Overview

The Bachelor of Technology in Computer Science and Engineering with specialisation in Artificial Intelligence & Machine Learning (B.Tech CSE – AI & ML) is an advanced, research-oriented undergraduate program designed to develop the next generation of AI engineers and machine learning practitioners. At its core, this program focuses on teaching students how to design, build, train, and deploy intelligent systems that can learn from experience, adapt to new inputs, and perform human-like cognitive tasks.‎

Machine Learning is the engine driving the AI revolution — from recommendation engines and autonomous vehicles to medical diagnostics and language translation. This program provides a deep dive into the algorithms, mathematics, and engineering practices behind modern ML systems. Students gain expertise in supervised, unsupervised, and reinforcement learning; deep neural networks; natural language processing; and computer vision — graduating ready to tackle frontier challenges in AI research, product development, and applied engineering across global industries.

Things You Need to Know

Program Inception

July 1, 2018

Fees

View fees

Eligibility

12th (HSc) in Science. Equivalent qualification required for international students

Downloadable

Brochure

Our proprietary 3 layered education

The Three Layers of Learning ensures that all learners acquire key technical skills and soft skills and possess all the necessary attributes that ensure a successful life.

LAYER 1
Knowledge
LAYER 2
Skills
LAYER 3
Development

Knowledge

This is the first stage where a student is taught to be a lifetime learner. The programme encourages critical thinking, collaboration, self-awareness, bouncing back from failure, identifying opportunities, and decision-making; all life skills are taught through stories, activities, and discussions.

Skills

Development

Student Outcomes

Today's demand for expertise in Artificial Intelligence and Machine Learning far exceeds the supply. This programme equips students with theoretical depth and hands-on capability. Graduates will be able to:

Understand the mathematical foundations of ML: linear algebra, calculus, probability and statistics.
Design and implement supervised, unsupervised, and reinforcement learning algorithms.
Build and deploy deep learning models with TensorFlow, PyTorch, and Keras.
Develop expertise in NLP, Computer Vision, and Generative AI.
Apply MLOps practices including model versioning, monitoring, and deployment at scale.
Solve complex real-world problems using AI techniques across diverse domains.
Conduct independent research and contribute to open-source ML communities.
Demonstrate responsible AI practices and understand the societal impact of ML systems.

Awards & Recognition

NAAC A+ Accredited – Among the highest-ranked private universities in Gujarat.
NBA Accredited Programs – Multiple engineering programs accredited by the National Board of Accreditation.
NIRF Ranked – Consistently featured in the National Institutional Ranking Framework.
SIRO Recognition – Scientific and Industrial Research Organisation status from DST, Government of India.
Erasmus+ Exchange Program – Students have studied at European universities (e.g., University of Pitesti, Romania).
International Hackathon Wins – Department teams won hackathons at Saudi Arabia and Singapore.
50+ Hackathons Participated – Students won cash prizes worth ₹50+ Lakh across competitions.
700+ Patents Filed, 350+ Published – Demonstrating a strong research and innovation culture.
4 Funded Startups – Student and faculty ventures incubated within the department.
Google Gemini Ambassador Program – 8 students selected from the department.
Google Summer of Code (GSoC) – 2 students selected for this globally prestigious program.
ParamShavak Supercomputer & Nvidia DGX H200 GPU – Advanced AI computing infrastructure.
First in the Region – Among the first in Saurashtra to offer specialised AI programs at UG level.
Intellify – Departmental national-level hackathon attracting participants across India and internationally.

Artificial Intelligence and Machine Learning are not merely technologies of the future — they are the driving forces transforming the present. At the Department of CSE – AI & ML, we believe that innovation begins with curiosity and grows through continuous learning, experimentation, and real-world problem solving. Our goal is to nurture future-ready engineers who possess strong technical expertise, ethical values, and the confidence to lead in an AI-driven world. Through a blend of academic excellence, industry collaboration, research exposure, and hands-on learning, we empower students to become creators of intelligent solutions rather than just users of technology. The future belongs to those who can think critically, adapt intelligently, and innovate fearlessly. I warmly invite you to join our department and embark on a journey of knowledge, innovation, and limitless opportunities

Dr Madhu Shukla

Associate Dean of FoET and HoD, Department of AI, ML & DS

Stories of Excellence

The Computer Engineering Department at Marwadi University fosters innovation, technical excellence, and holistic development. With experienced faculty, cutting-edge labs, and constant exposure to real-world challenges through hackathons, projects, and expert sessions, it has shaped me into a confident and industry-ready individual. I’m truly proud to be a part of this vibrant and future-focused department.

Innovation

Industry-ready

Technical Excellence

TANISHA KAKKAD

Computer Engineering

As a final-year Computer Engineering student at Marwadi University, my journey has been enriching. With expert faculty, industry-aligned curriculum, and strong infrastructure, the university provided great academic and practical learning opportunities. The CE Department has been instrumental in my technical and professional growth.

Academic resources

Industry trends

Practical learning

Professional growth

KASHISH MANGTANI

COMPUTER ENGINEERING

As a Computer Engineering student, I'm highly satisfied with the academic and infrastructural support. Well-structured lectures, modern labs, and supportive faculty have enriched my learning. Career guidance and placement support have been valuable, and the responsive administrative staff ensures a smooth, student-friendly environment.

Experienced faculties

career guidance

Placement support

SAVAN CHAUHAN

COMPUTER ENGINEERING

Marwadi University provided me with a strong foundation in technology and research, which paved the way for my journey in Biomedical and Health Informatics. The hands-on projects and industry exposure I received during my studies were instrumental in shaping my career path. I am truly grateful for the support and opportunities I got at Marwadi University.

Technology

Opportunity

Support

KRISHNA MRIDHA

COMPUTER ENGINEERING

The rigorous academic environment and mentorship at Marwadi University played a crucial role in my success at GATE and my admission to IIT Delhi. The emphasis on practical learning and innovative thinking empowered me to excel in Artificial Intelligence and Data Science. Marwadi University truly prepared me for the competitive world.

Mentorship

Competition

Learning

Sonu Kumar Yadav

COMPUTER ENGINEERING

Marwadi University laid the foundation for my professional journey, where I completed my B.Tech in Computer Engineering with a 9.67 CGPA. The supportive environment and practical exposure helped me grow. Being a TCS Campus Ambassador enhanced my leadership skills, and an early placement at Zignuts Technolabs in the 7th semester earned me an achievement award. I’m grateful to the CE faculty for their constant guidance and support.

Support

Transformation

Foundation

Ishan Avlani

COMPUTER ENGINEERING

As parents, we are truly impressed with the quality of education and mentorship provided by the Computer Engineering Department at Marwadi University. The faculty’s constant support, modern facilities, and focus on practical learning have played a vital role in our daughter Tanisha’s growth and confidence. We are proud of her progress and grateful to the university for shaping her future so well.

Mrs. Shital Kakkad

As a parent of a final-year Computer Engineering student at Marwadi University, I’m very happy with the quality of education and overall development my child has received. The university offers a safe environment, excellent faculty, and strong academic support. It’s reassuring to see my child grow confidently towards a successful career.

Mr. Bharat Mangtani

As a parent, I am very pleased with my child's progress at the college. The faculty members are supportive and ensure that students understand concepts thoroughly. My child is learning well, both academically and in terms of practical skills. I also appreciate the career guidance provided, which is helping shape a clear future path

Overview

Things You Need to Know

Course Outline

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