Introduction
Vision & Mission
Program Objective
Expected Learning Outcomes
Prospective Career of The Graduate
Course Structure
Prerequisites
Quality Controlled Examination (UPM)

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Introduction

As the world has entered the era of big data, the need for processing big data is required. The use of Big Data will become the basis of competition and growth for industry and business. Data Science is the secret recipe here. Data Science is a blend of various technology tools, statistics, and machine learning with the goal of discovering hidden patterns from the raw data. It can enhance productivity and create significant value for the world economy by increasing the quality of products and services and reducing waste. The students will solve complex data problems with their strong Data Science expertise. They will use the latest technologies in finding solutions and reaching conclusions. The program can be completed within 3.5-4 years. Furthermore, to provide one-year work experience for students, there are industrial internships, interesting research, or entrepreneurship programs.

Vision

A world class study program by providing excellent educational experiences in Computer Science, which focuses on developing creative technology solutions, fostering and empowering the society in building and serving the nation.


Mission

The mission of Computer Science Department is to contribute to the global community through the provision of world-class education by:

  1. Educating students to effectively apply their educational experiences in developing creative solutions in computer science, to solve real-world problems.
  2. Preparing graduates to develop exemplary soft skills & technical skills required as computer science professionals, leaders, and entrepreneurs in global market.
  3. Promoting high impact computer science research that contributes to the nation.
  4. Fostering BINUSIAN as computer science lifelong learners through self-enrichment.
  5. Empowering BINUSIAN to continuously improve society’s quality of life through knowledge in computer science.

Program Objective

The objectives of the program are:
  1. Graduates will become successful professionals in ICT fields;
  2. Graduates will obtain employment in global companies or become entrepreneurs;
  3. Graduates will obtain professional certification or continue their study to the postgraduate.
 

Student Outcomes

After completing the study, graduates are:
  1. Able to analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions;
  2. Able to design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of computer science;
  3. Able to communicate effectively in a variety of professional contexts;
  4. Able to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles;
  5. Able to function effectively as a member or leader of a team engaged in activities appropriate to computer science;
  6. Able to apply computer science theory and software development fundamentals to produce computing-based solutions.

Prospective Career of the Graduates

The graduates of Data Science program can follow careers in:

  1. Data Architect
  2. Data Engineer
  3. Data Analyst
  4. Data Visualizer
  5. Database Administrator
  6. Machine Learning Scientist

Course Structure for Binusian 2029

Sem Code Course Name SCU Total
1 CHAR6013001 Character Building: Pancasila 2 20
MATH6025001 Discrete Mathematics 4
MATH6031001 Calculus 4
COMP6047001 Algorithm and Programming2(AOL) 4/2
DTSC6001001 Introduction to Data Science2 2
COMP6798001 Program Design Methods1 (AOL) 2
Foreign Language Courses 0
2 CHAR6014001 Character Building: Kewarganegaraan 2 20
MATH6030001 Linear Algebra 2
COMP6048001 Data Structures1&2 (AOL) 4/2
STAT6171001 Basic Statistics 2
ENPR6311001 Creativity and Innovation 2
DTSC6013001 Data Mining and Visualization1&2 (AOL) 2
COMP6065001 Artificial Intelligence2 (AOL) 4
Foreign Language Courses 0
3 CHAR6015001 Character Building: Agama 2 19
LANG6027001 Indonesian 2
CPEN6247001 Computer Networks (AOL) 2/1
DTSC6014001 Machine Learning1&2 (AOL) 2
MATH6183001 Scientific Computing (AOL) 2/1
DTSC6002001 Data Management and Organization1 2
COMP6799001 Database Technology2 (AOL) 2/1
DTSC6010001 Bayesian Data Analysis 2
Foreign Language Courses 0
4 COMP6049001 Algorithm Design and Analysis1 (AOL) 4 20
DTSC6011001 Survey and Sampling Methods 2
DTSC6012001 Model Deployment 2
COMP6800001 Human and Computer Interaction2 (AOL) 2/1
SCIE6063001 Computational Physics (AOL) 2/1
COMP6697001 Operating System (AOL) 2
DTSC6007001 Deep Learning 2
DTSC6003001 Big Data Infrastructure and Technology1 2
Foreign Language Courses 0
5 ENPR6312001 Venture Creation 2 21
SCIE6062001 Computational Biology 2/1
COMP6062001 Compilation Techniques 4
COMP6696001 Research Methodology in Computer Science1 (AOL) 2
DTSC6008001 Text Mining 2
DTSC6004001 Data Security 2
COMP6100001 Software Engineering 2(AOL) 4
DTSC6015001 Prescriptive Data Science 2
6 Enrichment Program I 20 20
7 Enrichment Program II 20 20
8 COMP6743001 Pre-Thesis 2 6
COMP6744001 Thesis 4
COMP6862001 Thesis 6
TOTAL CREDITS 146 Credits

   1) This course is delivered in English
  2) Global Learning System Course

-) (AOL) – Assurance of Learning Process System

Foreign Language Courses:
Students will take foreign language courses according to Beelingua Placement Test results. See foreign language courses appendix for the details. Students must pass with a minimum Grade of C.

Pre-thesis (2 SCU) & Thesis (4 SCU) can be taken in the 6th and/or 7th semester by the students who meet the requirements from the Study Program/Program

 Enrichment Program I (6th Semester) & Enrichment Program II (7th Semester):
-) Student will take one of enrichment program tracks (off campus). See enrichment appendix for the tracks detail.

Enrichment Track Scheme

Track Semester 6 Semester 7
IN RS EN CD SA IS etc IN RS EN CD SA IS FS etc
1 v v
2 v v
3 v v
4 v v
5 v v
6 v v
7 v v
8 v v
9 v v
10 v v
11 v v
12 v v
13 v v
14 v v
15 v v
16 v v
17 v v
18 v v
19 v v
20 v v
21 v v

Note:
IN            : Certified Internship
RS           : Certified Research
EN          : Certified Entrepreneurship
CD          : Certified Community Development
SA           : Certified Study Abroad
IS            : Certified Specific Independent Study
FS           : Further Study
etc           : Study Program Special Purposes

Description:

  1. Students will take only one track in each Enrichment Program.
  2. Students who failed in Enrichment Program I can retake according to the table above.
  3. As for Enrichment Program II, students who failed should retake the same track, except Certified Specific Independent Study.
  4. For those who failed in the Certified Study Abroad track will retake the courses from the home campus.

 

Prerequisites for Binusian 2029

There is no prerequisite for this program

Quality Controlled Courses for Binusian 2029

Student should pass all of these quality controlled courses as listed below:
No. Course Code Course Name Minimal Grade
1. CHAR6013001 Character Building: Pancasila B
2. ENPR6312001 Venture Creation C
3. COMP6047001 Algorithm and Programming* C
4. COMP6048001 Data Structures* C
5. COMP6798001 Program Design Methods* C
6. COMP6100001 Software Engineering* C
7. COMP6799001 Database Technology C
8. COMP6697001 Operating System C
*) TutoriaL