B.Tech. CSE (Edge Computing)

About the Programme

B. Tech. (Bachelor of Technology) in Computer Science and Engineering (Edge Computing ) is a program offered by the School of Computer Science & Engineering VIT-AP University, Amravati. Aiming to shape students to process of capturing, storing, processing and analyzing data closer to data sources such as IoT devices or local edge servers, where the data is generated using distributed and cloud computing.



  • The applicant should be a Resident / Non-Resident Indian National / PIO / OCI.
  • NRI applicants can directly apply under ‘NRI Category’ through NRI application form. (https://vit.ac.in/admissions/international/overview)
  • Foreign applicants who studied/studying abroad can apply directly through the International application form.(Will be available shortly)
Age Limit
  • Applicants whose date of birth falls on or after 1st July 2002 are eligible to apply for Engineering admission 2024.
  • The date of birth as recorded in the High School / SSC / X Certificate will be considered authentic.
  • Applicants should produce this certificate in original as proof of their age at the time of counseling/admission, failing which their candidacy for admission will be disqualified.


Application Process




Tuition Fees (Per Annum)INR 1,95,000 *
Caution Deposit (Refundable) INR 3,000
Total fees to be paid for first yearINR 1,98,000

(*after concession)


Key Features

  • 1.Fast Data Processing
  • 2.Fast Response Speed
  • 3.Real time Services
  • 4.Video Monitoring


Career Prospectus

Edge computing is an emerging technology which can save cost, improve speed, and avoid latency in the activities of the devices in which it is installed. This course prepares students for careers in the field of autonomous vehicles, remote monitoring of assets in the oil and gas industry, smart grid, predictive maintenance, patient monitoring, virtualised radio networks and 5G (vRAN), cloud gaming, etc.

The primarily concern is to automate the manufacturing processes, improving the quality of human life and replacing humans in hazardous environments. This course also helps to choose the higher study and research in future oriented technologies.


Design Your Own Degree (DYOD)



Double Major

Artificial Intelligence and Machine Learning


Electronics & Communication Engineering

Data Analytics

Image and Video Processing

Mechanical Engineering

Cyber Security

Embedded Systems

Applied Science

Edge Computing

Internet of Things (IoT)

Business Management

Software Engineering

Electronics & Comm. Engineering


Geo Informatics

Electric Vehicle Technology

Digital Humanities


Digital Manufacturing

Media and Communication

Automotive Design


Mechanical Engineering


Digital Marketing


Performing Arts

Computational Mathematics

Corporate Law


Know Your Opportunity

Graduates of our programme have a wide range of employment options, including but not limited to the following: Typical jobs roles will span both hardware and software and will include profiles such as Edge Application Developer, Edge Networking Specialist, Edge Architect, Consultant (Edge Computing/IoT) and Hardware Design Engineer. The Edge Computing Market size is estimated at USD 15.59 billion in 2024, and is expected to reach USD 32.19 billion by 2029, growing at a CAGR of 15.60% during the forecast period (2024-2029). The increasing adoption of IoT is augmented by 5G operations, primarily driving the growth of the market studied.


Programme Outcomes

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering

3. Design and development of solutions: 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.

4. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid

5. Modern tool usage: 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

6. The engineer and society: 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.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering

9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary

10. Communication: 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

11. Project management and finance: 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

12. Life-long learning: Recognize the need for and have the preparation and ability to engage independent and life-long learning in the broadest context of technological change.


Programme Educational Objectives

1. Graduates will be engineering practitioners and leaders, who would help solve industry’s technological problems.

2. Graduates will be engineering professionals, innovators or entrepreneurs engaged in technology development, technology deployment, or engineering system implementation in industry.

3. Graduates will function in their profession with social awareness and responsibility.

4. Graduates will interact with their peers in other disciplines in industry and society and contribute to the economic growth of the country.

5. Graduates will be successful in pursuing higher studies in engineering or management.

6. Graduates will pursue career paths in teaching or research


Programme Specific Outcome

1. Edge computing uses locally generated data to enable real-time responsiveness to create new experiences, while at the same time controlling sensitive data and reducing costs of data transmission to the cloud.

2. Edge computing allows devices in remote locations to process data at the “edge” of the network, either by the device or a local server. And when data needs to be processed in the central data center, only the most important data is transmitted, thereby minimizing latency.



1. Will CSE (Edge Computing) Students Eligible for CSE Jobs?
A. Yes, they will be and will have the same placement opportunities.




Contact Us

Dr. Anil V. Turukmane
Professor & HOD Network & Security Department
VIT-AP University, Amaravathi, Andra Pradesh


0863 23700897