B.Tech CSE (Hons.) (Lateral Entry) - Artifical Intelligence and Machine Learning (In association with Xebia)

Q: What is B.Tech CSE (Hons.) with Specialization in Artificial Intelligence and Machine Learning (Lateral Entry)?

The B.Tech CSE (Hons.) program, specializing in Artificial Intelligence and Machine Learning (Lateral Entry), is a 3-year degree. It's tailored for diploma holders and B.Sc. graduates, letting them join at the second-year level. The program combines core computer science with a deep dive into AI and ML. It equips students to develop smart systems, handle practical data, and build prediction models.

Q: What are the benefits of studying B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry)?

The program boasts several advantages, featuring a concentrated curriculum on popular technologies such as machine learning, neural networks, and deep learning. Students get practical experience via projects, internships, and industry insights. The lateral entry pathway allows them to save a year of study while getting thorough knowledge, thus enabling quicker job readiness in this competitive area.

Q: What is the B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry) salary?

Entry-level salaries for those with this specialization typically fall between ₹4 LPA and ₹8 LPA. The actual amount depends on things like skills, previous internships, and the specific job. With experience and mastery of tools and technologies such as Python, TensorFlow, and data analysis, people in this field can earn much more. This can be achieved in roles such as AI Engineer, Machine Learning Specialist, or Data Scientist.

Q: What are the subjects in B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry)?

The program covers fundamental computer science areas like Data Structures, Algorithms, and Operating Systems, alongside specialized modules such as Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Data Mining, and Computer Vision. Hands-on labs and project-based learning are a key component of the course.

Q: What is the future scope of B.Tech CSE (Hons.) with Specialization in AI & ML (Lateral Entry)?

The future potential is extensive and expanding quickly. As industries embrace AI-based solutions, those with degrees can find employment in fields like IT, healthcare, finance, robotics, and online retail. Jobs such as AI Developer, Data Scientist, ML Engineer, and Automation Expert are highly sought after, both domestically and internationally. Further education and research roles also present attractive career possibilities

Q: Does the university offer placement support for B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry)?

Manav Rachna assists with job placements via its Corporate Resource Centre. The university works with leading tech firms and new ventures, offering many placement openings. Students get training in soft skills, resume writing, and technical interview practice to boost their job prospects.

Q: What is the highest package offered in B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry)?

Students specializing in AI and ML can potentially receive a top salary package of up to ₹24 LPA. The actual amount varies based on the recruiting company and the student's skill set. High compensation opportunities are frequently available from multinational corporations, research institutions, and tech companies developing products, provided the student excels.

Q: How can I apply for B.Tech CSE (Hons.) with Specialization in AI and ML (Lateral Entry) at Manav Rachna?

You can apply online via the official Manav Rachna University admissions website. Check that you satisfy the eligibility requirements, such as having a pertinent diploma or a B.Sc. degree. Finish the registration process, enter your academic information, upload the necessary documents, and pay the application fee. Admission decisions rely on merit and university policies.

Q: What is the salary of BTech in Computer Science Artificial Intelligence and Machine Learning?

Graduates specializing in AI and ML from B.Tech in Computer Science Engineering can expect competitive salaries. Entry-level positions in India often range from ₹6,00,000 to ₹10,00,000 per annum. Experienced professionals working at top tech companies like Google, Microsoft, and Amazon can earn between ₹12,00,000 to ₹20,00,000 or more annually. Specialized roles in deep learning, NLP, and computer vision have even higher earning potential. Globally, salaries vary by region but remain lucrative due to high demand for AI and ML experts.

Q: What is B Tech CSE with Artificial Intelligence and Machine Learning?

B Tech CSE with AI and ML is a specialized program that combines core computer science principles with advanced topics in artificial intelligence and machine learning. Students learn algorithms, data analytics, neural networks, deep learning, and automation technologies. The program prepares graduates for careers in data science, AI research, software development, and other cutting-edge technology roles in various industries.

Undergraduate
4 Years
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Admission Open for 2026

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Programme Overview

B.Tech (LE) CSE (Hons.) with specialization in Artificial Intelligence & Machine Learning in association with Xebia is an emerging undergraduate program that integrates core computer science principles with advanced studies in AI, enabling them to tackle real-world challenges through innovation, fostering skills in AI applications across various industries.

Specializations

Students enrolled in the B.Tech Computer Science and Engineering (Hons.) programme can choose from the following specializations:

Artificial Intelligence & Machine Learning (in association with Xebia)
Full Stack Development (in association with Xebia)
Cyber Security & Threat Intelligence
Generative AI

Programme Details

Duration: 4 yrs. (8 Semesters)

This is a four-year undergraduate programme leading to a B.Tech degree in Computer Science and Engineering (Hons.) with a specialisation in Full Stack Development.

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Key Educational Benefit

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.

41,000+

Alumni Imprints Globally

2800+

Published Research Papers

600+

MNC's & Indian Corporate Recruit

250+

Patents (Filed/Granted)

120+

Global Academic Collaborations

80+

Alumni & In-Campus Startups

60+

Countries with Footprints

60 LPA

Highest CTC Offered

Eligibility

60% marks in Diploma in Engineering in any branch/discipline of 3 year duration from State Board of Technical Education, Haryana or equivalent examination or B.Sc. Degree from a recognized University as defined by UGC with at least 50% marks and passed XII standard with Mathematics as a subject

Admission Criteria

Candidates will be shortlisted based on their performance in MRNAT 2025 or the marks obtained in their qualifying diploma examination.

Nationality

Open to Indian nationals, NRIs, PIOs, and foreign applicants.

Selection Criteria

Candidates will be shortlisted based on their performance in MRNAT 2025 or marks obtained in the qualifying diploma examination.

Programme Highlights

NBA Accreditation: 2023
The programme is accredited by the National Board of Accreditation, ensuring academic quality and industry relevance.

NAAC A
Manav Rachna University is accredited with an 'A' grade by NAAC, reflecting high standards in education and infrastructure.

Outcome-Based Education
Focuses on clearly defined learning outcomes to ensure students are industry-ready.

Industry-Centric Co-designed, co-delivered and co-certified course Curriculum
Built in partnership with top tech companies to align coursework with current industry practices.

Offers choice-based elective baskets with a multidisciplinary approach
Students can tailor their learning by selecting electives from various tech domains and emerging fields.

Continuous guidance and mentorship from industry leaders
Regular sessions and mentoring by experts help students align their goals with real-world expectations.

Seamless integration of experienced faculty, regularly trained by industry experts to deliver cutting-edge curriculum
Faculty members undergo continuous training to keep pace with evolving technologies.

Hands-on lab workshops, programming tools, and languages covered
Practical sessions help students master tools and languages used in real-world development.

Emphasis on learning new algorithms and developing them for real-world applications
The curriculum includes algorithm design and problem-solving relevant to current tech challenges.

Interdisciplinary projects, electives, and internships
Encourages collaboration across domains through projects and internship opportunities.

Strong industry associations with Google Cloud, L&T Edutech, Xebia, LinkedIn Acadview, and more
Strategic partnerships provide students with access to certifications, tools, and tech support.

Access to LinkedIn Learning licenses and GitHub accounts to foster innovation and collaboration
Students receive hands-on learning resources and version control tools for better project development.

Alumni Connect initiative to leverage the power of networking, experience-sharing, and placement support
Builds strong alumni relationships to aid current students in guidance and job opportunities.

Focus on project-based and experiential learning
Students learn by doing, with an emphasis on solving real-world problems through projects.

Active associations with professional bodies like IEEE, ICT Academy etc.
These memberships offer opportunities for conferences, research, and professional growth.

Promotes Design Thinking & Innovation and acts as a Research & Innovation Catalyst
Encourages creative problem-solving and supports student-led research initiatives.

Curriculum

Semester 3

Object Oriented Programming Using Java (CSH201B-T) & (CSH201B-P)

Database Management System (CSH202B-T) & (CSH202B-P)

Software Engineering (CSH207B-T) & (CSH207B-P)

Discrete Mathematics (MAH104B-T) & (MAH104B-P)

CO1: Describe sets, relations, POSETs, and lattices; solve ordering problems.
CO2: Apply counting techniques to combinatorial problems.
CO3: Use propositional/predicate logic and explain algebraic structures.
CO4: Simplify Boolean functions using Boolean algebra and K-maps.
CO5: Analyse graphs and trees to solve related problems.
CO6: Write basic programs using loops for mathematical problem solving.

User Interface-II (MongoDB, TypeScript, AngularJS) (CSW203B)

French-I (FLS103)

CO1: Exchange greetings and introduce oneself in formal/informal settings.
CO2: Use basic vocabulary for everyday communication.
CO3: Describe people, places, and objects using simple discourse.
CO4: Present information about familiar topics confidently.
CO5: Justify opinions using basic verbs and expressions.
CO6: Describe locations and self using simple French vocabulary.

German-I (FLS102)

CO1: Use greetings and self-introduction in various social contexts.
CO2: Form simple sentences using familiar vocabulary.
CO3: Understand audio details in familiar topics with support.
CO4: Discuss preferences and engage in simple conversations.
CO5: Identify cultural differences between German-speaking and native cultures.
CO6: Describe locations and personal details in German.

Spanish-I (FLS101)

CO1: Exchange greetings and frame basic questions and answers.
CO2: Construct sentences using everyday vocabulary.
CO3: Use numbers and apply them in conversation.
CO4: Identify audio details and describe people or places.
CO5: Read, interpret, and express views on Spanish texts.
CO6: Describe locations and experiences using Spanish vocabulary.

Professional Competency Enhancement-I (CDO201)

Introduction to Research (RDO501)

CO1: Understand the concept and value of research.
CO2: Identify research areas and related processes.
CO3: Use tools for literature review and analysis.
CO4: Finalise specific research topics and mentors.
CO5: Adopt ethical practices in research work.
CO6: Work collaboratively in research teams.

Indian Constitution (LWS324)

Supervised Learning (CSH212B-T) & (CSH212B-P)

Modern Web and Mobile Frameworks (CSH211B-T) & (CSH211B-P)

CO1: Apply development standards and frontend knowledge to new architectures.
CO2: Design responsive interfaces using HTML, CSS, and JavaScript.
CO3: Build client-server apps using Node.js.
CO4: Create cross-platform apps using React.js and Vue.js.
CO5: Describe components used in full-stack applications.
CO6: Evaluate performance of developed applications.

Linux+

Semester 4

Artificial Intelligence (CSH205B-T) & (CSH205B-P)

CO1: Acquire and remember knowledge of basic Prolog concepts.
CO2: Understand AI techniques and apply solutions to AI problems.
CO3: Learn and apply various searching algorithms.
CO4: Apply knowledge representation techniques.
CO5: Understand reasoning, planning, and learning techniques in AI.
CO6: Analyse the role of AI in real-world applications and current trends.

Operating Systems (CSH206B-T) & (CSH206B-P)

Fundamentals of Digital Electronics (ECH223B-T&P)

Programming for Problem Solving using Python (CSW208B)

Computer Networks (CSH301B-T) & (CSH301B-P)

Sensors & IoT (ECW310B)

3D Printing (MEW318B)

French-II (FLS107)

CO1: Use listening and speaking skills in group activities.
CO2: Write descriptive paragraphs with clear structure.
CO3: Analyse texts on various cultural topics.
CO4: Use reflexive verbs to describe daily routines.
CO5: Apply grammar rules including vocabulary and verb conjugation.
CO6: Use vocabulary related to weather and seasons.

Spanish-II (FLS105)

CO1: Exchange greetings and ask/answer simple questions.
CO2: Discuss daily routines using basic vocabulary.
CO3: Identify key points in familiar audio topics and describe people or places.
CO4: Present basic information using simple sentences.
CO5: Justify opinions and identify cultural differences.
CO6: Describe places and themselves using familiar vocabulary.

German-II (FLS106)

CO1: Discuss directions, countries, and spoken languages.
CO2: Write short essays on family and friends with basic tense knowledge.
CO3: Identify classroom-related vocabulary.
CO4: Use numbers, months, and days in German.
CO5: Justify opinions using suitable verbs.
CO6: Describe people, places, and objects in simple terms.

Professional Competency Enhancement-II (CDO202)

Research & Innovation-I (RDO502)

Essence of Indian Traditional Knowledge (EDS240)

Unsupervised Learning (CSH213B-T) & (CSH213B-P)

Software Craftsmanship – TDD/SOLID (CSH210B-T) & (CSH210B-P)

Digital Forensics (CSH214B-T) & (CSH214B-P)

Semester 5

Computer Architecture & Organization

Theory of Automata & Compiler Design

Mobile Computing with Android

CO1: Describe mobile development tools and Android software basics.
CO2: Demonstrate understanding of mobile development contexts and complexities.
CO3: Show interaction between UI and underlying components.
CO4: Develop and deploy a working mobile app prototype.
CO5: Debug applications on Android platforms.
CO6: Reflect on team-based Android development and collaboration.

Neural Networks & Fuzzy Logic

Machine Learning

Applied Philosophy

Applied Psychology

CO1: Develop critical thinking for applying psychology concepts.
CO2: Identify the effects of stereotyping, prejudice, and discrimination.
CO3: Identify key personality attributes.
CO4: Explain group conflict and social psychology principles.
CO5: Demonstrate understanding of group dynamics.
CO6: Analyse organisational psychology for workplace adaptation.

Applied Sociology

Entrepreneurship

Professional Competency Enhancement-III

Research & Innovation-II

Advanced Neural Networks

Version Control & Automation

Network Security

Semester 6

Computer Graphics & Multimedia

Analysis and Design of Algorithms

Advanced Android Development

CO1: Describe Android tools and development process using Android Studio.
CO2: Develop localized applications supporting multiple languages.
CO3: Create application widgets, fragments, and utilize sensors.
CO4: Plan and develop prototypes and deploy across APIs.
CO5: Create applications using GPS and multimedia and debug efficiently.
CO6: Collaborate effectively in Android development projects.

Data Warehousing and Data Mining

Deep Learning

.NET

User Experience

Data Visualization using Tableau

Advanced Java

CO1: Use Core Java, Swing, and JDBC for programming.
CO2: Understand RMI, JavaBeans, and client-server structures.
CO3: Classify Java Servlet functionalities.
CO4: Compare static and dynamic content via JSP.
CO5: Solve database problems using Java Struts framework.
CO6: Innovate with advanced Java technologies.

Law Relating to Intellectual Property Rights

Essentials of Peace and Sustainability

Introduction to Finance

Professional Competency Enhancement-IV

CO1: Apply tricks to solve geometry and calculation problems.
CO2: Solve questions on modern math and number systems.
CO3: Solve data-related aptitude problems.
CO4: Demonstrate grammar and vocabulary proficiency.
CO5: Write formal texts effectively.
CO6: Use speed reading techniques for better comprehension.

Natural Language Processing

Modern Architecture Patterns

Vulnerability Assessment and Penetration Testing

Semester 7

Mobile App. Analytics

CO1: Understand how to improve app functionality and revenue via continuous improvement and revenue models.
CO2: Configure web and mobile apps on Google Analytics and Firebase to analyse user activity.
CO3: Build custom reports using metrics and dimensions on Google Analytics.
CO4: Plan event tracking using Google Tag Manager.
CO5: Perform A/B testing using Google Optimize to analyse page performance.
CO6: Evaluate analytics using Data Studio with filters on demo or live data.

Mobile App. Analytics Lab

CO1: Understand how to improve app functionality and revenue via continuous improvement and revenue models.
CO2: Configure web and mobile apps on Google Analytics and Firebase to analyse user activity.
CO3: Build custom reports using metrics and dimensions on Google Analytics.
CO4: Plan event tracking using Google Tag Manager.
CO5: Perform A/B testing using Google Optimize to analyse page performance.
CO6: Evaluate analytics using Data Studio with filters on demo or live data.

Information Retrieval

Information Retrieval Lab

Image Processing

CO1: Understand fundamentals of image processing systems.
CO2: Learn methods for image creation and demonstration.
CO3: Evaluate techniques for image enhancement/restoration.
CO4: Categorise compression techniques.
CO5: Interpret image segmentation and representation.
CO6: Apply image processing to real-life problems.

Image Processing Lab

CO1: Understand fundamentals of image processing systems.
CO2: Learn methods for image creation and demonstration.
CO3: Evaluate techniques for image enhancement/restoration.
CO4: Categorise compression techniques.
CO5: Interpret image segmentation and representation.
CO6: Apply image processing to real-life problems.

Software Testing

Agile Technologies

Image Editing & Animation

Progressive Web Applications (PWA)

CO1: Understand PWA basics and compare with native apps.
CO2: Use service workers, Lighthouse, and Promises for offline features.
CO3: Handle fetch API, caching, and IndexedDB in PWA.
CO4: Design and deploy PWAs with user group evaluation.
CO5: Implement push notifications, payment APIs, and Gulp automation.
CO6: Analyse PWA usage via Google Analytics.

Progressive Web Applications Lab

CO1: Understand PWA basics and compare with native apps.
CO2: Use service workers, Lighthouse, and Promises for offline features.
CO3: Handle fetch API, caching, and IndexedDB in PWA.
CO4: Design and deploy PWAs with user group evaluation.
CO5: Implement push notifications, payment APIs, and Gulp automation.
CO6: Analyse PWA usage via Google Analytics.

Big Data

Big Data Lab

Network Security & Cryptography

Network Security & Cryptography Lab

Cloud Computing

Cloud Computing Lab

Software Project Management

Software Project Management Lab

Introduction to Blockchain Technology

Introduction to Blockchain Lab

Wireless Sensor Networks (WSN)

CO1: Design WSNs and understand related challenges.
CO2: Understand WSN architectures and platforms.
CO3: Identify suitable sensors for applications.
CO4: Address energy and security challenges.
CO5: Explore protocols in WSN.
CO6: Understand research trends and apply WSNs to real problems.

WSN Lab

CO1: Design WSNs and understand related challenges.
CO2: Understand WSN architectures and platforms.
CO3: Identify suitable sensors for applications.
CO4: Address energy and security challenges.
CO5: Explore protocols in WSN.
CO6: Understand research trends and apply WSNs to real problems.

Operations Research

Operations Research Lab

Environmental Ethics & Sustainable Development

E-Waste Management

Green Computing

Computer Vision & Data Visualization

Computer Vision & Data Visualization Lab

Malware Analysis & Reverse Engineering

Malware Analysis & Reverse Engineering Lab

Curriculum Highlights

Our Top Recruiters

Internship & Placement Opportunities

This b tech in ai and ml program, developed in association with industry leaders such as Xebia, integrates core principles of computer science engineering with advanced topics including machine learning, deep learning, natural language processing, and data analytics. The btech ai ml syllabus emphasizes hands-on learning through practical sessions, simulation projects, and industry internships, fostering skills needed for real-world applications. Graduates of this ai course in btech will be well-equipped for diverse roles such as AI engineers, data scientists, and machine learning specialists, making them valuable contributors to technology-driven enterprises. Internship and placement support leverage partnerships with tech companies ensuring robust career opportunities related to machine learning and ai courses.

For Internship:

Industrial Visits: Regular industry visits organized by the college help students make connections with industry professionals, and sometimes, these visits lead to internship opportunities.

Guest Speakers/Networking Events: Department often host guest lectures, webinars, or networking events where industry professionals share internship opportunities and other career development insights.

Online Internship Portals
Alumni Networks
Hackathons and Competitions .

For Internship:

On-Campus Recruitment
CRC DEPARTMENT FOR PLACEMENTS
Walk-in Interviews

Few mentions wrt Internship in the current Academic year

Ashwani Soni, B.Tech CSE – Summer Internship at Google – ₹1.23 Lakh
Kanika Sharma, B.Tech CSE – Summer Internship at JPMorgan Chase & Co. – ₹75K
Manis Tyagi, B.Tech CSE – Summer Internship at UiPath – ₹50K
Drishti Uppal, B.Tech CSE – Summer Internship at National Instruments – ₹45K
Reet Kaur, B.Tech CSE (AIML) – Summer Internship at British Telecom – ₹40K
Gaurav Arora, B.Tech CSE (CDA) – Summer Internship at British Telecom – ₹40K
Kanan Arora, B.Tech CSE (AIML) – Summer Internship at British Telecom – ₹40K

Placement Support

Training by CDC Experts: Focused sessions on aptitude, communication, and interview skills.
Super 40 Batches: Specialised grooming for top-performing students.
Curriculum Integration: Employability questions included in tutorials for real-world readiness.

Capstone Project & Research

Introduction to Research has been added to the curriculum to enhance the research capabilities of students. MRU has subscription to National and International online journals of repute including from IEEE, Springer, DELNET, and CSI. There is an e-library facility for the students. In addition to this students are provided guidance on how to write research papers, file patents etc.
Project Based Learning Pedagogies are used.
Agile rooms are available.

Global Exposure

Expert Sessions: Lectures and webinars by global trainers in AI & ML.
Hands-on Learning: Workshops with internationally renowned professionals.
Student Exchange: Opportunities (under process) with top universities in the UK, US, and Australia.

Industry Exposure

Co-Designed, Co-Delivered and Co-Certified Programs
Curriculum developed in collaboration with industry experts to ensure relevance and skill alignment.
Industrial Visits
Regular visits to tech companies help students gain practical insights into real-world work environments.
Internship Assistance
Support provided in securing internships through industry connections and university tie-ups.
Industry mentors support for project building and networking
Students receive guidance from professionals to build impactful projects and grow their network.

Why Pursue?

Choosing this programme opens doors to a world of exciting opportunities:

High Job Demand
Skilled tech professionals are in constant demand across industries—your skills will never go out of style.
Lucrative Career Paths
Enjoy competitive salaries and fast career growth in roles that are both challenging and rewarding.
Real Industry Impact
Work on solutions that directly impact businesses, consumers, and society—your work will matter.
Academic & Industry Research
Whether you're drawn to cutting-edge innovation or want to contribute to academic advancements, you’ll find rich avenues to explore.
Diverse Career Roles
From software development to data science, UI/UX, DevOps, and beyond—the options are vast and ever-expanding.
Interdisciplinary Edge
Merge computer science with domains like healthcare, finance, education, and more—because technology touches everything.

Fee Details for B.Tech CSE (Hons.) (Lateral Entry) - Artifical Intelligence and Machine Learning (In association with Xebia)

Course Fee (Annual): INR 3,33,800
Duration: 4 Years
Brochure (PDF)

* The fee displayed above is applicable only to Indian residents. Fees for NRI and International students are different and will be shared upon enquiry.

Modes of Payment

Online Payment: Via net banking, debit/credit card, or UPI through the university's official payment portal.
Bank Transfer: NEFT/RTGS to the university’s designated bank account.
Demand Draft (DD): As per details shared during the admission process.
Cash Payment: At the Accounts Office on campus (subject to limits as per government regulations).
Education Loan: Through tie-ups with banks like PNB, SBI, HDFC, and ICICI, offering easy financing options.

Residential Facilities & Transport

We at Manav Rachna offer generous residential facilities and convenient transportation services so that each student, including those studying Manav Rachna, gets to enjoy a safe, comfortable, and fulfilling campus life.

Residential Services

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.

Key Points

Room Types: The hostels offer different types of rooms to suit different budgets and preferences:

Air-conditioned and non-air-conditioned rooms
Single-seater, two-seater, three-seater, and five-seater rooms
The rooms can be equipped with attached or common toilets as per the choice of room category.

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:

Medical services and medical insurance to keep the students fit.
Library facilities for access to study materials and academic inputs.
Laundry facilities as included in the hostel fees, to ease the life of students.

Mess Plan

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:

Sports

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 programs with full seriousness.

Basketball, volleyball, cricket, soccer, chess, and carom among others.

Notable facilities include:

A 25m shooting range and a 10m air-conditioned indoor shooting range with Olympic-standard SIUS Ascor electronic targets.
Indoor badminton and table tennis stadia with synthetic courts in association with Yonex and Stag.
A Semi-Olympic pool for swimming and a Soccer Academy for students who have sporting interest and passion.
A Sports Fitness Centre to service psychological, physiotherapy, and other aspects of health for students.

The facilities enable students to pursue physical exercises that complement their academic development.

Laundry

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.

Parking

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, so that their travel will be easy and hassle-free.

Transport

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.

How to Apply for B.Tech CSE (Hons.) (Lateral Entry) - Artifical Intelligence and Machine Learning (In association with Xebia)

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.