The M.Sc. in Informatics and Intelligent Systems Engineering at Thapathali Campus is a two-year postgraduate engineering program conducted through the Department of Electronics and Computer Engineering under the Institute of Engineering (IOE), Tribhuvan University. The program follows four semesters and has an intake of 20 students. Thapathali Campus conducts the program in the evening session.
The curriculum covers Numerical Analysis, Information Theory, Computational Intelligence, Computer Vision, Applied Machine Learning, Engineering Research and Optimization, four elective courses, project work, and a thesis. The semester credit distribution is 16, 16, 12, and 16 credits, giving the program 60 credits across four semesters.
Admission is open to candidates with specified four-year bachelor's degrees in Electronics, Computer, Software, or Information Technology engineering, or equivalent engineering qualifications from a recognized university. Admission and selection follow the postgraduate entrance and merit requirements prescribed by the Institute of Engineering.
| Particular | Details |
|---|---|
| Course | M.Sc. in Informatics and Intelligent Systems Engineering |
| Short Form | MSIISE |
| Level | Master's Degree |
| Institution | Thapathali Campus |
| Department | Department of Electronics and Computer Engineering |
| Institute | Institute of Engineering (IOE) |
| University | Tribhuvan University |
| Duration | 2 Years |
| Academic Structure | 4 Semesters |
| Total Credits | 60 |
| Intake | 20 Seats |
| Study Session | Evening |
| Degree-Awarding University | Tribhuvan University |
| Location | Thapathali, Kathmandu, Nepal |
M.Sc. in Informatics and Intelligent Systems Engineering is a multidisciplinary postgraduate program concerned with information processing and autonomous intelligent systems.
Its academic objectives include developing competence in information processing, designing computational methods for increasing volumes and complexity of data, building systems that use domain knowledge and data for computational reasoning, and strengthening analytical problem-solving ability.
The program combines mathematical and information-theory foundations with computational intelligence, visual-information processing, applied machine learning, research methods, optimization, electives, project work, and thesis research.
Thapathali Campus introduced the program in 2020 AD through the Department of Electronics and Computer Engineering and conducts it in the evening session.
Candidates must have a four-year bachelor's degree in one of the following areas:
Electronics Engineering
Computer Engineering
Software Engineering
Information Technology Engineering
A degree equivalent to these engineering branches from a recognized university is also accepted within the stated eligibility framework.
Applicants must have an undergraduate grade meeting the minimum prescribed by the Faculty Board of the Institute of Engineering and must secure the required minimum score in the IOE postgraduate entrance examination.
Admission follows the postgraduate entrance system of the Institute of Engineering.
Candidates must satisfy the academic eligibility requirements and qualify in the entrance examination. Selection is merit-based and uses the total marks obtained in the entrance examination.
Entrance requirements, academic thresholds, admission procedures, examinations, results, and degree completion remain governed by the applicable rules and regulations of the Institute of Engineering and Tribhuvan University.
The minimum full-time period for completing the program is two academic years. The maximum period allowed for completion follows the rules prescribed by the Faculty Board of the Institute of Engineering.
The curriculum is arranged as follows:
| Semester | Credits | Main Components |
|---|---|---|
| First Semester | 16 | Numerical Analysis, Information Theory, Computational Intelligence, Computer Vision |
| Second Semester | 16 | Applied Machine Learning, Engineering Research and Optimization, Elective I, Elective II |
| Third Semester | 12 | Project, Elective III, Elective IV |
| Fourth Semester | 16 | Thesis |
The first semester contains four compulsory subjects, each carrying four credits.
Numerical Analysis provides the mathematical and computational part of the first-semester foundation. Its position at the beginning of the program supports later analytical and computational work.
Information Theory addresses the formal study of information within the program's wider emphasis on information processing.
Computational Intelligence is one of the core first-semester courses and connects directly with the program's study of intelligent systems and computational reasoning.
Computer Vision is also a four-credit compulsory subject in the first semester and introduces visual-information processing within the program's intelligent-systems curriculum.
Together, these four subjects account for 16 credits in the first semester.
The second semester also carries 16 credits.
Students study:
Applied Machine Learning – 4 credits
Engineering Research and Optimization – 4 credits
Elective I – 4 credits
Elective II – 4 credits
Applied Machine Learning develops the program's computational study beyond the first-semester core.
Engineering Research and Optimization connects technical investigation with optimization-oriented engineering work and also prepares students for later project and thesis activity.
Two electives allow part of the second semester to be directed toward approved specialist study.
The third semester carries 12 credits and shifts more of the academic workload toward project and elective work.
It includes:
Project – 4 credits
Elective III – 4 credits
Elective IV – 4 credits
The project provides a structured postgraduate component in which students can work on a defined technical or research-oriented problem within the program's academic area.
The two additional electives extend specialist study before the thesis semester.
The fourth semester is devoted to a 16-credit thesis.
The thesis carries the largest individual credit allocation in the curriculum and forms the final research component of the master's program.
By this stage, students have completed the core subjects, four electives, Engineering Research and Optimization, and project work before moving into the thesis.
The course is built around several connected areas:
Information processing
Numerical and computational methods
Information theory
Computational intelligence
Visual-information processing
Applied machine learning
Engineering research
Optimization
Elective specialization
Project-based study
Thesis research
The curriculum therefore combines taught technical courses with a substantial research component during the later semesters.
The program is conducted through the Department of Electronics and Computer Engineering at Thapathali Campus.
The campus has computer laboratories as part of its wider engineering laboratory facilities. Its library contains 30,792 books, manuals, and copies of important documents and papers, alongside project and thesis resources used across academic programs.
These institutional facilities support coursework, project preparation, and postgraduate research within the campus environment.
Research becomes increasingly important after the taught-course stage.
Engineering Research and Optimization appears in the second semester. The third semester includes a four-credit Project, and the fourth semester consists of the 16-credit Thesis.
This progression gives students a defined path from taught analytical and computational subjects into project work and then extended postgraduate research.
The academic structure can support development in numerical analysis, information processing, computational reasoning, intelligent-system study, applied machine learning, research design, optimization, technical project work, and thesis-based investigation.
The program also requires students to work across mathematical, computational, research, and engineering contexts rather than concentrating on a single software or information-processing subject.
The level of competence developed depends on coursework, elective selection, project work, thesis research, and individual academic performance.
The curriculum is relevant to technical and research areas involving informatics, computational systems, information processing, intelligent systems, applied machine learning, and related engineering work.
Graduates may also continue toward research or higher academic study in areas aligned with their project, elective, and thesis work.
Career outcomes depend on prior engineering background, technical skills, research experience, specialization, employer requirements, and available positions.
It is a two-year postgraduate engineering program at Thapathali Campus under the Institute of Engineering, Tribhuvan University. Its curriculum combines information processing, computational intelligence, applied machine learning, research, optimization, electives, project work, and a thesis.
The minimum full-time duration is two academic years. The curriculum is divided into four semesters.
Thapathali Campus has 20 seats for M.Sc. in Informatics and Intelligent Systems Engineering.
The four semesters contain 16, 16, 12, and 16 credits respectively, totaling 60 credits.
Applicants need a four-year bachelor's degree in Electronics, Computer, Software, or Information Technology engineering from Tribhuvan University, or an equivalent engineering degree from a recognized university. They must also meet the undergraduate grade and entrance-score requirements prescribed by the IOE Faculty Board.
Yes. Applicants must meet the required postgraduate entrance score, and admission is based on merit determined from the entrance examination marks.
The first semester includes Numerical Analysis, Information Theory, Computational Intelligence, and Computer Vision. Each course carries four credits.
The second semester includes Applied Machine Learning, Engineering Research and Optimization, Elective I, and Elective II.
Yes. The third semester includes a four-credit Project together with Elective III and Elective IV.
Yes. The entire fourth semester consists of a 16-credit Thesis.
The program is conducted through the Department of Electronics and Computer Engineering at Thapathali Campus.
Yes. Thapathali Campus identifies M.Sc. in Informatics and Intelligent Systems Engineering as an evening-session postgraduate program.
Tribhuvan University is the degree-awarding university, while the program operates academically through the Institute of Engineering.
