Introduction

The Bachelor of Science in Data Science at Don Bosco Degree College is designed to equip students with the analytical and computational skills needed to thrive in the data-driven world. This program blends mathematics, statistics, and computer science to provide a strong foundation in data analysis, machine learning, and artificial intelligence.

Students will gain hands-on experience with modern data tools and technologies, preparing them for careers in business analytics, research, and technology development. The curriculum emphasizes problem-solving, ethical data usage, and real-world applications, ensuring graduates are ready to tackle complex challenges in various industries.

With expert faculty, industry collaborations, and a focus on practical learning, Don Bosco Degree College offers a dynamic environment for aspiring data scientists to innovate, analyze, and lead in the digital era.

Course Objectives

• Fundamental Knowledge – Equip students with a strong foundation in mathematics, statistics, and computer science, essential for data-driven problem-solving.

• Programming & Computational Thinking – Develop proficiency in Python, R, and SQL, enabling students to write efficient algorithms and manipulate large datasets.

• Data Analysis & Visualization – Train students in data wrangling, exploratory data analysis, and visualization techniques using tools like Tableau, Power BI, and Matplotlib.

• Machine Learning & AI – Introduce core concepts of machine learning, deep learning, and artificial intelligence, preparing students for predictive modeling and automation.

• Big Data & Cloud Computing – Familiarize students with big data technologies, including Hadoop, Spark, and cloud platforms like AWS and Google Cloud.

• Ethical & Responsible Data Usage – Instill principles of data privacy, security, and ethical AI, ensuring responsible handling of information.

• Industry Applications & Real-World Problem Solving – Encourage students to apply data science techniques to business analytics, healthcare, finance, and social sciences.

• Research & Innovation – Foster a mindset of continuous learning and research, enabling students to contribute to advancements in data science.

• Career Readiness & Professional Development – Provide hands-on experience through internships, industry collaborations, and capstone projects, ensuring graduates are job-ready.

Course Outcomes

• Data Science Foundations – Graduates will demonstrate a strong understanding of mathematics, statistics, and computer science, enabling them to analyze and interpret complex datasets.

• Programming & Algorithmic Thinking – Students will develop proficiency in Python, R, and SQL, applying computational techniques to solve real-world data challenges.

• Data Analysis & Visualization – Learners will be able to clean, process, and visualize data using tools like Tableau, Power BI, and Matplotlib, making informed decisions based on insights.

• Machine Learning & AI Applications – Graduates will be equipped to design, implement, and evaluate machine learning models, applying AI techniques to predictive analytics and automation.

• Big Data & Cloud Computing – Students will gain hands-on experience with big data frameworks like Hadoop and Spark, along with cloud platforms such as AWS and Google Cloud.

• Ethical & Responsible Data Handling – Learners will understand data privacy, security, and ethical AI principles, ensuring responsible and fair use of data.

• Industry Applications & Problem-Solving – Graduates will apply data science methodologies to business analytics, healthcare, finance, and social sciences, solving complex industry problems.

• Research & Innovation – Students will develop a continuous learning mindset, contributing to advancements in data science through research and experimentation.

• Career Readiness & Professional Growth – Through internships, industry collaborations, and capstone projects, graduates will be prepared for roles in data analytics, AI development, and business intelligence.