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.
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
Exclusive
Labs
- Artificial Intelligence & Machine Language Lab
- Internet of Things lab
- Full Stack Development
- Cloud Computing Lab
- Android Development Lab
- Open Source Technologies Lab
Your Department in a Nutshell
- Achievements
- Patents
- Research
- Expert Sessions
- Activities
- Labs
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) |
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:
Placements
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Our Students Speak
Package: 6 LPA
Package: 9 LPA
How to Apply
Steps to Follow
Frequently Asked Questions
M.Tech AI & ML 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.
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.
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.
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.
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.
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.
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.