KCG College of Technology Okkiyam Thuraipakkam Chennai Answered Questions

KCG College offers B.E. in Computer Science and Engineering with a 4-year program, providing successful career opportunities as software professionals, entrepreneurs, or researchers, and enabling students to analyze, design, develop, test, and deploy solutions for real-world computing problems.

To get admission to B.E. Computer Science and Engineering at KCG College, the following documents are required:
1. 10th standard mark sheet
2. 12th standard mark sheet
3. Transfer certificate
4. Conduct certificate
5. Community certificate (if applicable)
6. Income certificate (if applicable)
7. Passport size photographs
8. Entrance exam score card (e.g., TNEA, JEE Main)

B.E. in Computer Science and Engineering graduates from KCG College can work as Research and Development Engineers, or pursue careers in cutting-edge manufacturing companies. They may also be involved in arranging quality recruiters for campus placements, guest lectures, career awareness, and guidance from industry experts. Additionally, they can work on creating awareness among students about careers and the preparation required to achieve them, imparting necessary skills to face the selection process with confidence, and identifying potential companies for recruiting students through campus placement.

To apply for B.Tech. in Artificial Intelligence and Data Science at KCG College, visit the college's official website for admission details. The programme focuses on providing knowledge in Artificial Intelligence and Data Science, including machine learning, analytics, and visualization technologies. The course covers core technologies like artificial intelligence, data mining, and data modeling, with intensive inputs in machine learning and big data analytics. Research projects include biomedical text mining, analytics in surveillance videos, and predictive analytics for cancer. The department's vision is to become a Centre of Excellence, and its mission is to provide quality education, facilitate skill-based value-added education, and inculcate professional performance.

Admission to B.E. in Computer Science and Engineering at KCG College requires a pass in a recognised Bachelor's degree or equivalent in the relevant field with at least 50% marks (45% for reserved category candidates) in the qualifying degree examination.

In B.Tech. in Artificial Intelligence and Data Science at KCG College, you will study various subjects such as artificial intelligence, data mining, data modeling, machine learning, and big data analytics. The course also covers topics like computer vision, natural language processing, and robotics. Additionally, students will work on research projects in areas like biomedical text mining, analytics in surveillance videos, and predictive analytics for cancer. The programme aims to provide students with the skills and knowledge required to become competent data architects and work in various industries such as healthcare, finance, and transportation.

To seek direct admission for the BE in CSE course at KCG College, the eligibility criteria include:
1. A pass in a recognised Bachelor's degree or equivalent in the relevant field with at least 50% marks (45% for reserved categories) in the qualifying degree examination.
2. Specific qualifications like B.E/B.Tech, M.Sc (5 Years) Integrated Degree Programme, B.Sc (3 Years), and M.Sc (2 Years) in relevant fields are considered eligible.
3. Candidates with AMIE certificates and 2 years of regular full-time teaching/industrial experience are also eligible.
4. Lateral Entry and Part-time modes of study in degree courses are considered, but candidates admitted through Lateral Entry in degree courses (except B.E/B.Tech) are not eligible.
5. The minimum average marks required in the qualifying examination vary by community: 55% for OC, 50% for BC & BC (Muslims), 45% for MBC & DNC, and 40% for SCA/SC/ST communities.
6. The qualifying UG Degree should conform to the minimum standards of instruction prescribed by UGC.
7. Program-specific eligibility criteria apply, such as B.E/B.Tech in relevant fields like Electronics and Communication Engineering, Computer Science and Engineering, and Information Technology for M.E programs.

B.Tech. in Artificial Intelligence and Data Science graduates from KCG College can work in various roles such as:- Data Scientist- Artificial Intelligence Engineer- Machine Learning Engineer- Data Analyst- Business Intelligence Developer- Data Architect- Researcher in AI and Data Science - AI/ML Engineer- Business Analyst- Operations Research Analyst- Data Engineer- Quantitative Analyst- Computer Vision Engineer- Natural Language Processing (NLP) Specialist- Robotics Engineer.

To get a seat in KCG College for B.Tech. in Artificial Intelligence and Data Science, follow these steps:1. Check the eligibility criteria: The candidate should have a minimum aggregate of 50% in their 10+2 exams with Physics, Chemistry, and Mathematics as compulsory subjects.2. Apply for the admission: Fill the online application form available on the KCG College website and submit it along with the required documents.3. Appear for the entrance exam: KCG College accepts scores of various entrance exams like TNEA, JEE Main, etc.4. Attend counseling: If selected, attend the counseling session where the seat will be allotted based on the rank and availability.5. Pay the fees: Once the seat is confirmed, pay the tuition fees and other applicable fees to secure the admission.

KCG College offers B.Tech. in Artificial Intelligence and Data Science with innovative learning solutions, establishing knowledge in AI and Data Science. The course covers core technologies like artificial intelligence, data mining, and data modeling, as well as machine learning and big data analytics. The department has a vision to become a Centre of Excellence and a mission to provide quality education, facilitate skill-based value-added education, and inculcate professional performance. The programme includes research projects, and the faculty has domain expertise in areas like AR, analytics, data sciences, and AI. The laboratory is equipped with 66 systems and various software tools.