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BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Duration : 4 Years

Build Your Future with BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

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About BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Discover how the BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning program at TMU can shape your future and empower you to make a meaningful impact in your chosen field.

BTech CSE—Specialization in Artificial Intelligence, Machine Learning & Deep Learning at Teerthanker Mahaveer University is a dynamic and forward-thinking programme designed to equip students with sharp skills in the rapidly evolving fields of AI, ML, and deep learning. This cutting-edge programme goes beyond traditional computer science education by integrating emerging technologies such as Artificial Intelligence (AI), Cloud Computing, and Data Analytics—powerful tools that are revolutionising industries across the globe. Designed to meet the evolving demands of the digital economy, the programme equips students with future-ready skills for high-growth careers in tech innovation, data-driven decision-making, and intelligent system design. Here this journey, with a comprehensive understanding and skilled technology with Teerthanker Mahaveer University, which is among the top CS/IT colleges in India, will make you explore the intricacies of these transformative technologies and will shape your future in this digital era.

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BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning FEES

A transparent breakdown of the investment in your future.

S.No Fee Details Amount
1 Tuition Fee Rs 61,200 /- ( per Semester )
2 Examination Fee Rs 4,500 /- ( per Semester )
3 Lab Charges Rs 500 /- ( per Semester )
4 Enrolment Fee Rs 1,000 /- ( One Time )
5 Admission Registration Fee Rs 5,000 /- ( One Time )
6 Admission Processing Fee Rs 2,500 /- ( One Time )
7 Application Fees Rs 1,000 /- ( One Time )

BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning Scholarships 2025

Scholarship for Jain Students:

  • All Jain students will be given upto 50% exemption in tuition fees and upto 30% in hostels fees for the entire duration of the programme.
  • Multiple scholarships will not be available.

Scholarship for Non Jain Students:

Mode Of Scholarship 60-69.9% 70-79.9% 80% to 89.9% 90% & Above
Merit Based Scholarship 10% 15% 25% 50%
CUET 10% 15% 25% 50%
Madan Swarup Inter College, Harayana (U.P.) 15% 20% 30% 50%

All India Rank In JEE (Main) Up - 15000 15001-25000 25001-50000
Schlorship Percentage 90% 50% 20%

Chancellor’s Scholarship for Staff Wards

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

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

Upto 100%

Discount 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 on first year tuition fee and not on subsequent years

Upto 10%

Other Scholarship

  • 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 which shall be decided on the basis of certificate of disability (obtained from District Hospital) being produced. The details of scholarship shall be shared subsequently once decided by the committee constituted for the purpose.
  • 20% discount in tuition fee (through-out the duration of programme i.e from II to IV year) to the existing polytechnic students who take admission in B.Tech programmes ofthe University. However, such students shall not be eligible to avail benefit ofother scholarship schemes being provided bythe university.
  • Multiple scholarship will not be available.

Remarks: Scholarships are available in the admission Year only. These rules are not applicable on programmes of one year or less than one year duration & Multiple scholarships will not be available.

BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning ELIGIBILITY & SELECTION

Your pathway to joining our esteemed program. Understand the criteria and process.

Eligibility criteria illustration - students studying

Eligibility Criteria

10+2 with Physics, Maths & Chemistry (or Computer Science ) with minimum 50% marks and passing marks in English

Criteria of Merit

JEE (Main)/ CUET Score/Merit based on percentage of marks secured in the qualifying examination

Have questions about the criteria or process? Our admissions team is here to help!

Contact Admissions

OUR ESTEEMED RECRUITING PARTNERS

Connecting talent with industry leaders to foster successful careers and drive innovation.

100% Placement Assistance
200+ Companies Onboarded
65 LPA Highest Package Offered
Explore Career Opportunities
Tech Mahindra
Josh Technology Group
ION
Genpact
Deloitte
Eco Energies
Bureau Veritas
Cvent
Ust
Wizni
Decathlon
Nagarro
Datopic
Coforge
Wipro
Chetu
TCS
Sopra Steria
RemoteState
PlanetSpark
OB
Knoldus
Jellyfish
Hexaware
HL Mando

Programmme Curriculum BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Laying the groundwork with fundamental scientific principles and an introduction to pharmaceutical sciences.

Human Anatomy and Physiology I
BP101T 4 Credits
Pharmaceutical Analysis I
BP102T 4 Credits
Pharmaceutics I
BP103T 4 Credits
Pharmaceutical Inorganic Chemistry
BP104T 4 Credits

Continuing the exploration of core pharmaceutical subjects and introductory biochemistry.

Human Anatomy and Physiology II
BP201T 4 Credits
Pharmaceutical Organic Chemistry I
BP202T 4 Credits
Biochemistry
BP203T 4 Credits
Pathophysiology
BP204T 4 Credits

Advancing into complex organic chemistry, physical pharmaceutics, and microbiology.

Pharmaceutical Organic Chemistry II
BP301T 4 Credits
Physical Pharmaceutics I
BP302T 4 Credits
Pharmaceutical Microbiology
BP303T 4 Credits
Pharmaceutical Engineering
BP304T 4 Credits

YOUR CAREER PATHWAYS Career Opportunities After BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Dynamic career paths and success in BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning

Here are several prominent career paths you can pursue after earning your BTech CSE- Specialisation in Artificial Intelligence, Machine Learning & Deep Learning:

  • Management Consultant
  • Marketing Manager
  • Operations Manager
  • Financial Analyst
  • Human Resources Manager
  • Business Development Manager
  • Product Manager
  • Supply Chain Manager
  • Chief Executive Officer (CEO)
  • Entrepreneur / Founder
  • Strategy Director
  • Healthcare Administrator

Programme Overview

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.

B.Tech CSE - Specialization in Artificial Intelligence, Machine Learning & Deep Learning admissions are now open at Teerthanker Mahaveer University (TMU). This program prepares students for careers in AI and ML with hands-on training, expert faculty, and modern labs. Get 100% placement assistance with top tech companies. 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.