B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)
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.
- Edge Intelligence
- AI in Healthcare
- AI Computing Platform
- Deep Learning Architectures
- Augmented and Virtual Reality
Applications Open for 2025
B.Tech Electronics and Communication Engineering (Artificial Intelligence and Machine Learning)
Information on Scholarship 2025 will be updated shortly. Please check back soon.
The candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025. [*Applicable only for Bioengineering and Food Engineering programme] conducted by the Competent Authority
AND
Minimum 50% aggregate in PCM or PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics/Biology* & English are Compulsory subjects with Chemistry/Biotechnology* or Technical Vocational Courses in 10+2/Class 12th or equivalent examination [*Applicable only for Bioengineering and Food Engineering programme] (at least 45% marks, in case of Reserved category candidate belonging to Maharashtra State only).
OR
Minimum 60% marks in Diploma in Engineering & Technology in an appropriate branch from Government approved technical board.
The selection process for B.Tech programmes is based on JEE 2025/ MHT-CET 2025/ PERA 2025/ MHT-CET-B* 2025/ NEET* 2025 score and a Statement of Purpose (500 words) written by the candidate. [*Applicable only for Bioengineering and Food Engineering programme].
- 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.
- 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.
100% placement assistance
admissions@mitwpu.edu.in 
