B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)

Programme Overview

The B.Tech in Electronics and Communication Engineering programme, specialising in Artificial Intelligence and Machine Learning at MIT-WPU, offering students dual proficiency. The curriculum focuses on electronic devices, circuits, communication systems, and AI-ML domains, fostering an in-depth understanding. Core subjects establish a strong foundation in semiconductor devices, analog and digital circuits, and signal processing.

Through theoretical concepts and practical applications, students can explore algorithms, neural networks, deep learning, computer vision, and natural language processing.

Practical labs, workshops, and projects ensure hands-on experience designing electronic systems and developing AI-ML applications. Collaborations with top companies, internships, and capstone projects expose students to real-world challenges, helping them know the industry trends and demands. The programme also focuses on research projects, seminar participation, and contributions to innovative solutions in the fields of ECE and AI-ML.

Key features of this programme includes Augmented and Virtual Reality: This facilitates highly interactive and engaging learning environment for students.

Deep Learning: Students can learn advanced concepts, analyse data accurately through deep learning.

AI Computing Platform: This subject easily helps graduates to understand the latest AI applications.

Major Tracks
Duration
4 Years

Last Date to Apply : 02 June 2024
Programme Name

B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)

Fee Per Year

Rs. 3,15,000




Highest CTC
INR 51.36 LPA

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Scholarship
Scholarship Name JEE Percentile MH-CET Percentile
Dr. Vishwanath Karad Scholarship (100%) 94 & Above 95 & Above
MIT-WPU Scholarship I  (50%) 92 & Above 93 & Above
MIT-WPU Scholarship II (25%) 91 & Above 92 & Above

Note: Best of JEE or MHT-CET Score will be considered for availing the scholarship.

Scholarship Detailsbharatasmita

*Terms & Conditions apply:

All Scholarships are awarded on a First Come First Serve basis All Scholarships are awarded as fee adjustments.

To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent and there should be no disciplinary action against the student.

For more detailed information visit our website:https://mitwpu.edu.in/scholarships

Eligibility

For all B. Tech programmes candidates should have appeared in JEE 2024 / MHTCET 2024 / PERA 2024 / MHTCET-B* 2024 / NEET* 2024 score. [*Applicable only for Bioengineering programme]

Minimum 50% aggregate score in PCM/PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics & English is Compulsory with Chemistry/Biotechnology* or Biology*/Technical Vocational Courses in 10+2/Class 12th or equivalent examination AND 50% aggregate score in Class 12th/HSC.

[*Applicable only for Bio engineering program] (at least 45% marks, in case of Reserved class category candidate belonging to Maharashtra State only) OR
Minimum 60% aggregate score in Diploma in Engineering & Technology in an appropriate branch from UGC approved University (without backlog).

Selection Process

The selection process for B.Tech programmes is based on JEE 2024 / MHTCET 2024 / PERA 2024 / MHTCET-B* 2024 / NEET* 2024 score and a Statement of Purpose (500 words) written by the student for those candidates who meet the Eligibility criteria. [*Applicable only for Bioengineering programme]

Programme Highlights
  • Advanced laboratories with high-end DELL PowerEdge Servers and an AIoT SerBot Prime X Robot, featuring powerful NVIDIA® RTX A6000 GPUs, tailored for ECE AI-ML engineers.
  • Cutting-edge technology through specialised clubs, serving as incubators for innovation and offering resources, mentorship, and networking opportunities.
  • Dedicated career services cell connecting students to esteemed industries like Northern Trust, Volkswagen Group Technology Solutions India, Bosch, Accenture, Amdocs, and more, supporting diverse career trajectories.
  • Dedicated career services cell connecting students to esteemed industries like Northern Trust, Volkswagen Group Technology Solutions India, Bosch, Accenture, Amdocs, and more, supporting diverse career trajectories.
  • Holistic Development Focus
  • Emphasises personal growth, ethical considerations in technology, and a nuanced understanding of AI's broader societal impact.
  • Innovation-friendly environment, with clubs providing platforms for idea incubation, ensuring concepts evolve into tangible innovations.
  • Cutting-edge facilities, including AIoT SerBot Prime X Robot and NVIDIA® RTX A6000 GPUs, creating an optimal learning environment for aspiring ECE AI-ML engineers.
  • Ecosystem supporting your career plans, whether they involve employment in prestigious industries, pursuing higher education, or venturing into entrepreneurship.
  • Students can easily explore the latest technological advancements and get high-paying roles through our focus on Computer Network & Security, Natural Language Processing and Project-based learning methods.
Programme Outcomes
  • Apply mathematics, science, and engineering principles to solve intricate engineering problems, showcasing a solid grasp of engineering fundamentals.
  • Identify, formulate, and analyse complex engineering problems, drawing substantiated conclusions by reviewing research literature and employing first principles of mathematics and natural and engineering sciences.
  • Design solutions for intricate engineering problems, ensuring components or processes meet specified needs with due consideration for public health, safety, and cultural, societal, and environmental aspects.
  • Conduct investigations of complex problems, utilising research-based knowledge, experimental design, data analysis, and information synthesis to derive valid conclusions.
  • Create, select, and apply viable techniques and modern engineering tools, considering societal and environmental contexts, in keeping with ethical and responsible engineering practices in individual and team settings.
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