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 IBM 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 IBM 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
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Highest Package
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Placement
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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

Modules as per NEP for developing industry required skills

Curriculum developed by the experts from IBM and university researchers

Multiple levels of IBM certification

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

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

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

350+ exclusive learning hours in IBM hub

Opportunities to work on LIVE projects of IBM

Student feedback mechanism for improving learning experience

Host of clubs to provide a platform for creativity

Only campus in the region providing best return on investment

Accredited Campus

Centre of Excellence

Nodal Centre

Preferred Partner

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)	14000	19000	19000	19000
Development Fund	13750	13750	13750	13750
Caution Money	5000
Total Fee	160000	160000	160000	160000
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.

View Details

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

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
IBM 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

To impart deep technical knowledge about the field of computer science and engineering.
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.
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.
To develop life-long learning attitude among students and to make them aware about professional and social responsibility.
To inculcate an understanding among the students for utilizing their knowledge of computer engineering and mathematical theory to solve current and future computing problems.
To inspire leadership and professional values in the students.

Program Learning Outcomes

Apply possessed knowledge of core subjects of production and industrial engineering to solve different 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 modeling 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

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.