Curriculum

Based on ITS Curriculum Development Guidelines 2014-2019 chapter 9 article 1 and 2, curriculum as standard reference of minimum quality to carry out study program  is a set of planning and controlling goals, contents and course materials and tools used as implementation guidelines to achieve  study program goals. In accorandce with Presidential Regulation No. 8 of 2012 about KKNI (Indonesian National Qualification Framework), the curriculum of Sarjana degree (S1) Statistics is compiled upon Graduate Learning Outcomes refered to KKNI. This Learning Outcomes (LO) covers 4 aspects. They are :

  1. Job skills (SKILL)
  2. Knowledge management (KNOWLEDGE)
  3. Managerial skills (MANAGERIAL)
  4. Attitudes and Professional Ethics

In the other hand, Learning Outcomes (LO) is also compiled based on graduates’ profiles of Sarjana degree (S1) Statistics ITS. In general , the graduates are working in 5 sectors i.e., Industry, Business-Economics, Computing, Social-Government and Environmental-Health as shown in Table S1-1 below :

Table S1-1. Graduates’ Profiles of Statistics Undergraduate Program- FMIPA-ITS

No

Profile Sectors

1

Marketing Manager Industry

2

PPIC Manager

3

Quality Control Manager

4

System Analysist/Programmer/MIS Computing

5

Selling Analyst Business-Economics

8

Stock Exchange Analyst

9

Bank Installment Analyst/Insurance

10

Insurance Manager

11

Actuaria

12

Tax Analyst

13

Government Analyst Social-Government

14

Construction Planner

15

Consultant Industry, Computing, Business-Economics, Social-Government and Environment-Health

16

Researcher

17

Academician/Educator

15

Administrative staff General

16

HRD Manager

To achieve those profiles, 4 aspects of KKNI as mentioned above and various courses that are able to fulfil job skills in 5 sectors are badlly needed. To obtain job skills as one aspect of LA in KKNI, some applied courses which are directly useful in job fields are required. In this case, the curriculum of S1 Statistics Study Program provides 5 applied Courses Groups (CG) in 5 sectors. They are Industrial Statistics, Computational Statistics, Business-Economics Statistics, Social-Government Statistics and Environmental-Health Statistics.

Whereas to achieve Kowledge Management aspect where statistical application is based on 5 course groups aforementioned , Modeling CG is required. And to support mastering Modeling course , Statistical and Mathematical theories are needed. Meanwhile, Computational Statistics CG is essential to support analytical skills in statistical method application.

Managerial Skills, and Attitudes and Norms as soft skills are hoped could be achieved in learning process of all CGs. However there are 2 courses that might be able prominently to build Attitudes and Norms i.e. Religious Education ( 2 credits) and National Outlook (3 credits). They are generally called as national content. Whereas to obtain Managerial Skills , Technology Outlook and Scientific Communication (WTKI), Technopreneurship and English respectively 3 credits as institutional content are given. The relation of KKNI aspects and body of knowledge in curriculum of Undergraduate (S1) Statistics Study Program can be seen in Ilustration S1-1.

Structural design of curriculum of S1 Statistics Study Program  ITS covers : 113 credits for compulsory courses, 17 credits for elective courses and 14 credits for general courses (can be seen in Table S1-2). There are 9 credits for institutional content and 5 credits for national content in compulsory courses (Table S1-2). The department provides 80 credits for elective courses divided into 6 CC (Course Cluster). They are Industrial Statistics, Business-Economics Statistics, Computational Statistics, Social-Government Statistics and Environmental-Health Statistics. The relation of KKNI aspects  and CGs can be seen in Table S1-3, whereas the number of credits in each CG can be seen in Table S1-4 below.

Table S1-2 : The number of credits for Undergraduate Program of Statistics

No

Courses Group

Number of credits

%

1

Compulsory

113

78%

2

Elective

17

12%

3

General

14

10%

 

Total

144

100 %

Table S1-3: Relation of KKNI aspects and CG.

Learning Achievement of KKNI aspects

Course Cluster Total Credits Total
Elective Compul-sory
Attitudes and Norms Knowledge Management     General Courses   5 5
Job skills Managerial skills Institutional Content   9 9
Modeling   14 14
Computation 14 24 38
Industry 21 10 31
Business- Economics 21 7 28
  Social-Goverment 9 0 9
Environmental-Health 12 0 12
    Theory   27 27
Modeling 3 31 34
Total Credits 80 127  

and Total Credits according to Courses Groups:

Table S1-4: Total Credits according to CG

No

CC

Total credits provided

Total

Elective

Compulsory

1

Theory

0

27

27

2

Modeling

3

45

48

3

Industry

21

10

31

4

Computation

14

24

38

5

Business-Economy

21

7

28

6

Social-Government

9

0

9

7

Environment-Health

12

0

12

8

General Course

0

14

14

Total Credits

80

127

207

Code and number of courses in format of SS141xyz  mean :

SS : Statistical Science

14  : Curriculum 2014,

1    : Undergraduate/ Strata One (S1),

x    : number showing :

1– General Courses Group i.e. National Content and ITS content,

2– Supporting Courses Group i.e. courses that form knowledge management aspect.

3– Compulsory Courses Group, i.e.courses that form knowledge management aspect as distinctive feature of compulsory study program.

4– Elective Courses Group , i.e. courses that form knowledge management aspect as distinctive feature of selected study program.

5– Undergraduate thesis, Thesis, and Dissertation.

yz : series number of each course.

The best people are those who are most useful to others (Prophet Muhammad PBUH)