Master in Data Science | TU

Overview

The Master in Data Science at Tribhuvan University is an interdisciplinary program designed to meet the growing demand for skilled data professionals in Nepal and beyond. With the rise of computers, internet, and big data, the program equips students with advanced knowledge in programming, statistics, machine learning, data analytics, visualization, and data security. Offered by the Department of Mathematics, this course develops graduates who can analyze, manage, and interpret complex data, ensuring ethical use of information while preparing them for careers in research, business, and technology-driven industries.

Objectives of Master in Data Science

The curriculum is designed and administered by the department in such a manner that students who graduate successfully develop IT skills, especially in Data management and safety for later use.  The graduate has knowledge and the skills not only in managing data security, but they also have skills to cleanse, secure and manipulate the data to get information. Some other objectives of the programme are:

• To produce skilled individuals who collect, clean, store and query data from a variety of private and public data sources.
• To produce skilled graduates who assess, evaluate and respond to decision-making needs and requirements.
• To prepare a trained individual who can apply appropriate analytic techniques to provide estimates that support decision-making and action.
• To prepare a skilled data communicator who can communicate actionable information in written, oral and visual formats.
• To prepare qualified human resources who can analyse present trend and help predict the future.

Admission Requirements in Master in Data Science

To enroll in the Master in Data Science program at Tribhuvan University, candidates must meet the following academic requirements:

• A quantitative and computational background in Calculus, Linear Algebra, and Statistics.
• Eligible degrees: BSc (CSIT), BSc (Math), Bachelor’s in Mathematical Science, BSc (Statistics), BA (Math).
• Graduates of BE, BIT, and BCA with at least 2 Mathematics and 1 Statistics course are also eligible.

Eligibility

Candidates who meet the academic qualification must collect, fill and submit the entrance examination form along with other supporting documents. The aspiring candidate must score a good grade on the entrance examination administered by the Department of Mathematics. The format of the entrance examination is given below:

• Full Marks: 100
• Pass Marks: 35
• Nature of question: MCQ
• Time: 2 hours
• Questions asked: Each question bears a point. The question pattern of the entrance examination is given in the table below:

The colleges offering the programming may also conduct in-person interviews before enrolling the candidates.

Fee Structure

The total cost for the Master in Data Science program over eight semesters ranges between NPR 500,000 – 600,000. Students pay a portion of the fee during admission, with the remaining amount payable in installments at the start of each semester.

Scholarships :

• One male and one female student will be awarded merit-based scholarships.
• Additionally, 10% of enrolled students will receive full scholarships

Career and Scope

The field of data science in Nepal and globally is expanding rapidly, with increasing demand for skilled professionals in industries like IT, business, healthcare, finance, and research. The global data science market is projected to grow from USD 95.39 billion in 2021 to USD 322.9 billion by 2026, ensuring excellent career opportunities for graduates.

Popular Data Science Careers after Graduation:

• Artificial Intelligence Engineer – builds AI models using machine learning techniques.
• Data Scientist – analyzes datasets to identify patterns, trends, and business solutions.
• Data Engineer – designs pipelines and algorithms to process large-scale data.
• Machine Learning Engineer – develops predictive models that improve with data.
• Software Engineer (Data Tools) – creates and manages software solutions for data handling.
• Data Modeller – structures and organizes data using specialized tools.
• Data Analyst – interprets data to generate insights for business growth.
• Big Data Engineer – collects, organizes, and prepares large volumes of raw data.

Graduates of Tribhuvan University’s Master in Data Science program are well-prepared for both domestic and international careers in the data-driven economy.