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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M.Tech AI & ML 2024

Other Specialization:

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Overview

The Department of Computer Science and Engineering, established in 2012, has earned a reputation for attracting top engineering talent nationwide. Our mission is to cultivate skilled Computer Engineers and Entrepreneurs equipped to meet the needs of both industry and society.

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.

We prioritize practical learning and offer a range of workshops, invited talks, and seminars to enhance both technical and soft skills. Throughout the semester, students receive specialized assistance in Technical Training, Soft Skills, and Aptitude.

University's Accomplishments and Impact

3000+

Placements 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 M.Tech AI & ML

  • 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.

  • Experts predict that the career prospects for artificial intelligence research professionals are positive. In India, an AI researcher’s average annual salary is INR 8,60,667. 

Department
at a Glance

  • Reputation
  • Experienced Faculty
  • Cutting-Edge Curriculum
  • State-of-the-Art Facilities
  • Industry Partnerships
  • Career Support
  • Diverse Learning
  • Student-Centric Approach
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Exclusive
Labs

  • Artificial Intelligence & Machine Language Lab
  • Internet of Things lab
  • Full Stack Development
  • Cloud Computing Lab
  • Android Development Lab
  • Open Source Technologies Lab
View More

Your Department in a Nutshell

  • Achievements
  • Patents
  • Research
  • Expert Sessions
  • Activities
  • Labs
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Eligibility & Fee Details

For Indian Students : B.E/B.Tech or AMIE in Any discipline or M.Sc. (any discipline) or MCA or Equivalent

Course Fee
Admission Fee (one time)
5000/- (at the time of admission)
Tuition Fee
54000/- 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 qualifying exam

% in Graduation [1] Scholarship on Tuition Fee
Above 90% 35%
85% – 89.99% 25%
75% – 84.99% 10%
60% – 74.99% 5%
  • Early Admission Benefits Upto Rs. 5000/- Admission Taken Before 15th July 2024
  • Scholarship in Tuition fee (for all 4 semesters): up to 35% based on academic performance.

Why Join M.Tech AI & ML?

Joining an M.Tech program in Artificial Intelligence (AI) & Machine Learning (ML) offers numerous compelling reasons for individuals interested in pursuing advanced education and career opportunities in these cutting-edge fields. Here are some key reasons why you might consider pursuing an M.Tech AI & ML program:

  • In-Demand Skills: AI and ML are among the fastest-growing fields in technology, with high demand for skilled professionals across various industries. Pursuing an M.Tech AI & ML program equips you with specialized skills and expertise that are highly sought after by employers in sectors such as healthcare, finance, automotive, e-commerce, cybersecurity, and more.
  • Career Opportunities: Graduates of M.Tech AI & ML programs have access to diverse and lucrative career opportunities. You can pursue roles such as AI/ML engineer, data scientist, research scientist, machine learning specialist, AI consultant, software developer, AI architect, and many others. These roles offer competitive salaries, challenging work environments, and opportunities for professional growth and advancement.
  • Cutting-Edge Research: M.Tech AI & ML programs often involve opportunities for cutting-edge research and innovation. You can work on research projects that contribute to advancements in AI and ML theory, develop novel algorithms and techniques, and address real-world challenges in areas such as healthcare, autonomous systems, natural language processing, computer vision, and more. Research experience enhances your expertise and opens doors to academic or industry research positions.
  • Impactful Applications: AI and ML have transformative potential to solve complex problems and create positive societal impact. By pursuing an M.Tech AI & ML program, you can leverage your skills to develop AI-powered solutions for healthcare diagnostics, financial forecasting, personalized recommendations, autonomous vehicles, smart cities, environmental monitoring, and other critical domains. Contributing to such impactful applications can be professionally rewarding and personally fulfilling.
  • Interdisciplinary Learning: M.Tech AI & ML programs often involve interdisciplinary learning, combining principles from computer science, mathematics, statistics, engineering, and other fields. This interdisciplinary approach broadens your perspective, fosters creative thinking, and enables you to tackle complex challenges from multiple angles. You'll gain a holistic understanding of AI and ML that prepares you for versatile roles and enables you to collaborate effectively across disciplines.

What makes Department
of M.Tech AI & ML unique?

The Department of M.Tech in Artificial Intelligence (AI) & Machine Learning (ML) may offer several unique features and characteristics that set it apart from other academic institutions. Here are some factors contributing to its uniqueness:

The department's curriculum is designed to be at the forefront of AI and ML advancements, incorporating the latest research findings, industry trends, and emerging technologies. Courses cover a wide range of topics, including deep learning, natural language processing, computer vision, reinforcement learning, and ethical AI, providing students with a comprehensive understanding of the field.
The department's curriculum is designed to be at the forefront of AI and ML advancements, incorporating the latest research findings, industry trends, and emerging technologies. Courses cover a wide range of topics, including deep learning, natural language processing, computer vision, reinforcement learning, and ethical AI, providing students with a comprehensive understanding of the field.01
The department adopts an interdisciplinary approach to education, integrating principles from computer science, mathematics, statistics, engineering, neuroscience, and other relevant disciplines. This interdisciplinary perspective enables students to explore AI and ML from multiple angles, fostering creativity, innovation, and collaboration across diverse domains.
The department adopts an interdisciplinary approach to education, integrating principles from computer science, mathematics, statistics, engineering, neuroscience, and other relevant disciplines. This interdisciplinary perspective enables students to explore AI and ML from multiple angles, fostering creativity, innovation, and collaboration across diverse domains.02
The department comprises a team of experienced faculty members who are renowned experts in AI, ML, and related fields. Faculty members have strong academic backgrounds, industry experience, and research expertise, actively contributing to advancements in AI and ML theory and applications. Their mentorship, guidance, and industry connections enrich the learning experience for students.
The department comprises a team of experienced faculty members who are renowned experts in AI, ML, and related fields. Faculty members have strong academic backgrounds, industry experience, and research expertise, actively contributing to advancements in AI and ML theory and applications. Their mentorship, guidance, and industry connections enrich the learning experience for students.03
The department is equipped with state-of-the-art infrastructure, including advanced laboratories, computing facilities, and software tools dedicated to AI and ML research and development. Students have access to the latest hardware, software, and technology platforms used in industry and research, facilitating hands-on experimentation and innovation.
The department is equipped with state-of-the-art infrastructure, including advanced laboratories, computing facilities, and software tools dedicated to AI and ML research and development. Students have access to the latest hardware, software, and technology platforms used in industry and research, facilitating hands-on experimentation and innovation.04
The department fosters a culture of research and innovation, providing students with opportunities to engage in cutting-edge research projects. Students collaborate with faculty members on research initiatives, publish papers in top-tier conferences and journals, and contribute to advancements in AI and ML theory and applications. Research experiences prepare students for careers in academia, industry research, or entrepreneurship.
The department fosters a culture of research and innovation, providing students with opportunities to engage in cutting-edge research projects. Students collaborate with faculty members on research initiatives, publish papers in top-tier conferences and journals, and contribute to advancements in AI and ML theory and applications. Research experiences prepare students for careers in academia, industry research, or entrepreneurship.05
The department emphasizes practical learning experiences to complement theoretical knowledge. Students engage in hands-on assignments, projects, and laboratory exercises that involve implementing AI and ML algorithms, analyzing real-world datasets, and developing AI-powered solutions to complex problems. Practical experience enhances students' skills and prepares them for the demands of the workplace.
The department emphasizes practical learning experiences to complement theoretical knowledge. Students engage in hands-on assignments, projects, and laboratory exercises that involve implementing AI and ML algorithms, analyzing real-world datasets, and developing AI-powered solutions to complex problems. Practical experience enhances students' skills and prepares them for the demands of the workplace.06
The department collaborates closely with industry partners to provide students with exposure to real-world applications, industry best practices, and networking opportunities. Industry collaborations may include guest lectures, workshops, internships, projects, and placement opportunities that help students gain practical insights, build professional networks, and transition to successful careers in AI and ML.
The department collaborates closely with industry partners to provide students with exposure to real-world applications, industry best practices, and networking opportunities. Industry collaborations may include guest lectures, workshops, internships, projects, and placement opportunities that help students gain practical insights, build professional networks, and transition to successful careers in AI and ML.07
The department recognizes the importance of ethical considerations in AI and ML development and integrates discussions on ethics, fairness, transparency, accountability, and bias mitigation into the curriculum. Students are encouraged to critically examine the societal implications of AI technologies and to develop responsible AI solutions that align with ethical principles and values.
The department recognizes the importance of ethical considerations in AI and ML development and integrates discussions on ethics, fairness, transparency, accountability, and bias mitigation into the curriculum. Students are encouraged to critically examine the societal implications of AI technologies and to develop responsible AI solutions that align with ethical principles and values.08
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Placements

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OJT Stipend per month
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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

M.Tech AI & ML at Career Point University

What is the duration of the M.Tech AI & ML program at Career Point University?

The M.Tech AI & ML program at Career Point University typically spans two years of full-time study, although the duration may vary depending on the institution and country.

What are the eligibility criteria for admission to the M.Tech AI & ML program?

Eligibility criteria may include completing a bachelor’s degree in computer science, engineering, mathematics, or a related field from a recognized university with a minimum percentage or grade, meeting age requirements, and fulfilling any additional criteria specified by the university.

What subjects are covered in the M.Tech AI & ML curriculum at Career Point University?

The curriculum covers a wide range of topics in AI and ML, including machine learning algorithms, deep learning, natural language processing, computer vision, reinforcement learning, big data analytics, and AI ethics.

Are there any internship or practical training opportunities during the M.Tech AI & ML program?

Career Point University may offer internship or practical training opportunities as part of the M.Tech AI & ML program. These experiences allow students to gain hands-on experience working in AI and ML-related projects, collaborate with industry partners, and apply classroom knowledge to real-world scenarios.

What career opportunities are available after completing the M.Tech AI & ML program?

Graduates of the M.Tech AI & ML program can pursue various career paths in roles such as AI/ML engineer, data scientist, research scientist, machine learning specialist, AI consultant, software developer, AI architect, and more.

Does Career Point University offer placement assistance for M.Tech AI & ML graduates?

Career Point University may offer placement assistance to M.Tech AI & ML graduates through career counseling, resume workshops, mock interviews, job placement assistance, industry collaborations, and networking events with potential employers.

Is the M.Tech AI & ML program accredited at Career Point University?

Accreditation status may vary depending on the university. Accreditation ensures that the program meets certain standards of quality and excellence. It’s essential to verify the accreditation status of the M.Tech AI & ML program at Career Point University.

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