B.Tech CSE

With Specialization in Gen AI with Google

  • Course Level

    Course Level
    Undergraduate

  • Course Fee (Annual)

    Course Fee (Annual)
    INR 3,14,000

  • Duration

    Duration
    4 Years

  • Scholarship

 
about
about
about

A Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with a specialization in Generative Artificial Intelligence (AI) offered in association with Google is an emerging undergraduate program that integrates core computer science principles with advanced studies in AI, focusing particularly on generative models.

 

Eligibility

Pass in 10+2 examination with at least 60% marks in aggregate in 5 subjects.

Eligibility shall be determined on the basis of percentage of aggregate marks in

  • English, Physics & Mathematics
  • One subject out of Chemistry, Computer Science, Biology or Biotechnology and
  • One subject with the highest score out of the remaining subjects
 

Programme Highlights

  • First in Haryana and Second in India to offer B.Tech. Generative-AI with Google
  • ChromeOS & Gemini AI lab for Hands on Practice and research in collaboration with Google.
  • Certified Digital Campus on Google Cloud (DCGC 2.0) with advanced digital tools and Generative AI capabilities modernizing teaching and learning in classroom
  • Industry Ready curriculum from Google
  • Access to free Google certification courses and badges
  • Access to Placement Fairs by Google for students with various Google certifications
  • Opportunities for students to engage in research projects, hackathons, internships, expert sessions etc. fostering a culture of innovation and exploration.
  • Google Certified Faculty for Curriculum Delivery
 

Career Path

  • Generative AI Engineer
  • Machine Learning Engineer
  • AI Research Scientist
  • Data Scientist
  • Natural Language Processing Engineer
  • AI Product Engineer
  • Computer Vision Engineer
 

Programme Outcomes (PO’s)

PO 1

Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and Generative AI to develop to the solution of complex engineering problems.

PO 2

Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

PO 3

Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

PO 4

Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

PO 5

Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

PO 6

The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

PO 7

Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

PO 8

Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO 9

Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO 10

Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO 11

Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context.

 

Program Specific Outcomes (PSO’s)

The graduates will be able to:

PSO 1

Design and develop computer programs and possess acquaintance with emerging technologies and open-source platforms in the area of mobile app development, artificial intelligence, machine learning, web development, data analytics, cloud computing, networking , cyber security , gaming and animation to build effective computer-based systems.

PSO 2

Acquire technical competency to deliver computer-based innovative and effective solutions to tackle business and societal challenges, for pursuing successful career, entrepreneurship, research and higher studies.

 

USPs

  • Innovative Program with Industry Collaborations – Co-designed, Co-delivered and Co-certified with Google
  • Industry Standard Tools - Experience on Google Cloud QwikLabs for Gen-AI courses and Open Source software used in labs are according to industry standards
  • Learning by Doing - Hands on experience associated with all courses through Labs and Projects
  • Project Based Learning - Students exposed to Project Based Learning on real-life problems
  • Choice Based Credit System - Flexibility to choose from the prescribed courses.
  • Employability Augmentation - Placement initiatives of MRU by tying up with world's leading assessment companies
  • Research Computing Cluster for students - Innovation support in the process of conceptual thinking ,learning and innovation
  • Expert Talks - Expert are invited from the various industries to share knowledge and experiences.
  • Alumni Talks - Inviting the prominent alumni to share the stage briefing on their area of specialization, expertise and opportunities
 

Benefits

  • Specialized Knowledge in Generative AI: Students gain in-depth expertise in Generative Adversarial Networks (GANs), large language models (LLMs), diffusion models, and other generative techniques.
  • Skill Development in Modern Tools and Frameworks: Students learn to use industry-standard tools and frameworks such as: TensorFlow, PyTorch, Keras, OpenCV, Scikit-learn, and GAN libraries oetc on QwickLabs - Google Cloud Platform
  • High Demand in Industries: Companies are actively hiring specialists in generative AI to work on tasks like content generation, simulation, creative design, and synthetic data production.
  • Strong Career Prospects: The demand for generative AI specialists is growing rapidly, with diverse roles such as:
    • Generative AI Engineer
    • AI Research Scientist
    • Machine Learning Engineer
    • Synthetic Data Specialist
    • Creative Technologist
    • AI Solutions Architect
  • Research and Advanced Studies: Graduates can explore advanced studies such as M.Tech, MS, or Ph.D. in AI, Generative AI, or related fields, contributing to the future of AI research.

 

FAQs

Department of Computer Science & Technology offers:

  • Ph.D. in Computer Science – Minimum duration for submission of Ph.D. thesis is three years, including coursework and a maximum of six years.
  • M.Tech Computer Engineering – It’s a full time 2 years degree program.
  • B.Tech Computer Science & Engineering – It’s a full time 4 years degree program.
  • B.Tech Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning, in collaboration with Xebia – It’s a full time 4 years degree program.
  • B.Tech. Computer Science & Engineering with specialization in Cloud, DevOps & Automation, in collaboration with Xebia – It’s a full time 4 years degree program.
  • B.Tech in Computer Science & Engineering (specialization in Cyber Security & Threat Intelligence) in association with Quick Heal- It’s a full time 4 years degree program.
  • B.Tech in Robotics & Artificial Intelligence Engineering.- It’s a full time 4 years degree program.

All programs offered by the DoCST follow Choice Based Credit System (CBCS) where a student has the flexibility of choosing courses of his choice and interest. The department offers a large basket of electives that lead to distinctive specialization. Our major differentiators are:

  • Our teaching pedagogy focuses on “learning-by-doing” which aims to bridge the gap between industry and academia.
  • Incorporation of new technology in the curriculum aims to bridge the gap of skilled manpower requirements. Focused industry ready syllabi with each vertical defined in the curriculum aims to create a platform for specified fields (Cloud Computing, BigData, Neural Networks, Business Analytics, Apps Development, Web Development).
  • Computer lab components added to all MRU courses ensure that the student is involved proactively in the learning by doing approach.
  • The department has collaborations with many external organizations like Infosys, Microsoft, AWS, Quickheal, Xebia who work in association with the departments to impart education to the students on cutting edge technology.

Yes, DoCST has collaboration with following industries:

  • Xebia
  • Quick Heal
  • Microsoft
  • AWS
  • Infosys

At MRU, the core faculty comprises distinguished academicians (PhD, GATE, NET qualified) from the best institutions and leading professionals from the corporate world with rich industry and research experience. DoCST uses STEP (Simulated Teaching EnabledProgrammes) methodology which adds dynamism to the teaching methodology implicating the “tools” that further provide the hands on practice for progressive, consolidated learning and implementation, with excellent pedagogic techniques like teaching through demonstration, analogies, case based learning, scenario playing, depicting the concepts through flash movies, role plays etc.

The Department uses Windows, Linux, Cloud based platforms and virtualization techniques for instruction (Labs) and course assignments. We provide numerous computing facilities for our students, faculty, and staff. The department offers extensive computer labs in the different areas of computing. The student-computer ratio in the lab is 1:1 and the faculty-student ratio in the computer lab is 1:15 which aims to facilitate our learning by doing pedagogy.

Some of the major achievements are highlighted below:

  • Karan Aditya Ghosal (KPMG Canada), 60 Lakhs (international Placement).
  • Ananya Kamra (Alto Palo Networks) 51 Lakhs.

3 international Placements in 2023:

  • Karan Aditya Ghoshal KPMG, Canada 60.
  • Sarthak Rastogi, Space and Time Labs, Newport Beach, California, United States, 55 LPA.
  • Deepanshu Sharma équipe Nutrition Canada 30.
  • Ms. Charu Goyal, Mr. Aditya Sharma, Mr. Ansh Ohri, Mr. Simar Jyot Singh Narang and Drishti kemni have been awarded with Certificate of Participation, Young Professionals - Women in Engineering Congress 2022 (DSSYWC’22), Organized by IEEE Delhi Section 2022
  • ASHWANI SONI,has been awarded BVICAM’ Coding Challenge 2022, Organized by Bharatiya Vidyapeeth Institute of Computer Application and management (BVICAM)
  • Parul Taneja, Minhjul Hossain, Parikshit Sharma and Ravi Prakash, B.Tech CSE 4th year students achieved 3rd position, Bronze Medals, Cash Prize of 5000/- and goodies at HackPhoria, 24 hrs Hackathon organized by Bennett University on 14 – 16 Feb 2020.
  • Parikshit Sharma, Ravi Prakash, Shivam Shukla and Shiv Kumar, B.Tech CSE 2nd year students secured 1st position in Hackrcdu with Certificates, Cash Prize of 8000/- organized by Hackrcdu, Hackathon in Ramanujan college (DU) on 27th feb and 28th feb 2020.
  • Parikshit Sharma, Ravi Prakash, Shivam Shukla, Shiv Kumar, students of B.Tech CSE 3rd year as Team +impact wins first position at ‘HackRcdu’ Hackathon and cash Prize of 8000/- with goodies on 7th March 2020 at ‘HackRcdu’, a Hackathon held at Ramanujan college, University of Delhi.
  • Karan Rajoria. B.Tech CSE student of 3rd year was Selected as “Industrial Relation Coordinator” Member of “Delhi Section Student Network Team” IEEE Delhi Section on 27 May 2020.
  • Varun Prakash, Raghav sagar, B.Tech CSE DSML specialization students of 3rd year presented a Research Paper on “When Cartoon Meets Anime Distinguishing Animation Styles ith Convolutional Neural Networks” (Online) Paper Presentation at ICIEM 2020 (Scopus Indexed IEEE conference) organized in collaboration with IEEE UK and Ireland Section on 18 June 2020.
  • Niharika. B.Tech CSE 4th year reaches the Semi Final Round of Re Think Tank Session, organised by QS I Gauge on 10 June 2020.
  • Minhajul Hossian, B.Tech CSE student of 4th selected to become one of the mentors for the Garuda Hacks event on 14 – 16 August 2020 event organized by Garuda Hacks Indonesia’s Premier Global Hackathon.
  • Rishabh Dhiman, Mrinmoy Mitra, Aayush Singh, Deepak Bhardwaj, Vishakha Tyagi and Aman Gupta, B.Tech CSE students of 4th Sem received 1st position, winner under SW category for MK206 problem statement of Ministry of Rural development in Smart India Hackathon 2020 and 1 lkh prize money on 4th Aug 2020.
  • Students of B.Tech CSE, Mukul Singh and Parul Taneja, participated in an international competition ‘YASH 2020′ organized by the Foundation of Global Science Initiatives (FGSI) and won ‘Silver Medal’ in the category of master age group on 16-18 January 2020.
  • Team1:Karan Aditya Ghoshal, Prince Kaliraman, and Deepak Rana; Team2: Ashwani and Yatharth, B.Tech CSE students, participated in an international competition ‘YASH 2020 organized by the Foundation of Global Science Initiatives (FGSI) and won ‘Silver Medal’ in the category of master age group on 16-18 January 2020.
  • Co-Founders of Zenith Vipers &Workolab, Ensure Equity: Yuvraj Bhardwaj &Yashraj Bhardwaj are Co-Founders of Zenith Vipers &Workolab, Ensure Equity. They are 18 years old Researcher & Entrepreneur and own 22 Research Projects, and also have 7 patents on their name. They have been research collaborate with many institutions. They are also the recipients of Karmaveer Chakra Award 2016 and the winners of SF fellowship 2017. They are among top 30 Young Entrepreneurs across the world by Success Magazine. They are also the youngest Indians to enter the final nominee list of Padma Shri 2018. They got “The Eagle Award” from Government of Malaysia, which is one of the highest award in Malaysia by Government on 2017 Independence Day.
  • Global Science, Technology & Innovation Conference (G-STIC) 2017: Akanksha Ahuja, student member Atmospheric and Environmental Sciences Cluster) participated in the Global Science, Technology & Innovation Conference (G-STIC) 2017. She emerged as one of the top three winners in the Student Challenge category all over the world. She has now been invited to participate in G-STIC 2017 being organized in Brussels from 23 to 25 October to present her idea.
  • Google Summer of Code 2017 internship: Kartik Sibal, B.Tech CSE has successfully completed Google Summer of Code 2017 internship, contributed to the open source project “AboutCode” and received 2400 USD.

There are various positions for which a Computer engineer can apply in most of the software companies. Some of the positions are:-

  • Application Developer
  • Database Administrator
  • Business Systems Analyst
  • Data Analyst
  • Database Manager
  • Mobile Apps Developer
  • Game Developer
  • Enterprise Architect
  • Hardware Designer
  • Network Administrator
  • Mainframe Systems Manager
  • Project Manager

  • DT Consultant
  • Data Architect
  • Cloud Developer
  • Full Stack Developer
  • Test Automation Engineer
  • Cloud Administrator
  • DevOps Engineer
  • Frontend Developer

  • Data Scientist
  • Data Engineer
  • Business Analyst
  • Data Analyst
  • AI/ML Engineer
  • Business Intelligence Engineer
  • Research Scientist

  • Information Security & Risk Analyst
  • Junior Cyber Security Analyst
  • Infosec Analyst and Trainer
  • Internal Auditor
  • Sales – Cyber Product and Services.
  • IT Support

  • Along with the prospects of a high salary, it provides the opportunity to learn cutting-edge technology and achieve tremendous growth.
  • Robotics engineer
  • RPA Engineers
  • Computer Scientists
  • User interface Engineer
  • Control engineer
  • Automation Engineers
  • Design engineer
  • Industrial and process control Engineer
  • Aerospace Engineer

Yes, the department is offering an ITR (Introduction to Research Course) course in the initial years of the program and the department also has area specific research groups. Students can get connected with these groups and reach out to faculty members whose research area they find to be intriguing, to pursue their research work at undergraduate level. Various students’ Research clusters are formed in following areas:

  • Data Analytics And Big Data Architecture
  • Architecture And Analysis Of Communication Network
  • Artificial Intelligence
  • Emerging Web Technologies And Applications
  • Data Mining
  • Network Securities

The office of Dean Students offers various social/ cultural societies and technical committees. Our students are associated with social clubs like Jeevandayni, Rotary Club, Lion’s Club and Red Cross Society, involved in different social services like blood donation camps and relief camps. Department has formed student branches in association with different technical societies like IEEE, ISTE and NPTEL. The student branches are regularly organizing competitions and technical events at the regional and national level.

Yes, MRU degree is as good as the one awarded by any central or state university. A Bachelor degree holder from MRU can also apply for higher studies in any of the Indian or overseas universities.

A student shall be required to have a minimum attendance of 75% in a course to be eligible for appearing in the end semester examination.

There is a scholarship policy at Manav Rachna for Sports persons and meritorious students, Refer the scholarship page for more detail .

According to AICTE guidelines the minimum credit requirement for graduating from MRU in B.Tech CSE course is 160 and B.Tech CSE with specialization is 180 and B.Tech in Robotics & Artificial Intelligence Engineering 30 .

(a) Completion of Minimum Credits:

As specified in the curriculum, completion of minimum credits of the program shall be the condition for the award of the degree. These credits should be earned under different categories as follows:

  • All core courses as defined in curriculum scheme;
  • All University mandatory courses;
  • All summer trainings;
  • At least two electives offered by parent department;
  • At least one elective offered by other engineering department;
  • At least one elective offered by sciences (Mathematics/Physics/Chemistry etc.) Department
  • At least one elective offered by Department of Humanities;
  • At least one elective by the Management Department.

(b) Lower and Upper Limits for Credits Registered:

A student must register for a minimum of 14 credits and a maximum of 29 credits in a semester. The minimum credits registered should include at least 2 courses under the category of hard courses which can be core or elective with first preference to core.

(c) Credits Earned at Different Universities / Institutes:

Provision shall be made for acknowledgement of credits earned by a student through coursework/project work/internship.

Yes, the department has Area specific research groups & clusters that have been formed and students can become connected with these groups by reaching out to faculty members whose research area they find to be intriguing. The student’s research clusters are:

  • Data Analytics And Big Data Architecture
  • Architecture And Analysis Of Communication Network
  • Artificial Intelligence
  • Emerging Web Technologies And Applications
  • Data Mining
  • Network Securities

Lab facilities and expert faculty members are available to guide the students in the areas like Speech Processing, Machine Learning, Computer Vision, Pattern Recognition, Image Processing, Soft Computing, Big Data, Software Engineering, Data Mining, Robotics, Cloud Computing, Network Security, Open Source Technologies etc.

Completion of a minimum of 90-100 credits, including all core courses, as specified in the curriculum scheme; successful completion of summer training; and successful completion of all stages of dissertation work shall be the condition for award of degree.

A student must register for a minimum of 14 credits and a maximum of 29 credits in a semester.

A student shall be required to have a minimum attendance of 75% in each subject to be eligible for taking the end semester examination.

Corporate Sector: The Employment opportunities after M.Tech include offers from consulting companies (TCE Consulting Engineers Ltd., Zinnov Research Consulting), Core Engineering Companies (Punj Lloyd, LT ECC), R&D Centers (BARC, ISRO).

Research Development: The opportunity of super-specialization and further studies are always open after completing the M.Tech degree.

The Teaching Profession: After completing M.Tech, there are various jobs available in academic institutions.

MRU now offers teaching assistantship for MTech CSE Students. The selected candidates having more than 70% overall marks or 7.00 CGPA in the qualifying examination shall be provided teaching assistantship on the recommendations of the committee constituted by the Vice-Chancellor of the University.

*The candidate of M.Tech Programme can either avail the above free ship policy for PG programme or Teaching Assistantship.

Fintech, or Financial Technology, is the dynamic and rapidly evolving intersection of technology and finance. It encompasses the use of software, mobile applications, algorithms, and other technological advancements to deliver and improve financial services. This includes everything from mobile banking and online payments to automated investment platforms,and blockchain-based solutions.

While a standard BCA program provides a broad foundation in computer science, this program takes a unique and targeted approach by specializing in the rapidly growing field of Fintech. You'll not only gain core computer science knowledge but also delve deep into the intricacies of financial markets, instruments, and regulations. The curriculum is specifically designed to bridge the gap between technology and finance.

This program is designed to equip you with a comprehensive skill set demanded by the Finance and Technology industry. Programming, Database Management, Financial Analysis, Cloud Computing, Blockchain Technology, Artificial Intelligence.

We strongly believe in providing our students with real-world experience. Our program emphasizes industry partnerships.

Graduates of this program are well-prepared for a wide range of exciting career opportunities within the rapidly expanding Fintech landscape, including:

  • Fintech Developer/Engineer
  • Financial Data Analyst
  • Blockchain Developer
  • Fintech Product Manager
  • Fintech Entrepreneur
  • Fintech Consultant

Student performance is evaluated through a combination of assignments, projects, quizzes, mid-term exams, and a final exam. Projects are an important part of our program as they demonstrate your ability to apply your learning to practical solutions.

Our faculty consists of experienced professors and industry practitioners who are experts in their respective fields. They bring a wealth of knowledge and practical experience in computer science, finance, and the Fintech industry.

A Bachelor of Computer Applications (BCA) in Cloud Computing is an undergraduate program that provides a strong foundation in computer applications, with a specialization in cloud computing technologies. It's designed to equip students with the skills to develop, deploy, and manage applications and infrastructure in cloud environments.

This program is suitable for students who are passionate about technology, enjoy solving complex problems, and are interested in the latest innovations in cloud technologies. If you have a basic aptitude for programming and are curious about the future of computing, then a BCA in Cloud Computing could be a good fit.

The BCA in Cloud Computing program is (3+1) Years as per NEP, a full-time undergraduate degree.

The curriculum is structured to cover:

  • Core Computer Science principles (Programming, Data Structures, Algorithms, Databases, Operating Systems).
  • Cloud Computing Fundamentals (Virtualization, Cloud Architectures, Service Models, Deployment Models).
  • Cloud Platforms and Services (AWS, Azure, Google Cloud Platform).
  • Cloud Security and Data Management.
  • Cloud Application Development and Deployment.
  • DevOps practices.
  • Emerging technologies in cloud computing (Serverless computing, edge computing, etc.)

Graduates will develop both technical and problem-solving skills, including:

  • Programming in cloud-relevant languages (Python, Java, etc.).
  • Designing and managing databases in cloud environments.
  • Understanding of various cloud service models (IaaS, PaaS, SaaS).
  • Designing and deploying scalable cloud applications.
  • Implementing cloud security practices.
  • DevOps tools and methodologies.
  • Problem-solving, analytical and critical thinking skills.
  • Application of AI, data analytics in the cloud domain.

Yes. The program includes hands-on lab sessions, assignments, real-world projects, and internships with cloud companies or departments that help you to learn the concepts effectively, and gain valuable real-world experience.

While prior basic knowledge in computer usage can be helpful, this program is designed to cater to students with or without a background in the computer applications space. The foundational coursework will prepare you for advanced cloud-based concepts.

Graduates can pursue a variety of career paths, including:

  • Cloud Solutions Architect.
  • Cloud Engineer.
  • Cloud Security Specialist.
  • DevOps Engineer.
  • Cloud Application Developer.
  • Cloud Administrator.
  • Cloud Consultant.
  • Cloud Specialist in data analytics or AI/ML.

Yes, the cloud computing sector is experiencing exponential growth, which is resulting in a high demand for professionals with expertise in cloud technology and infrastructure. A BCA in Cloud Computing will help you to get a good job in the space, or will put you in a better position to pursue higher studies in cloud technologies.

Yes, a BCA in Cloud Computing provides a strong base for masters' degrees in cloud computing, data science, software engineering, and other relevant fields.

The students who complete this program shall have an understanding of :

  • The use of cloud platforms and technologies.
  • Deployment of applications on cloud infrastructure
  • Cloud data and infrastructure security.
  • Devops based continuous integration and continuous deployment processes.
  • The process to apply for and proceed with higher studies

The course structure will include core computer science concepts in the initial semesters, followed by specialized courses in cloud computing, network management, security, and data management. The curriculum also includes projects and internships to provide valuable practical experience.

Applicants usually need to have completed high school with a specific minimum percentage 50% avg of 5 subjects, Please check the university website for further details.

The university collaborates with several technology and cloud-based companies, offering students the best opportunities for internships and placements.

This BCA is a specialized program that integrates essential core computer science courses with a specific focus on cloud computing technologies, and has several advantages over a traditional BCA curriculum.

The university’s placement cell provides job search assistance, internship opportunities and career guidance, which makes you more employable in the job market.

B.Tech. CSE (Generative AI) is a four-year undergraduate program that focuses on core computer science concepts along with specialized knowledge in Generative Artificial Intelligence.

Graduates can work in various roles, including:

  • Generative AI Engineer
  • Machine Learning Engineer
  • AI Research Scientist
  • Synthetic Data Specialist
  • Creative AI Developer
  • AI Solutions Architect

Industries such as healthcare, gaming, media, entertainment, robotics, e-commerce, and finance actively hire AI specialists.

Generative AI is poised to transform numerous industries by enabling:

  • Synthetic data generation for machine learning and simulations.
  • Content creation: Text, image, and video generation (e.g., AI art, media tools).
  • Healthcare innovations: Drug discovery, medical imaging synthesis.
  • Automation of design, advertising, and marketing campaigns. The demand for skilled professionals in this area will continue to grow globally.

Pass in 10+2 examination with at least 60% marks in aggregate in 5 subjects. Eligibility shall be determined on the basis of percentage of aggregate marks in

  • English, Physics & Mathematics
  • One subject out of Chemistry, Computer Science, Biology or Biotechnology and
  • One subject with the highest score out of the remaining subjects

  • AI/ML focuses on building systems that learn from data and make predictions or decisions.
  • Generative AI is a subset of AI that focuses on creating new data (text, images, audio, video) that resembles existing data, using techniques like GANs, diffusion models, and transformers.

Graduates in Generative AI are highly valued, with competitive salaries:

  • Freshers can expect ₹6-12 LPA in India (higher in top-tier companies).
  • Experienced professionals in Generative AI can earn much higher based on expertise.

  • This program focuses on an emerging specialization with tremendous demand.
  • Generative AI opens up creative and innovative applications in tech and non-tech industries.
  • Graduates gain a future-proof career in AI, positioning themselves at the forefront of technological advancements.

Compare

Program Name Benefits Fees Job Prospects
B.Tech Computer Science and Engineering Comprehensive understanding of fundamental concepts. Versatile education Ideal for individuals interested software development, systems design Strong base in Algorithms 2,49,000 Wide industry oppurtunities Conduct testing and validation procedures Apply creative thinking to design and improve mechanical systems Global Opportunities for international careers and collaborations
B.Tech (Hons.) in Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning offered in association with Xebia. Specialized knowledge in AI and ML High demand for professionals Solve complex problems. Create intelligent systems 2,95,000 Integrating digital technologies with manufacturing processes Automation System Integration Data Analytics Proficiency Global Manufacturing Competence
B.Tech (Hons.) in Computer Science & Engineering with specialization in FullStack Development offered in association with Xebia. Enables efficient resource utilization cost-effective solutions. Ideal for businesses looking to leverage cloud services Optimised resourses Practical Applicability 2,95,000 High demand for cloud architects, Opportunities in DT Consultant Full-Stack Developer Test Automation Engineer Cloud computing skills Expanding their cloud infrastructure.
B.Tech (Hons.) in Computer Science & Engineering with specialization in Cyber Security & Threat Intelligence offered in association with Quick Heal. Secure software development. Digital Forensic Examiner Focused Expertise Practical Applicability 2,95,000 Cybersecurity professional Forensic Analyst Data driven Priority Oppurtunities in cloud Management Cloud computing skills
B.Tech Robotics & Artificial Intelligence Innovation and Problem Solving Machine Learning Expertise Robotics Design and Development Optimised Resource Practical Appblicablity 2,41,000 Computer Scientists User interface Engineer Control engineer Automation Engineers

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Sector – 43, Aravalli Hills, Delhi – Surajkund Road, Faridabad – 121004, (Haryana), India