Department of Engineering and Technology
Computer Science and
Engineering (AI & ML)
Department Vision
To Become a leading hub of excellence in education, research in the field of Computer Science and Engineering providing AI-driven solutions with holistic development for the needs of the Society.
Department Mission
- M1: To Provide aspiring engineers for industry and academia by offering excellent education in emerging AI techniques.
- M2: To equip value-added technical and research-oriented education by satisfying societal needs.
- M3: To educate with professional integrity values and ethics for the environment awareness.
Program Education Objectives (PEOs)
- PEO1: Design and Develop innovative intelligent systems for the welfare of the Society.
- PEO2: Engage in lifelong learning process through higher education and to inculcate innovative ideas in research field.
- PEO3: Lead the IT Industry with management and Entrepreneurship skills.
Program Specific Outcomes (PSOs)
- PSO1: To Produce graduates with industry-ready skills with the knowledge of Computer Science & Machine Learning technology based to solve real world problems.
- PSO2: DAbility to develop many successful applications and designing efficient algorithms for intelligent systems within the realm of artificial intelligence incorporating in data analytics, Natural language processing and Internet of Things.
Empowering the Future with AI & Machine
Learning
The Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning), established in 2022, offers a four-year B.E. program. Its curriculum provides a robust foundation in core CSE principles with focused expertise in AI and ML, preparing students with the knowledge and hands-on experience for intelligent technologies. The department fosters a dynamic learning ecosystem through rigorous academics, industry-collaborated Skill Development Programs, and student-led activities like MindMaze and Pitch Perfect. Committed to innovation and ethics, it shapes future-ready professionals and leaders in the field.
Why Choose CSE (AI & ML) at GAT?
Extensive Learning Resources
A rich department library, e-learning platforms, and industry partnerships ensure a dynamic and flexible learning experience.
Experienced Faculty
Learn from highly qualified educators and industry experts guiding students in academics, research, and real-world problem-solving.
Exemplary Facilities
The department provides students access to cutting-edge, high-end laboratories equipped with the latest software and technology to foster focused expertise in AI and ML. This includes specialized tools like MATLAB (for technical computing and deep learning), Tableau (for advanced data visualization), and XMing-OS servers, ensuring students have the essential infrastructure and powerful hands-on experience to tackle complex real-world problems.
Programs Details
Upon completing the B.E. programs in Information Science and Engineering students will
Develop a strong understanding of core AI principles, including problem-solving, reasoning, and machine learning techniques.
Design and implement models using decision trees, neural networks, and clustering techniques for applications in healthcare, finance, and automation.
Gain practical experience with Python and leading AI/ML libraries such as TensorFlow, Keras, Scikit-learn, and PyTorch.
Analyze bias, fairness, and the societal impact of AI, ensuring responsible and transparent AI/ML implementations.
- Software Engineer
- Machine Learning Engineer
- Data Analyst
- Computer Vision Engineer
- AI Research Scientist
- AI Software Developer
- Natural Language Processing (NLP) Engineer
- AI Product Manager
- Cybersecurity Analyst
- Entrepreneur
