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To be eligible for admission, candidates must have completed a Bachelor’s Degree in Computer Engineering, Electronics and Communication Engineering, Software Engineering, Information Technology Engineering, or an equivalent qualification from a recognized institution. In addition, applicants are required to take an admission test as part of the selection process.
1st Year - 1st Semester
S. No. | Course Code | Course Title |
|---|---|---|
1 | CT803..... | Foundation of Data Science & Analytics |
2 | CT803..... | Distributed & Edge Computing |
3 | CT803..... | Machine Learning & Computational Intelligence |
4 | CT803..... | Big Data Analytics |
S. No. | Course Code | Course Title |
|---|---|---|
1 | CT853..... | Optimization Theory & Techniques |
2 | CT853..... | Information Visualization |
3 | --- | Elective-I |
4 | --- | Elective-II |
S. No. | Course Code | Course Title |
|---|---|---|
1 | --- | Elective-III |
2 | --- | Elective-IV |
3 | CT903..... | Project |
S. No. | Course Code | Course Title |
|---|---|---|
1 | CT953..... | Thesis |
Gain advanced knowledge of data science and analytics techniques
Apply machine learning and AI for data-driven solutions
Design and implement scalable data architectures
Use programming tools like Python, R, and SQL
Analyze big data using modern platforms and frameworks
Visualize data insights for effective decision-making
Integrate data science with computer engineering principles
Ensure data security, privacy, and ethical use
Conduct applied research in data analytics
Prepare for roles in tech, finance, healthcare, and research sectors
The MSc in Computer Engineering with a specialization in Data Science and Analytics is an interdisciplinary program offered by the Department of Electronics and Computer Engineering (DOECE). This program integrates strengths in statistics, operations research, computing, and business, combining academic knowledge with industry expertise from faculty and professionals in Nepal's IT sector.
By merging academic foundations with practical applications, graduates gain the ability to solve complex analytics problems using a unique blend of skills drawn from multiple disciplines.
With analytics now a critical part of business strategy, the demand for analytics-savvy professionals is rapidly increasing. This program prepares graduates to extract actionable insights from data and contribute to informed decision-making in various sectors.