Artificial Intelligence
What is Artificial intelligence?
The Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN) offers a bachelor’s degree focused on developing artificial intelligence technology through a sustainable approach (Sustainable AI). This program is designed for high school graduates from a science (natural sciences) background or technology-based vocational schools who wish to pursue a career in artificial intelligence, machine learning, and the development of intelligent systems integrated with industrial needs.
AI at UMN not only covers the concepts and theories of artificial intelligence but also emphasizes the application of technology that takes environmental, social, and economic aspects into account. Students will learn various key topics such as algorithms, programming, machine learning, data analysis, generative AI, and the development of intelligent systems like autonomous agents and recommendation systems.
Through a project-based learning approach, students are trained to develop critical thinking, problem-solving, and teamwork skills through real-world case studies from industry. With a multidisciplinary approach and an international network, this program prepares graduates to become adaptive, innovative AI professionals capable of delivering technological solutions that have a global impact.
Why should choose
Artifcial Intelligence UMN?
The Artificial Intelligence Study Program at UMN is designed to meet the needs of the future industry by ensuring relevant, globally standard education quality. The program’s main advantage lies in the implementation of Sustainable AI—the development of artificial intelligence technology that is not only advanced but also responsible toward the environment and society.
The future competency-based curriculum covers learning from the fundamentals to cutting-edge technologies such as Generative AI and AI in Health, as well as integrating ethical and sustainability aspects. The Project-Based Learning (PBL) approach allows students to gain hands-on experience through simulations and industry projects, preparing them to face real-world workplace challenges.
UMN is also supported by an innovation and entrepreneurship ecosystem through Skystar Ventures, which encourages students to develop applicable, business-worthy AI solutions. Additionally, the program has strategic partnerships with various institutions and organizations, as well as international collaborations.
Modern AI laboratory facilities, up-to-date technology support, and opportunities to obtain international certifications such as the Pearson Information Technology Specialist Artificial Intelligence further strengthen graduates’ readiness. With these advantages, UMN AI students are prepared to become competent, innovative professionals capable of competing globally in the field of artificial intelligence.
FAQ
Why Choose the Artificial Intelligence Study Program at UMN?
The Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN) is the ideal choice for prospective students who aspire to specialize in artificial intelligence, one of the key driving forces behind digital transformation across various industries today. The program is designed to equip students with the knowledge, skills, and experience needed to develop AI-based solutions that address real-world challenges.
The Artificial Intelligence curriculum at UMN is designed to keep pace with technological advancements and industry needs. Students study a wide range of essential fields, including machine learning, deep learning, computer vision, natural language processing (NLP), data analytics, data science, robotics, and intelligent systems development. In addition to understanding theoretical concepts, students also learn how AI technologies are applied across various sectors, including healthcare, business, manufacturing, media, education, and public services.
One of the key advantages of the Artificial Intelligence Study Program at UMN is its 3+1 Program, conducted in collaboration with Chang Gung University, Taiwan. Through this program, students have the opportunity to complete three years of study at UMN and one year at Chang Gung University, subject to the applicable regulations. This experience allows students to study in an international academic environment, broaden their academic perspectives, and build global networks.
The learning process in the Artificial Intelligence Study Program at UMN is supported by lecturers with expertise in AI, well-equipped laboratory facilities, and various activities that encourage students to gain practical experience through research, competitions, projects, and collaborations with industry partners. Students are encouraged to develop AI-based solutions that address societal needs while keeping pace with technological advancements.
In addition to technical competencies, students also develop critical thinking, analytical thinking, communication, collaboration, and problem-solving skills. These competencies equip graduates with the ability to adapt to the rapid pace of technological change while creating innovations that generate positive impact.
Graduates of the Artificial Intelligence Study Program at UMN have broad career opportunities across various industries. Career paths include AI Engineer, Machine Learning Engineer, Data Scientist, Computer Vision Engineer, Natural Language Processing Engineer, Data Engineer, AI Researcher, Business Intelligence Analyst, and AI Consultant. As the adoption of AI continues to grow across industries, the demand for graduates with expertise in artificial intelligence also continues to increase.
With a curriculum that keeps pace with technological advancements, opportunities to participate in the 3+1 Program with Chang Gung University, practical learning experiences, and strong collaboration with industry partners, the Artificial Intelligence Study Program at UMN prepares students to become innovative, adaptable graduates who are ready to meet the challenges of the AI era.
How Can I Apply to the Artificial Intelligence Study Program at UMN?
Prospective students who wish to join the Artificial Intelligence Study Program at UMN can apply through the various admission pathways available at UMN. The application process is conducted online by completing the application form, submitting the required documents, and completing the selection process according to the chosen admission pathway.
For information regarding the application schedule, admission requirements, tuition fees, scholarships, and available admission pathways, prospective students may visit the UMN New Student Admission website or contact the UMN Admissions team. By obtaining comprehensive information, prospective students can choose the admission pathway that best suits their needs and educational plans.
What Will You Learn in the Artificial Intelligence Study Program at UMN?
The Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN) focuses on how computers can be designed to mimic human capabilities in learning, analyzing, making decisions, and solving problems intelligently. The program equips students with the knowledge and skills needed to develop AI technologies that can be applied across various industry sectors.
During the early stages of the program, students study fundamental subjects such as mathematics, statistics, algorithms, programming, data structures, and the fundamentals of computer science. These courses provide the foundation for understanding how artificial intelligence systems work and how AI models are developed.
As they progress through the program, students explore the core areas of AI technology. The curriculum covers machine learning, deep learning, computer vision, natural language processing (NLP), data mining, data science, data analytics, reinforcement learning, and the development of intelligent systems that support automated decision-making.
Students also learn how AI is applied to address real-world challenges. Today, artificial intelligence is utilized across various sectors, including healthcare, finance, manufacturing, education, media, transportation, and public services. Therefore, students learn to develop AI solutions that are not only accurate but also relevant to the needs of society and industry.
In addition to classroom learning, students participate in various laboratory sessions and projects that provide hands-on experience in building AI models, processing data, training algorithms, and evaluating the performance of the systems they develop. These experiences help students gain a comprehensive understanding of the AI development process, from data collection to solution implementation.
Students in the Artificial Intelligence Study Program at UMN also have opportunities to participate in research, competitions, internship programs, seminars, and collaborations with industry partners. These activities help students broaden their perspectives, stay up to date with the latest technological developments, and build professional portfolios that provide added value when entering the workforce.
In addition to technical competencies, students develop essential skills for the digital era, including critical thinking, data analysis, communication, collaboration, problem-solving, and an understanding of the ethical aspects of developing and applying artificial intelligence technologies. These competencies are becoming increasingly important as AI continues to evolve and is adopted across various aspects of society.
Upon completing the program, graduates of the Artificial Intelligence Study Program at UMN are expected to be capable of designing, developing, evaluating, and implementing AI-based solutions for a wide range of industry and societal needs. This preparation opens career opportunities as AI Engineer, Machine Learning Engineer, Data Scientist, Computer Vision Engineer, Natural Language Processing Engineer, AI Researcher, and many other professions related to artificial intelligence development.
Through a curriculum that keeps pace with technological advancements, practical learning experiences, and opportunities to participate in various projects and collaborations, the Artificial Intelligence Study Program at UMN prepares students to become graduates who are ready to embrace the challenges and opportunities of the artificial intelligence era.
What Is the Difference Between the Regular Program and the International Program in Artificial Intelligence at UMN?
The Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN) offers two study pathways: the Regular Program and the International Program. Both programs share the same objective of equipping students with competencies in artificial intelligence through a curriculum that is aligned with technological advancements and industry needs. The primary differences lie in the learning experience, language of instruction, and opportunities to gain international academic exposure.
The Regular Program is designed to provide a comprehensive learning experience through lectures, laboratory sessions, research, and various projects in the field of artificial intelligence. Students study a wide range of subjects, including machine learning, deep learning, computer vision, natural language processing (NLP), data science, data analytics, and the development of intelligent systems that can be applied across various industry sectors.
Meanwhile, the International Program offers a learning experience with a global perspective. In this program, selected courses are delivered in English, enabling students to strengthen their academic and professional communication skills in an international environment. Students also have opportunities to learn from guest lecturers, interact with international students, and collaborate with academic partners from various countries.
One of the key advantages of the Artificial Intelligence International Program at UMN is the opportunity to participate in the 3+1 Program in collaboration with Chang Gung University, Taiwan. Through this program, students have the opportunity to complete three years of study at UMN and one year at Chang Gung University, subject to the applicable regulations. This experience allows students to explore AI advancements within an international academic environment, expand their global networks, and enhance their readiness for an increasingly competitive global workforce.
Both the Regular Program and the International Program follow the same curriculum and learning outcomes. Students in both programs acquire core competencies in Artificial Intelligence, ranging from algorithm development to the application of AI technologies in solving real-world problems. As such, academic quality and graduate competencies remain top priorities in both study pathways.
The choice between the Regular Program and the International Program can be tailored to each prospective student’s academic goals and personal development plans. For students who wish to gain international learning experiences, improve their English proficiency, and study abroad through the 3+1 Program, the International Program is an excellent option. Meanwhile, the Regular Program continues to provide a high-quality learning experience through a relevant curriculum that is closely aligned with industry needs.
Before making a decision, prospective students are encouraged to explore information regarding the curriculum, tuition fees, and the various academic opportunities available in each program. By understanding the characteristics of both study pathways, prospective students can choose the program that best matches their interests, needs, and future career goals.
Do You Need to Be Good at Coding to Study Artificial Intelligence at UMN?
No. Prospective students do not need to be proficient in coding before enrolling in the Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN). Programming skills are taught progressively throughout the program, starting from fundamental concepts to their application in developing various artificial intelligence systems.
During the early semesters, students study the fundamentals of programming, algorithms, data structures, mathematics, and statistics as the foundation for understanding how AI technologies work. These courses are designed to help students build their competencies step by step, allowing those with no prior coding experience to follow the program successfully.
However, it is important to understand that Artificial Intelligence is much more than just coding. While programming is an essential skill for building AI models, the development of artificial intelligence also involves understanding data, designing algorithms, analyzing problems, evaluating results, and selecting the most appropriate solutions to meet specific needs.
For example, when developing a movie recommendation system or a facial recognition application, students do more than simply write code. They also learn how data is collected and processed, how machine learning models are trained, how results are evaluated, and how to ensure that systems operate accurately and responsibly. Therefore, logical and analytical thinking skills are just as important as programming skills.
In addition to technical competencies, students in the Artificial Intelligence Study Program at UMN also develop critical thinking, problem-solving, communication, collaboration, and an understanding of the ethical aspects of developing and applying AI technologies. These skills are becoming increasingly important as artificial intelligence is now used across many fields that directly impact society.
Prospective students who already have coding experience will certainly find it to be an advantage. However, those with no programming background should not be concerned. What matters most is having curiosity about technology, a willingness to learn new things, and the commitment to continue practicing. All the necessary skills are developed progressively through lectures, laboratory sessions, and various projects throughout the program.
If you are interested in learning how technology can help people make decisions, recognize patterns, process large amounts of data, and create meaningful innovations, the Artificial Intelligence Study Program at UMN is an excellent choice. The program does not require prospective students to be proficient in coding from the beginning. Instead, it prepares students to use programming as one of the essential tools for developing innovative AI-based solutions that are relevant to industry needs.
What Are the Career Prospects for Graduates of the Artificial Intelligence Study Program at UMN?
Graduates of the Artificial Intelligence (AI) Study Program at Universitas Multimedia Nusantara (UMN) enjoy extensive career opportunities as the adoption of artificial intelligence continues to grow across various industries. Today, AI technologies play a vital role in driving digital transformation in sectors such as healthcare, finance, manufacturing, media, education, logistics, and government. As a result, the demand for AI professionals continues to increase, both in Indonesia and globally.
Throughout their studies in the Artificial Intelligence Study Program at UMN, students develop the competencies needed to create AI-based solutions by leveraging data, algorithms, and computing technologies. They study a wide range of subjects, including machine learning, deep learning, computer vision, natural language processing (NLP), data science, data analytics, and the development of intelligent systems that support decision-making across various fields.
Graduates of the Artificial Intelligence Study Program at UMN have opportunities to pursue careers in many rapidly growing professions. These include AI Engineer, Machine Learning Engineer, Data Scientist, Computer Vision Engineer, Natural Language Processing (NLP) Engineer, Data Engineer, AI Researcher, Business Intelligence Analyst, AI Consultant, and AI Product Specialist. In addition to technology companies, graduates are also sought after by organizations in healthcare, banking, e-commerce, manufacturing, telecommunications, media, startups, and government institutions that are increasingly adopting AI technologies in their operations.
One of the key advantages of the Artificial Intelligence Study Program at UMN is the opportunity to participate in the 3+1 Program in collaboration with Chang Gung University, Taiwan. Through this program, students have the opportunity to complete three years of study at UMN and one year at Chang Gung University, subject to the applicable regulations. This international learning experience enables students to broaden their academic perspectives, gain insights into global AI advancements, and build professional networks that support their future careers.
In addition to technical competencies, students develop critical thinking, analytical thinking, communication, collaboration, and an understanding of the ethical aspects of artificial intelligence development. This combination of hard skills and soft skills equips graduates to develop AI technologies that are not only innovative but also responsible and beneficial to society.
Graduates of the Artificial Intelligence Study Program at UMN also have opportunities to pursue higher education, become researchers in the field of artificial intelligence, or establish technology-based startups. As AI continues to expand across various industries, opportunities to create new innovations and solutions will continue to grow.
With a curriculum that keeps pace with technological advancements, opportunities to gain international experience through the 3+1 Program in collaboration with Chang Gung University, and learning experiences that are aligned with industry needs, the Artificial Intelligence Study Program at UMN prepares graduates to become adaptive, innovative professionals who are ready to contribute to the advancement of artificial intelligence at both the national and international levels.
Accreditation Table
| Institution Accreditation |
 |
ECTS Points Table
| ECTS Points | 144 SKS |
| Education Type | Bachelor Program |
| Duration | 4 years |
| Language | Bahasa Indonesia |
| Bachelor's Degree | Bachelor of Computer (S.Kom.) |
Visi & Misi
Visi
Menjadi Program Studi Sarjana Kecerdasan Buatan unggulan yang menghasilkan lulusan berwawasan internasional, kompeten di bidang teknologi Kecerdasan Buatan, yang berjiwa wirausaha dan berbudi perkerti Luhur.
Misi
- Menyelenggarakan kegiatan pembelajaran dengan teknologi Kecerdasan Buatan dan kurikulum yang up to date dan link and match dunia industri, didukung oleh tenaga pendidik yang profesional.
- Menyelenggarakan kegiatan penelitian di bidang Kecerdasan Buatan untuk memajukan ilmu pengetahuan dan teknologi Kecerdasan Buatan.
- Melaksanakan kegiatan pengabdian kepada masyarakat berbasis ilmu pengetahuan dan teknologi Kecerdasan Buatan untuk menerapkan dan menyebarluaskan ilmu pengetahuan dan teknologi.
Generate Lorem Ipsum which looks reasonable?
AI Sustainable Specialist
AI Sustainable Analyst
Machine Learning Sustainable Engineer.
AI Sustainable Software Engineer
AI Sustainable Architecture Solution Specialist
Studi Lanjut
Graduates of the UMN Artificial Intelligence Study Program may continue their studies to a Master’s degree (S2) in fields such as Computer Systems, Computer Engineering, Software Engineering, Computer Science, and Electronic Engineering.
Capaian Pembelajaran
Kerja Sama Akademik
Program Studi Artificial Intelligence (AI) Universitas Multimedia Nusantara (UMN) memiliki kerja sama strategis dengan berbagai institusi dan organisasi untuk memastikan kualitas pendidikan yang berstandar global. Salah satu bentuk kolaborasi internasional dilakukan bersama Chang Gung University, Taiwan, yang memberikan kesempatan bagi mahasiswa untuk mendapatkan pengalaman belajar di tingkat internasional.
Sertifikasi Kompetensi
Certification Program Title: Programmable Logic Controller (PLC) Maintenance Technician with TÜV Rheinland Certified Qualification.
Admission Requirements:
Minimum educational background: Vocational High School, 4th grade,
majoring in: industrial automation, industrial electronics, mechatronics
Examination Components: Practical exam
Required Competencies:
In the examination participants prove their knowledge in the following areas:
Able to identify type of input, output and related items of PLC
Able to read and understand wiring diagram
Able to install and test the PLC and related devices Able to modify simple ladder diagram
Cooperation University
Cooperation Partner
Career Prospect
Graduates of the UMN Artificial Intelligence Study Program can pursue careers in various AI-related fields. Some potential career profiles include:
- AI Sustainable Specialist
- AI Sustainable Analyst
- Machine Learning Sustainable Engineer.
- AI Sustainable Software Engineer
- AI Sustainable Architecture Solution Specialist
Career Prospect
Graduates of the UMN Artificial Intelligence Study Program may continue their studies to a Master’s degree (S2) in fields such as Computer Systems, Computer Engineering, Software Engineering, Computer Science, and Electronic Engineering.
Student Scholarships
Scholarship pathways at UMN are offered to Grade XII high school students who demonstrate achievements in academics, sports, or the arts during Grade XI. In addition, UMN also provides scholarships for senior high school/vocational high school students who have earned medals in National and International Science Olympiads.
As a form of appreciation for the dedication of teachers and school staff in educating the nation’s future generations, UMN offers scholarships in the form of tuition fee reductions:
a 50% reduction in admission fees for children of teachers/principals, and
a 30% reduction in admission fees for children of school employees/staff
applicable to students from public and private senior high schools/vocational schools who wish to continue their studies at UMN.
Entry Requirement
- Graduates of Senior High School (SMA) majoring in Natural Sciences (IPA)
- Graduates of Vocational High School (SMK) majoring in Computer Engineering, Informatics Engineering, or Computer and Network Engineering.
Students are required to attend academic guidance meetings at least 3 times per semester. The schedule of the meetings will be provided by the respective academic supervisors. Students have to bring the academic guidance book for the meeting and they need to make sure that the academic supervisor signs it
Students are encouraged to find their own companies / agencies for their internships that align with the focus of the Informatics Study Program i.e. Industrial Automation. Information about available internships can be obtained from other students, social media, job fairs, advertisements in print or electronic media or even through the UMN Career Development Center (CDC).
To complete the Undergraduate Program (S-1) at Multimedia Nusantara University, students must prepare, present, and defend the thesis in front of the thesis examination board, in accordance with the provisions of the study program. The preparation of the thesis is done individually and the students can choose the supervisor directly provided that the selected supervisor agrees.
To support the learning process, umn provided a complete and sophisticated college facility, according to industrial standards. Through the existence of the facility, students have been invited to be close to the industrial world since sitting in college and to have competence that matches the needs of the industry. That way, it will make it easier for umn students to find jobs, even before graduation.
UMN also facilitates students to earn certificates before graduating. Viewing through an international scale, UMN […]
Laboratorium yang digunakan oleh mahasiswa untuk melaksanakan praktikum terkait fisika seperti teori suhu, panas, kelembaban […]
A laboratory that can be used by students to carry out practicum on thermodynamics related […]
A tool that can be used by students to design electronic devices directly from software […]
By using an official device from Huawei, this laboratory is used by students to study […]
Means that can be used to support thesis and final assignment activities of students.
The Digital Interaction Lab is the result of the development of the Game Development […]
To support Smart Factory training, a specialized lab is provided, fully equipped with the […]
The Cyber Security Laboratory is equipped with various hardware and software designed to support learning […]
This laboratory serves to support specialization in Energy Management and Building Physics. Through this laboratory, […]
This laboratory serves to support specialization in Energy Management and Building Physics. Through this laboratory, […]
The Artificial Intelligence Laboratory is equipped with various hardware and software designed to support AI […]
Extracurricular Student Activities
In order to help students explore and develop their non-academic potentials, UMN also provides a variety of extra-curricular activities for students which is locally called UKM, Student Activity Unit.
Student who are Nature Lovers in University Multimedia Nusantara can join and participate in UMN’s […]
Ultima Sonora is the Universitas Multimedia Nusantara Choir ensemble which has been established since 2007. […]
UMN Symphony Orchestra (USO), is one of the arts and culture UKM at UMN. As […]
Traditional Music and Dance or familiarly known as TRACCE is one of the Student Activity […]
Qorie is one of the many Student Activity Units at Universitas Multimedia Nusantara that has […]
Obscura is a Student Activity Unit (UKM) engaged in photography under the auspices of Universitas […]
SEE OTHER
UMN’S STUDENT ACTIVITIES
Training & Certification
Universitas Multimedia Nusantara encourages students of the Artificial Intelligence (AI) Study Program to continuously develop their skills through various training and certification programs that are aligned with industry needs. Whether students aim to enhance their career readiness or deepen their technical expertise in artificial intelligence, these programs are designed to provide comprehensive and practical competencies.
One form of support provided is the opportunity to obtain the internationally recognized Pearson Information Technology Specialist Artificial Intelligence certification, which serves as an added value for students in facing global competition in the AI field. Through a combination of training, project-based learning, and certification programs, students are prepared to become competent professionals who are ready to contribute to the artificial intelligence industry.
- AI Sustainable Specialist
Professionals with knowledge and expertise in Sustainable Artificial Intelligence to solve complex industrial problems.
- AI Sustainable Analyst
Experts who are capable of designing, analyzing, and interpreting data using various Sustainable Artificial Intelligence techniques and technologies to generate valuable insights for decision-making.
- Machine Learning Sustainable Engineer
Professionals with expertise in designing and developing sustainable machine learning systems and models, as well as selecting and implementing appropriate ML algorithms to create automated problem-solving solutions.
- AI Sustainable Software Engineer
Professionals who are capable of designing and developing intelligent software or systems that integrate Sustainable Artificial Intelligence, such as intelligent agents, automation systems, and recommendation systems.
- AI Sustainable Architecture Solution Specialist
Professionals responsible for designing and implementing Sustainable Artificial Intelligence solutions integrated with organizational business systems, focusing on the development of effective end-to-end AI solutions that provide added value for specific business needs.
Continuing Education Department
Continuing Education Department (CED) adalah program pengembangan pendidikan di Universitas Multimedia Nusantara (UMN) yang merupakan bagian dari Grup Kompas Gramedia. Kami memiliki berbagai program dalam kursus bahasa, pengembangan manusia, Pusat Pengujian untuk sertifikasi nasional dan internasional, dan program pelatihan. CED UMN dirancang untuk memenuhi kebutuhan siswa sekolah menengah dan perguruan tinggi, serta masyarakat dan profesional.
“Through its study programs and carefully designed curriculum, UMN aims to support students in becoming pioneers of future technology, both nationally and internationally. UMN also encourages students to help sustain and positively transform human life and the environment in Industry 5.0 and other future industrial revolutions to come.”
Dr. Eng. Niki Prastomo, S.T., M.Sc.
Dean of the Faculty of Engineering and Informatics
Artificial Intelligence
The Artificial Intelligence (AI) Study Program at UMN focuses students’ learning on the development of sustainable artificial intelligence (Sustainable AI), including machine learning, data analysis, and intelligent system development. Students will be equipped with in-depth knowledge in the field of Artificial Intelligence, ranging from basic concepts to cutting-edge technologies such as Generative AI and the application of AI across various industrial sectors.
