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B.Tech. in CSE (Data Science & Artificial Intelligence) with L&T

Best B.Tech. in CSE (Data Science & Artificial Intelligence) with L&T College in Uttar Pradesh

Overview

Computer Science is no more a branch now, it is a whole new world of emerging technologies that impact our lives. Industry is seeking young engineers who have knowledge of the current technologies and have been trained on them by experts throughout their course work. Data Science and Artificial Intelligence are two such futuristic technologies which will be helping companies manage their data, look for patterns and insights in information, deliver customer experiences, and optimize workflows.

With a vision to create link between theory and practice and making a foundation in computing principles blended with the latest technology and best business practices, SRMU has collaborated with L&T to launch B.Tech. in CSE with Specialization in Data Science & Artificial Intelligence.

Understanding Data Science:

Data Science is a broad field that has data at its core, as the name suggests. This data is accumulated, arranged and analysed to examine its effect on businesses. Companies across all sectors of the industry have huge chunk of raw data which they want to convert in valuable information so that a better product or experience is created for the end customer. The inability of companies to handle these big amounts of data with an increasing need to provide superior and customized business solution is resulting in huge requirement for Data Science Experts.

 Understanding Artificial Intelligence:

Artificial intelligence ultimate goal is to create computer programs that can solve problems and achieve goals just like human beings. Thus, there is a scope in developing machines in gaming, speech recognition, expert systems, robotics and many more. With an increasing demand of businesses to automate their processes, working out big chunks of data quickly and accurately to provide business solutions is creating a growing demand for AI trained professionals.

Ramswaroop graduates get the advantage of gaining most comprehensive practical understanding of these technologies through an exposure to L&T systems. The program is led by expert instructors who go on to expose the students to the fundamentals of NLP, AutoML, Quantum Computing, OLAP models, Cognitive science theory, Augmented reality, NoSQL, Mongo DB and many more.

SRMU is one of the best College for B.Tech. in CSE (Data Science & Artificial Intelligence) in Lucknow, Uttar Pradesh providing endless opportunities in this dynamic world of computing.

Discover our advanced B.Tech. program in CSE specializing in Data Science & Artificial Intelligence at SRMU Lucknow. B.Tech. in CSE Data Science & Artificial Intelligence Admission opens new horizons for aspiring technologists.

NAAC

Accredited

30LPA

Highest Package

100%*

Placement

30%

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?

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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 L&T and university researchers

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Multiple levels of L&T certification

Accredited Campus

Accredited Campus

Nodal Centre

Nodal Centre

Preferred Partner

Preferred Partner

Centre of Excellence

Centre of Excellence

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 Fees35000350003500035000

Alumni Fee: 500

Degree Fee: 1000

Both these fees are payable in the final year of the program

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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Department Highlights

Achievements

  • Dr. Satya Bhushan Verma received National Achievers Award, in National Achievers Awards and Educators Conference 2023, on Hotel Taj Mahal Gomati Nagar Lucknow on 13th August 2023

  • 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

  • Research & Development Lab

  • Cyber Security Lab

Beyond Academics

  • Parv Awasthi has secured top 11 position in in DUEX DANZA, conducted by MANFEST- VARCHASVA ,IIM Lucknow during 10th -12th Feb 2023

  • 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
  1. To impart deep technical knowledge about the field of computer science and engineering.

  2. To develop an understanding of computer science and engineering at different levels of abstraction including computer architecture and design, operating systems, database management, algorithms and applications.

  3. To aware students with a strong foundation in the field of Mathematical and basics of engineering fundamentals necessary to analyze and evaluate real world engineering problems and to further prepare them for higher studies, R&D.

  4. To develop life-long learning attitude among students and to make them aware about professional and social responsibility.

  5. To inculcate an understanding among the students for utilizing their knowledge of computer engineering and mathematical theory to solve current and future computing problems.

  6. To inspire leadership and professional values in the students.


Program Learning Outcomes
  1. Apply possessed knowledge of core subjects of production and industrial engineering to solve different 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 modeling 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 and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics and networking by identifying, demonstrating and analyzing the knowledge of engineering in efficient design of computer-based systems of varying complexity.

  2. Applying algorithmic principles, innovative Computer science and engineering design and implementation skills to propose optimal solutions to complex problems by choosing a better platform for research in emerging areas.

  3. Identify standard Software Engineering practices and strategies by applying software project development methods using open-source programming environment to design and evaluate a quality product for business success.

  4. Demonstrate and examine basic understanding of engineering fundamentals, professional/social ethics and apply mathematical foundations to design and solve computational problems.


Scopein 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.

  • Data Scientist

  • Data Analyst

  • Data 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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Further Study Opportunities

Frequently Asked Questions

B.Tech CSE with specialization in Data Science and Artificial Intelligence is a four-year undergraduate engineering program that combines core Computer Science concepts with advanced technologies such as Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Big Data Analytics, and Cloud Computing. The program prepares students for careers in emerging digital technologies.
Candidates generally need to have completed 10+2 with Physics, Chemistry, and Mathematics from a recognized board. Admission criteria may vary depending on the institution, entrance examination requirements, and applicable regulations.
The curriculum typically includes Programming, Data Structures, Algorithms, Database Management Systems, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Big Data Analytics, Cloud Computing, Python Programming, Computer Networks, Operating Systems, Software Engineering, and Data Visualization, along with industry projects and internships.
The fee structure varies depending on the institution, laboratory facilities, industry collaborations, infrastructure, and academic resources offered. Students should also consider hostel charges, examination fees, training costs, and scholarship opportunities while evaluating the overall cost of education.
Graduates can pursue placement opportunities in IT companies, multinational corporations, startups, research organizations, consulting firms, financial institutions, healthcare technology companies, and analytics organizations. Placement outcomes depend on students' technical skills, internships, certifications, and overall academic performance.
Graduates can work as Data Scientists, AI Engineers, Machine Learning Engineers, Data Analysts, Business Intelligence Analysts, Big Data Engineers, AI Researchers, Software Developers, Cloud Engineers, and Data Engineers across various industries.
Salary depends on factors such as technical skills, employer, job role, location, certifications, and experience. Graduates with strong knowledge of Artificial Intelligence, Machine Learning, Data Science, and cloud technologies often have excellent career growth opportunities in India and abroad.
Lucknow has several institutions offering B.Tech programs in Data Science and Artificial Intelligence. Students should compare curriculum quality, faculty expertise, AI laboratories, industry partnerships, internship opportunities, placement support, and research facilities before selecting a college.
Yes, Data Science and Artificial Intelligence are among the fastest-growing technology domains. With increasing adoption of AI, automation, and data-driven decision-making, professionals with expertise in these fields are in high demand across industries.
This program equips students with knowledge of advanced computing technologies, analytical skills, programming expertise, and real-world problem-solving abilities. It offers opportunities to work in emerging fields such as Artificial Intelligence, Machine Learning, Data Analytics, Robotics, Cloud Computing, and Business Intelligence.

Discover Opportunities, Ignite Your Potential, Be a Part ofShri Ramswaroop Memorial University , Uttar Pradesh

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