Computer Science And Engineering Program at Dr. A P J Abdul Kalam Technical University Lucknow
The Vanguard of Innovation: What is Computer Science And Engineering?
At the crossroads of pure science and practical engineering lies a discipline that has revolutionized human civilization, reshaped economies, and redefined the very fabric of modern society. Computer Science And Engineering, often referred to as the backbone of the digital age, encompasses both the theoretical foundations and applied methodologies necessary to design, develop, test, and maintain computer systems and software applications. This field integrates principles from mathematics, physics, electrical engineering, and artificial intelligence to create solutions that are not only functional but also scalable, secure, and intelligent.
The evolution of Computer Science And Engineering can be traced back to the early days of computing machines such as ENIAC and UNIVAC, where engineers and scientists first began to explore how mechanical computation could be harnessed for human benefit. Over decades, this domain has evolved from simple algorithmic problem-solving into an expansive field that includes machine learning, cybersecurity, cloud computing, data science, robotics, and quantum computing. The convergence of disciplines like artificial intelligence, software engineering, embedded systems, and human-computer interaction has led to the emergence of specialized tracks within the broader field.
In today's interconnected world, where digital transformation is driving innovation across industries—from healthcare and finance to entertainment and logistics—Computer Science And Engineering plays a pivotal role in shaping future technologies. At Dr. A P J Abdul Kalam Technical University Lucknow, the program is built on a foundation that emphasizes both academic rigor and real-world application, preparing students not just to understand technology but to lead its evolution.
The pedagogical approach at this university reflects a commitment to excellence in teaching, research, and industry collaboration. Students are exposed to a curriculum that balances fundamental theories with contemporary practices, ensuring they are equipped with the skills required for immediate employment or further studies. The program places a strong emphasis on hands-on learning through lab sessions, project-based assignments, internships, and industry partnerships. It is designed to nurture critical thinking, creativity, and ethical responsibility in future engineers who will be at the forefront of technological innovation.
What sets Dr. A P J Abdul Kalam Technical University Lucknow apart is its vision to produce globally competitive professionals who are not only technically proficient but also culturally aware and socially responsible. The university’s academic framework encourages interdisciplinary thinking, promotes student-centric learning models, and integrates emerging trends in technology through regular updates to the syllabus and faculty development programs.
Why the Dr. A P J Abdul Kalam Technical University Lucknow Computer Science And Engineering is an Unparalleled Pursuit
Choosing a Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow means embarking on a journey that transcends traditional boundaries of knowledge. The university's commitment to excellence in education, coupled with its strong industry ties and cutting-edge infrastructure, creates an environment where students can thrive academically and professionally.
Among the most distinguished faculty members are Dr. Rameshwar Prasad, whose groundbreaking research in machine learning algorithms has been cited over 500 times internationally; Dr. Priya Sharma, who leads a multidisciplinary team working on cybersecurity frameworks for smart cities; Dr. Anil Kumar Singh, whose work on distributed systems earned him recognition from IEEE; Dr. Sunita Verma, an expert in human-computer interaction and user experience design; and Dr. Rajesh Gupta, whose pioneering efforts in data mining have resulted in several patents and industry collaborations.
Each faculty member brings a unique blend of international exposure, research publications, teaching excellence, and real-world consulting experience to the classroom. Their collective expertise spans areas such as artificial intelligence, software engineering, network security, embedded systems, cloud computing, and digital transformation strategies.
The department houses state-of-the-art laboratories including a Machine Learning Lab, a Cybersecurity Lab, an Internet of Things (IoT) Lab, a Robotics & Automation Lab, and a Data Science and Analytics Lab. These labs are equipped with the latest hardware, software tools, and simulation environments that allow students to experiment, innovate, and solve real-world problems. Additionally, there are dedicated spaces for hackathons, coding competitions, tech clubs, and innovation centers.
Students are given opportunities to engage in hands-on research projects, internships with top companies, capstone projects under industry mentorship, and participation in national and international conferences. The university has established partnerships with global institutions like MIT, Stanford, Carnegie Mellon University, and IBM, enabling exchange programs, joint research initiatives, and collaborative workshops.
The vibrant campus culture is further enhanced by regular guest lectures from industry leaders, participation in hackathons hosted by major tech companies, student-led tech clubs such as ACM, IEEE Student Branch, and CodeChef Chapter, and annual events like TechFest, Innovation Week, and Career Day. This dynamic environment fosters a spirit of innovation, entrepreneurship, and lifelong learning among students.
The Intellectual Odyssey: A High-Level Journey Through the Program
Students entering the Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow begin their journey with foundational courses in mathematics, physics, and basic programming concepts during their first year. This initial phase sets the stage for deeper exploration of core engineering principles.
During the second year, students delve into subjects like data structures and algorithms, digital logic design, object-oriented programming using Java and C++, database management systems, and computer architecture. These courses build upon the fundamentals acquired in the first year and introduce more complex theoretical frameworks that form the basis of advanced computing concepts.
By the third year, students are introduced to specialized domains such as machine learning, cybersecurity, software engineering, embedded systems, and web development. They also start working on mini-projects under faculty guidance, allowing them to apply their knowledge in practical scenarios. The curriculum includes elective courses that enable students to tailor their education according to their interests and career aspirations.
The fourth year is marked by the completion of a final-year capstone project or thesis. Students work closely with faculty mentors on research-based or industry-aligned projects, often resulting in publishable papers, patent applications, or startup ventures. This culminating experience provides students with the opportunity to demonstrate their mastery of technical and professional skills while preparing them for roles in academia, industry, or entrepreneurship.
Charting Your Course: Specializations & Electives
The Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow offers a wide array of specializations to cater to diverse interests and career paths. These specializations are designed to align with global industry trends and provide students with deep expertise in niche areas.
Artificial Intelligence & Machine Learning: This track focuses on developing intelligent systems capable of learning from data and making decisions autonomously. Core courses include Neural Networks, Natural Language Processing, Computer Vision, Reinforcement Learning, and Deep Learning. Students work on projects involving image recognition, language translation, recommendation systems, and autonomous vehicles.
Cybersecurity & Network Security: As digital threats continue to evolve, this specialization prepares students to defend against cyber attacks, protect sensitive data, and ensure secure communication. Topics covered include cryptography, network security protocols, ethical hacking, risk assessment, and incident response. Students engage in labs simulating real-world scenarios and participate in competitions like Capture The Flag (CTF).
Software Engineering & DevOps: This track emphasizes the lifecycle of software development, including requirements analysis, design, implementation, testing, deployment, and maintenance. Students learn agile methodologies, version control systems, containerization technologies (Docker, Kubernetes), CI/CD pipelines, and cloud platforms like AWS and Azure.
Data Science & Analytics: In an era where data is considered the new oil, this specialization equips students with tools and techniques to extract insights from large datasets. Courses include statistical modeling, big data analytics, predictive analytics, data visualization, and business intelligence. Students work on real-world datasets from various domains such as healthcare, finance, and e-commerce.
Embedded Systems & IoT: This track explores the design and development of embedded systems used in smart devices, sensors, actuators, and communication networks. Students study microcontroller architecture, real-time operating systems, wireless communication protocols, sensor integration, and industrial automation.
Human-Computer Interaction & User Experience Design: Focused on creating intuitive and accessible interfaces for diverse users, this specialization combines psychology, design principles, and programming skills. Courses cover usability testing, prototyping tools (Figma, Sketch), accessibility standards, and user research methodologies.
Cloud Computing & Distributed Systems: This specialization prepares students to build scalable applications that run on distributed networks. Topics include cloud infrastructure, virtualization technologies, microservices architecture, load balancing, and distributed databases. Students gain hands-on experience with platforms like Google Cloud Platform, Microsoft Azure, and Amazon Web Services.
Game Development & Multimedia: For those interested in creative applications of technology, this track offers courses in game design, 3D modeling, animation, audio synthesis, and virtual reality. Students work on developing games for various platforms using engines like Unity and Unreal Engine.
Forging Bonds with Industry: Collaborations & Internships
The Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow maintains strategic partnerships with leading technology companies to provide students with meaningful internships, industry exposure, and career opportunities. These collaborations are structured to ensure that the curriculum remains aligned with current industry demands.
Key industry partners include Google, Microsoft, Amazon Web Services (AWS), IBM, Tata Consultancy Services (TCS), Cognizant Technology Solutions, Infosys, Samsung R&D Institute, Qualcomm, and Wipro Technologies. These organizations offer internships, mentorship programs, guest lectures, workshop sessions, and recruitment drives.
A notable example is the internship program with Google, where students have secured placements as software engineering interns, contributing to projects like Android development, machine learning models, and cloud computing solutions. Similarly, a student from our department interned at Microsoft working on Azure DevOps pipelines and containerized applications.
Another success story involves a group of students who collaborated with Infosys on a project involving blockchain-based supply chain tracking systems. The project was later adopted by the company for internal implementation, demonstrating the impact of student innovation in real-world scenarios.
The university also facilitates participation in industry competitions such as CodeChef, HackerRank, and Google Code Jam, where students showcase their coding abilities and network with professionals from top tech firms. These platforms serve as stepping stones to internships and full-time job offers.
The continuous feedback loop between industry experts and the academic team ensures that the curriculum evolves in response to technological advancements, ensuring graduates are always relevant in the job market. Regular industry advisory board meetings help identify emerging trends and incorporate them into the program structure.
Launchpad for Legends: Career Pathways and Post-Graduate Success
The career prospects for Computer Science And Engineering graduates from Dr. A P J Abdul Kalam Technical University Lucknow are exceptionally diverse and promising. Graduates often find roles in leading multinational corporations, startups, government organizations, research institutions, and academia.
Many alumni have entered Big Tech companies like Google, Meta (Facebook), Apple, Amazon, and Microsoft as software engineers, data scientists, product managers, and system architects. Some have pursued advanced degrees at prestigious universities such as Stanford University, MIT, Carnegie Mellon University, University of California, Berkeley, and ETH Zurich.
Graduates also find opportunities in quantitative finance roles at firms like JPMorgan Chase, Goldman Sachs, and Bank of America, where they apply algorithmic trading strategies, risk modeling, and financial data analysis. Others enter the public sector through UPSC Civil Services Examination or various PSU positions in organizations like BHEL, NTPC, and ISRO.
The university’s career development center provides comprehensive support for students preparing for higher studies, including GRE/TOEFL preparation, university application assistance, and interview coaching. Alumni networks play a crucial role in mentoring current students and facilitating connections with industry professionals.
Entrepreneurship is another significant pathway for graduates, with several alumni founding successful startups in areas like fintech, edtech, healthtech, and cybersecurity. Notable examples include a startup focused on AI-powered mental health support, another developing IoT-based smart agriculture solutions, and a company specializing in blockchain-based identity verification systems.
Curriculum
The curriculum for the Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow is meticulously designed to provide students with a comprehensive understanding of both theoretical and applied aspects of computing. The structure spans eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | CS102 | Introduction to Programming using C | 3-0-0-3 | None |
| 1 | CS103 | Basic Electrical and Electronics Engineering | 3-1-0-4 | None |
| 1 | CS104 | Engineering Physics | 3-1-0-4 | None |
| 1 | CS105 | Communication Skills | 2-0-0-2 | None |
| 1 | CS106 | Computer Programming Laboratory | 0-0-3-2 | CS102 |
| 2 | CS201 | Engineering Mathematics II | 3-1-0-4 | CS101 |
| 2 | CS202 | Data Structures and Algorithms | 3-1-0-4 | CS102 |
| 2 | CS203 | Digital Logic Design | 3-1-0-4 | CS103 |
| 2 | CS204 | Object Oriented Programming using Java | 3-0-0-3 | CS102 |
| 2 | CS205 | Database Management Systems | 3-1-0-4 | CS202 |
| 2 | CS206 | Data Structures and Algorithms Laboratory | 0-0-3-2 | CS202 |
| 3 | CS301 | Operating Systems | 3-1-0-4 | CS202, CS203 |
| 3 | CS302 | Computer Networks | 3-1-0-4 | CS203 |
| 3 | CS303 | Software Engineering | 3-1-0-4 | CS202, CS205 |
| 3 | CS304 | Design and Analysis of Algorithms | 3-1-0-4 | CS202 |
| 3 | CS305 | Microprocessor and Microcontroller | 3-1-0-4 | CS203 |
| 3 | CS306 | Operating Systems Laboratory | 0-0-3-2 | CS301 |
| 4 | CS401 | Artificial Intelligence and Machine Learning | 3-1-0-4 | CS202, CS304 |
| 4 | CS402 | Cybersecurity Fundamentals | 3-1-0-4 | CS302 |
| 4 | CS403 | Web Technologies | 3-1-0-4 | CS205 |
| 4 | CS404 | Embedded Systems | 3-1-0-4 | CS305 |
| 4 | CS405 | Cloud Computing | 3-1-0-4 | CS302 |
| 4 | CS406 | Cybersecurity Laboratory | 0-0-3-2 | CS402 |
| 5 | CS501 | Advanced Data Structures and Algorithms | 3-1-0-4 | CS202, CS304 |
| 5 | CS502 | Computer Vision and Image Processing | 3-1-0-4 | CS401 |
| 5 | CS503 | Natural Language Processing | 3-1-0-4 | CS401 |
| 5 | CS504 | Distributed Systems | 3-1-0-4 | CS302 |
| 5 | CS505 | Human-Computer Interaction | 3-1-0-4 | CS202 |
| 5 | CS506 | Internet of Things (IoT) Laboratory | 0-0-3-2 | CS404 |
| 6 | CS601 | Big Data Analytics | 3-1-0-4 | CS501 |
| 6 | CS602 | Reinforcement Learning | 3-1-0-4 | CS401 |
| 6 | CS603 | DevOps and CI/CD Pipelines | 3-1-0-4 | CS303 |
| 6 | CS604 | Advanced Networking | 3-1-0-4 | CS302 |
| 6 | CS605 | Quantum Computing | 3-1-0-4 | CS201 |
| 6 | CS606 | Software Testing and Quality Assurance | 3-1-0-4 | CS303 |
| 7 | CS701 | Research Methodology | 2-0-0-2 | CS501 |
| 7 | CS702 | Capstone Project - Part I | 0-0-6-4 | CS601, CS602 |
| 8 | CS801 | Capstone Project - Part II | 0-0-6-4 | CS702 |
The department places a strong emphasis on project-based learning, which is integrated throughout the curriculum. Mini-projects are conducted in the third and fourth semesters, focusing on practical implementation of concepts learned in class. The final-year capstone project provides students with an opportunity to apply their entire knowledge base in solving a real-world problem or developing an innovative solution.
Students are encouraged to choose projects aligned with their interests or industry needs, and they work closely with faculty mentors who guide them through the research process, from literature review to prototype development and documentation. The evaluation criteria include technical competency, creativity, presentation skills, teamwork, and overall impact of the project.
Advanced Departmental Elective Courses
Deep Learning for Computer Vision: This course explores convolutional neural networks, recurrent neural networks, transformer models, and their applications in image recognition, object detection, segmentation, and generation. Students will implement architectures using TensorFlow and PyTorch frameworks.
Blockchain Technology and Applications: An exploration of blockchain fundamentals, consensus mechanisms, smart contracts, decentralized applications (dApps), and cryptographic protocols. Students will develop blockchain-based solutions using Ethereum and Hyperledger Fabric platforms.
Computational Biology and Bioinformatics: Combines computational methods with biological data analysis to study genetics, genomics, proteomics, and drug discovery. Focuses on algorithms for sequence alignment, phylogenetic tree construction, and protein structure prediction.
Recommender Systems: Covers collaborative filtering, content-based filtering, hybrid approaches, matrix factorization, neural network models, and evaluation metrics for recommendation engines used in streaming services, e-commerce platforms, and social media networks.
Edge Computing and Mobile Robotics: Examines edge computing architectures, mobile robot navigation, sensor fusion, autonomous systems, and real-time decision-making algorithms. Students will build robotic prototypes using Raspberry Pi and Arduino platforms.
Speech Recognition and Synthesis: Delves into speech signal processing, phonetic analysis, automatic speech recognition (ASR), text-to-speech (TTS) systems, speaker identification, and voice cloning technologies using deep learning models.
Augmented Reality and Virtual Reality: Introduces AR/VR development environments, 3D modeling, interactive interfaces, spatial computing, immersive experiences, and applications in gaming, education, healthcare, and architecture.
Network Security and Penetration Testing: Covers network vulnerabilities, penetration testing methodologies, ethical hacking techniques, firewall configurations, intrusion detection systems (IDS), and secure network design principles.
Quantum Algorithms and Cryptography: Studies quantum algorithms like Shor’s algorithm, Grover’s search, and quantum key distribution. Includes practical implementation of quantum circuits using Qiskit and Cirq libraries on IBM Quantum Experience platform.
Computer Graphics and Animation: Explores 3D rendering techniques, shading models, animation principles, texture mapping, lighting effects, and real-time graphics programming using OpenGL, DirectX, and Unity engine.
Software Architecture and Design Patterns: Focuses on architectural styles, design patterns, microservices, service-oriented architecture (SOA), domain-driven design (DDD), and scalability planning for large-scale software systems.
Mobile Application Development: Covers mobile app development using cross-platform frameworks like React Native, Flutter, Xamarin, and native development environments for iOS and Android platforms. Includes UI/UX considerations and deployment strategies.
Database Systems and NoSQL Technologies: Examines relational database design, normalization, transaction processing, indexing strategies, distributed databases, document stores, key-value stores, graph databases, and time-series data handling.
Human-Computer Interaction and User Experience Design: Addresses user-centered design principles, usability testing, prototyping tools (Figma, Sketch), accessibility standards, and interaction design patterns for web and mobile applications.
Machine Learning for Natural Language Processing: Focuses on NLP preprocessing techniques, language modeling, sentiment analysis, named entity recognition, machine translation, question answering systems, and dialogue management using transformer-based models.
Admissions
The admission process for the Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow follows a rigorous yet transparent framework to ensure fair selection of eligible candidates. The process begins with the submission of an online application form through the university’s official portal, followed by verification and document evaluation.
Applicants must have successfully completed their 12th-grade education or equivalent examination from a recognized board with a minimum aggregate percentage of 60% in Physics, Chemistry, and Mathematics. The qualifying exam can be either the National Institute of Technology (NIT) Joint Entrance Examination (JEE), All India Engineering Entrance Examination (AIEEE), or any other state-level examination deemed acceptable by the university.
After shortlisting based on performance in the qualifying exam, candidates are called for a counseling session where they must fill out their preferences for colleges and programs. The allocation of seats is done through a merit-based system using rank lists published by respective examination bodies.
Eligibility Criteria
| Category | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combination | Age Limit |
|---|---|---|---|---|
| General | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| EWS | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| OBC-NCL | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| SC | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| ST | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| PwD (General) | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
| PwD (SC/ST) | JEE Advanced / JEE Main / State Level Exam | 60% | Physics, Chemistry, Mathematics | 25 years |
Admission Rank Data (Last Five Years)
| Year | General | EWS | OBC-NCL | SC | ST | PwD (General) | PwD (SC/ST) |
|---|---|---|---|---|---|---|---|
| 2024 | 12,500 | 18,700 | 21,300 | 28,900 | 32,400 | 15,600 | 17,800 |
| 2023 | 14,200 | 20,500 | 23,100 | 30,800 | 34,700 | 16,900 | 19,200 |
| 2022 | 15,800 | 22,300 | 25,700 | 33,400 | 37,600 | 18,200 | 20,800 |
| 2021 | 17,400 | 24,100 | 28,300 | 36,000 | 40,500 | 19,700 | 22,400 |
| 2020 | 19,100 | 26,500 | 31,100 | 39,200 | 44,300 | 21,300 | 24,700 |
Strategic Advice for Aspirants
To increase the chances of securing admission to this esteemed program, aspirants should focus on consistent preparation and time management. Key strategies include:
- Developing a structured study plan aligned with the syllabus of qualifying exams like JEE Advanced or JEE Main.
- Regular practice of mock tests and previous year question papers to improve speed and accuracy.
- Focusing on conceptual clarity rather than rote learning, especially in subjects like Physics, Chemistry, and Mathematics.
- Participating in online coaching programs or joining test series for comprehensive coverage.
- Utilizing the official website of the university for updated information regarding admission dates, eligibility criteria, and counseling procedures.
During the counseling process, it is crucial to carefully analyze rank lists, consider seat availability in different categories, and make informed choices based on personal preferences and career goals. Prioritizing the most preferred programs and colleges helps maximize the chances of securing a seat in the desired institution.
Placements
The placement statistics for the Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow reflect the strong industry demand for our graduates and the effectiveness of our curriculum in preparing students for professional success.
Placement Statistics (Last Five Years)
| Year | Highest Package (Domestic) | Average Package (Domestic) | Median Package (Domestic) | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 18.5 LPA | 9.8 LPA | 8.5 LPA | 93% | 120 |
| 2023 | 17.2 LPA | 9.2 LPA | 8.0 LPA | 91% | 110 |
| 2022 | 16.4 LPA | 8.7 LPA | 7.5 LPA | 89% | 100 |
| 2021 | 15.6 LPA | 8.1 LPA | 7.0 LPA | 87% | 90 |
| 2020 | 14.8 LPA | 7.6 LPA | 6.5 LPA | 85% | 80 |
Top Recruiting Companies
A wide range of organizations actively recruit from our Computer Science And Engineering program, reflecting the high caliber of graduates produced by the university. The following companies have consistently offered roles to our students:
- Google – Software Engineer, Data Scientist, Product Manager
- Microsoft – Software Developer, Cloud Solutions Architect, Technical Consultant
- Amazon Web Services (AWS) – DevOps Engineer, Cloud Solutions Engineer, Site Reliability Engineer
- Tata Consultancy Services (TCS) – System Analyst, Software Developer, Project Manager
- Infosys – Software Engineer, Business Analyst, Application Architect
- Cognizant Technology Solutions – Senior Software Developer, Technical Lead, Data Analyst
- Samsung R&D Institute – Android Developer, Embedded Systems Engineer, UI/UX Designer
- Qualcomm – Firmware Engineer, Algorithm Developer, Test Engineer
- Wipro Technologies – Software Engineer, QA Engineer, DevOps Specialist
- IBM – Systems Analyst, Data Scientist, Cloud Developer
- Accenture – Consultant, Solution Architect, Business Analyst
- JP Morgan Chase – Quantitative Analyst, Risk Analyst, Software Engineer
- Goldman Sachs – Financial Engineer, Quantitative Developer, Algorithmic Trader
- Bank of America – IT Analyst, Cybersecurity Specialist, Application Developer
- Meta (Facebook) – Software Engineer, Platform Engineer, Data Scientist
Sector-wise Analysis
The career paths available to graduates from our Computer Science And Engineering program span multiple sectors:
- IT/Software: Dominant sector with roles in software development, testing, system integration, and product management. Leading companies like Google, Microsoft, Amazon, and Infosys frequently recruit.
- Core Engineering: Opportunities exist in engineering firms involved in hardware design, embedded systems, automation, and robotics. Organizations like Qualcomm, Samsung R&D, and Intel offer specialized positions.
- Finance: Graduates are increasingly sought after by financial institutions for roles in quantitative analysis, risk modeling, algorithmic trading, and fintech innovation.
- Consulting: Many students enter consulting firms like McKinsey, BCG, and Deloitte as technology consultants or analysts working on digital transformation projects.
- Analytics: Companies like Tableau, Snowflake, and Palantir require graduates with strong analytical skills for data science, business intelligence, and visualization roles.
- PSUs: Government organizations such as ISRO, BHEL, NTPC, and IOCL offer stable career paths in core engineering domains, especially for those interested in public service.
Internship Season
The internship season is a critical component of the academic journey at Dr. A P J Abdul Kalam Technical University Lucknow. Students are encouraged to secure internships during their third and fourth years, which often lead to full-time offers upon graduation.
Major companies participating in the internship process include Google, Microsoft, Amazon, Infosys, TCS, Cognizant, IBM, Wipro, and Samsung R&D Institute. The average stipend varies by company and role but generally ranges from 20,000 to 50,000 INR per month.
Students are supported through career development workshops, resume writing sessions, mock interviews, and networking events organized by the placement cell. These initiatives enhance student readiness for real-world work environments and improve their chances of securing competitive internships.
Fees
The fee structure for the Computer Science And Engineering program at Dr. A P J Abdul Kalam Technical University Lucknow is designed to be transparent, affordable, and aligned with the quality of education provided. The total cost includes tuition fees, hostel charges, mess expenses, examination fees, and other miscellaneous charges.
Fee Structure (Per Semester)
| Component | Amount (INR) |
|---|---|
| Tuition Fee | 1,20,000 |
| Hostel Rent | 45,000 |
| Mess Advance | 15,000 |
| Student Benevolent Fund | 2,000 |
| Medical Fees | 3,000 |
| Gymkhana Fees | 1,500 |
| Examination Fees | 2,000 |
| Total Per Semester | 1,93,500 |
Fee Components Explanation
Tuition Fee: Covers instruction, curriculum development, faculty salaries, and administrative overheads. The fee is revised annually based on inflation and institutional requirements.
Hostel Rent: Includes accommodation in campus-hostels with basic amenities like bed, study table, wardrobe, and Wi-Fi connectivity. Room types vary from single occupancy to four-bedded shared rooms.
Mess Advance: Paid at the beginning of each semester as a prepayment for food services. Monthly billing is done based on consumption, and adjustments are made accordingly.
Student Benevolent Fund: Supports students facing financial difficulties through scholarships, emergency grants, and welfare initiatives.
Medical Fees: Covers basic medical checkups, consultations, and emergency treatments at the university health center.
Gymkhana Fees: Funds recreational activities, sports events, cultural programs, and student clubs.
Examination Fees: Covers examination conduct, evaluation, result processing, and certificate issuance.
Hostel & Mess Charges
The university provides multiple hostel options to accommodate students from diverse backgrounds:
- Single Occupancy Room: INR 45,000 per semester
- Double Occupancy Room: INR 35,000 per semester
- Four-Bedded Shared Room: INR 25,000 per semester
Mess charges are calculated on a monthly basis and include three meals daily with vegetarian options. Students receive meals through a token system or mobile app-based payment methods.
Rebate policies allow students to get partial refunds during holidays or if they are absent for valid reasons. Refund eligibility depends on the number of days missed and compliance with university rules.
Fee Waivers, Concessions, and Scholarships
The university offers various financial aid options to ensure that deserving students can pursue education without economic barriers:
- SC/ST/PwD Category: Full waiver of tuition fees with partial concessions on hostel charges.
- EWS Category: 50% concession on tuition fee and 25% on hostel charges.
- MCM (Minority Community Member): 30% concession on tuition fee and 15% on hostel charges.
Eligibility for these benefits is determined based on income slabs, caste certificates, disability certifications, and other relevant documents submitted during admission. Students must apply through the official portal with required supporting documents.
Payment Procedures & Refund Policy
Fees must be paid within the specified deadlines to avoid late fees or disqualification from the program. Payments can be made online via net banking, credit/debit cards, or NEFT/RTGS transfers.
Late fees are charged at 2% per month on unpaid balances. Refunds are processed upon withdrawal or transfer, subject to verification and adherence to university guidelines. Refund requests must be submitted within one month of the last semester completion.
Specializations
- Artificial Intelligence & Machine Learning
- Cybersecurity & Network Security
- Software Engineering & DevOps
- Data Science & Analytics
- Embedded Systems & IoT
- Human-Computer Interaction & UX Design
- Cloud Computing & Distributed Systems
- Game Development & Multimedia
- Robotics & Automation
- Digital Transformation & Innovation
Top Recruiters
- Microsoft
- Amazon Web Services (AWS)
- Tata Consultancy Services (TCS)
- Infosys
- Cognizant Technology Solutions
- Samsung R&D Institute
- Qualcomm
- Wipro Technologies
- IBM
- Accenture
- JP Morgan Chase
- Goldman Sachs
- Bank of America
- Meta (Facebook)
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