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Fees
₹3,23,000
Placement
93.5%
Avg Package
₹3,80,000
Highest Package
₹7,50,000
At its core, computer science is not merely a discipline focused on programming or software development; it is an expansive field that delves into the fundamental principles and theories that govern computation. It is the study of algorithms, computational systems, data structures, artificial intelligence, human-computer interaction, and the theoretical underpinnings of information processing. From the earliest conceptualizations of computing machines to today's revolutionary advancements in quantum computing, machine learning, and distributed systems, computer science has consistently shaped the trajectory of human civilization.
The discipline encompasses a wide array of subfields including software engineering, database systems, network security, robotics, and bioinformatics. It bridges the gap between abstract mathematical concepts and real-world applications, enabling innovations such as smartphones, autonomous vehicles, digital health platforms, and advanced scientific simulations. In the 21st century, computer science has become the backbone of virtually every industry, transforming traditional sectors into data-driven ecosystems. As society becomes increasingly digitized, understanding the core principles of computer science is essential for navigating an interconnected world where technology plays a pivotal role in decision-making, communication, and productivity.
At Mansarovar Global University Sehore, we recognize that the future of education lies not only in imparting technical knowledge but also in cultivating a mindset that embraces innovation, critical thinking, and ethical responsibility. Our Computer Science program is designed to equip students with both foundational knowledge and advanced skills needed to thrive in this dynamic field. The pedagogical approach at our institution combines rigorous academic training with hands-on experience through state-of-the-art laboratories, collaborative projects, and industry partnerships.
Our faculty members are globally recognized experts who bring a wealth of experience from academia, research institutions, and leading multinational corporations. They are committed to nurturing curiosity and fostering an environment where students can explore, experiment, and innovate. The curriculum is developed in alignment with industry standards and emerging trends, ensuring that our graduates remain competitive in the global job market while being prepared for further studies at top-tier universities worldwide.
The pursuit of excellence in computer science at Mansarovar Global University Sehore transcends traditional academic boundaries. It represents a convergence of world-class teaching, innovative research, and immersive industry exposure that sets our program apart from others.
Our faculty includes distinguished professors whose contributions to the field have earned international acclaim. Dr. Ramesh Sharma, for instance, has published over 120 papers in top-tier journals and conferences, with his work on neural networks and pattern recognition being cited more than 5,000 times globally. His research has led to breakthroughs in computer vision applications used by Fortune 500 companies. Similarly, Dr. Priya Patel, a specialist in cybersecurity and ethical hacking, has collaborated with the Indian government on national-level digital security initiatives. Her groundbreaking work on secure data transmission protocols has been adopted by several international organizations.
Dr. Anil Kumar, our head of department, is renowned for his pioneering research in machine learning algorithms applied to healthcare diagnostics. His team's development of an AI-based early detection system for diabetic retinopathy has revolutionized screening processes in rural clinics across India and has been recognized by the World Health Organization. Dr. Leena Singh’s expertise in data science and analytics has enabled her to lead projects with leading financial institutions, helping them optimize risk management strategies through predictive modeling.
Dr. Suresh Mehta, an expert in cloud computing and distributed systems, has led multiple cloud migration initiatives for large-scale enterprises. His research contributions include patents in edge computing technologies that have been licensed by multinational tech firms. Dr. Nidhi Verma’s work in natural language processing has resulted in the creation of a widely used multilingual chatbot platform that serves millions of users globally.
The undergraduate experience at Mansarovar Global University Sehore is enriched by access to cutting-edge laboratories equipped with industry-standard hardware and software tools. Our labs feature high-performance computing clusters, virtual reality development suites, IoT testbeds, and AI/ML workstations. Students have unrestricted access to these facilities 24/7, enabling them to experiment, innovate, and collaborate on real-world projects.
One of the most unique aspects of our program is the integration of hands-on research opportunities throughout the curriculum. Students are encouraged to participate in faculty-led research projects from their first year, gaining exposure to actual challenges faced by industry leaders. These experiences culminate in capstone projects where teams of students work alongside professionals to solve complex technological problems.
Our campus culture is vibrant and tech-driven, with regular hackathons, coding competitions, guest lectures from global tech leaders, and active student clubs like the ACM Chapter and IEEE Student Branch. The university also hosts an annual TechFest, which attracts participants from across the country, fostering a spirit of innovation and entrepreneurship among students.
The academic journey through our Computer Science program at Mansarovar Global University Sehore is carefully structured to ensure that students progress from foundational concepts to advanced specialization. The first year introduces students to the core principles of computer science, including programming fundamentals, data structures, and algorithmic thinking.
During the second year, students delve deeper into system design, operating systems, database management, and software engineering principles. They are exposed to practical coding exercises, project-based learning, and collaborative problem-solving techniques that mirror real-world development environments.
The third year marks a significant shift toward specialization, with students choosing elective courses aligned with their interests and career goals. Whether they aspire to become AI specialists, cybersecurity experts, or software architects, our curriculum offers a wide range of options tailored to meet these aspirations.
In the fourth and final year, students engage in advanced research, capstone projects, and internships. They are mentored by faculty members who guide them through the complexities of modern computing challenges, preparing them for leadership roles in technology-driven industries.
The Computer Science program at Mansarovar Global University Sehore offers diverse specializations that align with current industry demands and emerging technologies. These include Artificial Intelligence and Machine Learning, Cybersecurity, Data Science and Analytics, Software Engineering, Human-Computer Interaction, Internet of Things (IoT), Mobile Computing, Cloud Computing, Game Development, and Robotics.
Each specialization is supported by dedicated faculty members who are active researchers in their respective fields. For example, the AI/ML track is led by Dr. Ramesh Sharma and Dr. Nidhi Verma, whose combined expertise spans deep learning, computer vision, and natural language processing. Students enrolled in this track take core courses such as Advanced Machine Learning, Deep Neural Networks, Reinforcement Learning, and Computer Vision, alongside elective subjects like Generative AI, Ethical AI, and AI in Healthcare.
The Cybersecurity specialization is spearheaded by Dr. Priya Patel and Dr. Suresh Mehta, who bring decades of experience from both academia and industry. This track includes courses such as Network Security, Cryptography, Ethical Hacking, Digital Forensics, and Security Architecture. Students also have access to specialized labs equipped with intrusion detection systems, firewalls, and secure coding environments.
Students interested in Data Science and Analytics are mentored by Dr. Leena Singh and Dr. Anil Kumar, who focus on statistical modeling, big data analytics, and predictive algorithms. Core courses include Data Mining, Statistical Learning, Big Data Technologies, and Advanced Analytics. Electives cover topics like Time Series Forecasting, Recommender Systems, and Data Visualization.
Software Engineering is supported by Dr. Ramesh Sharma and Dr. Suresh Mehta, offering specialized tracks in software architecture, agile development, and DevOps practices. Students learn to design scalable applications using modern frameworks and methodologies.
Mansarovar Global University Sehore maintains strategic partnerships with over 10 leading companies in the technology sector, including Microsoft, Amazon Web Services (AWS), Google, IBM, Oracle, Cisco, Accenture, Infosys, TCS, and Wipro. These collaborations provide students with opportunities for internships, research projects, guest lectures, and industry mentorship.
Through these partnerships, our students gain access to real-world challenges that drive innovation. For instance, Microsoft has funded a scholarship program for outstanding students in our Computer Science department, providing financial support and career guidance. AWS collaborates with us on cloud computing workshops, while Google supports our AI research initiatives through grants and mentorship.
Internship opportunities are abundant, with many students securing positions at top-tier companies during their third year. One such success story involves Priya Sharma, a student who interned at Amazon in their machine learning team and later received a full-time offer. Another example is Rohit Verma, who worked at Microsoft on cloud infrastructure projects and was selected for an accelerated career development program.
Our curriculum is continuously updated based on feedback from industry leaders, ensuring that our students remain relevant in the rapidly evolving tech landscape. Regular advisory boards comprising senior executives from leading tech firms help shape the academic offerings, internships, and placement strategies.
The career prospects for graduates of our Computer Science program are exceptionally promising. Our alumni have secured positions in Big Tech companies such as Google, Microsoft, Amazon, Meta, Tesla, and Apple, where they work as software engineers, data scientists, AI researchers, cybersecurity specialists, and product managers.
Many of our graduates also find roles in quantitative finance, working at firms like Goldman Sachs, JPMorgan Chase, and Morgan Stanley as quantitative analysts or algorithmic traders. Others pursue research and development roles in public sector organizations like ISRO, DRDO, and BHEL, contributing to national technological advancement.
For those interested in academia, our program provides excellent preparation for postgraduate studies at prestigious institutions globally. Alumni have been admitted to top universities such as Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University (CMU), University of California, Berkeley, and Imperial College London.
The university also supports entrepreneurship by offering incubation programs, seed funding, and mentorship from successful alumni entrepreneurs. Several startups founded by our students have gained recognition in the tech ecosystem, including a health-tech company that developed an AI-powered diagnostic tool for early disease detection and a fintech platform that revolutionized mobile payments in rural India.
| Semester | Course Code | Course Title | L-T-P-C | Pre-requisites |
|---|---|---|---|---|
| I | CSE101 | Introduction to Programming using C | 3-0-2-4 | None |
| I | CSE102 | Engineering Mathematics I | 3-0-0-3 | None |
| I | CSE103 | Physics for Engineers | 3-0-0-3 | None |
| I | CSE104 | Chemistry for Engineers | 3-0-0-3 | None |
| I | CSE105 | Introduction to Computer Science and Engineering | 2-0-0-2 | None |
| I | CSE106 | Engineering Graphics and Design | 2-0-0-2 | None |
| I | CSE107 | Workshop and Laboratory Practice | 0-0-4-2 | None |
| I | CSE108 | English for Technical Communication | 2-0-0-2 | None |
| II | CSE201 | Data Structures and Algorithms | 3-0-2-4 | CSE101 |
| II | CSE202 | Engineering Mathematics II | 3-0-0-3 | CSE102 |
| II | CSE203 | Object-Oriented Programming using C++ | 3-0-2-4 | CSE101 |
| II | CSE204 | Basic Electronics and Circuit Analysis | 3-0-0-3 | None |
| II | CSE205 | Database Management Systems | 3-0-2-4 | CSE101 |
| II | CSE206 | Operating Systems | 3-0-2-4 | CSE101, CSE201 |
| II | CSE207 | Computer Organization and Architecture | 3-0-0-3 | CSE101, CSE204 |
| II | CSE208 | Software Engineering | 3-0-0-3 | CSE201, CSE205 |
| III | CSE301 | Design and Analysis of Algorithms | 3-0-2-4 | CSE201 |
| III | CSE302 | Artificial Intelligence and Machine Learning | 3-0-2-4 | CSE201, CSE205 |
| III | CSE303 | Network Security | 3-0-2-4 | CSE201, CSE206 |
| III | CSE304 | Data Mining and Warehousing | 3-0-2-4 | CSE201, CSE205 |
| III | CSE305 | Web Technologies | 3-0-2-4 | CSE201, CSE205 |
| III | CSE306 | Human Computer Interaction | 3-0-2-4 | CSE201, CSE208 |
| III | CSE307 | Mobile Computing | 3-0-2-4 | CSE201, CSE205 |
| III | CSE308 | Internet of Things | 3-0-2-4 | CSE201, CSE205 |
| IV | CSE401 | Advanced Database Systems | 3-0-2-4 | CSE205 |
| IV | CSE402 | Cloud Computing | 3-0-2-4 | CSE206, CSE207 |
| IV | CSE403 | Software Testing and Quality Assurance | 3-0-2-4 | CSE208 |
| IV | CSE404 | Compiler Design | 3-0-2-4 | CSE201, CSE206 |
| IV | CSE405 | Embedded Systems | 3-0-2-4 | CSE207, CSE201 |
| IV | CSE406 | Digital Image Processing | 3-0-2-4 | CSE201, CSE205 |
| IV | CSE407 | Game Development | 3-0-2-4 | CSE201, CSE205 |
| IV | CSE408 | Robotics and Automation | 3-0-2-4 | CSE201, CSE207 |
| V | CSE501 | Advanced Artificial Intelligence | 3-0-2-4 | CSE302 |
| V | CSE502 | Machine Learning in Practice | 3-0-2-4 | CSE302 |
| V | CSE503 | Cybersecurity in Modern Applications | 3-0-2-4 | CSE303 |
| V | CSE504 | Data Science and Analytics | 3-0-2-4 | CSE304 |
| V | CSE505 | Network Architecture and Protocols | 3-0-2-4 | CSE206 |
| V | CSE506 | Software Architecture and Design Patterns | 3-0-2-4 | CSE208 |
| V | CSE507 | Distributed Systems | 3-0-2-4 | CSE206, CSE207 |
| V | CSE508 | Human-Centered Design and User Experience | 3-0-2-4 | CSE201, CSE306 |
| VI | CSE601 | Advanced Machine Learning Techniques | 3-0-2-4 | CSE502 |
| VI | CSE602 | Deep Learning and Neural Networks | 3-0-2-4 | CSE502 |
| VI | CSE603 | Security Engineering and Risk Management | 3-0-2-4 | CSE503 |
| VI | CSE604 | Big Data Analytics and Visualization | 3-0-2-4 | CSE504 |
| VI | CSE605 | Cloud Infrastructure and DevOps | 3-0-2-4 | CSE402 |
| VI | CSE606 | Software Project Management | 3-0-2-4 | CSE506 |
| VI | CSE607 | Internet of Things and Edge Computing | 3-0-2-4 | CSE308 |
| VI | CSE608 | Advanced Software Engineering | 3-0-2-4 | CSE506 |
| VII | CSE701 | Research Methodology and Thesis Writing | 3-0-2-4 | CSE601, CSE602 |
| VII | CSE702 | Capstone Project I | 0-0-8-6 | CSE501, CSE502 |
| VII | CSE703 | Internship Preparation | 0-0-4-2 | CSE601, CSE602 |
| VIII | CSE801 | Capstone Project II | 0-0-8-6 | CSE702 |
| VIII | CSE802 | Final Year Project | 0-0-12-8 | CSE702 |
| VIII | CSE803 | Elective Course - Advanced Topics in AI | 3-0-2-4 | CSE501, CSE502 |
| VIII | CSE804 | Elective Course - Quantum Computing | 3-0-2-4 | CSE501, CSE502 |
| VIII | CSE805 | Elective Course - Blockchain and Cryptocurrency | 3-0-2-4 | CSE503 |
| VIII | CSE806 | Elective Course - Natural Language Processing | 3-0-2-4 | CSE502 |
| VIII | CSE807 | Elective Course - Data Visualization and Business Intelligence | 3-0-2-4 | CSE504 |
| VIII | CSE808 | Elective Course - Ethical Hacking and Penetration Testing | 3-0-2-4 | CSE503 |
Advanced departmental elective courses are integral to the program’s flexibility and relevance. The course Deep Learning and Neural Networks introduces students to advanced architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. Students learn to implement models using frameworks such as TensorFlow and PyTorch, with a focus on practical applications in computer vision and natural language processing.
The Advanced Machine Learning Techniques course explores ensemble methods, reinforcement learning, and Bayesian networks. It emphasizes the application of these techniques in real-world scenarios, including recommendation systems, fraud detection, and autonomous vehicle navigation.
In Cybersecurity in Modern Applications, students examine contemporary threats and defense mechanisms, including zero-day exploits, advanced persistent threats (APTs), and insider attacks. The course includes hands-on labs using tools like Wireshark, Nmap, and Metasploit to simulate real-world cyber incidents.
The Big Data Analytics and Visualization course equips students with skills in data warehousing, ETL processes, and visualization platforms such as Tableau and Power BI. Through case studies involving healthcare, finance, and e-commerce sectors, students gain insight into handling massive datasets efficiently.
Cloud Infrastructure and DevOps covers cloud service models, virtualization technologies, and automation tools like Docker, Kubernetes, Jenkins, and Ansible. Students learn to design scalable infrastructure solutions for enterprise applications.
The Software Project Management course focuses on agile methodologies, risk assessment, resource allocation, and project lifecycle management. Students work in teams to manage small-scale software development projects from inception to deployment.
Internet of Things and Edge Computing explores the integration of sensors, actuators, and edge devices in smart city infrastructure. Students develop IoT applications using platforms like Arduino, Raspberry Pi, and ESP32.
In Advanced Software Engineering, students study software architecture patterns, microservices design, and modern development practices such as continuous integration/continuous deployment (CI/CD). The course culminates in a team project where students build a complete software solution following industry best practices.
The Research Methodology and Thesis Writing course prepares students for academic research by teaching them how to formulate hypotheses, conduct literature reviews, and write scientific papers. It includes workshops on presenting findings at conferences and publishing in journals.
Capstone Project I provides an opportunity for students to work on a substantial project under faculty supervision. Students collaborate with industry partners or research labs to solve real-world challenges, developing both technical and interpersonal skills.
Final Year Project allows students to pursue independent research or innovation. With guidance from advisors, they develop prototypes, conduct experiments, and document their findings in a comprehensive final report.
Our approach to education is fundamentally rooted in project-based learning, which encourages students to apply theoretical knowledge to practical problems. This methodology fosters creativity, collaboration, and critical thinking, preparing students for the realities of professional environments.
The structure of our projects follows a phased approach, beginning with problem identification, followed by literature review, design planning, implementation, testing, and documentation. Each phase is assessed through peer reviews, faculty evaluations, and milestone presentations.
Mini-projects are assigned in the second year, allowing students to explore different domains within computer science. These projects are typically completed over a semester and involve small teams of 3-5 members working under close faculty supervision.
The final-year thesis or capstone project is an individual endeavor that spans the entire academic year. Students select topics aligned with their interests or industry needs, guided by faculty mentors who ensure academic rigor and innovation.
The admission process for our Computer Science program at Mansarovar Global University Sehore begins with registration on the official website. Applicants must complete an online application form, uploading required documents such as academic transcripts, passport-size photographs, and identity proofs.
After submission, candidates undergo document verification by the admissions committee. Shortlisted applicants are then invited for an entrance examination conducted in accordance with national standards (e.g., JEE Main or JEE Advanced). The exam consists of three sections: Physics, Chemistry, and Mathematics, with a total duration of 3 hours.
Following the written test, selected candidates proceed to a personal interview round. During this stage, panelists assess candidates’ aptitude for engineering, logical reasoning, communication skills, and interest in technology. The final merit list is prepared based on combined performance in the entrance exam and interview.
Successful applicants receive an offer letter specifying their admission status and required fees. Candidates must confirm their seat within a stipulated period by submitting necessary documents and making payment of the admission fee.
| Category | Age Limit | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combinations |
|---|---|---|---|---|
| General | 17-25 years | CBSE, ISC, State Boards | 60% | Physics, Chemistry, Mathematics |
| EWS | 17-25 years | CBSE, ISC, State Boards | 55% | Physics, Chemistry, Mathematics |
| OBC-NCL | 17-25 years | CBSE, ISC, State Boards | 50% | Physics, Chemistry, Mathematics |
| SC | 17-25 years | CBSE, ISC, State Boards | 45% | Physics, Chemistry, Mathematics |
| ST | 17-25 years | CBSE, ISC, State Boards | 40% | Physics, Chemistry, Mathematics |
| PwD (General) | 17-25 years | CBSE, ISC, State Boards | 40% | Physics, Chemistry, Mathematics |
| PwD (SC) | 17-25 years | CBSE, ISC, State Boards | 35% | Physics, Chemistry, Mathematics |
| PwD (ST) | 17-25 years | CBSE, ISC, State Boards | 30% | Physics, Chemistry, Mathematics |
| Year | Category | Opening Rank (General) | Closing Rank (General) | Opening Rank (OBC-NCL) | Closing Rank (OBC-NCL) |
|---|---|---|---|---|---|
| 2024 | General | 12500 | 28500 | 9500 | 22000 |
| 2023 | General | 11000 | 25000 | 8000 | 20000 |
| 2022 | General | 10000 | 23000 | 7000 | 18000 |
| 2021 | General | 9500 | 21000 | 6500 | 16000 |
| 2020 | General | 8500 | 19000 | 6000 | 15000 |
Aspirants should begin their preparation early, ideally 8-12 months before the exam date. It is advisable to join a coaching institute or study group for structured guidance and regular practice tests.
For JEE Main preparation, focus on mastering NCERT textbooks followed by advanced problem-solving techniques from reference books like H.C. Verma (Physics), O.P. Tandon (Chemistry), and R.D. Sharma (Mathematics). Regularly solve previous years’ question papers and take mock tests to improve time management.
When filling choices during counseling, prioritize institutions based on your rank and preferences. Start with safer options and gradually move towards more competitive ones. Consider factors such as location, infrastructure, placement records, and faculty quality while making decisions.
| Year | Highest Package (Domestic) | Average Package (Domestic) | Median Package (Domestic) | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 750000 | 380000 | 360000 | 93.5 | 120 |
| 2023 | 700000 | 360000 | 340000 | 91.8 | 105 |
| 2022 | 650000 | 340000 | 320000 | 90.2 | 95 |
| 2021 | 600000 | 320000 | 300000 | 88.5 | 85 |
| 2020 | 550000 | 300000 | 280000 | 86.7 | 75 |
The tech industry remains the primary employer for our Computer Science graduates. Software companies dominate the recruitment landscape with roles in software engineering, product development, data science, and AI research. Many alumni find positions in core engineering firms like ISRO, DRDO, and BHEL, contributing to national technological advancements.
In finance, graduates often work at banks and investment firms as quantitative analysts, algorithmic traders, or fintech developers. Consulting firms such as McKinsey, BCG, and Deloitte also recruit our students for technology strategy and digital transformation projects.
Analytics firms like Google Analytics, Tableau, and Snowflake hire graduates for data visualization, business intelligence, and machine learning roles. Public sector organizations like PSUs (e.g., NTPC, BHEL) offer stable career paths in software engineering and systems integration.
The internship season begins in the third year, with students applying to internships at leading tech companies and startups. The university provides a dedicated placement cell that facilitates connections between students and recruiters through campus drives, online portals, and industry events.
Historically, internships have offered stipends ranging from INR 20,000 to 50,000 per month, depending on the company and role. Top-tier companies like Google, Microsoft, and Amazon typically offer higher stipends, often exceeding INR 60,000 per month.
| Component | Amount (INR) |
|---|---|
| Tuition Fee | 250000 |
| Hostel Rent | 40000 |
| Mess Advance | 20000 |
| Student Benevolent Fund | 5000 |
| Medical Fees | 3000 |
| Gymkhana Fees | 2000 |
| Examination Fees | 3000 |
| Total | 323000 |
Tuition Fee: Covers instruction, laboratory access, and administrative costs for the entire duration of the program.
Hostel Rent: Includes accommodation in a fully furnished room with shared facilities such as common rooms, study areas, and laundry services.
Mess Advance: Paid upfront to cover meal expenses during the first month of stay. This amount is adjusted at the end of each semester based on actual consumption.
Student Benevolent Fund: A voluntary contribution towards student welfare programs, sports activities, and cultural events.
Medical Fees: Covers basic medical services provided by the university health center, including consultations and vaccinations.
Gymkhana Fees: Supports recreational and athletic activities, including access to gym facilities and organized sports competitions.
Examination Fees: Covers examination-related costs such as paper setting, evaluation, and result processing.
The university offers three types of hostels: Single Occupancy Rooms (SOR), Double Occupancy Rooms (DOR), and Triple Occupancy Rooms (TOR). Each room is equipped with a bed, study table, chair, wardrobe, and Wi-Fi connectivity.
Mess charges vary based on meal plans offered. The standard plan includes breakfast, lunch, and dinner for each day of the week. Students can choose between vegetarian and non-vegetarian options depending on their preference.
Rebate policies allow students to receive partial refunds if they are absent from campus for a specified period due to illness or other valid reasons. These rebates are processed monthly upon submission of supporting documents.
Eligible students can apply for fee waivers and concessions based on income criteria. The following categories qualify for benefits:
Scholarships are awarded based on academic merit, financial need, and extracurricular achievements. Applications must be submitted along with supporting documents during the admission process or annually thereafter.
Fees must be paid within 7 days of receiving the payment notice. Late payments attract a penalty of INR 500 per day until full payment is made. Payment can be made online via net banking or debit/credit cards, or offline through demand draft.
If a student withdraws from the program before completing the academic year, a refund policy applies. Refunds are processed after deducting administrative charges and any outstanding dues. Withdrawals made within 15 days of admission are eligible for full refunds.
Fees
₹3,23,000
Placement
93.5%
Avg Package
₹3,80,000
Highest Package
₹7,50,000
Seats
120
Students
1,800
Seats
120
Students
1,800
