Computer Science – Applied Mathematics

Introduction

The contribution of interdisciplinary study is becoming increasingly integrated in our society. It’s due to collect more data easier about ourselves and our environment in today’s world. The interdisciplinary study concerned with the finding of insight from large volumes of unstructured data is called as Data Science. The combination of Mathematics and Computer Science into one study program is intended to maximize the capabilities of the students to get insight in data produced by current technology. This study program has high practical relevance, as the insight from abundant data is an important economic activity. For example, data science techniques can be used for maintaining an information model of the dynamic environment, based on things like real-time sensor data. The program can be completed within 4 - 4.5 years. Furthermore, to provide work experience for students, there are industrial internships, interesting research or entrepreneurship programs for 1 semester.   Catalog 2016 (PDF), Catalog 2017 (PDF), Catalog 2018 (PDF), Catalog 2019 (PDF), Catalog 2020 (PDF), Catalog 2021 (PDF)

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Vision

A World Class study program by providing excellent educational experiences in Computational Mathematics, Fostering and Empowering the Society in Serving and Building the Nation.

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Mission

The mission of Computer Science and Mathematics Program 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 Computational Mathematics to solve real-world problems.
2. Preparing our graduates to develop exemplary soft skills & technical skills required as ICT professionals, leaders and entrepreneurs in global market.
3. Promoting high impact research that contributes to the nation.
4. Fostering BINUSIAN as lifelong learners through self-enrichment.
5. Empowering BINUSIAN to continuously improve society’s quality of life.

 

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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 level;
4. Graduate will have ability to pursue higher degree of education.

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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;
7. Able to explore, logical reasoning, generalization abstraction, and formal proof in formulating and model problems with specific variables and assumptions through mathematical approach with or without mathematical software;
8. Able to develop mathematical models of problems and analyze their performance and draw contextual conclusions;
9. Able to conduct data science project flow to solve real business and industry problems;
10. Able to construct software by implementing mathematical models;
11. Able to apply interdisciplinary knowledge and skills in developing alternative solutions for problem-solving.

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Prospective Career of the Graduates

The graduates of the double study program Mathematics and Computer Science can follow careers in:

1. Specialist in specific kinds of data, such as natural language text, image data, geographic data, sensor data, networked data
2. Designer of smart devices or smart services
3. Designer of data science algorithms
4. Multi-disciplinary researcher or educator
5. Data Scientist or business analyst

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Course Structure for Binusian 2025

Sem	Code	Course Name	SCU	Total
1	CHAR6013016	Character Building: Pancasila	2	20
	COMP6047016	Algorithm and Programming**	4/2
	MATH6031016	Calculus	4
	MATH6025016	Discrete Mathematics*	4
	STAT6152016	Introduction to Data Science**	2
	COMP6798016	Program Design Methods*	2
2	CHAR6014016	Character Building: Kewarganegaraan	2	20
	COMP6048016	Data Structures*&**	4/2
	MATH6189016	Advanced Calculus I*	4
	MATH6030016	Linear Algebra*&**	2
	STAT6171016	Basic Statistics	2
	LANG6027016	Indonesian	2
	ENTR6509001	Entrepreneurship: Ideation	2
3	MATH6183016	Scientific Computing	2/1	24
	COMP6708016	Object Oriented Programming	2/2
	MATH6190016	Advanced Calculus II*	4
	MATH6144016	Advanced Linear Algebra*	2
	MATH6008016	Mathematical Statistics I	4
	SCIE6063016	Computational Physics	2/1
	STAT6157016	Data Mining and Visualization*	2
	English University Courses
	ENGL6129016	English Savvy	2
	ENGL6131016	English for Written Business Communication	2
4	CHAR6015016	Character Building: Agama	2	24
	CPEN6247016	Computer Networks	2/1
	COMP6799016	Database Technology**	2/1
	MATH6146016	Complex Variable Function*&**	2
	MATH6186016	Mathematical Statistics II	4
	COMP6065016	Artificial Intelligence**	4
	MATH6187016	Machine Learning*&**	2/1
	SCIE6062016	Computational Biology	2/1
5	COMP6737016	Geographical Information System*	2	24
	COMP6800016	Human and Computer Interaction**	2/1
	COMP6049016	Algorithm Design and Analysis*	4
	COMP6051016	Web Programming	2/1
	MATH6188016	Differential Equations*&**	4
	MATH6064016	Applied Projective Geometry	2
	MATH6165016	Deep Learning and Optimization Methods*&**	4
	STAT6158016	Data Management and Organization*	2
6	MATH6021016	Real Analysis*	4	22
	COMP6697016	Operating System	2
	MATH6151016	Computational Geometry	2
	COMP6100016	Software Engineering**	4
	MATH6178016	Text Mining	2
	MATH6018016	Modern Algebra*&**	4
	MATH6069016	Applied Mathematical Modeling*	2
	STAT6159016	Big Data Infrastructure and Technology*	2
7	ENTR6511001	Entrepreneurship: Market Validation	2	22
	COMP6062016	Compilation Techniques	4
	COMP6696016	Research Methodology in Computer Science*	2
	MATH6168016	Computer Vision	2/2
	MATH6169016	Speech and Audio Processing	2/2
	MATH6166016	Data Security**	2
	Free Electives		4
8	Enrichment Program		20	20
9	MATH6179016	Pre-Thesis	2	6
	MATH6180016	Thesis	4
	MATH6091016	Thesis	6
Total Credits 182 SCU

  *) This course is delivered in English **)  Global Learning Systems Course Free Electives: -)For Free Electives, students are required to choose from the list of Free Electives in Appendix. 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^th and/or 7^th semester by the students who meet the requirements from the Study Program/Program Appendix: Free Electives (7^th Semester) Because free electives will be implemented on the 7^th semester, data will be collected from Curriculum 2022 Enrichment Program (8^th Semester): -) Student will take one of enrichment program tracks (off campus). See enrichment appendix for the tracks detail. Enrichment Track Scheme

Track	Semester 8
	IN	RS	EN	CD	SA	IS	etc
1	v
2		v
3			v
4				v
5					v
6						v

Notes:

IN            : Certified Internship RS          : Certified Research EN          : Certified Entrepreneurship CD          : Certified Community Development

SA           : Certified Study Abroad IS            : Certified Specific Independent Study etc           : Study Program Special Purposes

Enrichment (9th Semester): -) Student will take one of enrichment program tracks (off campus). See enrichment appendix for the tracks detail.

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Prerequisites for Binusian 2025

There is no prerequisite for this program

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Quality Controlled Courses for Binusian 2025

Student should pass all of these quality controlled courses as listed below:

No	Course Code	Course Name	Minimal Grade
1.	CHAR6013016	Character Building: Pancasila	B
2.	ENTR6511001	Entrepreneurship: Market Validation	C
3.	COMP6047016	Algorithm and Programming*	C
4.	COMP6048016	Data Structures*	C
5.	COMP6798016	Program Design Methods*	C
6.	COMP6100016	Software Engineering*	C
7.	COMP6799016	Database Technology	C
8.	COMP6697016	Operating System	C
9.	MATH6183016	Scientific Computing*	C
10.	MATH6190016	Advanced Calculus II*	C
11.	MATH6188016	Differential Equations*	C
12.	MATH6018016	Modern Algebra	C
13.	STAT6157016	Data Mining and Visualization	C
14.	MATH6187016	Machine Learning	C

*) Tutorial & Multipaper

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