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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.

NAAC

Accredited

30LPA

Highest Package

100%*

Placement

30%

Students have multiple job offers

Why SRMU?

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Continuous evaluation system providing students several opportunities to improve their grades

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Modules as per NEP for developing industry required skills

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Curriculum developed by the experts from industry and university researchers

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Multiple levels of industry certification

Accredited Campus

Accredited Campus

Centre of Excellence

Centre of Excellence

Nodal Centre

Nodal Centre

Preferred Partner

Preferred Partner

Program Fee

Duration (in Year)1 Year2 Year3 Year4 Year
Course fee170000170000170000170000
Student Welfare Fund100100100100
Caution Money5000000
Total Fee175100170100170100170100
Hostel Fees + Caution Money (1st Yr. Only)85000800008000080000
Transportation Fees33000330003300033000

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.

  • check iconSRMUSET (Shri Ramswaroop Memorial University Scholarship Entrance Test)
  • check iconMerit Based Scholarship
  • check iconStudents Opting For Career Progression
  • check iconWard of Defense Persons/ Central Government/ State Government Employees
  • check iconWard of Martyrs
  • check iconFor National/ State Level Sportsperson
  • check iconBlood Relatives of Staff and Students of Ramswaroop Group
  • check iconDivyang & Female Candidates
  • check iconEWS (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

PO, PLO & PSO


Program Objectives

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)


Program Learning Outcomes
  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

  2. Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

  3. 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.

  4. 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.

  5. 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.

  6. 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. 

  7. 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.

  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

  10. 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.

  11. 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.

  12. 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.


Program Specific Outcomes
  1. Understand the fundamental concepts of Computer Science & Engineering with specialization in IoT and aligned mezzanine technologies.

  2. Design and Integrate hardware and software systems in the areas of IoT with a strong emphasis on lifelong learning to create feasible engineering solutions.

  3. 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:

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