School of Information Technology and Innovation

As technology keeps evolving across websites, social media, and digital platforms, the expertise of computer system developers, programmers, and database experts remains crucial in driving this ongoing evolution.

At the School of Information Technology and Innovation, the Computer Science program prioritizes a contemporary curriculum that seamlessly integrates creativity with computer science. The curriculum is inspired by leading organizations in the field of computer science and information technology, such as IEEE and ACM. This ensures students acquire the in-demand skills and expertise sought by the job market.

In addition to learning and collaborating with real-world partners in IT companies and renowned universities both locally and globally, we actively encourage students to design and develop their projects, preparing them for participation in diverse competitions. Furthermore, we provide support to students in acquiring valuable experiences through exchange programs at Ryukoku University in Japan and by offering scholarship opportunities to pursue a Master's degree at Ritsumeikan University. These experiences enhance students' chances of obtaining internationally recognized professional certifications such as ITPE, Google, Java SE, Oracle, SAP Certificate, which serve as valuable assets for securing future employment with leading companies upon graduation

Unlock your potential in the dynamic world of technology! Become a Software Engineer, Developer, Data Engineer, Programmer, Full Stack Developer, Mobile Application Developer, or Website Designer through our program! A rewarding career awaits!

Go beyond IT by learning how to apply AI to develop systems, innovations, and digital solutions that address real business needs. The program covers information technology, applied artificial intelligence, data analytics, software development, automation, and business analysis.

Students will gain hands-on experience in AI-assisted software development, data-driven solutions, and automated systems, while learning how to transform ideas into practical innovations and digital products. Through industry projects and real-world challenges, they will develop a well-rounded understanding of technology, business, and user needs—preparing them to thrive in the AI economy with a strong foundation in ethics and responsibility.

Why Study This Program?

Gain comprehensive skills in Applied AI, Data Analytics, Software Development, Automation, and Business Analysis.Use AI to develop software, improve business processes, and create practical innovations.Learn through hands-on projects that involve designing and building solutions with technologies currently used in the industry.Study with nationally recognized lecturers and experts in information technology.Work with industry partners and professionals who provide real business challenges, mentorship, and guidance.Develop opportunities to earn income while studying and turn innovative ideas into digital products or businesses.Understand Responsible AI, Data Governance, and the ethical use of technology.Access opportunities for international exchange programs, overseas internships, and KAIT research assistant scholarships.Receive support in preparing for internationally recognized certifications, including AWS, Google Cloud, and Microsoft Cloud Fundamentals, to validate your skills and enhance your career prospects.Take part in national projects, competitions, and showcases to build experience and strengthen your portfolio.Develop an entrepreneurial mindset and learn how to transform technology-driven ideas into market-ready products and digital ventures.

Create the next generation of interactive digital experiences through a program that brings together game development, AI, XR, immersive technology, spatial computing, technical art, and creative technology.

Students will develop a comprehensive skill set covering design, programming, digital art, and interactive experience development, while learning how to transform creative ideas into market-ready products. Through capstone projects, internships, and industry-based assignments, students will build a strong portfolio that demonstrates their capabilities across the gaming, technology, and digital industries.

Why Study This Program?

Design and produce games while expanding your skills into AI, XR, mixed reality, and interactive media technologies used across today’s industries.Complete the program in as little as 3.5 years.Gain comprehensive skills in Game Programming, Interactive Software Development, Technical Art, Digital Art, and User Experience Design.Explore emerging subjects such as Human–AI Interaction, Deep Generative Models, Agentic AI in Game Development, Extended Reality, and Spatial Computing.Follow a real-world production process, from developing prototypes to creating polished work ready for presentation and commercial release.Build a professional portfolio through hands-on projects, internships, and collaboration with industry partners.Learn how to create commercial value and develop your work into digital products, services, or business ventures.Gain opportunities to earn income while studying through internships and industry-based projects.Connect with an extensive network of partners across the gaming and interactive media industries.Learn with fully equipped classrooms, laboratories, software, and production tools.Take part in academic exchange and knowledge-sharing opportunities with Ritsumeikan University, Kanagawa Institute of Technology, and Ryukoku University.Learn from experienced faculty members and industry professionals, with guest speakers from leading companies sharing real-world knowledge and insights.Develop skills that respond to the growing demand for professionals in the gaming and interactive technology industries.Create fully functional games for multiple platforms and prepare your work for professional production and industry use.

Unlock your potential for challenges and problem-solving in our Computer Science program, specializing in Data Science and Cybersecurity. It's the perfect choice for those with a passion for innovation.

In the digital era, organizations depend on databases, creating a demand for skilled professionals in data management and system security. At Bangkok University's Computer Science program, we prioritize Data Science and Cybersecurity, taught by industry experts from T-Net and G-Able, and our experienced faculty. Learn data management, big data analytics, predictive modeling, and more.

Within our curriculum, we delve into system security, data protection, and fortifying against software or network breaches. This encompasses safeguarding organizational secrets, websites, applications, personal information, financial data, and beyond. Topics span from coding and networking to system administration, cloud security, and intrusion detection. Hands-on experience with business solutions and data enables students to elevate their expertise, paving the way for promising career opportunities upon graduation.

We also collaborate with DE2 Solution to support students in obtaining professional certifications (CompTIA & Pentest/Security+/Data Science Pathway Depa) and participate in cybersecurity competitions, offering opportunities to earn while learning.

Unlock an exciting array of career paths as Cybersecurity Specialists, Data Analysts, Data Scientists, Software Engineers, Software Developers, Data Engineers, Programmers, and Business Analysts.Embark on an exhilarating journey through the realms of data science and cyber security, where an exciting and promising future awaits!

Coding the Future. Shaping the World.

The Computer Science International Program at Bangkok University is designed for students who want to become future technology leaders. This intensive 3-year program combines AI-first education, hands-on project-based learning, and strong industry integration to prepare students for careers in the rapidly evolving digital world.

Why Choose This Program?

AI-first and future-focused curriculum100% project-based learningIndustry-led learning with real technology expertsCareer pathway development from Year 1Portfolio-based graduation advantageInternational and interdisciplinary learning environment

Concentration Tracks

Students can specialize in:

AI & Machine LearningCybersecurity & Information AssuranceData Science & AnalyticsComputing & Business Innovation

What You Will Learn

Students develop strong technical and problem-solving skills through practical learning in:

Artificial Intelligence & Machine LearningSoftware EngineeringCloud Computing & DevOpsCybersecurity & Ethical HackingData Science & Predictive AnalyticsFull Stack DevelopmentTechnology Entrepreneurship

Industry & Global Opportunities

Students work closely with leading technology companies and industry partners including:

GoogleMicrosoftAWSAlibaba CloudHuaweiIntelAccentureDeloitte

Capstone and industry projects are conducted with companies such as Garena, Botnoi Group, Lazada, True, and Huawei ICT Academy.

The program also offers global opportunities through collaborations with:

University of Surrey (UK)Macquarie University (Australia)Singapore Institute of TechnologyShanghai Jiao Tong UniversityVIT University (India)

Advanced Learning Facilities

Students gain hands-on experience through specialized laboratories including:

AI & Machine Learning LabCybersecurity & Cloud Computing LabData Science & Analytics LabFull Stack Development Lab

Career Opportunities

Graduates may pursue careers such as:

AI EngineerSoftware DeveloperData ScientistCybersecurity SpecialistCloud EngineerBusiness AnalystMachine Learning EngineerTechnology Consultant

Why Study at Bangkok University?

Bangkok University emphasizes practical learning, creativity, and industry collaboration. Students graduate not only with academic knowledge, but also with real-world portfolios and hands-on experience that enhance employability in the global technology industry.

Duration of the program: 2 years (4 academic semesters, no summer semester)

Number of credit units: 36 credit units (thesis only)

Courses to be registered (not counting credit units):

Research Methodology in Information Technology and Data ScienceSeminars in Information Technology and Data Science

Thesis Topics: Data Mining, Text Mining, Data Analytics, Cybersecurity, IoT Applications, Business Analytics, Social Network Monitoring and Listening, Games and Intelligent Interactive Technology, Natural Language Processing, Mobile Networking, Artificial Intelligence, Game Analytics, Peer to Peer Network and Applications, Health Informatics, and Other Related Topics.