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CSE is an enthralling and unique innovative subject that encourages students to pursue creativity and technology.

Computer Science Engineering has roots in electrical engineering, mathematics, and linguistics.

Computer Engineers who work as systems analyst do research about the existing problems and plan solutions for the problem.

About Computer Science and Engineering (CSE)

The department offers B. Tech (Computer Science and Engineering) as major degree along with an option of minor degree in Artificial Intelligence & Data Science or Cyber Security or Cloud Computing or Full Stack Development.

Computer Science and Engineering (CSE) is one of the fastest growing segments of the industry today, it is also one of the fastest changing areas technologically. Every small scale to big scale IT company needs a Computer Engineer as the world is moving towards Digital World. It provides ample number of opportunities for the students to grasp enriched knowledge through curriculum driven by IT companies.

The major focus of this program is to nourish student’s skills on skill-based learning with heterogeneous requirements. The study of computer science involves systematic study of algorithms to acquire, represent, process, store, communicate and access information from a wide variety of sources. ...

Program Outcomes:

Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an Engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes:

Ability to apply mathematical concepts to solve computational and real world problems.
Ability to use domain knowledge of Computer Science to facilitate decision making analysis and problem solving.
Ability to design system solutions by operationalizing hardware and software components.
Utilize entrepreneurial ecosystem to identify research gaps and initiate new ventures.

Download Computer Science & Engineering Brochure


B. Tech (CSE) program is designed for the students who wish to start their career in the IT companies as Full Stack Developer, Software Developer, Mobile App Developer, Website Developer, UI/UX Developer, Database Experts, Cyber Security Expert, Network Experts, AI Engineer, Cloud Engineer, Data Engineer etc., acquiring an ability to develop diverse solutions, design novel products and solve complex problems.

Moreover, the students will be able to:

  • Understand the principles and working of computer systems by assessing the hardware and software aspects of computer systems.
  • Understand the structure and development methodologies of software systems. They will possess professional skills and knowledge of software design process, familiarity and practical competence with a broad range of programming language and open source platforms.
  • Apply mathematical methodologies to solve computation task, model real world problems using appropriate data structure and suitable algorithm.
  • Gain the ability to use knowledge in various domains to identify research gaps and hence provide solution to new ideas and innovations.

Key Highlights of the department:

  • The Department of Computer Science and Engineering, SEDA-E has skilled and experienced faculty.
  • The curriculum of the department is as per recent industrial needs.
  • The department has state-of-the-art infrastructure including high tech labs, latest books etc.
  • The department also provides opportunities for global certification with AWS, Palo-Alto, Oracle, Red Hat etc. in the field of AI, Cyber Security, Cloud Computing and Full Stack Development.
  • The alumni of the department are placed in top notch Multi-National Companies.
  • The department provides placement preparation classes and assist for placements

List of Major & Minor(s) Degree Offered for 2023 B. Tech CSE batch Onwards

Major Degree: Computer Science and Engineering

Optional Minor(s) Degree:

  • Artificial Intelligence & Data Science
  • Cyber Security
  • Cloud Computing
  • Full Stack Development

Head of the Department

Dr. Anurag Sharma is doctorate from Dr B. R. Ambedkar National Institute of Technology, Jalandhar in the field of Engineering (Artificial Intelligence). He is M.Tech and B.Tech from Punjab Technical University, Jalandhar. He has more than 18 years of total experience in Teaching as well as in Industry.

He worked with various industries like Bharat Electronics Limited, Punjab Communication Limited, Elcom Systems and in various educational institutions.

He is recipient of ISTE best teacher’s award four times and is Wipro Mission 10x certified faculty member. He has guided more than 4 PhD Scholars, 25 M.Tech students dissertation and is guiding 08 PhD scholars.

He has published more than 100 research articles in reputed international journals/conferences. He has received grants from Indian Council of Medical Research (ICMR), Department of Science and Technology (DST) and JiM Grant from UK for his research works.

Industry Collaborations


There will be an in-house summer internship of 4 weeks after the completion of 2nd Semester.

There will be summer internship of 6-8 weeks after the completion of 4th Semester.

There will be summer internship of 6-8 weeks after the completion of 6th Semester.



“To produce competent technocrats, researchers and entrepreneurs in the area of Computer Science and Engineering with technical skills and ethical values to be accepted globally, meeting societal expectations and to generate employability.”


  • To establish an environment that is conducive for learning and inculcation of professional ethics.
  • To provide real time exposure to latest hardware and software technologies in Computer Science for meeting the growing needs of industry.
  • To impart ethical, technical and holistic skills through a well-designed curriculum.
  • To promote entrepreneurship and R & D activities by encouraging the students to participate in national/international events.
  • To enhance industry-institute interaction for mutual benefits.

Program Educational Objectives (PEOs)

  • Graduates will be able to apply their technical skills in design and implementation of systems particularly in software and hardware components.
  • Graduates will be able to adapt, contribute, and innovate in the key domains of Computer Science and Engineering and relevant branches of engineering.
  • Graduates will be able to obtain employment in organizations or be entrepreneurs by establishing themselves as professionals and applying professional ethics and technical skills to solve real-life problems and meet the diversified needs of the industry, academia, and research sectors.


10+2 (Non-Medical) with 55% equivalent with (45 % for SC/ST/OBC) marks in aggregate from any recognized board

  • (Admission in first year)
    (Admission in 2nd Year Lateral Entry)
  • AICTE has prescribed the following eligibility criteria for admission in B. Tech/B. E Program in Engineering & Technology through Lateral entry to 2nd year.
  • Passed Minimum 3-years/2-years (Lateral Entry) Diploma examination with at least 55% marks (45% marks in case of candidates belonging to reserved category SC/ST) in any branch of Engineering and Technology.


4 years of skill based experience at GNA University’s campus


Keeping in view the interests of the student, we at GNA University, offer the student to choose multiple domains in engineering. Students may opt for a secondary field of engineering as Minor Engineering from 3rd semester, along with their primary chosen field. In order to have an additional Minor Engineering, a student must earn additional minimum 20 credits in the chosen field of minor engineering.


A student will be eligible to get Engineering degree with Honors, if he/she completes an additional 20 credits. These could be acquired through MOOCs/NPTEL courses subject to approval by the Dean/Head of the School of Engineering Design and Automation.


Students after getting the B.Tech in CSE can be placed in different areas like IT Industries/MNCs, academia, research, government, private or nonprofit organizations or can become Entrepreneur. Students of CSE get exposure to various challenges, problem formulation, test solutions, various advance multimedia equipment and also, they work as a team to develop various software.

New ideas are developed every day. Success will require an ongoing commitment to maintaining up-to-date knowledge as well as a dedication to push beyond the comfortable, to explore, innovate, and create.

Career Pathways:

  • Full Stack Developer
  • Software Engineer/Developer
  • Database Administrator
  • Web Developer
  • Software Tester
  • IT Architect
  • Network Administrator
  • System Analyst
  • Hardware Engineer
  • AI/ML Engineer
  • DATA Engineer
  • Data Scientist
  • Cloud Engineer
  • Cyber Security Expert



Students of GNA University after completion of B. Tech. Computer Science & Engineering with Data Analytics are placed at various reputed IT firms:

Teaching Pedagogy and Learning Methods

  • Analogy Based learning
  • Expert Lectures from Industry Experts
  • Industrial Visits
  • Project Based learning
  • Role Plays for learning

Some Glimpses:


Expert Lecture


Industrial Visit


Project Demonstration


Role Play for Networking


Faculty Wise Research Publications

Sr. No. Name of Faculty Research /Publications
1 Dr. Anurag Sharma

International/National Journals

  • IoT-Based Monitoring System for Diagnosing Adverse Drug Reactions and Enhancing Drug Compliance in TB Patients. (2023)
  • A multi-criteria decision-making tool for the screening of Asperger syndrome. (2023)
  • Selection of Parameters &assigning weight using fuzzy method for mobility management (2022)
  • Handoff Prediction in Edge Computing using hierarchical fuzzy inference system and machine learning approaches (2022).
  • IoT-Based Monitoring system for diagnosing adverse Drug Reactions and Enhancing Drug Compliance in TB Patients. (2023)
  • Optimal Task Scheduling using Egyptian Vulture Optimization Algorithm (Design Engineering 2021)
  • Voice Activity detection using windowing and Updated K-Means Clustering Algorithm (IEEE-2021)
  • An Accurate Integrated System to detect Pulmonary and Extra Pulmonary Tuberculosis using Machine Learning Algorithms (Inteligencia Artificial 2021)
  • Voice activity detection using optimal window overlapping especially over health-care infrastructure (World Journal of Engineering 2021)
  • Recognition of Voice and Noise based Artificial Neural Networks (Emerald Publishing Limited2021)
  • Demystifying Secure Graph Database for Analytics of Big Data (IJISC 2021).
  • An Accurate artificial intelligence system for the detection of pulmonary and extra pulmonary tuberculosis (Science Direct 2021)
  • Hybrid Egyptian Vulture optimization Algorithm Firefly Algorithm for Optimal Task Scheduling Cloud Environment (JECUST 2022).
  • Electrical Devices Scheduling in Home Energy Management System Using Egyptian Vulture Optimization Algorithm. (JOL2022).
  • Brain Region Segmentation with CNN and Advanced Filtering using Globally Guided Image Filtering and NLM Filter (TJCME 2021)

International/National Conferences

  • A Review on Applications of Edge Computing
  • Technological Intervention System for Attention Deficit Hyperactivity Disorder.
  • Contemporary Machine Learning Techniques for Brain Signal Processing- A Systematic Review (ICONIC-2023)
  • Technological Intervention System for Attention Deficit Hyperactivity Disorder (ICIPTM- 2023)
  • Recent Developments, Challenges and Future Scope of Voice Activity Detection Schemes – A review (ICTCS- 2020).
  • Automatic Detection of Tuberculosis with the help of Image Processing and Machine Learning Classifier (ICCET2021)

Books and Book Chapter Published

  • Mobility Management Framework in Edge Computing using Multi Criteria Decision Making. (Emerging Trend in Engineering and Management 2023)
  • Book (Futuristic Design and Intelligent Computational Techniques in Neuroscience and Neuro engineering) – (Book Chapter) Role of graph Theory in Computational Neuroscience. (2022)
  • Book Chapter – The Impact of Technology on children with Autism Spectrum Disorder (Taylor& Francis Group 2022)
  • Book (Advanced AI Techniques and Applications in Bioinformatics) – (Book Chapter) An Artificial Intelligence- Based Expert System for the Initial Screening of COVID-19(2021)
  • Book Chapter – An IoT Based Smart Jacket for Health Monitoring with Real- Time feedback.
  • Book (Artificial Intelligence) – (Book Chapter) Role of Artificial Intelligence for Diagnosing Tuberculosis (2021)
  • Book Published- Task Scheduling Algorithms for Cloud Computing: A critical Review and Open Research Challenges (2021)
2 Ms. Rajvir Kaur

International/National Conferences

Protein Structural Prediction based on hybridization of PSOFFA and CNN-BILSTIM (ICCCIS-2022).

3 Ms. Reena Agnihotri

International/National Journals

  • A Novel Approach to perform practical of Apache Hive. (Neuroquantology2022)
  • A review on fault tolerance in Cloud Computing (ECB 2023)
4 Dr. Sumit Chopra
Mr.Gagndeep Singh
Ms. Simranjot Kaur

International/National Journals

  • A Review of Plant Disease Detection Approaches Using Computation (Multidisciplinary Approach Journal)

International/National Conferences

  • Digital Image Forgery Detection by Using Multilevel Wavelet Transformation Technique (ICMIT 2022)
5 Ms. Shaina

International/National Journals

  • Multi-Objective IoT System Modelling and Analysis- Performance, energy, Reliability, Robustness (JECUST 2022)
  • Object Recognition by means of Machine Learning Practices in Amazon Web Services (JOL 2022)
  • Image Feature Eradication Using Hadoop with Gpu Accelerators (NVEO 2021)
  • Digital Marketing and Artificial Intelligence (Digitalization Impact on Economy (2021)
  • Deep Learning for Covid-19(CIMS2021)

International/National Conferences

  • A review Paper on Object detection and Recognition in Real Time Using Deep Learning (ICCAN 2022)
  • Bio-Inspired Optimization Algorithm on Cloud based Image Retrieval System Using Deep Features (IEEE 2021)
6 Dr.Anil Pandit

International/National Journals

  • Reliable Cyber Security and Improvement in E-learning System (JPSP 2022)
7 Mr.Amit Walia
Mr.Inderjit Singh

International/National Journals

  • The Best KM-EL Integration Model for an Enterprise (UGC care-II 2022)
  • The Challenges facing cybersecurity and emerging solution involved in cutting edge Technologies ( JECUST 2022)
8 Dr.Hitesh Marwaha

International/National Journals

  • Demystifying Secure Graph Database for Analytics of Big Data (IJISC 2021).
9 Mr.Narinder Kumar

International/National Conferences

  • Machine Learning Hybrid Approach for breast Cancer Disease (ICRTCCE2023)
  • A framework of Semantic Personalization Recommendation System (RDMAM2023)
  • Uses of dynamic features of face in lie Detection (RDMAM2023)
  • Lie Detection Using Facial Expression (ICETICT 2021)
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GNA University – Developing your potential is integral part of our curriculum fostering the paradigms of multiple intelligence, the top private University in north India.