The Bachelor in Data Science (BDS) is a four-year, eight-semester undergraduate degree program offered by the Institute of Science and Technology (IOST), Tribhuvan University (TU). As one of Nepal's emerging technology-focused undergraduate programs, the BDS program is designed to equip students with the knowledge and practical skills needed to analyze, interpret, and manage data in today's data-driven world.
The Bachelor of Data Science (BDS) integrates Mathematics, Statistics, Computer Science, Artificial Intelligence (AI), Machine Learning (ML), Data Analytics, Big Data Technologies, and Information Technology into a comprehensive curriculum. Students learn how to collect, process, visualize, and interpret complex datasets to support evidence-based decision-making across industries.
The BDS course in Nepal emphasizes both theoretical foundations and hands-on learning. Throughout the program, students engage in practical laboratory work, programming assignments, real-world data analysis projects, seminars, research activities, and internship experiences that prepare them for professional careers in data science and analytics.
With the growing demand for data professionals in sectors such as finance, healthcare, e-commerce, telecommunications, government, research, manufacturing, and information technology, the Bachelor of Data Science (BDS) has become one of the most promising undergraduate programs for students interested in emerging technologies. Graduates develop expertise in statistical modeling, predictive analytics, data visualization, artificial intelligence, machine learning, database management, cloud computing, and big data processing.
Whether students aspire to become Data Scientists, Data Analysts, Machine Learning Engineers, AI Specialists, Business Intelligence Analysts, Data Engineers, Research Analysts, or Analytics Consultants, the Bachelor of Data Science (BDS) provides a strong academic foundation along with industry-relevant technical skills. The program also prepares graduates for higher studies in Data Science, Artificial Intelligence, Computer Science, Statistics, Analytics, and related disciplines in Nepal and abroad.
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Bachelor in Data Science in Nepal
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Institutions offering BDS
The Bachelor in Data Science (BDS) is a four-year, eight-semester interdisciplinary undergraduate program offered by the School of Mathematical Sciences, Institute of Science and Technology (IoST), Tribhuvan University (TU). Introduced in 2024, the Bachelor of Data Science program was developed to address the increasing demand for skilled data professionals capable of transforming raw data into meaningful insights for informed decision-making.
As one of the emerging Data Science courses in Nepal, the BDS program combines Mathematics, Statistics, Computer Science, Information Technology, Artificial Intelligence (AI), Machine Learning (ML), Data Analytics, Big Data Technologies, Cloud Computing, Database Management, Natural Language Processing (NLP), and Data Visualization into a comprehensive curriculum. The program enables students to build a strong foundation in computational thinking, statistical modeling, programming, and intelligent data analysis while solving real-world problems using modern technologies.
The Bachelor in Data Science (BDS) emphasizes experiential learning through laboratory work, programming assignments, case studies, research projects, seminars, industrial internships, and collaborative learning. Students develop practical expertise in collecting, processing, analyzing, interpreting, and visualizing complex datasets while understanding the ethical, legal, and professional responsibilities associated with data science and artificial intelligence.
With organizations across finance, banking, healthcare, government, e-commerce, telecommunications, manufacturing, education, research, and information technology increasingly adopting data-driven strategies, the demand for qualified Data Scientists and analytics professionals continues to rise. The Bachelor of Data Science prepares graduates to design predictive models, develop intelligent applications, support business intelligence, automate decision-making processes, and generate actionable insights that drive organizational growth and innovation.
Graduates of the BDS program in Nepal are well prepared for careers as Data Scientists, Data Analysts, Machine Learning Engineers, AI Engineers, Data Engineers, Business Intelligence Analysts, Business Analysts, Research Analysts, Data Architects, Analytics Consultants, Software Engineers, and other data-centric professionals. The program also provides an excellent academic foundation for higher studies and research in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Statistics, Business Analytics, and related disciplines in Nepal and abroad.
Objectives
Upon successful completion of the Bachelor in Data Science (BDS) program, graduates will be able to:
- Develop a strong foundation in Mathematics, Statistics, Computer Science, and Information Technology for solving complex data-driven problems.
- Apply statistical modeling, programming, machine learning, artificial intelligence, and data analytics techniques to analyze and interpret large datasets.
- Design, develop, and implement efficient data-driven solutions for real-world challenges across diverse industries.
- Build professional competencies in database management, big data analytics, cloud computing, data visualization, predictive analytics, and business intelligence.
- Support evidence-based decision-making through data analysis, visualization, and intelligent information systems.
- Demonstrate ethical, professional, and responsible use of data and artificial intelligence technologies.
- Pursue rewarding careers in Data Science, Artificial Intelligence, Machine Learning, Business Analytics, Software Engineering, Data Engineering, Research, and related fields.
- Continue higher studies and research in Data Science, AI, Applied Computer Science, Statistics, Business Analytics, and emerging computational disciplines.
Eligibility
Students seeking admission to the Bachelor in Data Science (BDS) program at Tribhuvan University (TU) must meet the eligibility criteria prescribed by the Institute of Science and Technology (IoST).
Applicants must have:
- Completed 10+2 or an equivalent qualification from a recognized board or institution in any stream.
- Secured at least Second Division (45%) or obtained a minimum 'C' grade in all subjects of Grades 11 and 12.
Meeting the minimum eligibility requirements does not guarantee admission. Eligible candidates must also fulfill the Bachelor in Data Science (BDS) admission requirements, including any entrance examination and selection procedures prescribed by the Institute of Science and Technology (IoST), Tribhuvan University.
Curricular Structure
The Bachelor in Data Science (BDS) is a full-time, four-year undergraduate program spread across eight semesters. Offered by the Institute of Science and Technology (IoST), Tribhuvan University (TU), the BDS curriculum is designed to provide students with a strong foundation in Mathematics, Statistics, Computer Science, and Information Technology, while developing advanced skills in modern Data Science and Artificial Intelligence.
The Bachelor of Data Science (BDS) curriculum covers a wide range of industry-relevant subjects, including Algorithms, Data Structures, Statistical Computing, Computer Programming, Statistical Programming, Database Systems, Data Analysis, Machine Learning, Artificial Intelligence, Web Development, Data Visualization, Big Data Technologies, and other core Data Science disciplines. The program combines theoretical knowledge with practical learning to prepare graduates for successful careers in data-driven industries.
Total Credit Hours: 121 Credit Hours
Nature of Courses: Theoretical, Practical, Project Work, Seminar, and Internship.
First Semester
| Course Code | Course Title | Credit |
| BDS 101 | Introduction to Data Science | 3 |
| BDS 102 | Basic Computer Organization | 3 |
| BDS 103 | Programming in C | 3 |
| BDS 104 | Statistics for Data Science | 3 |
| BDS 105 | Calculus I | 3 |
| Total | 15 |
Second Semester
| Course Code | Course Title | Credit |
| BDS 151 | Python Programming | 2 |
| BDS 152 | Database Management System | 3 |
| BDS 153 | Probability Distribution | 3 |
| BDS 154 | Calculus II | 3 |
| BDS 155 | Linear Algebra | 3 |
| Total | 15 |
Third Semester
| Course Code | Course Title | Credit |
| BDS 201 | Data Structure and Algorithm | 3 |
| BDS 202 | Operating System | 3 |
| BDS 203 | R Programming | 3 |
| BDS 204 | Inferential Statistics | 3 |
| BDS 205 | Differential Equations | 3 |
| BDS 206 | Seminar | 1 |
| Total | 16 |
Fourth Semester
| Course Code | Course Title | Credit |
| BDS 251 | Artificial Intelligence | 3 |
| BDS 252 | Web Development | 3 |
| BDS 253 | Data Communications and Computer Networking | 3 |
| BDS 254 | Discrete Mathematics | 3 |
| BDS 255 | Technical Writing | 3 |
| Total | 15 |
Fifth Semester
| Course Code | Course Title | Credit |
| BDS 301 | Machine Learning | 3 |
| BDS 302 | Software Design and Development | 3 |
| BDS 303 | Data Visualization | 3 |
| BDS 304 | Numerical Methods | 3 |
| BDS 305 | Economics | 3 |
| BDS 306 | Project I | 2 |
| Total | 17 |
Sixth Semester
| Course Code | Course Title | Credit |
| BDS 351 | Data Warehousing and Data Mining | 3 |
| BDS 352 | Artificial Neural Network | 3 |
| BDS 353 | Computer Graphics and Image Processing | 3 |
| BDS 354 | Research Methodology | 3 |
| BDS 355 | Principles of Management | 3 |
| Total | 15 |
Seventh Semester
| Course Code | Course Title | Credit |
| BDS 401 | Object-Relational and NoSQL Database | 3 |
| BDS 402 | Simulation and Modeling | 3 |
| BDS 403 | Data Security | 3 |
| BDS 404 | Project II | 3 |
| Elective I (Choose Any One) | ||
| BDS 421 | Cloud Computing | 3 |
| BDS 422 | Deep Learning | 3 |
| BDS 423 | Mobile Application Development | 3 |
| BDS 424 | Blockchain Technology | 3 |
| BDS 425 | Exploratory Data Analysis | 3 |
| Total | 15 | |
Eighth Semester
| Course Code | Course Title | Credit |
| BDS 451 | Information Retrieval | 3 |
| BDS 452 | Big Data Analytics with Hadoop | 3 |
| BDS 453 | Natural Language Processing | 3 |
| BDS 454 | Internship | 3 |
| Elective II (Choose Any One) | ||
| BDS 471 | Social Network Analysis | 3 |
| BDS 472 | Forecasting Analysis | 3 |
| BDS 473 | Digital Marketing | 3 |
| BDS 474 | Business Intelligence | 3 |
| BDS 475 | Internet of Things | 3 |
| Total | 15 | |