The MSc in Computer Engineering Specialization in Data Science and Analytics is a two-year postgraduate program offered at Pulchowk Campus through the Department of Electronics and Computer Engineering under the Institute of Engineering (IOE), Tribhuvan University.
The program combines Computer Engineering with advanced study in Data Science and Analytics. Its academic orientation brings together statistics, operations research, computing, analytics, and business-related problem solving. Machine learning, big-data analysis, high-performance computing, business intelligence, and decision-support applications also form part of the program's broader academic direction.
The course runs for four semesters under the regular IOE master's degree framework. Admission is open to candidates with specified engineering backgrounds who must also appear in the applicable admission test.
| Field | Details |
|---|---|
| Course | MSc in Computer Engineering Specialization in Data Science and Analytics |
| Level | Master’s degree |
| Campus | Pulchowk Campus – Institute of Engineering |
| Department | Electronics and Computer Engineering |
| University | Tribhuvan University |
| Institute | Institute of Engineering (IOE) |
| Duration | 2 years |
| Academic structure | 4 semesters |
| Main academic areas | Data Science, Analytics, Computing, Statistics, Operations Research |
| Admission requirement | Eligible bachelor’s degree and admission test |
| Introduced at Pulchowk | 2020 (2076 B.S.) |
The program is structured as a Computer Engineering master's specialization in Data Science and Analytics.
Its academic approach combines several disciplines used in analytical problem solving. Rather than treating data analysis only as a programming activity, the program brings together computing, statistics, operations research, and business-oriented analytical thinking.
This multidisciplinary structure is intended to help students study how data can be examined, interpreted, and used in analytical and decision-support contexts.
At Pulchowk Campus – Institute of Engineering (IOE), the course is housed within the Department of Electronics and Computer Engineering. The program operates under the academic framework of Tribhuvan University.
Pulchowk Campus introduced MSc in Computer Engineering Specialization in Data Science and Analytics in 2020 (2076 B.S.).
The program expanded the postgraduate portfolio of the Department of Electronics and Computer Engineering, which already had master's-level study in Information and Communication Engineering and Computer System and Knowledge Engineering.
The department's current postgraduate environment also includes specialized study in Network and Cyber Security.
These are separate master's programs with different academic orientations.
The Department of Electronics and Computer Engineering supports undergraduate, postgraduate, and doctoral study at Pulchowk Campus.
Its academic structure includes bachelor's programs in Computer Engineering and Electronics, Communication and Information Engineering, master's programs in specialized electronics and computer engineering areas, and doctoral study in Electronics Engineering and Computer Engineering.
Data Science and Analytics therefore sits within a department whose wider academic work covers computing, electronics, communication, information systems, and related engineering research.
Duration: 2 years
The course is equivalent to four semesters under the regular IOE master's degree framework.
This provides students with a defined postgraduate study period for advanced coursework, analytical development, and research-oriented academic preparation.
The program should be considered a full master's-level Computer Engineering specialization rather than a short-term Data Science training course.
The course has four stated academic objectives.
It aims to:
These objectives show that the program combines technical knowledge with analytical reasoning, theoretical understanding, and research preparation.
The program's academic framework brings together several areas.
Computing forms one of the main foundations of the degree.
Because the program is a specialization within Computer Engineering, students approach Data Science and Analytics from a computing-oriented academic background rather than from a general management qualification.
Statistics is identified as one of the areas supporting the program's analytical approach.
Statistical understanding is relevant to interpreting data, examining patterns, assessing analytical results, and developing evidence-based conclusions.
Operations research forms another part of the program's multidisciplinary base.
Its inclusion connects analytics with mathematical and structured approaches to problem solving and decision support.
The program also relates analytics to business intelligence and decision-support problems.
The academic intention is to help students connect technical analysis with situations in which data must be interpreted and used to support decisions.
Data Science and Analytics in this program is presented as an interdisciplinary field.
The academic direction includes areas such as:
These areas describe the overall focus of the program rather than a semester-by-semester subject list.
The program emphasizes the integration of technical and analytical knowledge rather than approaching each area in isolation.
Machine learning is identified within the broader analytical environment of the course.
Its connection with statistics, computing, and analytics makes it part of the program's interdisciplinary approach to extracting useful information from data.
Students considering this program should therefore be prepared for postgraduate work requiring both computational thinking and quantitative reasoning.
Big-data analytics and high-performance computing are also represented in the program's academic orientation.
These areas relate to analytical problems involving large-scale datasets and substantial computational requirements.
Their inclusion places the program beyond basic data handling and connects it with more advanced forms of computational analysis.
The course connects Data Science and Analytics with business intelligence and decision support.
This part of the program emphasizes the use of analytical methods to identify and examine problems and support informed decision-making.
The focus does not make the degree a general business-management program. It remains an MSc in Computer Engineering with a specialization in Data Science and Analytics.
Eligibility: Candidates must hold a bachelor's degree in one of the following areas:
The eligibility requirement places the course within postgraduate engineering and computing education.
Applicants from other academic backgrounds should not assume eligibility unless their qualification is accepted as equivalent under the applicable admission rules.
Eligible candidates are required to appear in the admission test.
Admission operates within the postgraduate academic framework of the Institute of Engineering and Tribhuvan University.
The entrance requirement is therefore an additional part of the admission process beyond holding an eligible bachelor's qualification.
Research skill development is one of the stated objectives of the program.
Students are expected to develop the ability to investigate problems within Data Science and Analytics using a structured academic approach.
This research orientation distinguishes a master's program from shorter skills-based courses focused only on software tools or individual analytical techniques.
Students considering the degree should be prepared for postgraduate academic work that involves analytical reasoning, technical study, and research.
A central feature of the program is the integration of knowledge from more than one discipline.
The academic structure brings together:
This combination is intended to help students examine analytical problems from technical, quantitative, and decision-oriented perspectives.
The course therefore suits students interested in connecting computing knowledge with advanced analytical study rather than concentrating exclusively on conventional software or hardware engineering.
The Department of Electronics and Computer Engineering offers other postgraduate programs with different areas of specialization.
Students comparing programs may also review:
These courses should be treated as separate postgraduate pathways.
Data Science and Analytics is specifically oriented toward analytical computing, statistics, operations research, machine learning, business intelligence, and related research.
Based on the stated objectives and academic orientation of the course, students may develop abilities related to:
The level reached in each area depends on a student's coursework, academic performance, research activity, and individual engagement with the program.
The Department of Electronics and Computer Engineering also supports doctoral study in Computer Engineering.
Students completing the master's degree may consider further academic research if they satisfy the corresponding doctoral eligibility and admission requirements under Tribhuvan University and IOE.
Doctoral admission is a separate academic process and is not automatic after completion of the master's degree.
The program may be relevant to graduates from eligible engineering backgrounds who want postgraduate study combining Computer Engineering with Data Science and Analytics.
It may particularly fit students interested in:
Students should also be prepared for a two-year postgraduate commitment and for academic work that combines technical, mathematical, analytical, and research-oriented study.
The title is MSc in Computer Engineering Specialization in Data Science and Analytics.
The program runs for two years, equivalent to four semesters.
It is offered through the Department of Electronics and Computer Engineering at Pulchowk Campus.
The program operates under the Institute of Engineering, Tribhuvan University.
The program was introduced in 2020 (2076 B.S.).
Candidates need a bachelor's degree in Computer Engineering, Electronics and Communication Engineering, Software Engineering, Information Technology Engineering, or an accepted equivalent from a recognized institution.
Yes. Candidates seeking admission are required to appear in the admission test.
The program brings together Data Science and Analytics with computing, statistics, operations research, machine learning, big-data analysis, business intelligence, and research.
