The B.E in CSE (Data Science) program is a comprehensive blend of computer science, data analytics, artificial intelligence, and statistical modeling that prepares students to tackle complex real-world problems using data-driven solutions. The curriculum is meticulously designed to provide students with a strong foundation in computing while offering specialized knowledge in various branches of Data Science, Machine Learning, Big Data, and Artificial Intelligence (AI).

Structured Learning for a Future-Ready Career

The program is structured across four years, progressing from foundational computing subjects to advanced Data Science applications:

Core Computing & Programming (Years 1 & 2)

• Fundamentals of Programming (C, Java, Python)
• Data Structures and Algorithms
• Operating Systems & Computer Organization
• Database Management Systems
• Software Engineering & Object-Oriented Programming

Mathematical & Statistical Foundations (Year 2)

• Discrete Mathematics
• Computer-Oriented Statistical Methods
• Linear Algebra & Probability
• Business Economics & Financial Analysis

Data Science & Analytics (Years 3 & 4)

• Introduction to Data Science (Exploratory Data Analysis, Data Wrangling)
• Big Data Analytics (Hadoop, Spark, NoSQL Databases)
• Predictive Analytics (Regression Models, Decision Trees)
• Data Warehousing & Business Intelligence (ETL, Data Mining)
• Privacy-Preserving Data Mining (Secure & Ethical AI Practices)

Artificial Intelligence & Machine Learning (Years 3 & 4)

• Machine Learning (Supervised & Unsupervised Learning, SVM, Neural Networks)
• Deep Learning & Neural Networks (TensorFlow, PyTorch)
• Natural Language Processing (NLP) (Text Analytics, Sentiment Analysis)
• Computer Vision & Robotics (Image Processing, Object Recognition)

Advanced Technologies & Industry-Focused Learning

• Cloud Computing & DevOps (AWS, Azure, Kubernetes, Docker)
• Web & Social Media Analytics (Google Analytics, Digital Marketing Data)
• Blockchain & Cryptography (Secure Transactions, Smart Contracts)
• Internet of Things (IoT) & Edge Computing (Real-Time Data Processing)
• Data Visualization & Reporting (Power BI, Tableau, R Programming)

Practical & Industry Exposure

• Hands-on labs in Data Structures, ML, Big Data, and Web Development
• Capstone Projects & real-world industry collaborations
• Internships & Hackathons with top tech firms
• Skill Development Courses (React.js, Django, ETL, Flutter)

This program ensures students develop a multi-faceted expertise in Data Science, equipping them with technical knowledge, analytical reasoning, and business intelligence to thrive in data-driven industries. Graduates can excel in careers such as Data Scientist, AI Engineer, Business Analyst, Cloud Specialist, and more, making this one of the most future-proof degrees in technology.

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