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)
A World Class study program by providing excellent educational experiences in Computational Mathematics, Fostering and Empowering the Society in Serving and Building the Nation.
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;
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;
Able to develop mathematical models of problems and analyze their performance and draw contextual conclusions;
Able to conduct data science project flow to solve real business and industry problems;
Able to construct software by implementing mathematical models;
Able to apply interdisciplinary knowledge and skills in developing alternative solutions for problem-solving.
*) This course is delivered in English
**) Global Learning Systems CourseFree 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 6th and/or 7th semester by the students who meet the requirements from the Study Program/ProgramAppendix: Free Electives (7th Semester)
Because free electives will be implemented on the 7th semester, data will be collected from Curriculum 2022Enrichment Program (8th 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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