Lokmanya Tilak College of Engineering Navi Mumbai Mumbai Answered Questions

Yes, private companies hire from B.E in Computer Science and Engineering (Data Science) at Lokmanya Tilak College of Engineering. Some of the main recruiters include Amazon Web Services, IBM, Cognizant, Accenture, TCS, Wipro, Infosys, and more.

Admission to B.E in Computer Science and Engineering (Data Science) at Lokmanya Tilak College of Engineering can be obtained through the following process:
Eligibility: Candidates must have passed 10+2 with Physics, Chemistry, and Mathematics as compulsory subjects.
Entrance Exam: Candidates must appear for the Maharashtra Common Entrance Test (MHT-CET) or Joint Entrance Examination (JEE) Main.
Counseling: Candidates who clear the entrance exam must participate in the counseling process conducted by the State Common Entrance Test Cell, Maharashtra.
Seat Allocation: Seats are allocated based on the candidate's rank in the entrance exam and the availability of seats in the college.
Document Verification: Candidates must verify their documents, including their 10+2 mark sheet, entrance exam scorecard, and other relevant documents.
Fee Payment: Candidates must pay the tuition fees and other applicable fees to confirm their admission.
Note: The admission process may vary depending on the academic year and the college's admission policies. It is recommended to check the college's website or contact the admission office for the most up-to-date information.

The Lokmanya Tilak College of Engineering offers admission to the B.E in CSE (AI & ML) course based on the candidate's performance in the entrance exams such as MHT-CET or JEE Main, and the rules set by the State Common Entrance Test Cell, Maharashtra State.

To apply for admission to B.E in CSE (AI & ML) at Lokmanya Tilak College of Engineering, follow these steps:
1. Check the eligibility criteria: Ensure you meet the required qualifications and prerequisites for the course.
2. Fill the application form: Submit your application through the official website or in-person at the college.
3. Upload required docs: Provide necessary docs such as academic certificates, identity proof, and other supporting docs.
4. Pay the application fee: Pay the required fee for the application process.
5. Appear for entrance exams (if required): Some institutions may require entrance exams like JEE Main or MHT CET for admission to engineering courses.
6. Check the admission schedule: Keep track of important dates, including admission deadlines and counseling schedules.
7. Attend counseling (if required): Participate in counseling sessions to confirm your admission and choose your preferred course.
8. Pay the tuition fee: Once admitted, pay the required tuition fee to secure your seat.
9. Complete the admission formalities: Finish any remaining formalities, such as submitting original docs and completing any additional requirements.
10. Begin your academic journey: Start attending classes and begin your journey in the B.E CSE (AI & ML) programme at Lokmanya Tilak College of Engineering.

To get admission to B.E in CSE (Artificial Intelligence and Machine Learning) at Lokmanya Tilak College of Engineering,
1. Visit the official website of Lokmanya Tilak College of Engineering.
2. Check the eligibility criteria for the course.
3. Fill the online application form.
4. Appear for the entrance exam (if required).
5. Wait for the merit list to be announced.
6. If selected, pay the fees and complete the admission formalities.
Note: The admission process may vary depending on the institute's policies and the student's qualification. It's always best to check the official website or contact the institute directly for the most up-to-date information.

B.E in CSE (AI & ML) graduates from Lokmanya Tilak College of Engineering can work in various jobs such as:
- Design and analysis of algorithms
- Computer programming languages
- Software design
- Computer hardware
- Artificial Intelligence
- Machine Learning
- Statistics
- Big Data Analytics
- Computer Vision
- Business Intelligence
- Deep Learning
- Reinforce learning
- Robotics
- Predictive Analytics using R
- Swarm and Bio-inspired Intelligence
- Robotic Process Automation
- Genetic Algorithms
- Fuzzy Logic and Systems
- Natural Language Processing
They have high prospects to get associated with leading Industries across the globe, including large number of IT companies that employ huge number of computer Science and IT professionals with expertise in the domain of AI & ML.