B.Tech in Computer Science & Engineering (Hons.)

with specialization in Artificial Intelligence and Machine Learning ( In association with Xebia )

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Course Level
Undergraduate
Course Fee
INR 2,95,000
US $ 4,900
Duration
4 Years
Scholarship

Program Coordinator

Ms. Deepanshi Gupta

Assistant Professor

Specialization in Artificial Intelligence and Machine Learning in association with Xebia

Artificial Intelligence and Machine Learning in association with Xebia is a specialization which is designed to gain working knowledge of various Artificial Intelligence (AI) and Machine Learning (ML) concepts and techniques. The major focus of the programme is to aid the students in gaining the ability to design intelligent solutions to real-time problems. MRU has joined hands with XEBIA to develop this advanced curriculum for developing critical understanding of Statistics and Linear Algebra which are the foundations of AI and ML techniques. The curricula is created with an intent to educate the engineering students on the cutting-edge technologies This courseware is going to teach the engineering students on Mathematical Foundations, Statistical Foundations, Machine Learning, Neural Networks, Applied Artificial Intelligence.

Specialization in Artificial Intelligence and Machine Learning in association with Xebia(Lateral Entry)

Eligibility

Artificial Intelligence and Machine Learning in association with Xebia

Artificial Intelligence and Machine Learning in association with Xebia is a specialization which is designed to gain a practical understanding of various Artificial Intelligence (AI) and Machine Learning (ML) concepts and techniques. The major focus of the programme is to equip the students to acquire the ability to design intelligent solutions to real-time problems. MRU has joined hands with XEBIA to develop this advanced curriculum to focus on developing the critical understanding of Linear Algebra and Statistics that are the foundation of AI and ML concepts.

Eligiblity criteria

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

English, Physics & Mathematics
One subject out of the given list* as per Note- A
One subject with the highest score out of the remaining subjects.

Programme Highlights

Only University in NCR offering such program in collaboration with Industry

Agile classroom for Xebia Specialized courses

Curriculum Design and Course Material by Industry Experts

Tech-Talks, webinars and Seminars by International Experts

Placement Support, Internship Support – Onsite and Remote

Program Objectives

How Google Maps are analyzing your commute time and traffic movement? How can a driverless car navigate its way on the busy roads safely? Today you can see how Siri and Alexa have become an integral part, assisting and maneuvering the way we operate in our day to day life. The core technology behind these wonders is Artificial Intelligence, where Machine Learning is one of the key fields.

The curricula is created with an intent to educate the engineering students on the cutting-edge technologies This courseware is going to teach the engineering students on Mathematical Foundations, Statistical Foundations, Machine Learning, Neural Networks, Applied Artificial Intelligence.

Career Path

Data Scientist
Data Engineer
Business Analyst
Data Analyst

AI/ML Engineer
Business Intelligence Engineer
Research Scientist

Programme Outcomes (PO’s)

PO 1

Engineering knowledge:

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2

Problem analysis:

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

PO 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.

PO 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.

PO 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.

PO 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.

PO 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.

PO 8

Ethics:

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

PO 9

Individual and team work:

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 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.

PO 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.

PO 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 (PSO’s)

PSO1:

Attain the ability to 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 and networking to build effective computer based systems

PSO1:

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.

Specialisations and Their Resources

Artificial Intelligence and Machine Learning in association with Xebia is a specialization which is designed to gain a practical understanding of various Artificial Intelligence (AI) and Machine Learning (ML) concepts and techniques.
Certificate from Xebia along with degree after completion of course.

The various job prospects for the students doing B.Tech. Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning, in collaboration with Xebia are :

Data Scientist
Data Engineer
Business Analyst
Data Analyst

AI/ML Engineer
Business Intelligence Engineer
Research Scientist

USPs

Specially Designed Agile Classroom (1st one in India)
Course Curriculum and E-Course Material prepared by Xebia Experts.
Train the Trainer program for faculty members before the commencement of every semester.
Sessions with Xebia experts during the semester to give the industry perspective of the course delivered.
Common Slack Channel wherein students can directly interact with Xebia experts.
Xebia Industrial Visit during the semester
Remote/Onsite Internship opportunities with Xebia or their clients.
Three Extra Placement opportunities with Xebia or their clients.
Certificate from Xebia along with degree after completion of course.

Agile Teaching Pedagogy:

Teamwork Orientation: Students sit and work in a group.
Academic Performance of groups is visible & transparent on the boards.
Emphasis on project work
Course progress of faculty & students visible on boards.

Benefits

Pursuing a B.Tech in Computer Science and Engineering (CSE) with a specialization in Artificial Intelligence (AI) and Machine Learning (ML) can offer several advantages, given the growing importance of these technologies in various industries.

Here are some benefits of choosing this specialized program:

High Demand for AI and ML Professionals: AI and ML are in high demand across industries such as healthcare, finance, manufacturing, and technology. Specializing in these areas enhances your employability and opens up a wide range of career opportunities.
Cutting-Edge Skills: Gain expertise in the latest technologies and tools used in AI and ML, positioning yourself at the forefront of technological advancements in the field.
Innovation and Research Opportunities: Specialization in AI and ML often involves opportunities for research and innovation, contributing to advancements in the field and potentially leading to breakthroughs in technology.
Competitive Advantage in Job Market: Stand out in the job market with a specialized skill set that is particularly sought after. Many companies actively seek professionals with expertise in AI and ML.
Entrepreneurial Opportunities: Acquire the knowledge and skills to develop your own AI or ML-based projects, potentially leading to entrepreneurial ventures or startup opportunities.
Cross-Disciplinary Collaboration: AI and ML are often integrated into various domains. Specializing in these areas provides the opportunity to collaborate with professionals in fields like healthcare, finance, and autonomous systems.
Salary Potential: Professionals with AI and ML expertise often command competitive salaries due to the specialized nature of their skills and the high demand for these roles.
Contribution to Societal Challenges: Apply AI and ML technologies to address societal challenges, such as healthcare diagnostics, climate modeling, and disaster prediction, contributing to the betterment of society.

Placements

Top Recruiting Companies

Amazon, Nokia, Infosys, Pinkerton, Apple, Boeing, Capital One, Cisco, Federal Reserve Bank of New York, General Motors, Intel, Lockheed Martin, Northrop Grumman, Patient First

Curriculum Details

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B.Tech in Computer Science & Engineering (Hons.)

With specialization in Artificial Intelligence and Machine Learning (In association with Xebia)

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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.

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

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B.Tech Robotics and Artificial Intelligence Engineering

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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