Bachelor's
Bachelor in Data Science (BDS) in Nepal – Tribhuvan University (TU)
The Bachelor in Data Science (BDS) in Nepal is an undergraduate degree offered by Tribhuvan University (TU) through its Institute of Science and Technology (IoST). The program focuses on programming, statistics, data analytics, artificial intelligence, and machine learning. It provides students in Nepal with an opportunity to develop technical and analytical skills for careers in data science, software development, AI, and related technology fields.
ScienceTribhuvan UniversityFull time
Eligibility and requirements
- Minimum qualification
- 10+2 or equivalent
- Minimum GPA
- 1.8 on a 4.0 scale
- Worth knowing
- 10+2 or equivalent: Passed from any stream, including Science, Management, Education, or Humanities, with a minimum final CGPA of 1.8.
- Alternative qualifications: PCL with at least second division, A-Level with a minimum D grade, or a three-year CTEVT diploma with at least second division.
- Entrance examination: Must meet TU's entrance and admission selection requirements.
- Foreign qualifications: An equivalency certificate is required where applicable.
Outcomes and careers
You will be able to
- Develop programming and computational skills for data analysis and problem-solving.
- Apply mathematics, probability, and statistics to interpret complex datasets.
- Collect, clean, process, and visualize structured and unstructured data.
- Design and implement machine learning models and AI-based solutions.
- Manage databases and analyze large datasets using modern data technologies.
- Identify patterns, trends, and insights to support data-driven decision-making.
- Apply data science techniques to real-world problems across industries in Nepal and internationally.
- Conduct research and develop practical projects using data science tools and methodologies.
- Communicate analytical findings effectively and work collaboratively on technical projects.
- Build a foundation for careers in data science, AI, machine learning, data engineering, and advanced computing studies.
Common career paths
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Business Intelligence Analyst
- Python Developer
- Database Developer
- Statistical Analyst
- Big Data Engineer
- NLP Engineer
- Computer Vision Engineer
- Research Assistant
- Data Science Consultant
- AI and Data Science Entrepreneur