CPUEST for B.Tech

Admission Criteria:

Entrance Test Details: 
  • Exam Syllabus: Same as JEE Main
  • Exam Duration: 90 min
  • Mode of Examination: 
  1. Online: From anywhere using Desktop/Laptop with a camera. This exam is proctored though Artificial Intelligence. You can also take online Test at our admission office in Kota also
  2. Offline Center: Kota
  • Examination Date:  12th May, 19th May, 2nd June, 16th June and 7th July (Student can opt any one date). For each test, the result shall be declared within 7 days after examinations.
  • Exam Pattern:
  1. Exam consists of 45 Multiple Choice Questions with only one correct answer. 
  2. Each correct answer will award 4 marks and 1 mark will be deducted for the wrong answer. 
  3. Exam shall be proctored with AI (Artificial Intelligence) 
  • Scholarship: 
  • Criteria1: Based on students performance in CPUEST, scholarship up to 90% in tuition fee shall be awarded.
  • Criteria 2: Scholarship is also given to meritorious students based on their past academic performance. For this see scholarship details on course info page 
  • Note: In case a student is eligible to receive scholarship under both criteria, then he/she will receive scholarship whichever is higher.  
  • How to Apply:
  1. Apply online and fill all details at www.cpur.edu.in 
  2. Deposit Application fee Rs 1000/-
  • Terms & Conditions
  1. A student can appear in the CPU-EST only once in an academic session. In case it is found that the student has appeared more than once then, his eligibility for Scholarship shall stand canceled.
  2. Scholarship shall be strictly decided on the basis of the performance of the students subjected to scoring minimum cut off marks in each subject.
  3. The final decision to award scholarship and any other benefits will remain with Career Point University management and this decision will be final and binding on candidates.
 
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B. Tech CSE in

Artificial Intelligence & Machine Learning

Other Specialization:

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Overview

A Bachelor of Technology (B. Tech) in Artificial Intelligence & Machine Learning (AI & ML) is an undergraduate program designed to provide students with a strong foundation in the principles and practices of AI and ML. This program typically spans four years and combines theoretical knowledge with practical applications to prepare students for careers in technology, research, and related fields.

With state-of-the-art infrastructure, we support a dynamic academic environment conducive to research and extracurricular activities. Our faculty members, possessing extensive qualifications and experience, are dedicated to fostering the holistic development of our students.

Overall, a B. Tech in Artificial Intelligence & Machine Learning provides a comprehensive education that equips students with the skills and knowledge necessary to thrive in the rapidly evolving field of AI and ML.

University's Accomplishments and Impact

3000+

Placement So Far

66 Lakhs

Highest Package

30

Startups

130

Patent Published

1250+

Research Publication

905

National & Int'l Journal

Trust of more than, 10,000 Students

Scope of B.Tech in AI & Machine Learning

  • The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.

  • By 2030, AI is expected to master natural language processing, enabling more nuanced and context-aware interactions. Conversations with AI will become indistinguishable from human conversations, revolutionizing customer service and virtual assistants.

Department
at a Glance

  • Mission and Vision
  • Faculty
  • Facilities and Resources
  • Curriculum Overview
  • Student Opportunities
  • Career Services
  • Research and Development
  • Community and Outreach
View More

Exclusive
Labs

  • Artificial Intelligence & Machine Learning Lab
  • Internet of Things (IoT) Lab
  • Full Stack Development Lab
  • Cloud Computing Lab
  • Android Development Lab
  • Open Source Technologies Lab
View More

Your Department in a Nutshell

  • Achievements
  • Patents
  • Research
  • Expert Sessions
  • Activities
  • Labs
View More

Eligibility & Fee Details

For Indian Students : 12th Pass with PCM OR Equivalent

Course Fee
Admission Fee (one time)
5000/- (at the time of admission)
Tuition Fee
60000/- Per Semester
Examination Fee
3000/- Per Semester
Development Fee
8000/- Per Semester
Caution Money (one time)
3000/- (Refundable)
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Scholarship Criteria

Based on performance in JEE (Main) / 12th Board performance

%ile in JEE Main % in Class XII (PCM) Scholarship on Tuition Fees
Above 95% Above 95% 50%
90% – 94.99% 90% – 94.99% 40%
85% – 89.99% 85% – 89.99% 30%
80% – 84.99% 80% – 84.99% 20%
75% – 79.99% 70% – 79.99% 15%
70% – 74.99% 60% – 69.99% 10%
  • Early Admission Benefits Upto Rs. 5000/- Admission Taken Before 15th July 2024
  • Scholarship in Tuition fee (for all 8 semesters): up to 50% based on academic performance.

Why Join B. Tech in
Artificial Intelligence & Machine Learning?

The scope of B.Tech AIML is extensive and dynamic, offering diverse career opportunities in technology, entrepreneurship, research, and cross-disciplinary applications. With the increasing demand for digital solutions across industries, AIML professionals are well-positioned for success and innovation in the ever-evolving field of technology.

  • High Demand and Career Opportunities: AI and ML technologies are in high demand across various industries, including healthcare, finance, automotive, retail, and more. Graduates with expertise in AI and ML are sought after by employers for roles such as machine learning engineer, data scientist, AI researcher, and AI software developer.
  • Cutting-edge Technology: AI and ML are at the forefront of technological innovation. Joining a B. Tech program in CSE with a focus on AI and ML allows students to work with cutting-edge technologies, algorithms, and tools used to solve complex problems and develop intelligent systems.
  • Interdisciplinary Learning: AI and ML draw from various disciplines, including computer science, mathematics, statistics, and engineering. Students in a B. Tech program with a specialization in AI and ML gain interdisciplinary knowledge and skills that are applicable across a wide range of domains and industries.
  • Research Opportunities: B. Tech programs in CSE with a focus on AI and ML often provide opportunities for research and innovation. Students can work on research projects, collaborate with faculty members, and contribute to advancements in AI and ML technologies through publications, conferences, and industry partnerships.
  • Practical Experience: The program typically includes hands-on projects, laboratory sessions, and internships where students apply AI and ML algorithms to real-world problems. This practical experience enhances students' problem-solving skills, programming abilities, and understanding of AI and ML concepts in practical settings.

What makes Department
of B. Tech in Artificial Intelligence & Machine Learning unique?

Several factors can make a Department offering a Bachelor of Technology (B. Tech) program in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) unique:

The department offers a curriculum tailored specifically to AI and ML, covering foundational concepts, advanced theories, algorithms, and applications in these fields. The curriculum may include specialized courses in machine learning, deep learning, computer vision, natural language processing, and reinforcement learning.
The department offers a curriculum tailored specifically to AI and ML, covering foundational concepts, advanced theories, algorithms, and applications in these fields. The curriculum may include specialized courses in machine learning, deep learning, computer vision, natural language processing, and reinforcement learning.01
The department boasts a team of experienced faculty members with expertise in AI and ML. Faculty members actively engage in research, publish papers, and collaborate with industry partners in AI and ML projects. Their expertise and mentorship contribute to an enriching academic experience for students.
The department boasts a team of experienced faculty members with expertise in AI and ML. Faculty members actively engage in research, publish papers, and collaborate with industry partners in AI and ML projects. Their expertise and mentorship contribute to an enriching academic experience for students.02
The department is equipped with state-of-the-art laboratories, computational resources, and software tools dedicated to AI and ML research and applications. These facilities enable students to conduct experiments, implement algorithms, and develop AI-based solutions for real-world problems.
The department is equipped with state-of-the-art laboratories, computational resources, and software tools dedicated to AI and ML research and applications. These facilities enable students to conduct experiments, implement algorithms, and develop AI-based solutions for real-world problems.03
The department collaborates closely with leading companies, research organizations, and startups working in AI and ML. Industry partnerships may include guest lectures, workshops, sponsored projects, internships, and recruitment opportunities, providing students with exposure to industry trends, challenges, and best practices.
The department collaborates closely with leading companies, research organizations, and startups working in AI and ML. Industry partnerships may include guest lectures, workshops, sponsored projects, internships, and recruitment opportunities, providing students with exposure to industry trends, challenges, and best practices.04
The department fosters a culture of research and innovation in AI and ML through academic conferences, seminars, and research groups. Students and faculty members collaborate on research projects, publish papers in reputed journals and conferences, and contribute to advancements in AI and ML technologies.
The department fosters a culture of research and innovation in AI and ML through academic conferences, seminars, and research groups. Students and faculty members collaborate on research projects, publish papers in reputed journals and conferences, and contribute to advancements in AI and ML technologies.05
The program emphasizes hands-on learning and practical experience in AI and ML. Students have the opportunity to work on projects, participate in hackathons and competitions, and complete internships with industry partners. These experiences enhance students' problem-solving skills, programming abilities, and understanding of AI and ML concepts in real-world scenarios.
The program emphasizes hands-on learning and practical experience in AI and ML. Students have the opportunity to work on projects, participate in hackathons and competitions, and complete internships with industry partners. These experiences enhance students' problem-solving skills, programming abilities, and understanding of AI and ML concepts in real-world scenarios.06
AI and ML draw from various disciplines, including computer science, mathematics, statistics, and engineering. The department's interdisciplinary approach provides students with a holistic understanding of AI and ML, enabling them to tackle complex problems and explore innovative solutions from multiple perspectives.
AI and ML draw from various disciplines, including computer science, mathematics, statistics, and engineering. The department's interdisciplinary approach provides students with a holistic understanding of AI and ML, enabling them to tackle complex problems and explore innovative solutions from multiple perspectives.07
The department may offer personalized learning experiences, mentorship programs, and academic advising to support students' individual interests, goals, and career aspirations in AI and ML. Students receive guidance on course selection, research opportunities, internships, and professional development activities tailored to their needs.
The department may offer personalized learning experiences, mentorship programs, and academic advising to support students' individual interests, goals, and career aspirations in AI and ML. Students receive guidance on course selection, research opportunities, internships, and professional development activities tailored to their needs.08
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Placements

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Highest Package
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OJT Stipend per month
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3 (2)
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Recruiters Tie Up's

1-Amazon
2-Linkdin
5-Microsoft
7-TCS
8-One-Dot-Com
11-Infosys-BPM
22-Bajaj-Fin
23-Axix-Bank
40-Just-Dial

Our Students Speak

It has been a great journey as a student of Career Point University, as coming up wity great opportunities and exprouser. I was a average student to start with then the faculty help me the some certifications and extra course so there i pursued 7 courses I start learning more & exploring more in dara science than after some assistance of faculty and internet resources I crack the test and interview or celebal technology as a post of associate Data Scientist.
Hitesh Ankodia
Hitesh Ankodia B.tech CSE Placed in : Celebal Technologies
Package: 6 LPA
Career Point University provides a great exposure to students by organizing different activities and training which has helped all students. The atmosphere is full of motivation and innovation. It is all because of the efforts put by our faculty and training and placement department which always makes sure that students get placed in the best company in the market. My confidence has been boosted after coming here. I am really thankful to Career Point University for providing a platform to enhance my career.
Sourabh Rathore
Sourabh Rathore B.tech CSE Placed in : Celebal Technologies
Package: 9 LPA
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How to Apply

Steps to Follow

STEP 1
Register Yourself
STEP 2
Verify Email
STEP 3
Fill Application Form Online
STEP 4
Pay Application Fee
STEP 5
Submit Application
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Frequently Asked Questions

B. Tech in Artificial Intelligence & Machine Learning at Career Point University

What are the eligibility criteria for admission to the B. Tech in AI & ML program at Career Point University?

Candidates must have completed 10+2 or equivalent examination with Physics, Chemistry, and Mathematics as core subjects. They should have secured a minimum aggregate of 50% marks in these subjects.

Is there an entrance exam for admission?

Yes, admission is typically based on performance in the Career Point University Entrance Exam (CPUEE) or other national-level entrance exams like JEE Main.

What is the application process?

The application process involves:

  • Filling out the online application form available on the university’s official website.
  • Submitting academic transcripts and entrance exam scores.
  • Paying the application fee as specified by the university.
Are there any scholarships available?

Yes, Career Point University offers scholarships based on academic performance, entrance exam scores, and other criteria. Detailed information can be found on the university’s scholarship page.

How does this program differ from a general Computer Science degree?

While a general Computer Science degree covers a broad range of computing topics, a B. Tech in AI & ML focuses specifically on artificial intelligence and machine learning, providing in-depth knowledge and specialized skills in these areas.

How can I stay updated on the latest developments in AI & ML?

Students are encouraged to participate in workshops, seminars, and conferences. Career Point University also has student clubs and organizations dedicated to AI & ML where students can collaborate and learn about the latest trends and advancements.

What facilities and resources are available to students?

Students have access to state-of-the-art laboratories, high-performance computing resources, extensive libraries, and licensed software tools for AI & ML development.

What career opportunities are available after graduation?

Graduates can pursue careers as AI/Machine Learning Engineers, Data Scientists, Research Scientists, Software Developers, and Consultants. They can work in sectors like technology, healthcare, finance, automotive, and retail.Graduates can pursue careers as AI/Machine Learning Engineers, Data Scientists, Research Scientists, Software Developers, and Consultants. They can work in sectors like technology, healthcare, finance, automotive, and retail.

Are there opportunities for further studies?

Yes, graduates can pursue advanced degrees such as M.Tech, M.S., or Ph.D. in AI, ML, data science, or related fields.

What kind of companies hire AI & ML graduates?

Companies like Google, Microsoft, IBM, Amazon, Facebook, Tesla, healthcare institutions, financial firms, and startups focused on AI technologies actively hire AI & ML graduates.

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