Eligibility
Minimum 50% marks in 12th with Physics, Chemistry & Mathematics (PCM) Or 10th + (2 years ITI) with 40% marks in appropriate Trade.
About the Programme
The Diploma in Data Science and Analytics provides a pathway for students to enhance their professional trajectory and acquire essential competencies tailored for the modern digital landscape. Tailored for busy professionals, the program focuses on fostering collaboration, hands-on learning experiences, and teamwork to tackle data-centric hurdles. Participants will master a range of interdisciplinary skills, including data collection and analysis methodologies, data visualization, statistical and computational analytics, effective communication, and the practical application of foundational data principles and tools across diverse industries and sectors.
Fee Structure
Course Fee = Rs.17500/ (Per Sem)
Examination Fee = Rs.2500/ (Per Sem)
Programme Objectives
Programme Specific Outcomes (PSOs)
01
The ability to apply Electrical engineering principles to multidisciplinary problem-solving in areas such as energy, biomedicine, materials and the environment with safety and environmental aspects.
02
The ability to do experimental research and simulations in the design and operation of process plant engineering systems.
03
The ability to enhance engineering skills and knowledge through industrial exposure by training, projects and applications of Electrical engineering software.
Important Links
Diploma in Electrical Engineering
Diploma in Electrical Engineering (Electric Vehicle)
Diploma in Electrical Engineering (Renewable Energy)
Diploma in Electronics & Communication Engineering
Diploma in Mechanical Engineering
Diploma in Computer Science & Engineering
Diploma in Computer Science & Engineering (Network Essentials)
Diploma in Computer Science & Engineering (Web Designing)
Diploma in Computer Science & Engineering (Cloud Computing & IT Infrastructure)
Diploma in Computer Science & Engineering (AI & ML)
Diploma in Computer Science & Engineering (Data Science & Analytics)