Undergraduate
Duration 4 Years
Manav Rachna University's B.Tech in Computer Science and Engineering (CSE) is an equilibrium program that concentrates on developing a sound foundation in computer science engineering with specialization in Artificial Intelligence & Machine Learning (AI & ML). The course integrates theory with existing technologies to churn out competent professionals who can tackle and solve actual technological issues. The syllabus consists of a series of topics, starting from core data structures and algorithms to specialized topics such as deep learning, neural networks, and machine learning algorithms.
Since the AI and ML technologies are improving with speed, this program enables the students with experience in newer AI techniques and apply them to the fields of healthcare, finance, and cybersecurity. The students become appropriate candidates for many different types of jobs such as AI engineers, data scientists, and ML researchers.
Programs Offered:
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Alumni Imprints Globally
Published Research Papers
MNC's & Indian Corporate Recruit
Patents (Filed/Granted)
Global Academic Collaborations
Alumni & In-Campus Startups
Countries with Footprints
Highest CTC Offered
To be eligible for the B.Tech CSE with AI & ML program at Manav Rachna University, candidates must fulfill the following criteria:
Selection Criteria
Scholarship Opportunities
Manav Rachna offers 100% scholarships under the Utkarsh and Uttam Scholarship Program to encourage excellence in learning, specifically for students who perform exceptionally well in JEE.
NBA Accreditation (2023)
NAAC A Accreditation
Outcome-Based Education
Industry-Centric Co-designed and Co-certified Course Curriculum
Choice-Based Elective Baskets with a Multidisciplinary Approach
Continuous Guidance and Mentorship from Industry Leaders
Seamless Integration of Experienced Faculty
Hands-On Lab Workshops, Programming Tools, and Languages Covered
Emphasis on Learning New Algorithms and Developing Them for Real-World Applications
Interdisciplinary Projects, Electives, and Internships
Strong Industry Associations with Google Cloud, Xebia, LinkedIn Learning, MongoDB, UiPath, Infosys SpringBoard
Access to LinkedIn Learning Licenses and GitHub Accounts to Foster Innovation and Collaboration
Alumni Connect Initiative
Focus on Project-Based and Experiential Learning
Active Associations with Professional Bodies like IEEE
Promotes Design Thinking & Innovation and Acts as a Research & Innovation Catalyst
Manav Rachna University B.Tech CSE with AI & ML is not just to provide enhanced learning to the students but also to expose the students to the industry so that industry-ready and pragmatic relevance-enabled students are available. Industry partners to the program ease the learning process by exposing to the emerging technologies, tools, and professional vistas of Artificial Intelligence and Machine Learning.
Industry Partnerships
The program has forged excellent alliances with global technology monsters that expose the students to the latest technology and business procedures. The alliances are:
These collaborative efforts expose students to actual problems, access to newer technologies, and industry-based skills that prepare them to face the competitive job market.
Career Opportunities
Career opportunities for B.Tech CSE with AI & ML students are broad and range across industries like technology, healthcare, finance, and cybersecurity. The huge demand for professionals in AI makes our course pass-outs extremely valuable to top MNCs and companies globally.
Some of the most remarkable career roles among our alumni are:
The increasing need of AI and ML across different industries makes it highly remarkable for those who have their background in the field of AI, data science, and cybersecurity. Google, Amazon, Facebook, Microsoft, and IBM are some of the organizations which are currently hiring AI and ML professionals. Other than these organizations, scope is in the hands of students for start-ups, consultancy firms, and companies which manage innovation for AI.
Global Opportunities
Internships play a key role in providing students with real-world experience. The B.Tech in AI & ML program offers multiple opportunities for internships, with guidance and placement support from the Career Development Cell (CDC).
Internships are available in top tech firms like Google, Amazon, Microsoft, and IBM, providing students with hands-on exposure to advanced AI and ML projects. These internships allow students to apply the knowledge gained during the course and learn industry-specific practices.
Course Fee (Annual): INR 2,88,000 US $ 4900
Duration: 4 Years
Modes of Payment
We at Manav Rachna Educational Institute (MREI) offer generous residential facilities and convenient transportation services so that each student, including those studying B.Tech CSE and Computer Science and Engineering, gets to enjoy a safe, comfortable, and fulfilling campus life.
MREI provides on-campus and off-campus hostel facilities for boys and girls with various types of rooms. Students can choose single, double, and triple rooms as per their preference. The hostels are designed to cater to the needs of students studying courses like B.Tech CSE and others.
Key Points
Room Types: The hostels offer different types of rooms to suit different budgets and preferences:
Fee Structure: The hostel fee is to be paid on the basis of the room category chosen by the student and it can be paid through DD (Demand Draft) or in cash.
Additional Facilities:
At Manav Rachna, we offer world-class sports facilities to keep our students fit and active. Our facilities comprise a range of outdoor and indoor games, including:
Mess plan also comes as part of hostel fee. Healthy food is served through the mess considering the multicultural requirements of different food habits for the students. By providing choices involving vegetarian as well as non-vegetarian options, healthy lifestyle is available for the students enabling them to pursue their studies focusing on their B.Tech CSE or any other programs with full seriousness.
Notable facilities include:
The facilities enable B.Tech CSE students to pursue physical exercises that complement their academic development.
Laundry facilities are available at an extra fee in the hostel fees. This saves students from worrying about laundry, so they can focus on their studies, and also allows their clothes to remain properly cleaned.
There is a vast parking space facility available for students who commute using their own means of transport. It is provided to cater to the requirements of students, e.g., who are studying B.Tech CSE or other engineering programs, so that their travel will be easy and hassle-free.
Our well-maintained transport facility offers a stress-free, secure, and safe journey for students from Delhi and Gurugram. The GPS-located, contemporary fleet of buses is operated by professionally trained personnel, with onboard support staff to assist students. Our emphasis is on reliability, safety, and convenience, ensuring unproblematic travel to and from the campus.
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Log in to www.manavrachna.edu.in and click on the Admissions link.
Click on "Apply Now," generate your login credentials, and fill out the form with your personal, educational, and contact information.
Fill in the application by paying online using net banking, debit/credit card, or UPI.
Get qualified through MRNAT (Manav Rachna National Aptitude Test) or produce a valid JEE Main score for merit-based admission.
Program Outcomes (PO's)
The B.Tech in AI & ML program aims to achieve the following Program Outcomes (POs), which describe the knowledge, skills, and attitudes that students are expected to develop by the end of the program:
Engineering knowledge
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
Problem Analysis
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
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. (WK5)
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. (WK8).
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. (WK2 and WK6)
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. (WK1, WK5, and WK7).
Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Individual and Collaborative Team work
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
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 documentatio.
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.
Life-long Learning
Recognize the need for, and have the preparation and ability for
Program Specific Outcomes (PSO's)
The B.Tech in AI & ML program focuses on the following specific outcomes:
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, networking, cyber security, gaming and animation to build effective computer-based systems.
PSO2:
Acquire technical competency to deliver computer based innovative and effective solutions to tackle business and societal challenges, for pursuing a successful career, entrepreneurship, research and higher studies.