Admission hotline : +91 9061063801 / 0485 2837801
college code MBI
Admission hotline : +91 9061063801 / 485 2837801
college code MBI

Computer Science and Engineering (AI & ML)

About the Department

Established in 2025, the Department of Computer Science and Engineering (AI &ML)provide graduate programs endorsed by the All-India Council for Technical Education (AICTE) and affiliated with APJ Abdul Kalam Technological University (KTU). This department features cutting-edge infrastructure and a dedicated team of highly qualified faculty members.

Department of Computer Science and Engineering (AI &ML) aims to disseminate quality education in the evolving and impactful domains of AI and ML. We support students in becoming skilled professionals, innovators, and entrepreneurs capable of solving complex real-world problems through intelligent systems and data-driven solutions.

Our dedicated and qualified faculty members deliver both theoretical and hands-on training in areas such as machine learning, deep learning, natural language processing, computer vision, and data science. Students are guided meticulously through academic projects and research initiatives that reflect current industry and societal needs.

B.Tech in Computer Science and engineering (AI &ML)

A Bachelor of Technology (B.Tech) in Computer Science and Engineering (AI &ML) is an undergraduate program designed to prepare students for careers in the rapidly evolving fields of AI and ML. Typically spanning four years, the program offers a comprehensive curriculum that blends core computer science principles with advanced topics in artificial intelligence, machine learning, deep learning, data science, and neural networks.

Students gain a strong foundation in programming, data structures, algorithms, and mathematics, with a particular focus on linear algebra, probability, and statistics essential for understanding and building intelligent systems. The course also covers specialized subjects such as natural language processing, computer vision, reinforcement learning, robotics, and ethical AI.

The program emphasizes both theoretical understanding and practical application. Students learn to develop machine learning models, train neural networks, analyze large datasets, and deploy AI solutions in real-world environments. Project-based learning and team collaboration are integral, enabling students to solve complex problems and build intelligent systems that can adapt and learn from data.

Graduates of this program are well-equipped for roles such as AI Engineer, Machine Learning Scientist, Data Scientist, and Research Engineer, and are also prepared for further study or research in cutting-edge areas of artificial intelligence.

The computer science and engineering department offers programs that integrate both computer science and engineering principles. These programs typically provide students with a broad range of skills and knowledge in both fields, allowing them to design, develop, and maintain complex computer systems and software. Students may have the opportunity to specialize in a particular area of interest such as cyber security, artificial intelligence, machine learning, robotics, or data science.

Vision

  • To empower the students to be competent computer professionals.

Mission

  • Cater with quality education in the concepts of computer science to solve real-world problems.
  • Support students to become professionally and morally adroit engineers.
  • Educate younger generation in the evolving fields of computer science and technology.

Programs Offered

Programmes
Intake
Duration
B.Tech in Computer Science Engineering
Intake: 180
Duration: 4 Years
B.Tech in Computer Science & Engineering(Data Science)
Intake: 60
Duration: 4 Years
B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Intake: 60
Duration: 4 Years
Ph.D in Computer Science & Engineering
Intake: -
Duration: -

B.Tech in Computer Science & Engineering

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.

B.Tech in Computer Science & Engineering (Data 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 & Engineering

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.

Training and Placement Cell

A fully-fledged Training & Placement Cell is working towards better opportunities for its students and bridges the gap between prospective employer and candidate.