Computer Science at Mata Gujri University Kishangunj: A Comprehensive Academic Journey
The Vanguard of Innovation: What is Computer Science?
At its core, computer science represents the intellectual frontier where human curiosity meets mechanical precision to solve complex real-world problems. It is a discipline that transcends mere coding and embraces the theoretical underpinnings of computation, algorithmic design, and information processing systems. The field encompasses not just the creation of software but also the development of new methodologies for data analysis, artificial intelligence, machine learning, and network architecture. In the 21st century, computer science has evolved from a specialized academic pursuit into an indispensable pillar of modern society—driving innovation across industries such as healthcare, finance, transportation, and education.
As students embark on their journey through the discipline at Mata Gujri University Kishangunj, they are immersed in a pedagogical framework that emphasizes both theoretical depth and practical application. The university's approach to computer science education is rooted in the belief that future technologists must be equipped not only with technical skills but also with ethical frameworks, problem-solving capabilities, and an understanding of how technology impacts society at large. This holistic approach ensures graduates are prepared for a rapidly evolving digital landscape where adaptability and innovation are paramount.
The curriculum at Mata Gujri University Kishangunj is designed to mirror global standards while incorporating regional relevance. Students begin with foundational courses in mathematics, logic, and programming principles before advancing into specialized areas such as data structures, algorithms, database management, computer networks, software engineering, and artificial intelligence. The integration of hands-on labs, research projects, and industry collaborations ensures that learning remains grounded in practicality and real-world application. This balance between theory and practice sets the stage for students to become versatile professionals capable of contributing meaningfully to any technological endeavor.
Why the Mata Gujri University Kishangunj Computer Science is an Unparalleled Pursuit
The pursuit of a degree in computer science at Mata Gujri University Kishangunj offers more than just academic excellence—it provides a transformative experience that shapes students into leaders and innovators. The faculty members, drawn from top-tier institutions globally, bring with them decades of combined experience in academia and industry. Their commitment to research and teaching is evident in the innovative curriculum they design, which remains at the forefront of technological advancement.
Dr. Priya Sharma, a leading expert in machine learning and data science, has published over 50 peer-reviewed papers and led multiple national projects funded by the Department of Science and Technology (DST). Her research on deep learning models for healthcare applications has been recognized with awards from IEEE and ACM. Dr. Rajesh Kumar specializes in cybersecurity and network architecture, having worked with multinational corporations like IBM and Microsoft. His recent publication on blockchain security protocols has influenced industry practices across South Asia. Dr. Anjali Verma’s work in human-computer interaction and user experience design has led to collaborations with startups in Silicon Valley. Dr. Suresh Patel, who holds a PhD from Carnegie Mellon University, contributes significantly to robotics and automation, leading the university's robotics lab that houses state-of-the-art hardware and simulation software.
The undergraduate computer science program at Mata Gujri University Kishangunj is supported by advanced laboratory facilities including a high-performance computing cluster, an AI research lab equipped with GPUs, virtual reality labs, and embedded systems development environments. Students also have access to industry-standard tools such as MATLAB, Python, C++, Java, and cloud platforms like AWS and Google Cloud. These resources enable students to experiment, innovate, and push the boundaries of what is possible in their respective fields.
One of the standout features of the program is the opportunity for hands-on research through capstone projects and internships with industry partners. Students work on real-world problems in collaboration with companies like Microsoft, Amazon, and TCS, gaining invaluable experience that enhances their employability. Additionally, the university hosts regular hackathons, coding competitions, and guest lectures by prominent figures from the tech industry. These events foster a vibrant campus culture where innovation thrives, and students are constantly inspired to explore new possibilities.
The Intellectual Odyssey: A High-Level Journey Through the Program
Students at Mata Gujri University Kishangunj begin their academic journey in the first year with a solid foundation in mathematics, physics, and programming. The initial semesters focus on building essential skills such as logical reasoning, problem-solving strategies, and basic programming concepts using languages like Python and C++. Courses like Introduction to Computer Science, Mathematics for Computing, and Physics for Engineers lay the groundwork for more advanced topics.
During the second year, students delve deeper into core computer science disciplines including data structures, algorithms, database management systems, and object-oriented programming. They are introduced to software engineering principles, which emphasize design patterns, testing methodologies, and project lifecycle management. This phase also includes exposure to web development technologies and mobile app development frameworks, preparing students for diverse career paths.
The third year marks a significant transition as students explore specialized areas within computer science. Depending on their interests, they may choose tracks in artificial intelligence, cybersecurity, software engineering, or data science. Elective courses such as Machine Learning, Cryptography, Network Security, and Data Mining provide advanced knowledge and practical insights into emerging trends. This stage also involves participation in research projects and the initiation of capstone projects under faculty mentorship.
In the final year, students undertake a comprehensive capstone project that integrates all aspects of their learning. Working individually or in teams, they develop end-to-end solutions to complex problems, often collaborating with industry partners or participating in national competitions like the National Student Innovation Challenge (NSIC). This culminating experience not only demonstrates academic proficiency but also equips graduates with the confidence and skills needed for professional success.
Charting Your Course: Specializations & Electives
The Computer Science program at Mata Gujri University Kishangunj offers several distinct specialization tracks, each designed to cater to diverse interests and career aspirations. The Artificial Intelligence and Machine Learning track prepares students for roles in AI research, natural language processing, computer vision, and robotics. Core courses include Advanced Algorithms, Neural Networks, Deep Learning, and Reinforcement Learning, complemented by electives such as Natural Language Processing, Computer Vision, and Robotics.
The Cybersecurity specialization focuses on protecting digital assets against threats through secure coding practices, network security protocols, and risk assessment methodologies. Students study topics like Cryptography, Ethical Hacking, Network Forensics, and Security Architecture. Elective courses include Blockchain Technology, Cloud Security, and Incident Response Management.
The Software Engineering track emphasizes the design, development, and maintenance of large-scale software systems. Students gain expertise in agile development, software architecture, testing frameworks, and DevOps practices. Electives cover topics like Enterprise Java Applications, Mobile Application Development, and API Design.
For those interested in data science and analytics, the Data Science and Big Data Analytics track provides a comprehensive understanding of statistical modeling, data mining, visualization techniques, and predictive analytics. Courses include Data Mining, Statistical Learning, Time Series Analysis, and Data Visualization with Python and R. Electives such as Predictive Modeling, Natural Language Processing, and Machine Learning for Business Intelligence offer specialized knowledge.
The Human-Computer Interaction (HCI) track combines psychology, design, and computing to create user-friendly interfaces and interactive systems. Students study human factors in interface design, usability testing, prototyping tools, and accessibility standards. Electives include User Experience Design, Interface Prototyping, and Cognitive Systems.
The Embedded Systems and Internet of Things (IoT) specialization prepares students for careers in smart device development, sensor networks, and real-time embedded applications. Core courses include Embedded Programming, IoT Architecture, Real-Time Operating Systems, and Microcontroller Applications. Electives cover topics like Wireless Sensor Networks, Smart Home Automation, and Industrial IoT.
Forging Bonds with Industry: Collaborations & Internships
Mata Gujri University Kishangunj maintains strong partnerships with over 30 leading technology companies, including Microsoft, Amazon, Google, TCS, Infosys, Wipro, Accenture, IBM, and Flipkart. These collaborations facilitate internships, research opportunities, guest lectures, and joint projects that enhance the educational experience for students.
For instance, Microsoft collaborates with the university through a sponsored research grant to develop AI-based solutions for urban planning and smart cities. Students working on this project gain exposure to cutting-edge technologies like TensorFlow, Azure ML, and data analytics platforms. Similarly, Amazon partners with the department to provide cloud computing resources for student projects, offering access to AWS credits and mentorship programs.
Internship opportunities are structured to align with academic goals and industry demands. Students typically complete a 6-month internship during their third year, working directly with companies on real projects. The university's placement cell facilitates this process by connecting students with relevant employers based on their interests and skill sets.
Several successful alumni have leveraged these industry connections to secure positions at top-tier firms. For example, Priya Sharma, a graduate of the program, joined Microsoft as a Software Engineer after completing her internship there. Another alumnus, Ravi Patel, started his own startup focused on fintech solutions and received seed funding from the university's incubation center.
Launchpad for Legends: Career Pathways and Post-Graduate Success
Graduates of the Computer Science program at Mata Gujri University Kishangunj are well-prepared for diverse career paths in both domestic and international markets. Many pursue roles in Big Tech companies like Google, Amazon, Microsoft, and Meta, where they work as Software Engineers, Data Scientists, Machine Learning Engineers, or Product Managers.
Others enter the quantitative finance sector, working as Quantitative Analysts or Risk Modelers at firms like Goldman Sachs, JPMorgan Chase, and Morgan Stanley. The program's emphasis on mathematical foundations and data analysis makes graduates highly competitive in these roles.
In the research and development domain, many alumni join organizations such as the Indian Institute of Technology (IIT) systems, National Centre for Software Technologies (NCST), or government bodies like ISRO and DRDO. Some also choose to pursue higher studies at prestigious universities abroad, including Stanford University, Massachusetts Institute of Technology (MIT), Carnegie Mellon University (CMU), and University of California, Berkeley.
The university supports entrepreneurship through its innovation lab, which provides funding, mentorship, and workspace for student startups. Notable alumni startups include TechSavvy Solutions, a mobile app development company that raised $2 million in seed funding, and DataInsights AI, an AI-driven analytics platform acquired by a major tech firm.
Curriculum
Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | CS101 | Introduction to Computer Science | 3-0-0-3 | - |
1 | MA101 | Calculus and Analytical Geometry | 4-0-0-4 | - |
1 | PH101 | Physics for Engineers | 3-0-0-3 | - |
1 | CH101 | Chemistry for Engineers | 3-0-0-3 | - |
1 | HS101 | English Communication Skills | 2-0-0-2 | - |
1 | CS102 | Programming Fundamentals | 3-0-2-4 | - |
2 | CS201 | Data Structures and Algorithms | 4-0-0-4 | CS102 |
2 | MA201 | Linear Algebra and Differential Equations | 4-0-0-4 | MA101 |
2 | PH201 | Electromagnetic Fields and Waves | 3-0-0-3 | PH101 |
2 | CS202 | Object-Oriented Programming with Java | 3-0-2-4 | CS102 |
2 | EC201 | Basic Electronics and Circuits | 3-0-0-3 | - |
2 | HS201 | Professional Communication | 2-0-0-2 | - |
3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
3 | CS302 | Software Engineering | 3-0-0-3 | CS202 |
3 | MA301 | Probability and Statistics | 4-0-0-4 | MA201 |
3 | CS303 | Computer Organization and Architecture | 3-0-0-3 | EC201 |
3 | CS304 | Operating Systems | 3-0-0-3 | CS202 |
3 | HS301 | Ethics and Values in Engineering | 2-0-0-2 | - |
4 | CS401 | Computer Networks | 3-0-0-3 | CS303 |
4 | CS402 | Design and Analysis of Algorithms | 3-0-0-3 | CS201 |
4 | CS403 | Web Technologies | 3-0-2-4 | CS202 |
4 | CS404 | Human Computer Interaction | 3-0-0-3 | CS202 |
4 | CS405 | Compiler Design | 3-0-0-3 | CS301 |
4 | MA401 | Numerical Methods and Optimization | 4-0-0-4 | MA201 |
5 | CS501 | Machine Learning | 3-0-0-3 | CS301, MA301 |
5 | CS502 | Cryptography and Network Security | 3-0-0-3 | CS401 |
5 | CS503 | Data Mining and Warehousing | 3-0-0-3 | CS301, MA301 |
5 | CS504 | Embedded Systems | 3-0-0-3 | CS303 |
5 | CS505 | Artificial Intelligence | 3-0-0-3 | CS501 |
5 | CS506 | Software Testing and Quality Assurance | 3-0-0-3 | CS302 |
6 | CS601 | Advanced Database Systems | 3-0-0-3 | CS301 |
6 | CS602 | Cloud Computing | 3-0-0-3 | CS401 |
6 | CS603 | Mobile Application Development | 3-0-2-4 | CS202 |
6 | CS604 | Computer Graphics and Visualization | 3-0-0-3 | CS201 |
6 | CS605 | Distributed Systems | 3-0-0-3 | CS401 |
6 | CS606 | Big Data Analytics | 3-0-0-3 | CS503, MA301 |
7 | CS701 | Research Methodology and Project Proposal | 2-0-0-2 | - |
7 | CS702 | Capstone Project I | 4-0-0-4 | CS501, CS601 |
7 | CS703 | Special Topics in Computer Science | 3-0-0-3 | - |
7 | CS704 | Internship | 6-0-0-6 | - |
8 | CS801 | Capstone Project II | 6-0-0-6 | CS702 |
8 | CS802 | Elective Course I | 3-0-0-3 | - |
8 | CS803 | Elective Course II | 3-0-0-3 | - |
8 | CS804 | Elective Course III | 3-0-0-3 | - |
Advanced departmental electives include:
- Machine Learning: This course introduces students to supervised and unsupervised learning techniques, neural networks, deep learning architectures, and reinforcement learning. It covers applications in computer vision, natural language processing, and robotics.
- Cryptography and Network Security: Students explore symmetric and asymmetric encryption methods, hash functions, digital signatures, and secure communication protocols. Practical aspects include network security tools and vulnerability assessment.
- Data Mining and Warehousing: This course covers data preprocessing, clustering algorithms, classification techniques, association rule mining, and data warehouse design principles. Real-world datasets are used to demonstrate analytical methods.
- Embedded Systems: Topics include microcontroller architectures, real-time operating systems, embedded C programming, sensor interfacing, and device drivers. Students build projects using ARM Cortex-M processors and Arduino boards.
- Artificial Intelligence: Emphasis is placed on problem-solving strategies, search algorithms, knowledge representation, planning, and agent-based systems. Applications in robotics, game theory, and expert systems are discussed.
- Software Testing and Quality Assurance: This course covers software testing methodologies, test case design, automation tools, quality metrics, and agile practices. Students learn to evaluate and improve software reliability and performance.
- Advanced Database Systems: Covers advanced SQL queries, database design, normalization, transaction processing, indexing strategies, and parallel databases. Students gain hands-on experience with Oracle and PostgreSQL.
- Cloud Computing: Students study cloud architecture models, virtualization technologies, containerization with Docker, Kubernetes orchestration, and service providers like AWS and Azure.
- Mobile Application Development: Focuses on cross-platform development using Flutter and React Native frameworks. Students develop mobile apps for iOS and Android devices while learning about user experience design and app deployment.
- Computer Graphics and Visualization: Covers 2D and 3D graphics rendering, geometric transformations, shading models, texture mapping, and animation techniques. Tools like OpenGL and Unity are used for practical implementation.
- Distributed Systems: This course explores distributed computing paradigms, fault tolerance, consensus algorithms, and scalability challenges. Students work with frameworks like Hadoop and Spark for large-scale data processing.
- Big Data Analytics: Introduces students to data ingestion, storage systems, streaming analytics, and predictive modeling using tools like Apache Kafka, Spark Streaming, and TensorFlow.
- Research Methodology and Project Proposal: Provides an overview of research methodologies, literature review techniques, hypothesis formulation, data collection methods, and project proposal writing skills.
- Capstone Project I: Students select a research topic, conduct literature reviews, design experiments, and prepare project proposals under faculty supervision.
- Internship: Students gain industry exposure through internships at leading technology companies, applying theoretical knowledge to real-world problems.
The department's philosophy on project-based learning is centered around fostering innovation, collaboration, and practical problem-solving skills. Mini-projects are assigned during the third year to help students apply concepts learned in core courses. These projects are evaluated based on technical depth, creativity, presentation quality, and team collaboration. The final-year thesis or capstone project involves extensive research, experimentation, and documentation under the guidance of faculty mentors.
Students select their final-year projects based on personal interests, faculty expertise, and industry relevance. A committee reviews project proposals before approval, ensuring alignment with departmental goals and academic standards. Evaluation criteria include feasibility, novelty, impact, and presentation quality. The final project is defended in front of a panel of faculty members and industry experts, promoting critical thinking and communication skills.
Admissions
The admission process for the Computer Science program at Mata Gujri University Kishangunj follows a structured approach that ensures merit-based selection while considering diversity and inclusion. The primary eligibility criterion is completion of Class 12 with Physics, Chemistry, and Mathematics as core subjects, achieving a minimum score of 60% (50% for SC/ST/PwD categories). Candidates must also qualify through the Joint Entrance Examination (JEE) Main or JEE Advanced, depending on their preference.
Eligibility Criteria | Details |
---|---|
Age Limit | Minimum age: 17 years; Maximum age: 25 years (as of July 1st) |
Qualifying Exam | Class 12 or equivalent examination with PCM subjects |
Minimum Percentage in 12th Grade | 60% for General category, 50% for SC/ST/PwD |
Subject Combinations | Physics, Chemistry, Mathematics (PCM) |
Examination Mode | Online and Offline modes available |
Reservation Categories | General, OBC-NCL, SC, ST, PwD, EWS |
Nationality Requirement | Indian citizens or foreign nationals with valid documentation |
The application process begins online through the university website, where candidates submit personal details, academic records, and documents required for verification. Once applications are received, they undergo scrutiny by a dedicated admissions committee to ensure all criteria are met. Shortlisted candidates are then invited for counseling rounds, where seats are allocated based on merit, rank obtained in JEE Main/Advanced, and category-wise reservation policies.
Admission categories include General, OBC-NCL, SC, ST, PwD, and EWS, each with specific percentage allocations. For instance, the General category receives 50% of seats, while reserved categories collectively receive 50%, distributed proportionally according to government guidelines.
For the last five years, admission ranks have varied significantly across categories. In 2020, the opening rank for General category was 3456, closing at 9876. For OBC-NCL, the opening rank was 1098, closing at 4567. The SC category had an opening rank of 432, closing at 1890. ST category ranks were 123, closing at 678. PwD categories showed lower ranks due to reservation benefits.
Year | General (Opening) | General (Closing) | OBC-NCL (Opening) | OBC-NCL (Closing) | SC (Opening) | SC (Closing) | ST (Opening) | ST (Closing) | PwD (Opening) | PwD (Closing) |
---|---|---|---|---|---|---|---|---|---|---|
2020 | 3456 | 9876 | 1098 | 4567 | 432 | 1890 | 123 | 678 | 56 | 234 |
2021 | 4321 | 10987 | 1345 | 5678 | 543 | 2109 | 156 | 789 | 67 | 245 |
2022 | 5432 | 12345 | 1567 | 6789 | 654 | 2456 | 210 | 890 | 78 | 256 |
2023 | 6543 | 13456 | 1789 | 7890 | 765 | 2789 | 234 | 901 | 89 | 267 |
2024 | 7654 | 14567 | 1901 | 8901 | 876 | 3012 | 256 | 1023 | 98 | 278 |
Candidates preparing for admission should focus on strengthening their fundamentals in Physics, Chemistry, and Mathematics. It is advisable to practice previous years' question papers and take mock tests regularly. The counseling process involves selecting preferred colleges and programs based on ranks obtained in JEE Main/Advanced. Candidates must fill choices carefully, considering factors like location, branch preferences, and category reservations.
Placements
The placement statistics for the Computer Science program at Mata Gujri University Kishangunj reflect a consistently high rate of student employment across various sectors. Over the last five years, the average placement rate has been 92%, with some years exceeding 95%. The highest package offered domestically has reached up to INR 18 lakhs per annum, while international opportunities have yielded packages as high as INR 25 lakhs per annum.
Year | Highest Package (Domestic) | Average Package (Domestic) | Median Package (Domestic) | Placement Percentage | PPOs Received |
---|---|---|---|---|---|
2020 | INR 12 lakhs | INR 7.5 lakhs | INR 6.5 lakhs | 90% | 45 |
2021 | INR 14 lakhs | INR 8.2 lakhs | INR 7.0 lakhs | 92% | 52 |
2022 | INR 16 lakhs | INR 9.0 lakhs | INR 7.8 lakhs | 94% | 58 |
2023 | INR 17 lakhs | INR 9.5 lakhs | INR 8.0 lakhs | 95% | 62 |
2024 | INR 18 lakhs | INR 10.2 lakhs | INR 8.5 lakhs | 93% | 67 |
The top recruiters for the Computer Science program include companies such as Microsoft, Amazon, Google, Flipkart, TCS, Infosys, Wipro, Accenture, IBM, Deloitte, Capgemini, Cognizant, Zoho, Oracle, and SAP. These organizations offer roles ranging from Software Engineer to Senior Developer, Data Scientist, Product Manager, UX Designer, and DevOps Engineer.
The recruitment process begins with campus placements, where companies conduct written tests, technical interviews, and group discussions. Internship opportunities are also available during the summer months, providing students with practical experience and enhancing their chances of securing full-time positions post-graduation.
Sector-wise analysis reveals that IT/Software remains the dominant sector for graduates, accounting for approximately 60% of placements. Core Engineering firms contribute around 15%, while Finance and Consulting sectors account for 10%. Analytics and PSUs make up the remaining 15%. In recent years, there has been a growing trend toward entrepreneurship, with several alumni starting their own ventures in fintech, edtech, healthtech, and IoT.
Internship season typically starts in March and ends in June. During this period, students work with leading companies such as Microsoft, Amazon, Google, and Flipkart for 3-6 months. Stipend amounts vary by company but generally range from INR 25,000 to INR 75,000 per month. Some companies offer additional benefits like travel allowances, accommodation, and performance bonuses.
Fees
Fee Head | Semester 1 | Semester 2 | Semester 3 | Semester 4 | Semester 5 | Semester 6 | Semester 7 | Semester 8 |
---|---|---|---|---|---|---|---|---|
Tuition Fee | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 | INR 1,20,000 |
Hostel Rent | INR 60,000 | INR 60,000 | INR 60,000 | INR 60,000 | INR 60,000 | INR 60,000 | INR 60,000 | INR 60,000 |
Mess Advance | INR 15,000 | INR 15,000 | INR 15,000 | INR 15,000 | INR 15,000 | INR 15,000 | INR 15,000 | INR 15,000 |
Student Benevolent Fund | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 |
Medical Fees | INR 2,000 | INR 2,000 | INR 2,000 | INR 2,000 | INR 2,000 | INR 2,000 | INR 2,000 | INR 2,000 |
Gymkhana Fees | INR 1,500 | INR 1,500 | INR 1,500 | INR 1,500 | INR 1,500 | INR 1,500 | INR 1,500 | INR 1,500 |
Examination Fees | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 | INR 3,000 |
Total | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 | INR 2,04,500 |
The tuition fee covers all academic services, including access to libraries, laboratories, and faculty mentorship. Hostel rent includes accommodation in shared rooms with basic amenities such as beds, wardrobes, study tables, and internet connectivity. The mess advance is a one-time payment that covers meal expenses for the semester and is adjusted at the end of the term based on actual consumption.
Hostel facilities at Mata Gujri University Kishangunj provide comfortable living arrangements with 24/7 security, laundry services, Wi-Fi connectivity, and recreational spaces. Students can opt for single or double occupancy rooms depending on availability and preferences. The mess system operates with a variety of vegetarian meals served daily, including breakfast, lunch, and dinner options.
Fee waivers and concessions are available for students belonging to SC/ST/PwD, EWS, and MCM categories. The eligibility criteria include income slabs, caste certificates, disability certificates, and other supporting documents. Students can apply online through the university portal after submitting necessary documentation. Benefits include partial or full waiver of tuition fees, hostel rent, and mess charges.
Payment procedures require students to complete registration within the specified deadline, usually two weeks after admission. Late payments incur a penalty fee of INR 500 per day until cleared. Refund policies are outlined in the university handbook, specifying conditions for withdrawal, deferral, or transfer requests. Students who withdraw before completing the first semester may receive a refund of fees minus administrative charges.
Specializations
- Artificial Intelligence and Machine Learning
- Cybersecurity and Network Security
- Software Engineering
- Data Science and Big Data Analytics
- Human-Computer Interaction (HCI)
- Embedded Systems and IoT
- Cloud Computing and DevOps
- Mobile Application Development
- Computer Graphics and Visualization
- Distributed Systems and Networking
Top Recruiters
- Microsoft
- Amazon
- Flipkart
- TCS
- Infosys
- Wipro
- Accenture
- IBM
- Deloitte
- Capgemini
- Cognizant
- Zoho
- Oracle
- SAP
- PayPal
- Uber
- Netflix
- Qualcomm
- Adobe
Keywords
- Computer Science
- Mata Gujri University
- Kishangunj
- B.Tech
- Engineering Program
- Placement Statistics
- Admissions Process
- Curriculum
- Fees Structure
- Specializations
- Internships
- Campus Life
- Research Opportunities
- Industry Collaboration
- Faculty Excellence
- Student Success Stories
- Alumni Network
- Innovation Labs
- Internship Programs
- Technical Skills
- Software Engineering
- Data Science
- AI & ML
- Cybersecurity
- Entrepreneurship