A Bachelor of Technology (B.Tech) in Computer Science is an undergraduate program that prepares students for a career in the field of computer science. The program typically takes four years to complete and covers a wide range of topics, including programming, algorithms, data structures, computer networks, software engineering, database systems, and computer architecture. The curriculum of a B.Tech in Computer Science program emphasizes both theoretical knowledge and practical skills. Students learn how to design and develop software systems, analyze and solve complex problems, and work effectively in teams. They also gain a solid understanding of the mathematical and scientific principles underlying computer science.

The Department of Computer Science and Engineering with a focus on Data Science established in 2023 endorsed by the All India Council for Technical Education (AICTE) and affiliated with APJ Abdul Kalam Technological University (KTU).The forefront of technological innovation, dedicated to equipping students with the skills and knowledge needed to excel in the rapidly evolving field of data science.

The scope of Data Science within this field is vast and continually expanding, encompassing several key areas:

Data Collection and Management:

• Data Acquisition: Techniques for gathering data from various sources including databases, APIs, and web scraping.
• Data Storage: Managing data efficiently using technologies such as SQL databases, NoSQL databases, and cloud storage solutions.
• Data Governance: Ensuring data quality, security, and compliance with regulatory standards.

Data Processing and Transformation:

• Data Cleaning: Removing inconsistencies and errors to prepare data for analysis.
• Data Integration: Combining data from disparate sources to create a unified dataset.
• Data Transformation: Converting data into a suitable format for analysis, including normalization and aggregation.

Statistical Analysis and Visualization:

• Exploratory Data Analysis (EDA): Using statistical methods to uncover patterns and insights within data.
• Data Visualization: Creating visual representations of data using tools such as Tableau, D3.js, and matplotlib to communicate findings effectively.

Machine Learning and Predictive Analytics:

• Supervised Learning: Developing models for classification and regression based on labeled data.
• Unsupervised Learning: Identifying hidden patterns or groupings in data without predefined labels, such as clustering and dimensionality reduction.
• Reinforcement Learning: Training models to make sequences of decisions by rewarding desired behaviors.

Big Data Technologies:

• Distributed Computing: Utilizing frameworks like Hadoop and Spark to process large-scale datasets across distributed systems.
• Real-time Data Processing: Implementing technologies such as Apache Kafka and Apache Flink for streaming data analysis.

Ph.D. in Computer Science and Engineering is a research-focused doctoral degree program that prepares students for a career in academia, research, or industry. Ph.D. students in computer science and engineering typically specialize in a particular area of research, such as artificial intelligence, machine learning, computer vision, cybersecurity, software engineering, or computer networks. Upon completing a Ph.D. in Computer Science and Engineering, graduates are well-prepared to pursue academic positions as professors or researchers, as well as research positions in industry or government.