Welcome to Gunadarma University

Computer Science

Program Overview

The Information Systems Study Program was established in 1984 alongside the undergraduate programs at Universitas Gunadarma. The program is housed under the Faculty of Computer Science and Information Technology, with over 4,000 students and 220 lecturers as of 2024. It emphasizes global collaboration through partnerships with both domestic and international universities, government agencies, and private sectors, aiming to contribute to sustainable development in information systems management and development, particularly in artificial intelligence

Graduate Profile

Graduates of the Information Systems program are equipped with five key competencies:

  • Ability to design, analyze, implement, and measure information system performance using modern methods and programming tools.
  • Ability to design, implement, and manage large-scale databases aligned with evolving information technology.
  • Proficiency in managing information systems services in various organizations to ensure service quality.
  • Competence in applying logical, critical, and innovative thinking in the development and application of information systems, with adherence to ethical standards.
  • Integrity and global insight, with a capability for continuous knowledge development and broad networking, both locally and internationally.
  • Graduates are prepared for roles such as Data Scientist, Data Analyst, Database Administrator, IT Consultant, System Developer, Artificial Intelligence Developer, Chief Information Officer (CIO), Chief Technology Officer (CTO), Information Security Analyst, and IT Entrepreneur

Curriculum Overview

The Information Systems program requires students to complete 144 credits over 8 semesters. The curriculum includes:

  • Core Subjects: Information Systems theory, programming, database management, computer systems, IT business and management, artificial intelligence, and machine learning.
  • Advanced Projects:
  • In Semester 6, students undertake scientific research, often preceded by short internships, addressing problems faced by the community or industries.
  • In Semester 7, students participate in a capstone project, applying theoretical knowledge and skills to solve real-world information systems challenges.
  • Final Project: In Semester 8, students must complete a final thesis or project that may include system design, system analysis, AI model implementation, or application development.
  • The learning approach is student-centered, utilizing methods like Project-Based Learning, Problem-Based Learning, and Collaborative Learning. The curriculum also offers professional skills training in programming, database design, computer networking, and data science.
  • Students have three program alternatives that combine university-based learning and industry internships, enhancing their practical experience.