Master's of Applied Science in Data Science

Master’s of Applied Science in Data Science is a two-year, research-intensive postgraduate program focused on advanced analytics, machine learning, and thesis-based knowledge creation.

Description

The Master of Applied Science in Data Science at Madan Bhandari University of Science and Technology is designed to develop advanced competence in data-driven analysis, modeling, and research. The program progresses from foundational programming and analytics to deep learning, data engineering, and original research. Strong emphasis is placed on methodological rigor, ethical research practices, interdisciplinary application, and production of a substantial master’s thesis. Graduates are trained for both high-level industry roles and academic research pathways.

Program Mission

• Advance deep theoretical and practical understanding of data science
• Build independent research capacity and original contribution to the field
• Integrate data science across multiple societal and industrial domains
• Prepare graduates for research, innovation, and advanced professional roles

Program Objectives

• Implement machine learning algorithms for real-world data problems
• Evaluate and select appropriate models using performance metrics
• Conduct advanced statistical and analytical studies
• Apply ethical standards and rigorous research methodologies
• Produce original research through a master’s thesis

Learning Outcomes

Graduates will demonstrate the ability to:

• Design and implement data science pipelines from raw data to insight
• Apply machine learning and deep learning techniques effectively
• Conduct independent, publishable research
• Critically evaluate models, methods, and datasets
• Apply data science ethically across domains such as health, climate, agriculture, tourism, and social systems

Curricular Structure Overview

• Core Courses: Programming, analytics, machine learning, research methods, data engineering, deep learning
• Technical Electives: Generative AI, text mining, IoT, agriculture, climate, tourism, healthcare, social networks
• Thesis: 30 credits of independent research
• Total Credits: 50

Eligibility

• Four-year Bachelor’s degree in science, engineering, technology, or relevant disciplines
• Minimum CGPA: 2.75 out of 4.0 or equivalent

Career Pathways

• Data Scientist or Machine Learning Engineer
• Research Scientist or Academic Researcher
• Data Analyst in finance, health, telecom, agriculture, climate, and tourism
• PhD candidate or research-based career track
• Data-driven technology and analytics roles in public and private sectors