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Study Program Name:Bachelor of Data Science (S-1)
Science group:
Concentration / Specialisation:
Graduate Title / Mention:Bachelor of Data Science
Title abbreviations according EYD:S.Si.D
Title abbreviations are popular (used public):S.Si.D
PTS organizers (please click):UICI Insan Cita Indonesia University
Study Period & Study Load (Credits) :
SMA/SMU, SMK graduates, equivalent proceed to
S1 Sains Data
Study Load = 144 - 152 sksStudy Period =
8 semester
D3, Polytechnic graduates, equivalent proceed to
S1 Sains Data
Study Load = 40 - 46 sks
(If not a piece of science additional are given 2 - 21 sks)
Study Period =
3 semester
D2, S1, D1 graduates, transfer proceed to
S1 Sains Data
Study Load = Calculated from remaining creditsStudy Period =
Calculated remaining credits

Curriculum / Subjects Courses:See below
Prospectus (Objectives, Competencies, Job Prospects / Career Graduates):See below

Title/mention above is a title often used (not necessarily used PTS).

Regarding title (for S1, S2, S3) or mention (for diploma) which is used by universities in Indonesia currently has no standard (not standard) again, although the government has made the rules, but most colleges only obey some of the rules the. It can not be blamed, because the development of the science group is very rapid and led to new branches of science which is an integration of several scientific groups, making it difficult for universities to classify these branches of the science group that created the government.

Similarly, by making short title / mention such, people tend to create their own abbreviations that are even more popular than EYD Indonesian rule.

Below given curriculum / course and prospectus (competency, job prospects / career graduates, etc.). For subjects study program of presented here is a slice (and some combination) of a college curriculum, so it is possible some no elective courses at the college, or the slightly different name of his courses.


Prospectus S1 Data Science


Data Science is an applied science that specifically studies and analyzes data.
This major prepares its graduates to become experts who can handle data (both structured and unstructured),
solve problems, and make recommendations based on data.
Educational Goals:S1 Data Science


The educational goals of the Data Science Undergraduate Study Program are as follows:
1. Provides a deep understanding of basic concepts in data processing and analysis.
2. Apply data science concepts in business and industrial contexts.
3. Study decision making, risk management, predictive modeling, optimization, and product development.
4. Applying ethical principles in the collection, processing, and use of data to ensure that the data
used responsibly and respecting individual privacy.
Competence of graduates:S1 Data Science


• Able to master statistical and mathematical concepts and methods in processing and analyzing data for
generate recommendations when the decision-making process.
• Be able to choose tools / methods / software that are as needed in their professional practice to take
decision based on available information.
• Able to integrate data science concepts and practices to support decision-making processes.
• Able to master programming models, programming languages, databases, information retrieval, data visualization, andinteractive web page interface.
Profession and Career GraduatesBachelor Of Data Science


• Data Scientist
• Data Analyst
• Data Science Architect
• Business Analyst
• Ahli Statistik (Statistician)
• Machine Learning Engineer.


S1 Data Science Course
* = Specific / General Courses

SubjectsSKS
Religion I2
Pancasila2
Citizenship2
Indonesian2
List and Library2
Basic Biology2
Basic Chemistry2
Introduction to Statistics3
Introduction to Programming2
Logic and Critical Thinking3
Introduction to Scientific Collaboration2
Communication and Personal Development2
Basic Physics2
Math3
Introduction to Advanced Technology2
Statistical Method4
Programming Algorithm I3
Advanced Math3
English2
Nonparametic Statistics3
Probability4
SubjectsSKS
Green Technology2
Data exploration and visualization3
Operations Research3
Introduction to Artificial Intelligence3
Mathematical Statistics3
Statistical Computing3
Introduction to Databases4
Data Mining I4
Mathematical Method3
Multivariate3
Data Mining II4
Database4
Stochastic Process3
Academic Research and Development Expertise3
Religion II2
Fieldwork Practice2
Research Method2
Data Science Consulting3
Entrepreneurship2
Thesis4


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