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 Educational 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.
Driving Innovation in the Digital Age
Computer Science & Engineering (Artificial Intelligence & Machine Learning) is at the forefront of driving innovation in the digital age, empowering students to design intelligent systems that transform industries and improve lives. By combining strong foundations in computer science with cutting-edge advancements in artificial intelligence and machine learning, CSE_AIML fosters creativity, critical thinking, and real-world problem-solving. From developing smart automation and data-driven solutions to pioneering breakthroughs in healthcare, finance, cybersecurity, and sustainable technologies, the program equips future technologists to lead in a rapidly evolving digital ecosystem and shape a smarter, more connected world.
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?
Future-Focused Curriculum
Our CSE (AI & ML) program is designed around emerging technologies like artificial intelligence, machine learning, data science, and deep learning, ensuring students stay ahead in the rapidly evolving digital world.
Industry-Aligned Learning
The curriculum integrates real-world projects, internships, and industry collaborations, helping students gain practical exposure and hands-on experience.
Excellent Career Opportunities
AI & ML professionals are in high demand across industries such as healthcare, finance, cybersecurity, automation, and e-commerce, offering high-paying and global career prospects.
Advanced Labs & Research Support
TStudents get access to modern computing labs, AI tools, and opportunities to work on innovative research projects guided by experienced faculty.
Skill Development Beyond Academics
The program focuses on coding excellence, problem-solving, innovation, hackathons, certifications, and entrepreneurship, preparing students to become future technology leaders.
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
