Specialization on Information Management of Master Program in Computer Science

The special Master of Computer Science program can be taken in 3 to 4 semesters. To be able to graduate and obtain the M.Cs. degree, students must have completed 42 credits of courses consisting of 18 credits of compulsory courses and 24 credits of elective courses. The structure of the courses that must be taken each semester is presented in the Table. The course structure is designed to be taken over 3 semesters, but it is possible for students to take the 4th semester to repeat the compulsory courses and other elective courses. In the first semester, students are required to take 18 credits consisting of 9 credits of compulsory theory courses and 9 credits of elective courses. Furthermore, in the second semester, students are required to take 4 compulsory courses, namely 2 credits of Thesis Proposal, 6 credits of compulsory interest courses if not taken in the previous semester, and can take a maximum of 9 credits of elective courses. In the third semester, students are required to take 2 compulsory thesis courses, namely Thesis Seminar and Thesis. The course structure of the Master of Computer Science Study Program can be seen in the following table.

Compulsory courses consist of courses that must be taken by every student, both theory and thesis/research. The following table is a list of compulsory courses in the Master of Computer Science Special program.

List of Compulsory Courses Table

In addition to compulsory courses, to support students’ research interests and the intended graduate profile, the 2022 Curriculum provides Specialization Courses as shown in the Table. For the Special Class of the Master of Computer Science Program, specialization courses are a package of elective courses that must be taken according to the semester. However, the Special Class of the Master of Computer Science Program students can still take elective courses that align with their interests.

Elective courses are provided by several research laboratories within the Department of Computer Science and Electronics, namely Algorithms and Computation Laboratory (AC), Intelligent Systems Laboratory (IS), Software and Data Engineering Laboratory (SDE), Computer and Network Systems Laboratory (CNS), and Electronics and Instrumentation Laboratory (Elins). All elective courses will be offered in each semester. However, due to certain reasons or technical considerations, elective courses may not be available or may be canceled for the concerned semester.

Elective courses are divided into 3, namely specialization courses, supporting courses, and publication elective courses. specialization courses are courses that are required of students in accordance with the areas of research interest related to certain graduate profiles consisting of four fields, namely data science, computational science, computer systems and information management. Meanwhile, supporting courses are supporting courses that can be selected according to the thesis research topic.