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Achariya College of Engineering Technology
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B.Tech in Artificial Intelligence and Data Science 
at Achariya College of Engineering Technology, Pondicherry

Star Icon3.1 /5
  • Private Institute
  • Estd. 2010

B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
Overview

Total Tuition Fees

₹1.70 Lakh
Get Fees details

Duration

4 years

Course Level

UG Degree

Mode of Course

Full Time

Official Website

Go to Website External Link Icon

Seat breakup

30

Type of University

Private
B.Tech in Artificial Intelligence and Data Science
Table of contents
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B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
Fees

Fee componentsAmount (4 years)
₹ 1.70 Lakh
₹ 1.70 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.

B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
Students Ratings & Reviews

3.1/5
Verified Icon3 Verified ReviewsInfo Icon
Placement Review IconPlacements3.3
Infrastructure Review IconInfrastructure3
Faculty Review IconFaculty & Course3
Crowd Review IconCampus Life3.3
Money Review IconValue for Money3
R
Ruthrakaran K Verified Icon
B.Tech in Artificial Intelligence and Data Science - Batch of 2027
3.4
4Placements3Infrastructure3Faculty4Crowd & Campus Life3Value for Money
Good placements, supportive faculty, and industry-relevant curriculum in AI and data science.
Placements: Around 70 percent of students in the AIDS course got placed. The highest package is 8 LPA the lowest is 3 LPA and the average is 4.5 LPA. Top recruiters are TCS Infosys Wipro Accenture Cognizant and a few AI startups. Nearly 60 percent of students secured internships in AI, data analytics, and cloud-based companies. Roles offered included data analyst, AI/ML engineer, python developer, and business analyst. Placement cell provided training, aptitude sessions, and mock interviews, making the overall placement record above average and helpful for students entering the industry.
Infrastructure: AIDS department has smart classrooms, Wi-Fi, and modern computer labs with AI/ML tools. Library offers both physical and digital resources. Hostels are clean, safe, and provide 24X7 water and power. Mess food is hygienic with veg and non-veg options, though the taste can improve. Medical support, sports grounds, indoor games, and canteen facilities are available, overall, the infrastructure supports academics, projects, and extracurricular activities, creating a good learning and living environment for students.
Faculty: Faculty members in the AIDS department are knowledgeable, supportive, and approachable, with many holding higher qualifications and research experience. Teaching quality is good, with a focus on practical learning through projects and labs. Curriculum is updated with subjects like AI, ML, data analytics, and cloud, making it industry-relevant. Semester exams are moderately difficult, testing both theoretical and practical understanding, but with proper preparation, most students perform well. The pass percentage generally remains high, around 85-90%, and continuous assessment helps students stay prepared throughout the semester.
Other: I chose the AIDS course because of my strong interest in artificial intelligence, data science, and their career opportunities. The best part of the course is the industry-relevant curriculum with practical labs and projects that build real-world skills. I wish there were more tie-ups with core companies and advanced workshops. Campus has a friendly crowd, good connectivity, and regular cultural and technical fests that encourage student participation. Extracurricular activities, sports, and scholarships also support overall development. Environment is vibrant and motivating, though more industry exposure would make the course even better.
Reviewed on 5 Sep 2025Read More
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K
Kokulavarthini T Verified Icon
B.Tech in Artificial Intelligence and Data Science - Batch of 2027
3.2
3Placements3Infrastructure3Faculty4Crowd & Campus Life3Value for Money
AI department offers good placements, skilled faculty, and modern infrastructure.
Placements: In our AI department, about 85 to 90 percent of students get placed. The highest package is around 20 LPA, the lowest is around 4 LPA, and the average is about 7 LPA to 8 LPA. Top recruiters include TCS, Infosys, Accenture, Deloitte, Amazon, and Microsoft. Around 70 percent of students secure internships with companies like Capgemini, Cognizant, and Wipro. Key roles offered are data scientist, machine learning engineer, AI engineer, data analyst, and business analyst.
Infrastructure: Our AI department offers well-equipped labs with high-performance systems, Wi-Fi-enabled classrooms, digital library access, and smart boards to support practical learning. Hostel provides clean rooms, Wi-Fi, study areas, and 24/7 security. The mess and canteen serve hygienic, balanced food with multiple options. Medical facilities include an on-campus health center with doctors and emergency care. College also supports sports and games with playgrounds, indoor courts, and gym facilities. They encourage both fitness and recreation.
Faculty: Faculty members in the AI department are highly qualified. They are approachable and supportive. They ensure both conceptual clarity and practical exposure. Teaching quality is strong. It has a mix of lectures, labs, projects, and industry interactions. The curriculum is regularly updated with AI, ML, data science, and big data tools. This makes students industry-ready through hands-on training. Semester exams are moderately difficult. They are designed to test understanding rather than rote learning. With proper preparation, most students perform well. The pass percentage is 90 percent. It reflects both effective teaching and student support systems.
Other: I chose AI and data science because of my interest in technology and problem-solving skills. It has vast career opportunities. The best aspects are the updated curriculum, skilled faculty, practical labs, and strong placement support. I wish for more industry tie-ups, research opportunities, and internships to enhance exposure. The campus offers fests, cultural, and technical events. It has an active crowd. Connectivity is good. Surroundings are peaceful. College provides scholarships, clubs, and extracurricular activities for development. The course and campus provide an excellent balance of academics, career preparation, and personal growth.
Reviewed on 6 Sep 2025Read More
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R
Ruthra Karan Verified Icon
B.Tech in Artificial Intelligence and Data Science - Batch of 2027
2.8
3Placements3Infrastructure3Faculty2Crowd & Campus Life3Value for Money
Good academics, decent placements, and supportive faculty with scope for growth.
Placements: Around 70-75% of students were placed. The highest package was 12 LPA, the lowest 3 LPA, and the average was 5-6 LPA. Top recruiters included TCS, Wipro, Infosys, HCL, Capgemini, and Cognizant. About 60% of students got internships in IT firms and startups. Major roles offered were Software Developer, Data Analyst, System Engineer, and Testing Engineer.
Infrastructure: Department had classrooms with projectors, computer labs, Wi-Fi, and a well-stocked library. Hostel rooms were small but manageable. Mess food was average, though canteen food was better. Medical facilities were basic but functional. Sports grounds and indoor games existed, but needed better maintenance.
Faculty: Faculty members were qualified, knowledgeable, and supportive. Curriculum was relevant and included labs, projects, and coding sessions, though more industry workshops could be added. Semester exams were moderately difficult but manageable with preparation. Pass percentage was 85-90%, and many scored distinctions.
Other: I chose AI & Data Science because of my interest in emerging technologies and future career scope. Best part was exposure to machine learning, Python, and real projects. More industry tie-ups and workshops would improve it further. Campus life was vibrant with fests, hackathons, cultural events, clubs, sports, and scholarships, creating a balanced environment.
Reviewed on 24 Aug 2025Read More
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B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
 
Frequently Asked Questions

Q:   What is covered in Machine Design subject in B.Tech course?
A: 

Dear candidate, the subject of Machine Design basically teaches you about the designing fundamentals of various types of machinery across industries. You get to learn about the different ways in which elements can be combined to form an equipment or machine system and get the work done in an effective manner.

The knowledge of this subject is very important for a mechanical engineer as he/she will have to put this to use in the future whenever they enter the workforce as a mechanical engineering professional.

Hope this cleared your doubt. Have a good day.

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Q:   Is the BTech CSE syllabus the same across all colleges?
A: 

The BTech CSE syllabus differs on the basis of the college offering the course. Every college follows a particular coursework pattern set by the college committee. Though the subjects might vary, the overall conceptual framework is more or less similar for students to get hold of the important concepts of the CSE field.

The syllabus includes core subjects, elective subject choices, practical lab work, workshops, and a final year research project.

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Q:   Are there any elective subjects in ECE courses?
A: 

ECE courses do offer various electives for you to opt in the both the UG-level and PG-level ECE courses where you get the chance to pick a specific subject that interests you more, is easy-going for you, and in which you can even pursue a specialisation further to tailor your career path in a particular direction.
You can choose to pick a subject according to the specialised field within your broad ECE specialization, which you would like to enter into in the future, where you see yourself as a well-established engineer. For example, in BTech ECE, there are a variety of electives like Embedded Systems, Antenna Design, Fiber-optic communication, VLSI Technology, etc.

Know more about -
ECE Courses Syllabus

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Q:   Is the BTech Mechanical Engineering syllabus the same for all colleges?
A: 

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

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Q:   How much is the intake across all courses being offerred at Achariya College of Engineering Technology?
A: 
The overall seats available across all courses offered by Achariya College of Engineering Technology is up to 450. Good thing to know is that Achariya College of Engineering Technology has courses which are approved by prominent Government bodies like AICTE.
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B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
Entry Requirements

General
OBC
SC
ST
Requirements for 12th gradeUp Arrow Icon
  • 45%
Other eligibility criteriaUp Arrow Icon

B.Tech in Artificial Intelligence and Data Science
 at 
Achariya College of Engineering Technology 
Admission Process

    Important Dates

    ALL
    CENTAC
    May 31, 2026
    CENTAC Counselling 2026 Application Form Start DateTentative
    Jun 27, 2026
    CENTAC 2026 Merit ListTentative
    Jun 30, 2026
    CENTAC 2026 CounsellingTentative

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    B.Tech in Artificial Intelligence and Data Science
     at 
    Achariya College of Engineering Technology 
     
    Students also asked

    Q:   How is the faculty at Achariya College of Engineering Technology?
    A: 
    Achariya College of Engineering Technology has been rated 3.7 for faculty as per reviews by students. This shows that Institute has qualified and experienced faculty members.
    AskShikshaGPT on App
    Q:   Which major specializations are available at Achariya College of Engineering Technology?
    A: 
    Achariya College of Engineering Technology offers Degree and Diploma courses including 5 UG course. Additionally, it also has After 10th Diploma courses. These programs are offerred in Full Time mode. Achariya College of Engineering Technology has specializations such as B.Tech specializations in Civil Engineering, Computer Science Engineering, Electronics & Communication Engineering, Mechanical Engineering, After 10th Diploma specializations in Electronics & Communication Engineering, Mechanical Engineering.
    AskShikshaGPT on App
    Q:   Is Achariya College of Engineering Technology a known college/Institute?
    A: 
    Achariya College of Engineering Technology is a well-known institution for B.Tech, After 1th Diploma courses. These programs are delivered by highly experienced faculty. As per Shiksha verified reviews, Achariya College of Engineering Technology has a rating of 3.7 on the basis of reviews by students. Not just this, it has also been rated 3.8 on campuslife, 3.7 on placements, 3.7 on faculty and 4 on Infrastructure.
    AskShikshaGPT on App
    Q:   How can I get into Achariya College of Engineering Technology for UG/PG courses? Am I eligible for admission?
    A: 
    Achariya College of Engineering Technology has below criteria for taking admissions to it's various courses:
    CoursesEligibility
    B.E. / B.TechCandidate who have passed 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category).
    After 10th DiplomaCandidate must have passed 10th examination from a recognised board.
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    Q:   Does Achariya College of Engineering Technology provide good placement facilities?
    A: 
    Achariya College of Engineering Technology has been rated 3.7 on placements.
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    B.Tech in Artificial Intelligence and Data Science
     at 
    Achariya College of Engineering Technology 

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    Home Icon/Colleges in Pondicherry/Achariya College of Engineering Technology/Courses/B.Tech in Artificial Intelligence and Data Science

    B.Tech in Artificial Intelligence and Data Science
     at 
    Achariya College of Engineering Technology 
    Contact Information

    Address

    Uruvaiyaru, Achariyapuram Villianoor Puducherry- Puducherry- 605 110
    Pondicherry

    Go to College Website ->