B.Tech. in Artificial Intelligence and Data Science 

at Maria College of Engineering and Technology (MCET, Kanyakumari), Kanyakumari

The BTech Mechanical Engineering syllabus is not the same across all colleges, as every college committee sets a particular coursework pattern at the start of every academic year to be followed for the respective batch. The syllabus includes some core subjects, interesting electives, and lab work that gives detailed knowledge to the students about the workings of the field.

Helpful Link: Mechanical Engineering Subjects in Detail

Maria College of Engineering and Technology (MCET, Kanyakumari) has been rated 3 on placements.

Maria College of Engineering and Technology (MCET, Kanyakumari) has below criteria for taking admissions to it's various courses:

Courses	Eligibility
B.E. / B.Tech	Candidate must have passed VIII, IX, X, XI & XII Std. from schools situated in Tamil Nadu. Tamil Nadu native candidate who have passed any of the VIII, IX, X, XI & XII Std. or their equivalent exam from schools situated outside Tamil Nadu can also apply. They should produce Original Nativity Certificate. Children of Central Government Employees, irrespective of their nativity, provided their parents or guardians (only if both parents are not alive) have been serving in Tamil Nadu continuously for the past five years can be eligible to apply. Sons & daughters of All India service Tamil Nadu cadre officers are eligible to apply. A Self declaration from the parent in this regard is to be produced. Children of employees in the Public Sector or Government recognised institutions had been working in their organisations for the past five years are also eligible, irrespective of their domicile. Other State candidates who have studied VIII, IX, X, XI and XII Std. in Tamil Nadu are eligible to apply.
MBA/PGDM	Candidate who have completed 10+2+AMIE or 10+3 years Diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.
M.E./M.Tech	Candidate who have completed 10+2+AMIE or 10+3 years Diploma + AMIE are also eligible. AMIE candidate must have 2 years regular full time experience in the relevant field.

The flagship courses offered at Maria College of Engineering and Technology (MCET, Kanyakumari) are B.Tech, MBA/PGDM, M.E./M.Tech. The Institute has experienced faculty offering the best education to students. On the basis of Shiksha verified reviews, Maria College of Engineering and Technology (MCET, Kanyakumari) has a rating of 2.9 by students. The college's campuslife, placements, faculty and Infrastructure has been rated as 3, 3.4 and 2.6 as per reviews by students.

The overall seats available across all courses offered by Maria College of Engineering and Technology (MCET, Kanyakumari) is up to 702. Good thing to know is that Maria College of Engineering and Technology (MCET, Kanyakumari) has courses which are approved by prominent Government bodies like AICTE.

Maria College of Engineering and Technology (MCET, Kanyakumari) has been rated 3.4 for faculty as per reviews by students. This shows that Institute has qualified and experienced faculty members.

Maria College of Engineering and Technology (MCET, Kanyakumari) offers Degree courses including 7 UG and 9 PG courses. These programs are offerred in Full Time mode. Maria College of Engineering and Technology (MCET, Kanyakumari) has specializations such as B.Tech specializations in Computer Science Engineering, Electronics & Communication Engineering, Mechanical Engineering, Civil Engineering, Electrical Engineering, Aeronautical Engineering, Automobile Engineering, MBA/PGDM specializations in Finance, M.E./M.Tech specializations in Computer Science Engineering, Communications Engineering, Electrical Engineering, Power Engineering, Structural Engineering.

Colleges offer electives in specific areas of AI

• Big Data
• Cloud Computing
• Computer Graphics
• Human-Computer Interaction
• Big Data Analytics
• Cybersecurity
• Data Analytics
• AI, Neuroscience, and Natural Intelligence

Know more about -

AI and ML Engineering Courses