Department of Engineering and Technology

Artificial Intelligence
& Data Science

Department Vision

To achieve high levels of quality education by utilizing cutting-edge technology, cultivating a collaborative culture, and propagating customer-focused innovations in order to benefit society as a whole.

Department Mission

  • M1: To strengthen the theoretical and practical aspects of the learning process by strong research culture in collaboration with communities to build healthy and sustainable world.
  • M2: To Contribute towards greater association between academia and businesses to establish entrepreneurship among young minds.
  • M3: Concentrate efforts towards application areas in health care, agriculture, transport and environment.

Program Education Objectives (PEOs)

  • PEO1: Ability to exhibit professional skills as Data Analysts to develop intelligent solutions for various engineering and science applications.
  • PEO2: Imbibe passion for life-long learning, innovation, career-growth, leadership qualities, and professional ethics.
  • PEO3: Efficient team leaders, effective communicators and capable of working in multidisciplinary environment as entrepreneurs and contribute to cutting edge technologies and society.

Program Specific Outcomes (PSOs)

  • PSO1: Design, develop and implement applications and system software.
  • PSO2: Develop intelligent solutions using Data Science technologies to cater the societal needs.
Driving Innovation in Artificial Intelligence
& Data Science

The Artificial Intelligence and Data Science program at GAT delves into AI, machine learning, and data analytics principles and techniques.Students gain hands-on experience in data processing, statistical analysis, and algorithm development, preparing them for careers in data-driven industries. The curriculum emphasises project-based learning, practical applications, and ethical considerations in AI and data science.

Why Choose AI & DS 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 of AI & Data Science provides world-class facilities essential for mastering data-centric disciplines. Our high-functioning labs are equipped with powerful workstations and specialized cloud platforms to handle large datasets. Access to industry-standard software, including the Anaconda data science suite, Tableau for visualization, and advanced statistical tools, ensures students gain essential, hands-on experience. These modern resources perfectly complement our updated curriculum, making you fully prepared for professional roles in data analytics and AI.

Programs Details

Upon completing the B.E. programs in Artificial Intelligence and Data Science students will

Graduates will develop proficiency in core aspects of Data Science that includes, programming, statistical analysis, data wrangling, preprocessing and visualisation.

Graduates with data engineering and big data skills possess a strong desire for innovation, career advancement, lifelong learning, and professional ethics.

Develop abilities to foster expert solutions for a range of scientific and engineering applications.

Leveraging their abilities to foster expert solutions for a range of scientific and engineering applications.

  • Data Scientist
  • Machine Learning Engineer
  • AI Research Scientist
  • Data Analyst
  • Business Intelligence Developer
  • AI Ethicist
  • Research and Development
  • Entrepreneurship

FAQs

You will learn machine learning, deep learning, NLP, and big data analytics.

Yes, students work on real-world AI applications like chatbots, recommendation systems, and predictive modeling.

AI engineer, data scientist, business analyst, or cloud AI developer.

Yes, it includes industry projects, hackathons, and collaborations with AI companies.

Yes, you will work on cloud-based AI and IoT applications.