Posted by Admin on 27-04-2024 in Shiksha hub
Posted by Admin on 27-04-2024 in Shiksha hub
The B.Sc. in Artificial Intelligence and Machine Learning at the Academy of Maritime Education and Training University offers a cutting-edge curriculum designed to prepare students for the rapidly evolving tech industry. This program focuses on equipping students with robust foundational knowledge in computer science, artificial intelligence, and machine learning. Through a blend of theoretical and practical learning experiences, students are trained to solve complex problems, design intelligent systems, and contribute to advancements in technology.
Admission to the B.Sc. in Artificial Intelligence and Machine Learning program begins with filling out an application form available on the university's website. Prospective students must submit their academic transcripts, a statement of purpose, and letters of recommendation. The admission process may also include an interview or entrance test, designed to assess the applicant's aptitude and interest in AI and machine learning. Once admitted, students are required to register for classes and attend an orientation session.
Candidates wishing to enroll in the B.Sc. program must have completed their higher secondary education with a focus on mathematics and science. A minimum aggregate score, typically around 50% in the relevant subjects, is required. Proficiency in English is also a criterion, as the coursework is delivered in English. International students may need to provide TOEFL or IELTS scores.
| Course | Duration | Seats | Fees (Approx.) |
|---|---|---|---|
| B.Sc. in Artificial Intelligence and Machine Learning | 36 months (3 years) | 30 | ₹4.50 Lakhs |
The B.Sc. program spans three years, divided into six semesters. Each semester includes a combination of lectures, practicals, and project work, ensuring a comprehensive learning experience.
The syllabus for the B.Sc. in Artificial Intelligence and Machine Learning includes core subjects such as:
Introduction to Programming
Data Structures and Algorithms
Machine Learning
Deep Learning
Robotics and Automation
Ethics in AI
Capstone Projects in AI and ML
The university offers scholarships based on merit and financial need. These scholarships are intended to support outstanding students or those requiring financial assistance. Applicants are encouraged to apply early, as funds are limited and distributed on a first-come, first-served basis.
Graduates of the program are well-prepared for careers in technology and innovation. Potential job roles include AI Specialist, Machine Learning Engineer, Data Scientist, and AI Researcher. The skills acquired through the program also prepare students for entrepreneurial ventures and further academic research in AI.
What are the application deadlines?
Application deadlines typically fall in June for the fall semester and November for the spring semester.
Is there an online mode available for this program?
Currently, the program is offered only on-campus to provide hands-on experience with AI tools and systems.
Can I transfer credits from another university?
Yes, credits from accredited universities are transferable, subject to evaluation.
What type of support services does the university offer?
The university provides career services, tutoring, counseling, and assistance for international students.
Are there internship opportunities?
Yes, the program includes mandatory internships to gain industry experience.
What are the computer requirements for the program?
Students need to have access to a computer with minimum specified hardware, including a powerful processor and GPU for AI modeling.
Can I specialize in any area?
Yes, in the final year, students can choose electives based on their interest areas within AI and ML.
What are the assessment methods?
Assessments include written exams, project presentations, and continuous evaluation through assignments.
Is financial aid available for international students?
Yes, international students are eligible for scholarships and can also seek external funding sources.
What is the alumni network like?
The university boasts a strong alumni network that provides mentorship, job referrals, and networking opportunities.