Bachelor in Data Science | TU

Overview

For applied research in Statistics and Computer Science, Data Science has become one of the most significant curricula for universities across the world. Data Science is an interdisciplinary subject that merges the principles and practice of various fields, namely Mathematics, Statistics, Computer Science and Information Technology.
The field of Data Science is expanding with the growth of technology. With the increase in the data size and volume, various organisations need data experts to analyse large amounts of data to draw conclusions.
Recognising the importance of Data and the roles they play in today’s world, the School of Mathematical Sciences, Tribhuvan University, launched the Bachelor of Data Science (BDS) as a full academic programme in 2024 AD. The purpose of this programme is to produce qualified individuals who can evaluate fast-growing data fields through statistical modelling, data management, artificial intelligence, machine learning, data visualisation, and other related skills for reaching logical conclusions.

Programme Structure

In 2024 AD, the School of Mathematical Sciences, TU introduced the Bachelor of Data Science as an eight-semester academic programme spanning four years. This is a 123-credit-hour programme offering foundational courses in the fundamentals of Mathematics, Statistics and Computer Science. Besides the theoretical courses, enrolled students need to appear in Practical, Project, and Internship, each of 3 credit hours, and a 1-credit-hour seminar.

• Courses covered: Mathematics, Statistics, Computer and Information Science.
• Total credit hours: 123 Credit hours 
• Nature of courses: Theoretical, Practical, Project, Seminar, Internship

Objectives

Introduced as an interdisciplinary curriculum, the primary objective of this programme is to produce individuals who have the knowledge and skills in Mathematics, Statistics and Computer Science. These individuals can analyse and evaluate the large volume of data while making strategic decisions, which helps in the growth of any organisation. Some other objectives of the Bachelor of Data Science are:

• To provide data-dependent solutions applicable in various fields for real-world problems.
• Collect, Clean and Organise a large volume of data for analysing present trends and predicting the future.
• Apply Mathematical, Statistical and Computer Skills for resolving data-dependent problems. 
• Understand ethical, professional and social issues associated with Data Science.

Curriculum

Divided into 123-credit-hour, the eight-year curriculum of the Bachelor of Data Science is listed below:

Eligibility

The Bachelor of Data Science is open to students of all disciplines from academic institutions recognised by TU.  For enrollment in the programme, the candidate must satisfy the following conditions:

• ·         Academic qualification:Candidates who wish to enrol in the Bachelor of Data Science offered by the School of Mathematical Sciences, TU must satisfy the academic conditions mentioned below:

The wishful candidate from any stream must have completed 10+2-level, or its equivalent, with a minimum of Second division or 45% and above.

Or

The candidates must have scored at least a “C” grade in the subjects of grades 11 and 12.  

• ·         Entrance examination: Candidates who satisfy the academic eligibility are required to collect, fill and submit the admission form along with all copies of all the necessary documents to the academic institution offering the programme. Administered by the School of Mathematical Sciences, higher-scoring candidates are preferred for enrollment. The format of the entrance examination is mentioned below:

Evaluation Scheme

Besides the regular class lectures and external and internal examinations, students are continuously evaluated through seminars, laboratory work, internship, and project work. Except for seminar, project work, and internship, students must secure at least 40% in each category to appear in the semester-ending board examinations. Mark weightage of the internal and external examination to the final grade is given below:

• Internal Examination: 40%
• External Evaluation: 60%

The practical examinations carry 50% of the overall internal weightage for courses with laboratory activities. Students must score at least 40% in each category to pass the course. Subject experts examine each paper, including the Seminar, project work, internship, as well as laboratory work.

Grading Scheme

The college implements various tools to internally evaluate students, while the board examination administered by the University externally evaluates their performance. A letter grade assigned by the University indicates the overall performance of the student. The chart below represents letters with their corresponding grading scale, grade point, and performance remarks.

Career Prospect

BDS Graduates from TU have the theoretical knowledge and technical skills for winning a high-paying job in any IT-based industry, both in the public and private sectors. Some of the potential careers for BDS graduates are:

• Data Analyst
• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Big Data Engineer