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 data-driven innovation, the need for processing vast amounts of information is essential. The use of Artificial Intelligence (AI) will become the foundation for competition and growth in industry and business. AI serves as the secret ingredient here. It is a combination of various technological tools, statistics, and machine learning, designed to uncover hidden patterns from raw data. AI can boost productivity and generate significant value for the global economy by enhancing product and service quality while reducing waste. Students will tackle complex data problems using their strong expertise in AI. They will employ the latest technologies to find solutions and draw conclusions. The program can be completed within 3.5-4 years. Additionally, to provide students with one year of work experience, there are opportunities for industrial internships, exciting 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

After finishing the program, the graduate of the Artifical Intelligence Program could follow a career as:
  1. Analyst
  2. Developer
  3. Entrepreneur
  4. Machine Learning Operations Engineer
  5. IT Consultant
  6. Project Manager
  7. AI Scientist

Course Structure for Binusian 2029

Course Structure
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
COMP6798001 Program Design Methods1 (AOL) 2
COSC6058001 Intelligent Automation 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
COMP6065001 Artificial Intelligence2 (AOL) 4
COMP6983001 Machine Learning 2
Foreign Language Courses
3 CHAR6015001 Character Building: Agama 2 19
LANG6027001 Indonesian 2
MATH6183001 Scientific Computing (AOL) 2/1
COMP6984001 Machine Learning Operations (AOL) 2/1
COSC6051001 Deep Learning (AOL) 2/1
SCIE6063001 Computational Physics (AOL) 2/1
COMP6799001 Database Technology2 (AOL) 2/1
Foreign Language Courses
4 COMP6049001 Algorithm Design and Analysis1 (AOL) 4 21
COMP6986001 Artificial Intelligence Solution (AOL) 2
COMP6800001 Human and Computer Interaction2 (AOL) 2/1
CPEN6247001 Computer Networks (AOL) 2/1
SCIE6062001 Computational Biology 2/1
COMP6965001 Applied Natural Language Processing1&2 2/1
COMP6966001 Applied Computer Vision1&2 2/1
Foreign Language Courses
5 ENPR6312001 Venture Creation 4 20
COMP6697001 Operating System (AOL) 2
COMP6062001 Compilation Techniques 2
COMP6696001 Research Methodology in Computer Science1 (AOL) 2
COMP6967001 Internet of Things and Robotics 2
COMP6100001 Software Engineering2 (AOL) 2/2
COMP6987001 Signal Processing 4
6 Enrichment Program I 20
7 Enrichment Program II 20
8 COMP6833001 Pre-Thesis 2 6
COMP6834001 Thesis 4
COMP6881001 Thesis 6

Total Credits 146 SCU
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
Notes: IN           : Internship RS          : Research EN          : Entrepreneurship CD          : Community Development SA           : Study Abroad FS           : Further Study IS            : Certified Specific Independent Study etc          : Study Program Special Purposes Description: Student will take one of enrichment program tracks
  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 COMP6047001 Algorithm and Programming* C
3 COMP6798001 Program Design Methods* C
4 COMP6048001 Data Structures* C
5 COMP6799001 Database Technology C
6 COMP6100001 Software Engineering* C
7 COMP6697001 Operating System C
8 ENPR6312001 Venture Creation C
*) Tutorial