Data Science is a field growing significantly across all industries, advancing with time and technology. The data science program has become a fundamental discipline in most universities as applied research in Statistics and Computer Science. Data Science experts are needed in most government agencies. Businesses depend on big data to better serve their customers, and Data Science careers are in high demand, and this trend will grow exponentially.
The Data Science program is a multi-disciplinary subject that uses Mathematics, Statistics, Computer Science and Information Technology to study and evaluate data. The key objective of Data Science is to extract valuable information for use in strategic decision-making, product development, trend analysis, and forecasting. Considering the importance and value of data science, the School of Mathematical Sciences, Institute of Science and Technology, Tribhuvan University, plans to run a Bachelor in Data Science (BDS) program.
The BDS curriculum is designed to provide the breadth and depth of knowledge needed for a successful career in data science. It emphasizes practical proficiency in applying the relevant skills through courses in statistical modeling, data management, machine learning, data visualization, and other related areas.
Objective
This is an interdisciplinary program. After graduation, the students will be able to
- Provide students with knowledge and skills in both computer science and statistical modeling for data-intensive problem-solving;
- Train students for careers with software engineering and machine learning skills to design and implement efficient, data-driven solutions to real-world problems; and
- • Prepare to proceed Master Level study in a wide range of Data Science, Applied Computer Science and Business.
Eligibility
The candidate applying for admission to the BDS program must have completed 10+2 or equivalent examinations from any stream (Science / Management / Education / Arts) with minimum second division (securing 45% and above) or Minimum 'C' grade in all subjects of grade 11 and 12 by taking at least one Mathematics or Business Mathematics of 100 marks or 5 Credit hrs.
Curricular Structure
BDS is a full-time program of eight Semesters in four years in duration. This program comprises foundational mathematics, Statistics, Computer Science, and technology courses, including algorithms, machine learning techniques, computer and statistical programming, data analysis, database systems, web development, and other data science-related subjects.
- Total Credit Hours: 121 Cr. Hrs
- Nature of Courses: Theoretical, Practical, Project, Seminar, Intern.
First Semester
Papers |
Credit |
BDS 101 Communication Practice |
3 |
BDS 102 Calculus with Analytic Geometry I |
3 |
BDS 103 Programming with C |
3 |
BDS 104 Statistics for Data Science |
3 |
BDS 105 Fundamentals of Data Science |
3 |
Total |
15 |
Second Semester
Papers |
Credit |
BDS 151 Technical Writing |
2 |
BDS 152 Calculus with Analytic Geometry II |
3 |
BDS 153 Programming with C++ |
3 |
BDS 154 Probability |
3 |
BDS 155 Linear Algebra with Applications |
3 |
BDS 156 Data Science Seminar I |
1 |
Total |
15 |
Third Semester
Papers |
Credit |
BDS 201 Multivariable Calculus |
3 |
BDS 202 Data Structure and Algorithm |
3 |
BDS 203 Inferential Statistics |
3 |
BDS 204 Database Management System |
3 |
BDS 205 Data Warehousing |
3 |
Total |
15 |
Fourth Semester
Papers |
Credit |
BDS 251 Differential Equations |
3 |
BDS 252 Programming with Python |
3 |
BDS 253 Mathematical Statistics |
3 |
BDS 254 System Analysis and Design |
3 |
BDS 255 General Logic |
3 |
BDS 256 Data Science Seminar II |
1 |
Total |
16 |
Fifth Semester
Papers |
Credit |
BDS 301 Discrete Mathematics |
3 |
BDS 302 Computer Graphics and Image Processing |
3 |
BDS 303 R- Programming |
3 |
BDS 304 Artificial Intelligence |
3 |
BDS 305 Economics |
3 |
Total |
15 |
Sixth Semester
Papers |
Credit |
BDS 351 Mathematical Modelling |
3 |
BDS 352 Machine Learning |
3 |
BDS 353 Research Methodology |
3 |
BDS 354 Principles of Management |
3 |
BDS 355 Numerical Methods |
3 |
Total |
15 |
Seventh Semester
Papers |
Credit |
BDS 401 Data Mining |
3 |
BDS 402 Data Visualization |
3 |
BDS 403 Cloud Computing |
3 |
BDS 404 Data Analytics Project |
4 |
BDS 405 Artificial Neural Network |
3 |
Total |
16 |
Eighth Semester
Papers |
Credit |
BDS 451 Natural Language Processing |
3 |
BDS 452 Information Security |
3 |
BDS 453 Big Data Analytics |
3 |
BDS 454 Data Science Internship |
4 |
Elective (Any One offered by the School) |
|
BDS 455 Social Network Analysis BDS 456 Information Retrieval BDS 457 Forecasting Analysis |
3 |
Total |
16 |