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Courses Offered

Under Graduate Programmes

Program Details:
 
  • The B. Tech in Computer Science and Engineering aims to develop graduates that are not only well versed with traditional computing approaches but are also experienced in modern tools, technologies, and diverse applications.
  • The program has a comprehensive set of fundamental courses in computer science and many electives. This enables the students to build a program most suitable for them.
  • The program will prepare students to work in the IT industry as well as in the research areas like computer vision, machine learning, image processing, pattern recognition, virtual/augmented reality, etc.
  • The program will also provide current research trends for students, who want to pursue higher studies, to take up higher studies in CS.
Eligibility 10+2 (PCM) with 90% Marks
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Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure
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Curriculum Click here

Career Prospects: Software Engineer, System Analyst, Software Developer, System Scientist, System Engineer etc.

Program Details:
 
  • Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
  • Machine learning is so pervasive today that it is probably used dozens of times a day without knowing it by the people. Many researchers also think it is the best way to make progress towards human-level AI.
  • In this program, The Students will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for society. More importantly, Students will learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Course content shall be delivered by industry persons from IBM.
Eligibility 10+2 (PCM) with 90% Marks
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure
Click here APPLY NOW
Curriculum Click here

Career Prospects: Data Scientist, Machine Learning Scientist, Lead Machine Learning Researcher, Machine Learning Algorithm Developer, Video ML Engineer etc.

Program Details:
 
  • Cloud Computing is one of the fastest growing concepts in the IT industry today and being increasingly adopted by most of the business organizations to get out of the complexity of managing data centers and IT infrastructure.
  • B. Tech program in Cloud Computing teaches the students about cloud phenomenon and all the related technologies, Virtualization technology, which is the core technology on which the cloud-computing paradigm works; hence, its study scope is based on latest methodologies, models, and security trends. Besides teaching about the history of the cloud and its roots in Service Oriented Architecture, DevOps and Utility Security in Cloud Computing, it also gives an introduction to Open Source Software and Open Standards. Course content shall be delivered by industry persons from IBM.
Eligibility 10+2 (PCM) with 90% Marks
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure
Click here APPLY NOW
Curriculum Click here

Career Prospects: Cloud Solution Architects, Cloud System Administrator, Cloud Security Specialists, Cloud Application Development/Maintenance/Testing, Migration & Modernization Specialists and Cloud Project Managers.

Program Details:
 
  • The digitalization of data storage and the increase in the use of the internet has led to a massive boom in the amount of data produced across the world today. Data science is concerned with the acquisition, storage, retrieval, processing and finally the conversion of data into knowledge where the quantum of data is very large.
  • Two current disciplines that have a strong overlap with data science are computer science and statistics. Data science deals with principles, tools, and techniques that can help quickly segregate information and draw insights that can help in setting strategies and making decisions.
  • Artificial intelligence and deep learning algorithms have advanced rapidly to enable the development of machines that can now do tasks that require deep expertise and skills. Course content shall be delivered by industry persons from IBM.
Eligibility 10+2 (PCM) with 90% Marks
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure
Click here APPLY NOW
Curriculum Click here

Career Prospects: Robotics Engineer, AI Engineer, Data Architect, Data Science and AI Scientist etc.

Eligibility 10+2 (PCM) with 90% Marks
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure
Click here APPLY NOW
Curriculum Click here
Eligibility Aggregate 60% marks in XII Std APPLY NOW
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure Click here
Curriculum Click here
Eligibility Aggregate 75% for Girls and 80% for Boys, marks in XII Std APPLY NOW
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure Click here
Curriculum Click here
Eligibility Aggregate 60% marks in XII Std APPLY NOW
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure Click here
Curriculum Click here
Eligibility Aggregate 60% marks in XII Std APPLY NOW
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure Click here
Curriculum Click here
Eligibility Aggregate 60% marks in XII Std APPLY NOW
Admission Procedure Merit prepared on basis of (10+2)% / JEE Main Score
Fee Structure Click here
Curriculum Click here

 

Post Graduate Programmes

Program Details:

The M.Tech program in Computer Science and Engineering imparts a breadth of advanced knowledge in various areas of computer science.  The program aims at preparing the students to take up application, research and development activities in the core and emerging areas of computer science with special focus on Data Sciences, Cloud Computing, Image Processing etc. The program includes advanced level courses in Networking, Computer Architecture, Databases, and Algorithms, Distributed Computing and Computational Intelligence.
M. Tech Computer Science and Engineering provides a strong basis in computer science to those who are looking for a career in this industry. The purpose of this program is to generate the professionals capable of supporting R&D activities in critical areas related to computing.

Eligibility MCA, BTech (EC/IT/CS), MSc (CS) APPLY NOW
Admission Procedure Valid GATE Score / Merit, Personal Interview
Fee Structure
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Curriculum Click here

Career Prospects :

  • Students can apply these private and government sectors such as Telecommunications and networking, programming and software development, image processing graphics and multi-media programming, Data Mining specialists, Computer industry specialists.
  • MTech specialists in Computer Science can be Researcher, Scientists, Analysts and Banking Software Engineers, Game Developers, Windows System Engineers, Network Engineers.

 

Doctoral Programmes

Program Details:

Research areas: Computer Vision, Parallel Computing, Data Mining, Big Data Storage Analysis, Cloud Computing, Ad-Hoc Networks, Image Processing, Machine Learning, Cognitive Radios, Data Analytics. Software Engineering.

Eligibility Master’s Degree from any AIU/UGC/AICTE recognized University/ Institutions or any other qualification recognized as equivalent thereto in the fields of study notified from time to time by the University. A minimum of 55% marks or CGPA of 5.5 on a 10 point scale in the qualifying examination (50% marks or CGPA of 5.0 on a 10 point scale for SC/ST candidates).

Contact person for PhD. Admissions:

Office of Dean Research
Email: phdinfo@geu.ac.in
      Office No:+91-135-2643421 (Ext. 232), 2642727

Admission Procedure Admissions are on the basis of GATE/NET/SLET scores or written test followed by interview by the Department concerned with due attention to National/State Reservation.