B.Tech CSE with specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Fee Structure for B.Tech CSE with specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Tuition Fee Rs 61200 /- (Per Semester )
Examination Fee Rs 4500 /- (Per Semester )
Lab Charges Rs 500 /- (Per Semester )
Enrolment Fee Rs 1000 /- (One Time )
Admission Registration Fee Rs 5000 /- (One Time )
Admission Processing Fee Rs 2500 /- (One Time )
Convocation Charges Rs 2500 /- (One Time )
Alumni Charges Rs 500 /- (One Time )
University Uniform Rs 0 /- (One Time )
Application Fees Rs 1000 /- (One Time )

B.Tech. (AI+ML+DL) Programme Scholarship

Scholarship for Jain Students:

  • All Jain students will be given upto 50% exemption in tuition fees and upto 50% in hostels fees for the entire duration of the programme.
  • Multiple scholarships will not be available.

Scholarship for Non Jain Students:

Scholarship Range Marks in qualified Exam All India Rank in JEE (Main) UP-CET Ex- TMU Student
10% 60-69.9% N/A N/A N/A
15% 70-79.9% N/A N/A 60% to 69.9 %
20% N/A 25001 to 50000 5001-9000 70% to 79.9%
25% 80% to 89.9% N/A N/A N/A
30% N/A N/A N/A 80% to 89.9%
50% 90% & Above 15001 to 25000 3001-5000 90% & Above
90% N/A Up to 15000 Up to 3000 N/A

Chancellor's Scholarship (For Teerthanker Mahaveer University Staff Wards)

For all Programmes except Collaborative, Dental and Medical 20% per Year

Special Scholarship for Meritorious Sports Aspirant of District/State/National Level

Upto 100*

Other Scholarship

  • Discount of 10% in tuition fee shall be given to the siblings of students studying / seeking admission in the university with the condition that it will be given to the sibling whose fee is lesser and it shall be applicable only on first year tuition fee and not on subsequent years.
  • Scholarship on case to case basis to differently-abled students will be given for entire programme. The amount of scholarship shall be such as based upon the level of disability (obtained from District Hospital) being produced. The details of the scholarship shall be shared subsequently once decided by the committee constituted for the purpose.
  • Multiple scholarship will not be available.

Programme Details for the Academic Session 2024-25

The B.Tech stands for Bachelor of Technology which builds your gateway to an immersive educational experience. This programme equips you with the knowledge and skills needed for success in the fields of AI, ML, and Deep Learning.

  • Industry-based Curriculum: Our programme is crafted to align with industry demands, ensuring you learn the latest technologies and advancements.
  • Practical and Field-based Experience: Gain practical insights through real-world projects, simulations, and industry internships which bring forth the best in the students for future and professional aspects.
  • Expert Faculty: Learn from seasoned professionals, academic experts as well and highly qualified faculty, therefore not just industrial-based expertise, who all are dedicated to student success.

Unleash your potential with a programme designed to foster innovation and creativity which develop a deep understanding of AI, ML, and Deep Learning, and position yourself as a sought-after professional in the tech industry. Additionally choosing B.Tech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning is not just about acquiring a degree; it's about positioning yourself at the forefront of technological innovation, preparing for a future where your skills are not just valued but indispensable. Join us on this transformative journey, and together, let's shape the future of technology.

The B.Tech CSE- Specialisation in Artificial Intelligence, Machine Learning and deep learning demands a versatile skill set to navigate the intricacies of technologies. Here are the essential skills required for success in the programme such as programming proficiency, analytical skills, problem-solving, mathematical, and ethical consideration as well as fundamental skills and many more therefore by honing these skills, you not only position yourself as a proficient AI, ML, and Deep Learning practitioner but also prepare for a successful and impactful career in the ever-evolving landscape of technology.

Our faculty at the College of Computing Sciences and Information Technology (CCSIT) is renowned for its expertise in AI, ML, and Deep Learning. With a perfect blend of academic excellence and industry experience, our instructors are committed to shaping the tech leaders of tomorrow.

  • Expertise in AI, ML, and Deep Learning: Our faculty members are experts in the domains of Artificial Intelligence, Machine Learning, and Deep Learning. With advanced degrees and extensive industry experience, they bring a wealth of knowledge to the classroom, ensuring that students receive cutting-edge insights.
  • Research skills: CCSIT faculty actively engage in groundbreaking research, contributing to the advancement of AI technologies. Their research publications, projects, and collaborations with industry leaders underscore their commitment to staying at the forefront of technological innovation.
  • Practical Experience: Many faculty members have practical experience working in industries where AI, ML, and Deep Learning are applied. This real-world exposure allows them to impart not just theoretical knowledge but also practical insights into the challenges and opportunities in the field.
  • Advanced Teaching Methods: The faculty at CCSIT employs innovative and interactive teaching methods. From hands-on projects to case studies, they ensure that students gain a deep understanding of theoretical concepts while developing practical problem-solving skills.
  • Dedication to Student Success: The faculty at CCSIT is committed to the success of every student. They provide mentorship, guidance, and support throughout the academic journey, helping students overcome challenges and excel in their studies.
  • Holistic Development: Beyond academic excellence, CCSIT faculty is dedicated to the holistic development of students. They encourage participation in extracurricular activities, hackathons, and research competitions, fostering a well-rounded skill set in students.
  • Facilities: CCSIT provides facilities, including advanced labs and research centres, enabling faculty members to conduct impactful research and students to engage in hands-on learning experiences.
  • Alumni connections: The success of CCSIT alumni in the industry is a testament to the quality of education and mentorship provided by the faculty. Many graduates have gone on to make significant contributions in the fields of AI, ML, and Deep Learning.

Navigate the seamless admission process at TMU Moradabad. Our streamlined procedures ensure that aspiring students can easily join the ranks of tomorrow's tech innovators. For further detailed information and queries connect with the admission cell at 18002701490 or visit the admission page.

Excel in top-notch examinations that serve as benchmarks for technical skills. These exams such as JEE, IIT etc open doors to prestigious opportunities, setting the stage for a successful career.

The journey doesn't end with graduation. Discover the myriad opportunities awaiting you, from pursuing advanced studies to entering the workforce as a skilled professional who embraces a mindset of lifelong learning where the field of AI, ML, and Deep Learning evolves rapidly, and staying updated with the latest advancements is crucial for professional growth, future engagements and cooperate worlds such as Industries, Career Profiles and Entrepreneurship which sharps the skills for recognition.

Explore lucrative career prospects with competitive salaries in India's booming tech industry which balance through work experience, better understanding of technology and skills as well as professionalism. This all benefits from the high demand for AI, ML, and Deep Learning professionals.

Choosing TMU for the B Tech CSE- Specialisation in AI, ML & Deep Learning is not just a choice for education; it's a choice for a transformative and enriching experience that equips you with the skills, holistic development and mindset needed to thrive in the tech industry of TMU with best campus, infrastructure also with industrial collaborations. Join us at TMU and embark on a journey towards a successful and fulfilling career in technology.
Lastly, in consideration, the B.Tech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning at Mahaveer University Moradabad is a transformative journey towards a tech-driven future. Empower yourself with a comprehensive education, expert guidance, and unparalleled opportunities. Join us and shape the future of technology.

  • What is the duration of the B.Tech. CSE- Specialisation in AI, ML & Deep Learning programme at TMU?
    The duration of the programme is typically four years, divided into eight semesters.
  • What are the eligibility criteria for admission?
    Candidates should have completed their 10+2 education with a minimum percentage in relevant subjects, as specified by TMU. For further information contact the admission cell at 18002701490.
  • What programming languages are taught in the programme?
    The curriculum includes instruction in programming languages such as Python, Java, and C++.
  • How does TMU support students in gaining practical experience?
    TMU emphasises learning through projects, internships, and industry collaborations. Practical experience is integrated into the curriculum to enhance students' skills.
  • Are there opportunities for research in AI, ML, and Deep Learning?
    Yes, TMU encourages students to engage in research projects. The university provides a platform for students to contribute to advancements in these fields.
  • What is the role of internships in the programme?
    Internships are a crucial component, providing students with real-world exposure. TMU facilitates internships with industry partners to enhance students' understanding and employability.
  • How does TMU prepare students for placements?
    TMU has a dedicated placement cell that offers career guidance, conducts workshops, and connects students with potential employers. The university has a strong track record of successful placements.