B.Tech. CSE (Artificial Intelligence & Machine Learning) B.Tech. CSE (Artificial Intelligence & Machine Learning)
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.

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  • NAAC
    Accredited
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    Highest Package
  • 0
    Placement
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    Students have multiple job offers
Eligibility Criterion

Candidate must have passed 10+2 or equivalent system from any recognized Central/ State Board with Physics and Mathematics as compulsory subjects alongwith one of the Chemistry/Computer Science/Technical Vocational Subject. Candidate must obtained minimum 45% marks or equivalent grade for GEN/OBC and 40% marks or equivalent grade for SC/ST Category in the above subjects taken together.

Why SRMU
Continuous evaluation system providing students several opportunities to improve their grades

Continuous evaluation system providing students several opportunities to improve their grades

Modules as per NEP for developing industry required skills

Modules as per NEP for developing industry required skills

Curriculum developed by the experts from industry and university researchers

Curriculum developed by the experts from industry and university researchers

Multiple levels of industry certification

Multiple levels of industry certification

32 hours of blended teaching hours for every module to meet industry expectations

32 hours of blended teaching hours for every module to meet industry expectations

Sessions and lectures by industry leaders for experiential acquaintance to enhance learning

Sessions and lectures by industry leaders for experiential acquaintance to enhance learning

Industry sponsored labs for providing the best hands-on knowledge exposure

Industry sponsored labs for providing the best hands-on knowledge exposure

Opportunities to work on LIVE projects of IT Companies

Opportunities to work on LIVE projects of IT Companies

350+ exclusive learning hours in industry hub

350+ exclusive learning hours in industry hub

Student feedback mechanism for improving learning experience

Student feedback mechanism for improving learning experience

Host of clubs to provide a platform for creativity

Host of clubs to provide a platform for creativity

Accredited Campus
Centre of Excellence
Preferred Partner
Nodal Centre
Program Fee
Duration (In Year) 1 Year 2 Year 3 Year 4 Year
Tuition Fee 113500 113500 113500 113500
Examination Fee 13750 13750 13750 13750
Other Fees + Training Fee (2nd Yr. Onward) 9000 9000 9000 9000
Development Fund 13750 13750 13750 13750
Caution Money 5000
Total Fee 155000 150000 150000 150000
Hostel Fees + Caution Money (1st Yr. Only) 80000 75000 75000 75000
Transportation 30000 30000 30000 30000
Scholarship
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.
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  • SRMUSET (Shri Ramswaroop Memorial University Scholarship Entrance Test)
  • Merit Based Scholarship
  • CUET Score Based
  • National Entrance Score Based
  • 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
Achievements
Research
  • 100+ Research Papers published in reputed journals
  • 08+ Books and Book Chapters published
  • 05+ Ph.D. Awarded
  • 04+ Patents Granted/ Published
Research
Labs
  • Google Android Lab
  • IBM Certified Lab
  • Artificial Intelligence & Machine Learning Lab
  • Cloud Computing Lab
  • Cyber Security Lab
  • Python Programming Lab
  • Oracle Peoplesoft Lab
Labs
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
Beyond Academics
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
Program Specific Outcomes
Scope
in Companies

By pursuing this program the students will get an in-depth understanding into the modern emerging technologies. They will also get an endless 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:
BHEL
NSDL
NIC
Indian Railways
ISRO
DRDO
UIDAI
NCRB
Weather Department
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Amazon
IBM
Google
Microsoft
Cognizant
TCS
Infosys
INTEL
FACEBOOK
SAMSUNG
Cedcoss Technologies Pvt Ltd
Thought Works
Global logic
Accenture
Sopra Steria
Phronesis
Unicode Systems
SRDT
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Further Study Opportunities