum is shown in the following table for both the Study with Research Thesis and Study with Project Thesis pathways. The curriculum is designed in 3 semesters for a load of 45 credits, consisting of ITB compulsory courses (3 credits) and study program compulsory courses (24 credits), 12 credits of thesis, and 6 credits of elective courses. The Research Thesis is carried out through research activities reported in the form of a Master's Thesis. For the Project Thesis, activities are in the form of project or product development as real world use casesso it will be guided by partners from industry. The project thesis can be done in groups by 2-3 students. The output is an AI product or prototype. If the Research Thesis must be published in a national or international journal or proceedings, the Project Thesis can also be published in a national or international journal or proceedings, or in the form of an Intellectual Property Rights (IPR) Application Document.
Semester I
| No | Code | Course name | sks | p |
|---|---|---|---|---|
| 1 | WIxxx | Research Methodology and Digital Literacy | 3 | 0 |
| 2 | AI5101 | Programming for Artificial Intelligence and Data Science | 3 | 1 |
| 3 | AI5102 | Mathematics for Artificial Intelligence and Data Science | 3 | 0 |
| 4 | AI5103 | Fundamentals of Artificial Intelligence and Data Science | 3 | 0 |
| 5 | AI5104 | Machine Learning | 3 | 0 |
| Total | 15 | 1 | ||
Semester II
| No | Code | Course name | sks | p |
|---|---|---|---|---|
| 1 | AI5003 | Thesis 1 | 4 | 0 |
| 2 | AI5201 | Deep Learning | 3 | 1 |
| 3 | AI5203 | Ethics and Trusted Artificial Intelligence | 3 | 0 |
| 4 | AI5204 | Artificial Intelligence System Design | 3 | 1 |
| Total | 13 | 2 | ||
Semester III
| No | Code | Course name | sks | p |
|---|---|---|---|---|
| 1 | AI6098 | Thesis 2 | 5 | 0 |
| 2 | AI6099 | Master's Session | 3 | 0 |
| 3 | Elective | 6 | 0 | |
| Total | 14 | 0 | ||
Registration and Selection of New Students
To successfully enroll in the Master's Program in Artificial Intelligence, students must have a bachelor's degree in Artificial Intelligence. Students with a different educational background and good academic record may also be accepted, provided they meet the Graduate School (SPs) requirements, have a background in Science or Engineering, and must pass a written exam specifically for basic AI scientific competencies. Prospective student requirements refer to ITB Rector's Regulation No. 587/IT1.A/PER/2022 concerning Entry Requirements for Master's and Doctoral Programs at ITB.
Prospective students for the regular scheme program will take part in document selection and written exams as follows:
- Selection based on documents:
- IP, TPA and TOEFL scores follow applicable ITB regulations.
- Educational background in Science and Engineering (S1 diploma).
- Recommendations from 2 (two) people, namely lecturers or superiors.
- The written exam specifically covers basic AI scientific competencies, including programming, mathematics for AI and ML, databases, and computer systems.
Rules and Coverage of the AI Masters Selection Test Topics
Written exam participants must pay attention to the exam rules, implementation schedule, nature of the exam, and the scope of the ITB Artificial Intelligence Masters Program selection test topics.
Tata Tertib Ujian
- Participants must know the exam room according to the invitation sent via email.
- Participants must wear appropriate clothing and shoes.
- Participants must bring original proof of identity, writing materials, and a calculator.
- Items other than exam equipment are placed in the designated area.
- Communication devices must be turned off and food is not allowed to be brought into the examination room.
- Participants are not allowed to use notes, talk, borrow each other's writing tools, or cheat.
- Violations of the rules may result in the participant's answer file not being assessed.
Cakupan Topik Tes
- Algorithms and Data Structures
- Mathematics for AI and Machine Learning
- Computer Systems and Architecture or Database and Data Model
The schedule for the selection exam for Semester I of the 2026/2027 Academic Year is planned for Kamis, 9 Juli 2026, pukul 12.45-16.00 WIB at Labtek V (Benny Subianto Building), 2nd Floor, Jalan Ganesha No. 10, Bandung. The room will be as per the information on the invitation.
Complete information regarding the rules, schedule, nature of the exam, topic coverage, and sample questions can be accessed through the following document: Tata Tertib Seleksi Ujian Masuk S2 AI 2026.
Students participating in the Integrated Undergraduate Master's Program (PPSM) must take 15-24 credits of Artificial Intelligence Master's program courses while still at the undergraduate level in order to complete the undergraduate-master's program integration scheme within 10 semesters. Students participating in the cross-cluster PPSM must fulfill the basic AI scientific competencies required to take the Master's program in Artificial Intelligence, namely: programming, mathematics, and databases and computer systems. Like students participating in the same PPSM, students in the cross-cluster PPSM must also take 15-24 credits of Artificial Intelligence Master's program courses while still at the undergraduate level in order to complete the undergraduate-master's program integration scheme within 10 semesters. Other requirements follow applicable ITB regulations.
The Master of Artificial Intelligence study program for the 2026/2027 academic year is only open for odd semester registration. For the 2026/2027 academic year, registration information can be accessed starting in May 2026. The registration schedule for prospective new students for the Master of Artificial Intelligence study program follows the ITB Postgraduate Program Registration schedule, which can be accessed at:
Dual Degree Program
The Artificial Intelligence master's program provides several flexible paths to continue your studies according to your background.
Based on Background
- Linear → Already have the basics of AI → can continue straight away
- Semi-linear → Some AI basics → need some additional courses
- Non-linear → Don't have an AI background yet → need to be equipped first
Program Options
- Bachelor → Master
- Continue to S2 after graduating from S1 with an integrated curriculum
- Duration: ± 6–7 years total
- Bachelor and Master's Degree Integration Program (PPSM)
- Study for undergraduate and postgraduate degrees simultaneously (fast-track)
- Duration: 4 + 1 years
- Can take Master's courses since Bachelor's degree
- The following are the detailed steps:
- Students register for the integration program; registration can be done starting from the fifth semester until the end of the sixth semester at the latest.
- Students create a course plan; the course plan describes the course plan for each semester, from the third semester to the tenth semester, so that the undergraduate and postgraduate programs can be completed in 4 + 1 years. Courses taken in the course plan include: ITB compulsory courses, undergraduate study program compulsory courses, undergraduate study program elective courses, elective courses outside the undergraduate study program, Artificial Intelligence Master's compulsory courses, and Artificial Intelligence Master's elective courses. ITB compulsory courses are prioritized to be taken starting from semester 3. If students wish to participate in the MBKM program, the elective courses taken can be adjusted.
- For students in the linear and semi-linear categories, 12–24 credits of courses in the Master of Artificial Intelligence program can be taken from the fifth to eighth semester. This credit limit can be adjusted according to applicable regulations at ITB. Specifically for students in the semi-linear category, the Master of Artificial Intelligence program courses that can be taken are courses that align with the basic Artificial Intelligence competencies they already possess. To complete the basic Artificial Intelligence competencies that are not yet possessed, semi-linear students must take alignment courses.
- For students who fall into the non-linear category, preparation to acquire basic Artificial Intelligence competencies can be taken from the fifth semester, so that if possible, 12–24 credits of Master of Artificial Intelligence courses can be started from the 7th (seventh) semester. Special cases (for example, only registering in the sixth semester) may cause students to be unable to take Master of Artificial Intelligence courses before graduating from the Bachelor's degree, so that the integration program of Bachelor and Master of Artificial Intelligence is completed in more than 4 + 1 years. Like the general scheme of cross-field Bachelor-Master programs with the aim of the Master of Artificial Intelligence Study Program, non-linear PISM participants need to take alignment courses to fulfill basic Computing competencies.
- For semi-linear and non-linear students, there are several alternatives for provisioning, namely attending briefings during short semesters, taking elective courses outside the Undergraduate Program study program in the form of Informatics Engineering or Information Systems & Technology courses related to basic Artificial Intelligence competencies, or taking basic competency tests.
- Undergraduate study program final projects begin in the seventh semester. Students in the linear category are required to complete a continuous TA-Thesis. Students in the semi-linear and non-linear categories are advised to complete a continuous TA-Thesis.
- In the middle of the eighth semester, an academic performance review will be conducted to ensure that students participating in the integration program can graduate on time from the undergraduate program (eight semesters) and can complete the Master of Artificial Intelligence program by the end of the fifth year. If estimated to be able to graduate on time, then students can continue to the Master of Artificial Intelligence program without having to take the entrance selection exam, TOEFL, or TPA. If they cannot graduate on time, students are directed to follow the regular Master of Artificial Intelligence program.
- For students who continue the integration program, the Master of Artificial Intelligence courses that have not been taken can be completed in two semesters, so that students can graduate with a Bachelor's degree and a Master of Artificial Intelligence in 4 + 1 years.
- Masters → Doctorate (PPMD)
- Acceleration from S2 to S3
- Duration: ± 4 years
- Can take doctoral courses since S2
The Integrated Master's-Doctoral Program (PPMD) scheme is provided by the Doctoral study program to support the acceleration of the total study time of students from the Master's to the Doctoral level to 8 semesters. This is done by taking some Doctoral courses while studying the Master's program, amounting to 6 to 18 credits, by utilizing the portion of compulsory courses and elective courses. The ITB Artificial Intelligence Master's Study Program collaborates with the Electrical Engineering and Informatics Doctoral Study Program for the implementation of the related PPMD. All requirements for this scheme follow the design of the Doctoral study program.
Graduate Profile
Graduates of the Master of Artificial Intelligence program are prepared to become both outstanding professionals and academics who are able to compete at the national and global levels, as well as make real contributions to the development of AI-based technology in various sectors.
Academic & Research
Graduates can also pursue careers as:
- Lecturer
- AI researcher
- Technology consultant
Further Studies
There are opportunities to continue to Doctoral (PhD) level both at home and abroad, with focuses such as:
- Machine Learning & Deep Learning
- Computer Vision & NLP
- Robotics & Autonomous Systems
- AI for sustainability and public policy
Scholarship Information
IAIF Scholarship + Init 6 Ventures
Master of Artificial Intelligence Program – STEI ITB
The Master of Artificial Intelligence Study Program, School of Electrical Engineering and Informatics (STEI) Bandung Institute of Technology (ITB), in collaboration with IAIF and Init 6 Ventures, is opening a scholarship program for prospective ITB AI Masters students.
This scholarship program aims to support the development of Indonesian AI talent with a strong interest in research, AI solution development, and AI applications in industry.
Scholarship Coverage
Scholarship recipients will receive:
- Full tuition fee (UKT) scholarship for 3 semesters for regular students.
- Full tuition fee (UKT) scholarship for 2 semesters for ITB fast track students.
In addition to educational cost support, scholarship recipients also have the opportunity to:
- Interact with AI startups and industry within the IAIF ecosystem.
- Involved in AI research activities within the ITB environment.
- Contribute to the development of AI solutions.
- Produce scientific publications and/or innovative AI-based products.
Students involved in AI research activities at ITB also have the opportunity to receive additional living expenses support through research activity honorariums in accordance with the provisions applicable to each research activity.
Scholarship Provider
This scholarship program is supported by:
- IAIF
- Init 6 Ventures
Registration Requirements
- Fulfill the academic requirements of the Master of Artificial Intelligence Program at STEI ITB.
- Have a minimum undergraduate GPA of 3.25.
- Have English language skills as evidenced by one of the following scores:
- TOEFL ITP minimum 500, or
- TOEFL iBT minimum 80, or
- IELTS minimal 6.0.
- Preferably have experience in:
- Scientific/research publications in the field of Artificial Intelligence.
- Development of solutions/projects in the field of Artificial Intelligence.
- Willing to comply with all provisions of the scholarship program.
Registration Documents
- Academic transcript.
- Curriculum Vitae (CV).
- Motivation letter.
- Research proposal ideas.
- Portfolio of publications, products, or AI solutions that have been developed, including an explanation of the contribution/role in the development of these products or research.
- English language proficiency document.
Research proposal requirements:
- Maksimum 2 halaman.
- Topics related to Artificial Intelligence, including methods, algorithms, and the application of AI in various fields.
- Sent in PDF format.
Registration Mechanism
Scholarship registration is done via email to:
With email subject: [IAIF-Init6Ventures-S2AI-STEI-ITB-Scholarship]
Scholarship registration does not require students to be registered as students in the STEI ITB Artificial Intelligence Master's Program. However, scholarship recipients are required to participate in and complete the entire academic selection process for the STEI ITB Artificial Intelligence Master's Program, in accordance with ITB regulations.
Contact
Contact Us
Master in Artificial Intelligence
Labtek VIII/Achmad Bakrie Building, Jl. II, Lebak Siliwangi, Coblong, Bandung City, West Java 40132
Admin Prodi: Sri Wahyuni, A.Md.
Phone/WA : +62-822-2999-6572
Parking at ITBVehicles on the ITB campus are restricted to employees and special guests. There are three main parking facilities:
There are three main parking facilities, namely:
- Sasana Budaya Ganesha (Sabuga) is the largest parking area for four-wheeled and two-wheeled vehicles. Access to this parking area is from Jalan Taman Sari or Jalan Siliwangi.
- Parkir Timur (SR) provides limited parking for four-wheeled and two-wheeled vehicles. This parking area is open 24/7, except on major holidays.
- Parkir Barat (Civil) is specifically for two-wheeled vehicle users.