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*) Score based on a test similar to the TOEFL. **) Sports activities (minimum 1 semester) are mandatory SKEM.
Based on the ITS Curriculum Preparation Guidelines 2018 – 2023 article 9 paragraphs 1 and 2, the curriculum is a reference to the minimum quality standard for the implementation of a study program, which is a set of plans and arrangements regarding the objectives, content, and learning materials as well as the method used as an implementation guideline to achieve the objectives of the study program. In accordance with the Presidential Regulation of the Republic of Indonesia No. 8 of 2012 concerning KKNI, the curriculum for the D-III Statistics study program is prepared based on the learning outcomes of graduates referring to the Indonesian National Qualifications Framework (KKNI), where the Learning Outcomes of the D-III Statistics Study Program curriculum include 4 elements, namely Attitude, General Skills, Specific Skills, and Knowledge Mastery.
The preparation of Learning Outcomes (CP) for the D-III Statistics Study Program in addition to covering the 4 elements above, also considers the profile of graduates, where the profiles of graduates of the ITS Statistics D-III study program include Data Analysis, Quality Control/Quality Assurance, PPIC, Bureaucrats, Analysis Bank Credit/Insurance, Cost Analysis, Entrepreneurship, Marketing.
To achieve the four elements of the KKNI, a Statistics DIII Study Program curriculum was prepared which consists of 110 credits, of which 59 credits support the first element, namely Workability which consists of 9 CP, 40 credits support the second element, namely Knowledge Mastery which consists of 7 CP, and 11 credits are ITS content courses. While the third element, namely Managerial Ability, consists of 5 CP, and the fourth element, namely Attitude and Values, consisting of 1 CP, has been embedded in every existing course, where the 110 credits must be taken within 6 semesters.
The D-III Statistics Study Program curriculum includes 4 (Four) Clusters of Courses (RMK), namely RMK Formal Statistics, Modeling Statistics, Industrial Statistics, and Business Statistics, where the RMK Formal Statistics consists of 14 credits (6 courses), Modeling Statistics RMK consists of 27 credits (9 courses) RMK Industrial Statistics consists of 18 credits (6 courses), and RMK Business Statistics consists of 18 credits (7 courses). For ITS content courses, there are 27 credits (11 courses), while the Practical Work and Final projects are 2 credits and 4 credits, respectively.
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