2022 BSCS (653)


2022 Curriculum (for 653 - 66x)

Undergraduates will find that our BSCS program emphasizes on developing the practicality of the knowledge to real-world use. Students learn not only the fundamentals of computer science, but also vigorously on how the knowledge can be applied. Classrooms, learning facilities, and research labs collaborate hand-in-hand to make this happen, as you will find that students learn not only inside the classroom. CS faculty members maintain an extensive technology network in industrial partners so that “real-world” practices are truly real-world and bring out the most optimal benefits for the students.
First, our candidates begin with the masteries of computer programming and the essences of computer science. Then, whether their interest is in creating software innovations, getting a software engineering career in big tech companies, or furthering their study in postgraduate levels, students can select to pursue their track of elective courses that fits their needs, spending their senior year working on real-world projects or software innovations.

Software Engineering and Development

A track for software engineers, from software developers to software process management, whose aim is to develop the skills to further their career path in the software development industry. Candidates following this track focus on every aspects of software engineering, including software process and management, software development, and application platforms and architectures.

Informatics and Data Science​

Recommended for researchers and innovators, our Informatics and Data Science track takes students on the road towards becoming true experts in information technology. Built on solid IT fundamentals, candidates can select to specialize in the field of modern computing technologies, such as ambient intelligence, computer vision, and big data analytics.

Curriculum Structure

Total number of credits: 132 Credits
  1. General Education Courses (30 Credits)
    1. Language Courses (14 Credits)
    2. Humanities Course (2 Credits)
    3. Social Science Courses (9 Credits)
    4. Science and Mathematics Courses (5 Credits)
  2. Specialized Courses (90 Credits)
    1. Core Courses (18 Credits)
    2. Major Courses (39 Credits)
    3. Major Elective Courses (33 Credits)
  3. Free Elective Courses (12 Credits)
General Education Courses
Language Courses (14 credits)
ELE 1001 Communicative English I (2-3-6)
ELE 1002 Communicative English II (2-3-6)
ELE 2000 Academic English (2-3-6)
ELE 2001 Advanced Academic English (2-3-6)
GE 1410 Thai for Professional Communication (2-0-4)
(for Thai students)
or GE 1411 Thai Language for Multicultural Communication (2-0-4)
(for non-Thai students)
or GE 1412 Introductory Thai Usage (2-0-4)
(for Thai students from International Program)
Humanities Course
GE 2110 Human Civilizations and Global Citizens (2-0-4)
Social Science Courses
BBA 1004 Essential Marketing for Entrepreneurs (2-0-4)
BBA 1005 Essential Finance for Entrepreneurs (2-0-4)
BBA 1006 Essential Economics for Entrepreneurs (2-0-4)
GE 2202 Ethics (3-0-6)

Science and Mathematics Courses
BBA 1007 Data Analytics for Entrepreneurs (2-2-5)
GE 1303 Science for Sustainable Future (2-0-4)

Specialized Courses

Core Courses
CSX 2003 Principles of Statistics (3-0-6)
CSX 2006 Mathematics and Statistics for Data Science (3-0-6)
CSX 2008 Mathematics Foundation for Computer Science (3-0-6)
ITX 2005 Design Thinking (3-0-6)
ITX 2007 Data Science (3-0-6)
ITX 3007 Software Engineering (3-0-6)

Major Courses
Organization Issues and Information Systems Group
ITX 3002 Introduction to Information Technology (3-0-6)

Applications Technology Group
CSX 3010 Senior Project I (0-9-0) (*)
CSX 3011 Senior Project II (0-9-0) (*)

Technology and Software Methods Group
CSX 3001 Fundamentals of Computer Programming (3-0-6) (*)
CSX 3002 Object-Oriented Concepts and Programming (3-0-6) (*)
CSX 3003 Data Structures and Algorithms (3-0-6) (*)
CSX 3004 Programming Languages (3-0-6) (*)
CSX 3009 Algorithm Design (3-0-6) (*)

Systems Infrastructure Group
CSX 2009 Cloud Computing (3-0-6)
CSX 3005 Computer Networks (3-0-6) (*)
CSX 3006 Database Systems (3-0-6) (*)
CSX 3008 Operating Systems (3-0-6) (*)

Hardware and Computer Architecture Group

CSX 3007 Computer Architecture (3-0-6) (*)

(Remark: * These are major required courses. At least C grades are required to pass the courses.)
Major Elective Courses
Major Elective Courses are divided into two groups:

   Major Elective Courses Group 1
     1(A): Software Engineering and Development (SED)
     1(B): Informatics and Data Science (IDS)
   Major Elective Courses Group 2
* Students are required to choose one concentration out of 2 concentrations and study 5 subjects (15 credits) from the chosen concentration and study 6 subjects (18 credits) from all major elective courses.

Major Elective Courses Group 1

Group 1(A): Software Engineering and Development
ITX 3004 Information System Analysis and Design (3-0-6)
ITX 4104 Software Testing (3-0-6)
CSX 4107 Web Application Development (3-0-6)
CSX 4109 Android Application Development (3-0-6)
CSX 4110 Backend Application Development (3-0-6)
CSX 4407 Enterprise Application Development (3-0-6)
CSX 4180-4199 Selected Topic [in Software Engineering] (3-0-6)

Group 1(B): Informatics and Data Science
CSX 4201 Artificial Intelligence Concepts (3-0-6)
CSX 4203 Machine Learning (3-0-6)
CSX 4207 Decision Support and Recommender Systems (3-0-6)
CSX 4210 Natural Language Processing and Social Interactions (3-0-6)
CSX 4211 Data Engineering (3-0-6)
CSX 4212 Data Analytics (3-0-6)
CSX 4213 Computer Vision (3-0-6)
CSX 4280-4299 Selected Topic [in Data Science] (3-0-6)

Major Elective Courses Group 2

CSX 4108 iOS Application Development (3-0-6)
CSX 4202 Data Mining (3-0-6)
CSX 4205 Big Data Analytics (3-0-6)
CSX 4206 Data Warehousing and Business Intelligence (3-0-6)
CSX 4208 Deep Learning (3-0-6)
CSX 4306 Internet of Things (3-0-6)
CSX 4501 Theory of Computation (3-0-6)
CSX 4510 Neural Networks (3-0-6)
CSX 4513 AR/VR Application Development (3-0-6)
CSX 4514 Cross-platform Application Development (3-0-6)
CSX 4515 Game Design and Development (3-0-6)
CSX 4516 Reusability and Design Patterns (3-0-6)
ITX 2004 UI/UX Design and Prototyping (3-0-6)
ITX 3003 Business Systems (3-0-6)
ITX 4212 Predictive Analytics (3-0-6)
ITX 4213 Artificial Intelligence for Business (3-0-6)
ITX 4502 Tech Startup (3-0-6)
ITX 4509 Cybersecurity (3-0-6)
ITX 4517 Software Configuration Management (3-0-6)
ITX 4518 Blockchain and Digital Currencies (3-0-6)
ITX 4519 Internetworking Workshop (3-0-6)
CSX 4600-4699 Selected Topics (3-0-6)

Free Elective Courses

Students can take free elective courses of 12 credits from any faculty in Assumption University upon completion of the prerequisite.

Other Computer Science Curricula