Computer Science – Applied Statistics
Vision
A World Class study program by providing excellent educational experiences in Statistical Computing, Fostering and Empowering the Society in Serving and Building the Nation.Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
Mission
The mission of Computer Science and Statistics Program is to contribute to the global community through the provision of world-class education by:- Educating students to effectively apply their educational experiences in Statistical Computing to solve real-world problems.
- Preparing our graduates to develop exemplary soft skills & technical skills required as ICT professionals, leaders and entrepreneurs in global market.
- Promoting high impact research that contributes to the nation.
- Fostering BINUSIAN as lifelong learners through self-enrichment.
- Empowering BINUSIAN to continuously improve society’s quality of life.
Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
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 level;
- Graduate will have ability to pursue higher degree of education.
Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
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
- Able to conduct data management, including data design and collection in the form of surveys and experiments, data organization, exploration, and analysis based on statistical methods, using statistical software.
- Able to solve estimation problems and hypothesis testing through data utilization and several methods of estimation and hypothesis testing.
- Able to conduct data science project flow to solve real business and industry problems
- Able to develop software by implementing statistical models.
- Able to apply interdisciplinary knowledge and skills in developing alternative solutions for problem-solving
Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
Prospective Career of the Graduates
The graduates of the double study program Statistics and Computer Science can follow careers in:- Business analyst, DSS Manager, or business strategist
- Actuary analyst, risk analyst, or quantitative credit analyst
- Strategy consultant or evaluator of company performance
- Data scientist, market researcher, or researcher of analysis techniques
- Database designer, database administrator, or system analyst
Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
Course Structure for Binusian 2027
Track | Semester 8 | ||||||
IN | RS | EN | CD | SA | IS | etc | |
1 | v | ||||||
2 | v | ||||||
3 | v | ||||||
4 | v | ||||||
5 | v | ||||||
6 | v |
Source : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
Prerequisites for Binusian 2027
There is no prerequisite for this programSource : BINUS UNIVERSITY OFFICIAL CURRICULUM SITE
Quality Controlled Courses for Binusian 2027
Student should pass all of these quality controlled courses as listed below:No | Course Code | Course Name | Minimal Grade |
1. | CHAR6013049 | Character Building: Pancasila | B |
2. | COMP6047049 | Algorithm and Programming* | C |
3. | COMP6798049 | Program Design Methods* | C |
4. | COMP6048049 | Data Structures* | C |
5. | STAT6185049 | Theory of Statistics I* | C |
6. | STAT6157049 | Data Mining and Visualization | C |
7. | MATH6187049 | Machine Learning | C |
8. | COMP6799049 | Database Technology | C |
9. | STAT6044049 | Categorical Data Analysis | C |
10. | STAT6048049 | Regression Analysis* | C |
11. | COMP6100049 | Software Engineering* | C |
12. | COMP6697049 | Operating System | C |
13. | STAT6053049 | Multivariate Statistics* | C |
14. | ENTR6511001 | Entrepreneurship: Market Validation | C |
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