Artificial Intelligence & Data Science
To empower young minds with the transformative potential of Artificial Intelligence and Data Science, to envision a future where it serves as a beacon of Quality Professional Education in Engineering and Technology.
To provide comprehensive education by enabling young minds to unlock their full potential and become proficient professionals, fostering a dynamic learning environment that encourages curiosity, critical thinking, and tackling real-world challenges.
ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
Graduates can:
- Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, AI, data science and statistics to build systems that require management and analysis of large volumes of data.
- Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
- Think logically, pursue lifelong learning, and collaborate with an ethical attitude in a multidisciplinary team.
- Design and model AI-based solutions to critical problem domains in the real world.
- Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
PROGRAM SPECIFIC OUTCOMES (PSOs)
Graduates should be able to:
- Evolve AI-based efficient domain-specific processes for effective decision-making in several domains such as business and governance.
- Arrive at actionable foresight, insight, hindsight from data for solving business and engineering problems.
- Create, select, and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.
- Develop data analytics and data visualization skills, knowledge acquisition, representation, and engineering skills to coordinate complex projects.
- Carry out fundamental research to cater to the critical needs of the society through cutting-edge technologies of AI.
ROLE OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE ENGINEER
Artificial Intelligence (AI) and Data Science Engineers play crucial roles at the intersection of technology and data-driven decision-making. Key responsibilities include:
- Developing AI Models: Designing and developing machine learning and deep learning models to solve complex problems.
- Data Collection and Preparation: Gathering and preprocessing large datasets for analysis.
- Feature Engineering: Identifying and selecting relevant features from data to enhance model performance.
- Model Training and Evaluation: Training models and evaluating performance using metrics like accuracy, precision, recall, and F1-score.
- Optimization and Tuning: Optimizing model parameters and hyperparameters to improve performance.
- Deployment of Models: Deploying AI models into production environments with scalability and reliability.
- Monitoring and Maintenance: Monitoring model performance post-deployment and retraining periodically.
- Data Visualization: Visualizing data insights and model outputs to communicate findings to stakeholders.
- Research and Innovation: Staying updated with the latest AI advancements and contributing to research.
- Collaboration: Collaborating with cross-functional teams to implement solutions and deliver value.
CAREER PROSPECTS
AI and Data Science Engineers are in high demand across diverse industries. Promising career prospects include:
- Machine Learning Engineer
- Data Scientist
- AI Research Scientist
- AI Consultant
- Business Intelligence Analyst
- Big Data Engineer
- AI Product Manager
- Healthcare Data Scientist
- AI in Robotics Engineer
FACULTY DETAILS
SALIENT FEATURES
- Futuristic industry-aligned curriculum in Artificial Intelligence & Data Science.
- Specialized labs and research initiatives in Machine Learning, Deep Learning, and NLP.
- Regular hands-on hackathons and coding bootcamps to build real-world models.
- Professional certification courses in Python, R, and advanced AI tools.
- High industry demand and excellent placement track record in premium tech firms.
LAB FACILITIES
State-of-the-art laboratory infrastructure equipped with original apparatus and modern setups.
STUDENT ACHIEVEMENTS
- First prize in National AI & Coding Hackathon 2025.
- Developed an AI-powered smart attendance system for the HEC campus.
- 95%+ of students certified in advanced data science tools by global tech leaders.
STAFF ACHIEVEMENTS
- Published 12+ research papers in Scopus-indexed international journals.
- Recognized as global certified AI instructors and technical consultants.
- Achieved 100% pass results in specialized AI curriculum subjects.
Our Recruits & Placements
Our graduates are placed in leading global and national enterprises.
