B.Tech. in CSE (Artificial Intelligence & Machine Learning)
Empowering innovation through the fusion of technologies
Overview
The B.Tech. Computer Science and Engineering program at SRMU with a specialization in Artificial Intelligence and Machine Learning offers students an immersive learning experience at the forefront of technological innovation. Through a comprehensive curriculum, students delve into the intricacies of AI and ML, mastering algorithms, data mining, pattern recognition, and more.
This specialized track equips graduates with the skills and knowledge to develop intelligent systems, analyze complex datasets, and create innovative solutions that drive advancements in various industries, from healthcare and finance to autonomous vehicles and robotics. With hands-on projects, industry collaborations, and expert faculty guidance, students emerge as proficient professionals ready to tackle real-world challenges in the dynamic field of AI and ML.
Understanding Artificial Intelligence:
Artificial intelligence revolutionizes industries by simulating human intelligence in machines, empowering them to perform tasks that typically require human intervention. It encompasses various technologies like machine learning, natural language processing, and computer vision, enabling systems to learn, reason, and problem-solve autonomously.
AI applications range from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis, driving innovation across sectors. As AI continues to evolve, its ethical implications, societal impact, and responsible deployment remain critical considerations in shaping its future.
Understanding Machine Learning:
Machine learning, a subset of artificial intelligence, empowers systems to learn from data and improve over time without explicit programming. It utilizes algorithms to analyze large datasets, identify patterns, and make predictions or decisions autonomously. From personalized recommendations on streaming platforms to fraud detection in banking, machine learning permeates diverse domains, optimizing processes and enhancing efficiency.
As it continues to advance, understanding its principles and applications becomes increasingly essential in driving innovation and solving complex problems.
Ramswaroop graduates get the advantage of gaining most comprehensive practical understanding of these futuristic technologies. The program is led by expert instructors who go on to expose the students to the fundamentals of NLP, AutoML, Quantum Computing, Data Preprocessing and Feature Engineering, Neural Networks and Deep Learning, Computer Vision, Reinforcement Learning and many more.
SRMU is one of the best College for B.Tech. in CSE (Artificial Intelligence & Machine Learning) in Lucknow, Uttar Pradesh providing endless opportunities in this dynamic world of computing.
Accredited
Highest Package
Placement
Students have multiple job offers
Why SRMU?

Continuous evaluation system providing students several opportunities to improve their grades

Modules as per NEP for developing industry required skills

Curriculum developed by the experts from industry and university researchers

Multiple levels of industry certification

Accredited Campus

Centre of Excellence

Nodal Centre

Preferred Partner
Program Fee
| Duration (in Year) | 1 Year | 2 Year | 3 Year | 4 Year |
|---|---|---|---|---|
| Course fee | 170000 | 170000 | 170000 | 170000 |
| Student Welfare Fund | 100 | 100 | 100 | 100 |
| Caution Money | 5000 | 0 | 0 | 0 |
| Total Fee | 175100 | 170100 | 170100 | 170100 |
| Hostel Fees + Caution Money (1st Yr. Only) | 85000 | 80000 | 80000 | 80000 |
| Transportation Fees | 33000 | 33000 | 33000 | 33000 |
Alumni Fee: 500 Degree Fee: 1000 Both these fees are payable in the final year of the program | ||||
Scholarship Schemes
Schemes
Career Counselling at Shri Ramswaroop Memorial University offers counselling to students, guiding the young minds by helping them to understand their strength and also to sail through at all levels in the job market.
SRMUSET (Shri Ramswaroop Memorial University Scholarship Entrance Test)
Merit Based Scholarship
Students Opting For Career Progression
Ward of Defense Persons/ Central Government/ State Government Employees
Ward of Martyrs
For National/ State Level Sportsperson
Blood Relatives of Staff and Students of Ramswaroop Group
Divyang & Female Candidates
EWS (Economically Weaker Section)
Department Highlights
Achievements
5 Students CSE (Shivam Agarwal,Debashish Bose,Aditya Agarwal,Abhishek Singh Bohra,Gaurav Singh) qualified GATE exam in 2022-2023
Debashish Bose selected for M. Tech program in NIT Karnataka, Surthal
Research
100+ Research Papers published in reputed journals
08+ Books and Book Chapters published
05+ Ph.D. Awarded
04+ Patents Granted/ Published
Labs
Google Android Lab
L&T Certified Lab
Artificial Intelligence & Machine Learning Lab
Cloud Computing Lab
Cyber Security Lab
Python Programming Lab
Oracle Peoplesoft Lab
Beyond Academics
Gagan Singh Yadav achieved 1st position in Table Tennis at Ullas 2023, Annual Fest held at SRMU
Raj Singh Parihar achieved 2nd position in Football at Ullas 2023,Annual Fest held at SRMU
Department Highlights
Achievements
5 Students CSE (Shivam Agarwal,Debashish Bose,Aditya Agarwal,Abhishek Singh Bohra,Gaurav Singh) qualified GATE exam in 2022-2023
Debashish Bose selected for M. Tech program in NIT Karnataka, Surthal

PO, PLO & PSO
i.Practice the engineering skills in the profession of Internet of Things (IoT) to identify and solve contemporary problems. (Foundation)
ii. Exhibit leadership capability with ethical and professional behavior through a lifelong learning attitude. (Lifelong Learning)
iii. Promote Design, Research and Entrepreneurial skills to Support the growth of country economy. (R&D and Entrepreneur)
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Understand the fundamental concepts of Computer Science & Engineering with specialization in IoT and aligned mezzanine technologies.
Design and Integrate hardware and software systems in the areas of IoT with a strong emphasis on lifelong learning to create feasible engineering solutions.
Analyze, Design, Implement, Test and Deploy smart applications related to industry and research for the advancement of society.
Scopein Companies
By pursuing this program, students gain deep knowledge of emerging technologies. They also get exposure to endless career possibilities.
Computer Vision Engineer
Data Analyst
Natural Language Processing (NLP) Engineer
Machine Learning Engineer
Research Scientist
Robotics Engineer
Software Engineer
AI Researcher
AI Developer
Big Data Engineer
Algorithm Specialist
Business Intelligence Developer
You can easily be absorbed in above positions at Organizations like:










