STEI - Sekolah Teknik Elektro dan Informatika

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Master in Artificial Intelligence

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.

General Description & Curriculum

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):

  1. 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.
  2. Our graduates will successfully pursue advanced study or engage in professional development.
  3. Graduates will have the ability to manage research in the field of Artificial Intelligence.

Graduate Outcomes of the Study Program

  1. Students are able to identify and formulate real-world problems, as well as analyze AI-based solutions to solve these problems.
  2. Students are able to design and build AI-based solutions through an interdisciplinary or multidisciplinary approach.
  3. Students are able to evaluate AI-based solutions through an interdisciplinary or multidisciplinary approach.
  4. Students are able to develop research-based knowledge and technology in the field of AI.
  5. Students will be able to communicate effectively in diverse professional and academic contexts.
  6. 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 1

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 2

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 3

Semester III

No Code Course name sks p
1 AI6098 Thesis 2 5 0
2 AI6099 Master's Session 3 0
3 Choice 6 0
Total 14 0

Registration and Selection of New Students

Untuk dapat mengikuti Program Studi Magister Kecerdasan Artifisial dengan baik, mahasiswa perlu memiliki latar belakang pendidikan setara sarjana dalam bidang Artificial Intelligence. Mahasiswa dengan latar belakang pendidikan tidak sebidang dengan prestasi baik juga dapat diterima, asalkan memenuhi syarat Sekolah Pascasarjana (SPs), berlatar belakang pendidikan Sains atau Teknik, dan wajib lulus ujian tulis khusus kompetensi dasar keilmuan AI. Persyaratan calon mahasiswa mengacu pada Peraturan Rektor ITB No. 587/IT1.A/PER/2022 tentang Persyaratan Masuk Program Magister dan Doktor di ITB.

Prospective students for the regular scheme program will take part in document selection and written exams as follows:

  1. Selection based on documents:
    1. Nilai IP, TPA, dan TOEFL mengikuti peraturan ITB yang berlaku.
    2. Educational background in Science and Engineering (S1 diploma).
    3. Rekomendasi dari 2 (dua) orang, yaitu dosen atau atasan.
  2. Ujian tulis khusus kompetensi dasar keilmuan AI, meliputi pemrograman, matematika untuk AI dan ML, basis data, serta sistem komputer.

Tata Tertib dan Cakupan Topik Tes Seleksi S2 AI

Peserta ujian tulis wajib memperhatikan tata tertib ujian, jadwal pelaksanaan, sifat ujian, serta cakupan topik tes seleksi Program Magister Kecerdasan Artifisial ITB.

Tata Tertib Ujian
  • Peserta wajib mengetahui ruang ujian sesuai undangan yang disampaikan melalui email.
  • Peserta memakai pakaian sopan dan bersepatu.
  • Peserta membawa tanda bukti diri asli, alat tulis, dan kalkulator.
  • Barang selain perlengkapan ujian diletakkan di tempat yang ditentukan.
  • Alat komunikasi wajib dimatikan dan makanan tidak diperbolehkan dibawa ke ruang ujian.
  • Peserta tidak diperbolehkan menggunakan catatan, berbicara, saling meminjam alat tulis, atau melakukan kecurangan.
  • Pelanggaran tata tertib dapat mengakibatkan berkas jawaban peserta tidak dinilai.
Cakupan Topik Tes
  • Algoritma dan Struktur Data
  • Matematika untuk AI dan Machine Learning
  • Sistem dan Arsitektur Komputer atau Basis Data dan Data Model

Jadwal ujian seleksi Semester I Tahun Akademik 2026/2027 direncanakan pada Kamis, 9 Juli 2026, pukul 12.45-16.00 WIB di Labtek V (Gedung Benny Subianto) Lantai 2, Jalan Ganesha No. 10, Bandung. Ruangan mengikuti informasi pada undangan.

Informasi lengkap mengenai tata tertib, jadwal, sifat ujian, cakupan topik, dan contoh soal dapat diakses melalui dokumen berikut: Tata Tertib Seleksi Ujian Masuk S2 AI 2026.

Mahasiswa yang mengikuti Program Penyatuan Sarjana Magister (PPSM) serumpun harus mengambil mata kuliah program Magister Kecerdasan Artifisial 15-24 sks saat masih di jenjang Sarjana agar dapat menyelesaikan skema program integrasi sarjana-magister dalam waktu 10 semester. Mahasiswa yang mengikuti PPSM lintas rumpun harus memenuhi kompetensi dasar keilmuan AI yang dibutuhkan untuk mengikuti perkuliahan Magister Kecerdasan Artifisial, yaitu: pemrograman, matematika, dan basis data serta sistem komputer. Seperti mahasiswa yang mengikuti PPSM serumpun, mahasiswa PPSM lintas rumpun juga harus mengambil mata kuliah program Magister Kecerdasan Artifisial 15-24 sks saat masih di jenjang Sarjana agar dapat menyelesaikan skema program integrasi sarjana-magister dalam waktu 10 semester. Persyaratan lainnya mengikuti peraturan ITB yang berlaku.

Prodi Magister Kecerdasan Artifisial untuk pendaftaran tahun akademik 2026/2027 hanya dibuka untuk pendaftaran semester ganjil. Untuk pembukaan tahun akademik 2026/2027, informasi pendaftaran dapat diakses mulai bulan Mei 2026. Jadwal pendaftaran calon mahasiswa baru Magister Kecerdasan Artifisial mengikuti jadwal Pendaftaran Calon Mahasiswa Program Pascasarjana ITB yang dapat diakses pada:

https://admission.itb.ac.id/info/program-magister/

Dual Degree Program

The Artificial Intelligence master's program provides several flexible paths to continue your studies according to your background.

Based on Background

  1. Linear → Already have the basics of AI → can continue straight away
  2. Semi-linear → Some AI basics → need some additional courses
  3. Non-linear → Don't have an AI background yet → need to be equipped first

Program Options

  1. Sarjana → Magister
    • Continue to S2 after graduating from S1 with an integrated curriculum
    • Duration: ± 6–7 years total
  2. Program Integrasi atau Penyatuan Sarjana Magister (PPSM)
    • Kuliah S1 dan S2 sekaligus (fast-track)
    • Durasi: 4 + 1 tahun
    • Bisa ambil mata kuliah S2 sejak S1
    • Berikut ini adalah tahapan rincinya:
    1. Mahasiswa mendaftar program integrasi; pendaftaran dapat dilakukan mulai semester lima hingga selambat-lambatnya di akhir semester enam.
    2. Mahasiswa membuat course planning; course planning menggambarkan rencana pengambilan mata kuliah di setiap semester, mulai dari semester tiga hingga semester 10, sehingga program S1 dan S2 dapat diselesaikan dalam 4 + 1 tahun. Pengambilan mata kuliah pada course planning mencakup: mata kuliah wajib ITB, mata kuliah wajib prodi S1, mata kuliah pilihan prodi S1, mata kuliah pilihan luar prodi S1, mata kuliah wajib Magister Kecerdasan Artifisial, dan mata kuliah pilihan Magister Kecerdasan Artifisial. Mata kuliah wajib ITB diprioritaskan untuk diambil mulai semester 3. Apabila mahasiswa ingin mengikuti program MBKM, maka pengambilan mata kuliah pilihan dapat disesuaikan.
    3. Untuk mahasiswa yang masuk kategori linier dan semi-linier, 12–24 sks mata kuliah prodi Magister Kecerdasan Artifisial dapat diambil sejak semester lima hingga semester delapan. Batasan jumlah sks ini dapat disesuaikan dengan aturan yang berlaku di ITB. Khusus untuk mahasiswa yang masuk kategori semi-linier, mata kuliah prodi Magister Kecerdasan Artifisial yang dapat diambil adalah mata kuliah yang sesuai dengan kompetensi dasar Artificial Intelligence yang sudah dimiliki. Untuk melengkapi kompetensi dasar Artificial Intelligence yang belum dimiliki, mahasiswa kategori semi-linier harus mengikuti mata kuliah penyelarasan.
    4. Untuk mahasiswa yang masuk kategori tidak linier, pembekalan untuk memperoleh kompetensi dasar Artificial Intelligence dapat diambil sejak semester lima, sehingga apabila memungkinkan, 12–24 sks mata kuliah Magister Kecerdasan Artifisial dapat mulai diambil sejak semester 7 (tujuh). Kasus khusus (misalnya baru mendaftar di semester enam) dapat menyebabkan mahasiswa tidak bisa mengambil mata kuliah Magister Kecerdasan Artifisial sebelum lulus S1, sehingga program integrasi S1 dan Magister Kecerdasan Artifisial diselesaikan dalam waktu lebih dari 4+1 tahun. Seperti skema umum Sarjana-Magister lintas-rumpun dengan tujuan Prodi Magister Kecerdasan Artifisial, peserta PISM tidak linier perlu mengambil mata kuliah penyelarasan untuk memenuhi kompetensi dasar Computing.
    5. Untuk mahasiswa semi-linier dan tidak linier, terdapat beberapa alternatif pembekalan, yaitu mengikuti pembekalan di masa semester pendek, mengambil mata kuliah pilihan luar prodi Program Sarjana berupa mata kuliah Teknik Informatika atau Sistem & Teknologi Informasi yang terkait dengan kompetensi dasar Artificial Intelligence, atau mengikuti tes kompetensi dasar.
    6. Tugas Akhir prodi S1 mulai dilaksanakan sejak semester tujuh. Mahasiswa yang masuk kategori linier wajib melaksanakan TA-Tesis berkelanjutan. Mahasiswa yang masuk kategori semi-linier dan tidak linier disarankan melaksanakan TA-Tesis berkelanjutan.
    7. Pada pertengahan semester delapan, akan dilakukan review prestasi akademik untuk memastikan bahwa mahasiswa peserta program integrasi dapat lulus tepat waktu dari prodi S1 (delapan semester) dan dapat menyelesaikan prodi Magister Kecerdasan Artifisial di akhir tahun ke-5. Jika diestimasi dapat lulus tepat waktu, maka mahasiswa dapat melanjutkan ke prodi Magister Kecerdasan Artifisial tanpa harus mengikuti ujian seleksi masuk, TOEFL, maupun TPA. Jika tidak bisa lulus tepat waktu, mahasiswa diarahkan untuk mengikuti program dengan skema reguler Magister Kecerdasan Artifisial.
    8. Untuk mahasiswa yang melanjutkan program integrasi, mata kuliah Magister Kecerdasan Artifisial yang belum diambil dapat diselesaikan dalam waktu dua semester, sehingga mahasiswa dapat lulus S1 dan Magister Kecerdasan Artifisial dalam waktu 4 + 1 tahun.
  3. Magister → Doktor (PPMD)
    • Percepatan dari S2 ke S3
    • Durasi: ± 4 tahun
    • Bisa ambil mata kuliah doktor sejak S2

    Skema Penyatuan Program Magister-Doktor (PPMD) ini disediakan oleh prodi Doktor untuk mendukung percepatan waktu tempuh studi total pemelajar dari jenjang Magister hingga Doktor menjadi 8 semester. Hal ini dilakukan dengan cara pengambilan sebagian mata kuliah Doktor sewaktu menempuh program Magister sebanyak 6 hingga 18 sks, dengan memanfaatkan porsi mata kuliah wajib dan mata kuliah pilihan. Prodi Magister Kecerdasan Artifisial ITB bekerja sama dengan prodi Doktor Teknik Elektro dan Informatika untuk pelaksanaan PPMD serumpun. Semua persyaratan skema ini mengikuti rancangan dari prodi Doktor.

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

Beasiswa IAIF + 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

  1. Fulfill the academic requirements of the Master of Artificial Intelligence Program at STEI ITB.
  2. Have a minimum undergraduate GPA of 3.25.
  3. Memiliki kemampuan Bahasa Inggris yang dibuktikan dengan salah satu skor berikut:
    • TOEFL ITP minimal 500, atau
    • TOEFL iBT minimal 80, atau
    • IELTS minimal 6.0.
  4. Diutamakan memiliki pengalaman dalam:
    • Publikasi ilmiah/penelitian di bidang Artificial Intelligence.
    • Pengembangan solusi/proyek di bidang Artificial Intelligence.
  5. Willing to comply with all provisions of the scholarship program.

Registration Documents

  1. Academic transcript.
  2. Curriculum Vitae (CV).
  3. Motivation letter.
  4. Research proposal ideas.
  5. 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.
  6. English language proficiency document.

Ketentuan proposal penelitian:

  • Maksimum 2 halaman.
  • Topik terkait Artificial Intelligence, baik berupa metode, algoritma, maupun penerapan AI di berbagai bidang.
  • Dikirim dalam format PDF.

Registration Mechanism

Scholarship registration is done via email to:

akademik.stei@itb.ac.id

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.

Selection Schedule:

Stages Date
Scholarship Registration hingga 15 Juni 2026
Scholarship Selection 16 – 23 Juni 2026
Scholarship Recipient Announcement 24 Juni 2026
Notes: Scholarship recipients are required to comply with all applicable academic provisions and scholarship program provisions.

Contact

Contact Us

Master in Artificial Intelligence
Labtek VIII/Gedung Achmad Bakrie, 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.