College of Science & Technology · RUB

Bachelor of Engineering in Information Technology

A rigorous four-year programme preparing graduates to design, secure, and manage world-class technology systems for Bhutan and beyond.

4 YrsFull-Time
480Credits
2010Est.
2024Revised
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About the Programme
The BE in Information Technology is one of Bhutan's most comprehensive engineering programmes, equipping graduates with deep technical expertise and the professional skills needed to lead innovation in the digital economy.

Offered by the College of Science and Technology under the Royal University of Bhutan, the programme was validated in May 2010 and comprehensively revised in June 2024 to reflect the latest advancements in technology and industry needs.

The curriculum is built on five integrated knowledge pillars, providing a holistic education from computing fundamentals to advanced AI, cybersecurity, and industry research — all underpinned by entrepreneurship and professional ethics.

Programming Networking & Sysadmin Cryptography & Security Databases, AI & ML HCI, Mobile & Web Entrepreneurship
Key Programme Features

Industry Research Project

A 48-credit final-year project in collaboration with a real organisation, producing scientific-grade engineering solutions.

AI & Data Science Core

Artificial Intelligence, Machine Learning, and Data Analytics are embedded in the core curriculum from Year 2 onwards.

Multi-Layer Cybersecurity

Cryptology, Information Security, CI/CD security, and a dedicated Network Security elective provide comprehensive coverage.

Self-Directed Learning

ONL401 (12 credits) formally credits industry certifications and online courses, fostering lifelong learning.

Graduate Learning Outcomes
  • Apply computing, science, and mathematics principles to solve complex IT engineering problems.
  • Analyse problems, identify computing requirements, and apply computational approaches.
  • Design, implement, and evaluate computing-based systems to meet specified requirements.
  • Use appropriate and emerging technologies to improve system performance.
  • Perform system integration and API-based architecture development.
  • Demonstrate understanding of network security and develop proficiency in system defence.
  • Develop and conduct experimentation, analyse data, and draw engineering conclusions.
  • Appraise innovative ML and data analytics solutions for real-life problems.
  • Recognise ethical and professional responsibilities in IT within global contexts.
  • Apply entrepreneurial knowledge to explore tech-based business opportunities.
  • Collaborate in multi-disciplinary groups to address technology-related challenges.
  • Communicate technical information effectively to diverse audiences.
  • Evaluate project requirements and risks to develop an effective project plan.
Career Pathways
IT Engineer Network Administrator System Administrator Web Application Developer Mobile App Developer Machine Learning Engineer Information Security Analyst Data Analyst IoT Engineer IT Project Manager Database Administrator Technical Startup Founder
Programme Structure
The programme spans 8 semesters over 4 years, totalling 480 credits. Each academic year carries 120 credits of notional student effort.
MAT101Calculus and Infinite Series
CTE205Operating Systems
DZG101Dzongkha Communication
CPL101Introduction to Programming
ECD202Digital Electronics & Logic Design
CPL102Object-Oriented Programming
PHY101Engineering Physics – I
MAT110Discrete Mathematics
DIS101Database Systems
ACS101Academic Skills
CTE201Computer Organization & Architecture
CTE202Data Structures & Algorithms
MAT205Statistics & Theory of Probability
NWC201Computer Communication Networks
CTE203Human-Computer Interaction
CTE204Web Application Development
MAT206Computational Mathematics
CTE206Software Engineering
CTE207Artificial Intelligence
NWC202Introduction to the IoT
ITM301Professionalism & Ethics in IT
CTE308Mobile Application Development
CTE309Machine Learning
PRW301Introduction to Research
ITM302System Administration
DIS302Data Analytics
DIS303Cryptology
ITM304IT Project Management
EDP101Entrepreneurship
Elective I Specialisation Track
DIS404Advanced Database Systems
DIS405Information Security
CTE412Integrated Systems Technology
IRP401Industry Research Project Proposal
Elective II Specialisation Track
IRP402Industry Research Project 48 Credits
ONL401Online Courses — Self-Directed Learning 12 Credits
Credit Summary
480
Total Credits
4800
Notional Hours
2535
Contact Hours
120
Credits Per Year
Elective Modules
Students choose one elective in Year 3 Semester II and one in Year 4 Semester I, enabling focused specialisation in networking, AI/ML, or security.
Elective I — Year 3, Sem II
NWC303Advanced Routing
CTE310Natural Language Processing
CTE311Digital Image Processing
Elective II — Year 4, Sem I
NWC404Network Security
ITM403Advanced System Administration
DIS406Blockchain Technology
Module Descriptions
CodeModuleDescription
NWC303Advanced RoutingOSPF, EIGRP, BGP, route redistribution, and scalable internetwork design including single & multi-area configurations.
CTE310Natural Language ProcessingText preprocessing, word embeddings, POS tagging, NER, text classification, deep learning for NLP, and LLM trends.
CTE311Digital Image ProcessingSpatial & frequency domain filtering, image enhancement, restoration, morphological processing, and segmentation.
NWC404Network SecurityKerberos, TLS, wireless security, PGP email security, IPSec, intrusion detection, malware, and firewalls.
ITM403Advanced System AdministrationAnsible automation, virtualisation, Docker/Podman, container image management, and Kubernetes orchestration.
DIS406Blockchain TechnologyBlockchain architecture, P2P networks, PoW/PoS consensus, smart contracts, and Ethereum/Hyperledger frameworks.
Entry Requirements
Minimum Eligibility
RequirementDetails
QualificationBhutan Higher Secondary Education Certificate (BHSEC) or equivalent
MathematicsMinimum 50% in Mathematics or Business Mathematics (Ability Rating 5)
EnglishMinimum 50% (Ability Rating 5)
DzongkhaPass in Class XII or Class X
Other SubjectsAny three subjects (Ability Rating 1)
Additional Conditions
  • Applicants without Dzongkha in Class XII must have passed it in Class X. A proficiency test may be administered, with marks scaled to 40% for merit ranking.
Assessment & Progression
  • Attendance: Minimum 90% contact hours required per module.
  • Pass mark: 50% overall; minimum 40% each in Continuous Assessment and Semester-End Examination.
  • Re-assessment: Permitted once per module if fewer than 30% of semester modules are failed.
  • Repeat modules: Available for failed modules within the normal registration period.
Research & Industry Projects
The programme integrates formal research training from Year 3, culminating in a 48-credit Industry Research Project in Year 4 executed in collaboration with a real organisation.
Year 3 Sem I · PRW301

Introduction to Research

Students learn research principles, proposal writing, methodology selection, literature review, data collection and analysis, and scientific report writing — building the foundation for the final-year project.

Year 4 Sem I · IRP401

Industry Research Project Proposal

Students conduct a literature review, identify a real-life IT engineering problem in partnership with an industry organisation, and formulate a detailed project proposal with a functional prototype plan.

Year 4 Sem II · IRP402 · 48 Credits

Industry Research Project — Graduation Capstone

The culminating project executed in collaboration with an industry partner. Students develop, test, and deliver a full engineering solution, maintain documentation, and produce written reports or scientific papers.

Year 4 Sem II · ONL401 · 12 Credits

Online Courses — Self-Directed Learning

Students select industry-relevant online courses to deepen technical expertise or develop soft skills, building a professional network aligned with their career aspirations.

Support & Resources
SupervisionAcademic & Industry supervisors
DurationFull Year 4 engagement
Research PrepYear 3 Sem I — PRW301
Industry LinkReal organisation collaboration required
Programme Highlights

Established with Continuous Improvement

Validated in May 2010 and comprehensively revised in June 2024, ensuring alignment with global IT standards and evolving industry demands.

Five Integrated Knowledge Pillars

Programming, Networking & Sysadmin, Cryptography & Security, Databases/AI/ML, and HCI/Mobile/Web provide a holistic and industry-ready foundation.

AI, ML & Data Science Embedded

Artificial Intelligence (Year 2), Machine Learning (Year 3), Data Analytics (Year 3), and NLP/Image Processing electives for the data-driven economy.

Security-Integrated Curriculum

Cryptology, Information Security, CI/CD security (CTE412), and a Network Security elective deliver multi-layered cybersecurity coverage.

Industry-Partnered Final Year

The 48-credit Industry Research Project requires real-world collaboration, bridging academic learning and professional engineering practice.

Entrepreneurship & Professional Ethics

EDP101 and ITM301 prepare graduates for business, IP law, and responsible AI use in Bhutan and globally.

Self-Directed Online Learning

ONL401 (12 credits) formally credits industry certifications, fostering lifelong learning and adaptability.