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In the era of data science and cloud, every enterprise is required not only to provide fast and accurate information, but also to utilize existing data collections to be processed into information that can be utilized by the enterprise manager or other enterprises. Therefore, the need for human resources as data scientists who are able to handle information and process and analyze data sets properly and correctly is a must. In addition, to anticipate the needs of both public and private institutions that will send their employees to attend further education in the field of data science without having to interfere with their work, special arrangements need to be made for both the implementation and the lecture material.
In line with these objectives, starting in the 2017/2018 academic year, the Master of Computer Science Study Program opened a special class program, namely the Special Class of the Master of Computer Science Program to meet the needs of reliable personnel in the field of data science handling. These graduates will obtain a Master of Computer Science degree abbreviated as M.Cs.
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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.
Semester Course Credits 1 Algorithm Analysis 3 Computer Science Research Methodology 3 Mathematics for Computer Science 3 Elective Course 1 3 Elective Course 2 3 Elective Course 3 3 Total 18 2 Master Thesis Proposal 2 Specialization Course 1 3 Specialization Course 2 3 Elective Course 4 3 Elective Course 5 3 Elective Course 6 3 Total 17 3 or 4 Master Thesis Seminar 1 Master Thesis 6 Total 7 Final Sum 42 -
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
No. Course Code Course Name Credits Semester Prerequisite Type 1 MII22501 Algorithm Analysis 3 1 – CMP 2 MII226001 Computer Science Research Methodology 3 1 – CMP 3 MII225202 Mathematics for Computer Science 3 1 – CMP Total 9 4 MII226002 Master Thesis Proposal 2 2 MII226001* CMP Total 2 5 MII226010 Master Thesis Seminar 1 3 MII226002 CMP 6 MII226011 Master Thesis 6 3 MII226010* CMP Total 7 Final Sum 18 -
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.
List of Specialization Courses Table
No. Course Code Course Name Credits Semester 1. MI22I6501 Data Science 3 1 2. MII226503 Data Warehouse and Business Intelligence 3 2 3. MII226404 Decision Support System 3 2 4. MII226505 Digital Intelligence and Social Informatics 3 2 5. MII226506 Management and Audit of Information System
3 2 6. MII226502 Information Retrieval System 3 3 7. MII226501 Cloud Computing and Cyber Security 3 3 8. MII226504 Software Development 3 3 -
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.
List of Elective Courses Table
No. Course Code Course Name Credits Research Lab 1 MII226003 Research Assistantship 1 – 2 MII226004 Teaching Assistantship 1 – 3 MII226005 Special Topics on Computer Science 3 – 4 MII226203 Theory of Computation 3 AC 5 MII226204 Cryptology 3 AC 6 MII226205 Digital Image Processing and Analysis 3 AC 7 MII226206 Operation Research 3 AC 8 MII226207 Verification and Validation 3 AC 9 MII226301 Computer System of Industry 3 Elins 10 MII226302 Robotics Programming 3 Elins 11 MII226303 Modern Control System 3 Elins 12 MII26304 Electronic System Design Synthesis 3 Elins 13 MII226305 Signal and Systems 3 Elins 14 MII226401 Computational Intelligence and Machine Learning 3 IS 15 MII226402 Principles of Artificial Intelligence 3 IS 16 MII226403 Feature Engineering and Pattern Recognition 3 IS 17 MII226404 Decision Support System 3 IS 18 MII226501 Data Science 3 SDE 19 MII26502 Information Retrieval System 3 SDE 20 MII226503 Software Development 3 SDE 21 MII226504 Data Warehouse and Business Intelligence 3 SDE 22 MII226505 Management and Audit of Information System 3 SDE 23 MII226601 Cloud Computing and Cyber Security 3 CSN 24 MII226602 Advanced Computer Networking 3 CSN 25 MII226603 Big Data Platform and Architecture 3 CSN 26 MII226106 International Journal Publication 5 – 27 MII226107 Accredited National Journal Publication 5 – 28 MII226018 International Seminar Proceeding Publication 4 – 29 MII226019 National Seminar Proceeding Publication 2 –
