Data Science

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:

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

Program Objective

The objectives of the program are:

Graduates will become successful professionals in ICT fields;
Graduates will obtain employment in global companies or become entrepreneurs;
Graduates will obtain professional certification or continue their study to the postgraduate.

Student Outcomes

After completing the study, graduates are:

Able to analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions;
Able to design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of computer science;
Able to communicate effectively in a variety of professional contexts;
Able to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles;
Able to function effectively as a member or leader of a team engaged in activities appropriate to computer science;
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:

Data Architect
Data Engineer
Data Analyst
Data Visualizer
Database Administrator
Machine Learning Scientist

Course Structure for Binusian 2025

Sem	Code	Course Name	SCU	Total
1	CHAR6013001	Character Building: Pancasila	2	20
	MATH6025001	Discrete Mathematics	4
	MATH6031001	Calculus	4
	COMP6047001	Algorithm and Programming^**	4/2
	DTSC6001001	Introduction to Data Science^**	2
	COMP6798001	Program Design Methods^*	2
2	CHAR6014001	Character Building: Kewarganegaraan	2	20
	MATH6030001	Linear Algebra	2
	COMP6048001	Data Structures^&*	4/2
	STAT6171001	Basic Statistics	2
	ENTR6509001	Entrepreneurship: Ideation	2
	DTSC6005001	Data Mining and Visualization^&*	2/1
	MATH6183001	Scientific Computing	2/1
3	CHAR6015001	Character Building: Agama	2	21
	LANG6027001	Indonesian	2
	COMP6065001	Artificial Intelligence^**	4
	DTSC6006001	Machine Learning^&*	2/1
	SCIE6063001	Computational Physics	2/1
	DTSC6002001	Data Management and Organization^*	2
	COMP6799001	Database Technology^**	2/1
	English University Courses
	ENGL6129001	English Savvy	2
	ENGL6131001	English for Written Business Communication	2
4	COMP6049001	Algorithm Design and Analysis^*	4	21
	DTSC6009001	Survey and Sampling Methods	4
	COMP6800001	Human and Computer Interaction^**	2/1
	CPEN6247001	Computer Networks	2/1
	SCIE6062001	Computational Biology	2/1
	DTSC6007001	Deep Learning	2
	DTSC6003001	Big Data Infrastructure and Technology^*	2
5	ENTR6511001	Entrepreneurship: Market Validation	2	18
	COMP6697001	Operating System	2
	COMP6062001	Compilation Techniques	4
	COMP6696001	Research Methodology in Computer Science^*	2
	DTSC6008001	Text Mining	2
	DTSC6004001	Data Security	2
	COMP6100001	Software Engineering^**	4
6	Enrichment Program I		20	20
7	Enrichment Program II		20	20
8	COMP6747001	Pre-Thesis	2	6
	COMP6748001	Thesis	4
	COMP6861001	Thesis	6
TOTAL CREDITS 146 Credits

*) This course is delivered in English
**) Global Learning System Course

English University Courses:
-) For English University Courses, students with Binus University English Proficiency Test scores less than 500 will take English Savvy, and students with test scores greater than or equal to 500 will take English for Written Business Communication.
-) Students must pass English Savvy with a minimum Grade of C.

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

Enrichment Program I (6^th Semester) & Enrichment Program II (7^th 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
Track	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

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:
Student will take one of enrichment program tracks

Students who failed in Enrichment Program I can retake with the same track or change into another track. As for Enrichment Program II, student who failed with Certified Internship, Certified Research, Certified Community Development, and Certified Study Abroad track on Enrichment Program II, can retake with the same track or change into another track. However students who take Certified Entrepreneurship track on Enrichment Program II, should retake with another track.

Prerequisites for Binusian 2028

There is no prerequisite for this program

Quality Controlled Courses for Binusian 2028

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.	ENTR6511001	Entrepreneurship: Market Validation	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