B. Tech. - Employability
Computer Science & Engineering
Mode
Regular
Seats
60
Level
Graduate
Duration
4 Years
- Overview
- Course Structure
- Certifications
- Labs
- Career Prospects
- Mode of Admission
- Eligibility
Empowered by : CDAC, NASSCOM & Future Prime Skill
Approved by :Ministry of Electronics & Information Technology, Government of India
Computer Science Engineering (CSE) is one of the most popular courses among engineering aspirants which focuses on the basic elements of computer programming and networking. Students pursuing computer science courses will gain knowledge of design, implementation and management of information system of both hardware and software. CSE course deals primarily with the theory of computation and design of computational systems.
The Computer Science Engineering program at Vishveshwarya is prepared as per the current corporate needs. The program is based on three-way reading pedagogy with theory, practical in the high-standard laboratory, and live training sessions on the latest technologies. This program gives the opportunity to learn the latest technologies such as Artificial Intelligence, Robotics, Machine Learning, Blockchain, Cyber security, Full Stack Development, and Cloud-based technologies. Eligible students shall be placed with min. package of ` 5 lac^ per annum.
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Pre-Course Campus Immersion program | 15 days | Holistic PDP Team | CRC, VGI | Training succeeded by certified team |
|
Programming for Problem-Solving | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Engineering Physics | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Engineering Mathematics-I | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Fundamentals of Electrical Engineering | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Environment and Ecology | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Engineering Graphics & Design | 20 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
C Programming | 70 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations |
32 hrs by Lectures + 32 hrs hands-on followed by 3 practice test Annexure 1 |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Engineering Chemistry | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Engineering Mathematics-II | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Fundamentals of Electronics Engineering | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Fundamentals of Mechanical Engineering | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Soft Skills | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Workshop Practice Lab | 20 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
MS Office | 20 hrs | 20 Training and project Practice | CRC, VGI | Training –Practice succeeded by Test Conducted by Microsoft | Day to day uses, Report writing, Resume design, PPT preparations etc, |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Data Structure | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Computer Organization and Architecture | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Discrete Structures & Theory of Logic | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Sensor & Instrumentation | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Technical Communication | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Python Programming (NumPy, Pandas, matplotlib, seaborn, sci-kit learn, pytourch, and tensorflow packages) | 50 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | 50 Lectures followed by 3 practice tests. Annexure 2 |
Data structure using C | 66 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | 30 Lectures followed + 30 hrs hands-on followed by 6 hrs practice test. Annexure 3 |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Introduction to Soft Computing | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Operating Systems | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Theory of Automata and Formal Languages | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Microprocessor | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Technical Communication | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Java (Group-1) | 60 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | Annexure-4 |
Machine Learning using Python (Group-2) | 60 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | Annexure-5 |
Full Stack Development (Group-3) | 60 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | Annexure-6 |
30 hours hands-on DBMS (Common) | 60 hrs | Internal Faculty | NPTEL/Coursera | As per certifying Organizations | Annexure-7 |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Database Management System | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Compiler Design | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Design and Analysis of the Algorithm | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Data Analytics (DE-1) | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Machine Learning Techniques (DE-2) | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Constitution of India, Law, and Engineering | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies and Embedded Developer by CDAC Noida |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Software Engineering | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Web Technology | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Computer Networks | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Big Data | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Object Oriented Programming | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Indian Tradition, Culture and Society | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida |
15 DAYS Pre-Placement Training
Subject | Duration | No of quizzes |
Python Programming | 20 hrs | 10 (30 questions each) |
Data Structure and Algorithm | 20 hrs | 10 (30 questions each) |
Java Programming | 20 hrs | 10 (30 questions each) |
Quantitative aptitude | 20 hrs | 10 (30 questions each) |
Logical Reasoning | 20 hrs | 10 (30 questions each) |
DBMS | 20 hrs | 10 (30 questions each) |
OS | 20 hrs | 10 (30 questions each) |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Distributed System | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Artificial Intelligence | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Embedded Systems | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Blockchain Architecture Design | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Cloud computing | 30 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Industrial Training | |||||
Project (As per the specialization opted by the student) | |||||
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida |
Course Name/ Certification | Duration | Executed By | Certifying Organization | Certification Methodology | Content |
Entrepreneurship Development | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Image Processing | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Deep Learning | 40 hrs | Internal Faculty | AKTU | Class test followed by AKTU exam | As per AKTU Syllabus |
Seminar related to their specialization | |||||
Major Project (As per the specialization opted by the student) | |||||
Java, DevOps, Data analyst, Cloud Analyst training by HCL Technologies Embedded Developer by CDAC Noida |
Semester | Name of the Program/Training | Certification Y/N | Coordinated By |
1 | Campus Induction Program | CRC, VGI Score card | CRC, VGI |
1 | Fundamentals of Programming Using C Languagae | NPTEL | IIT Kanpur |
1 | Critical Thinking | CRC, VGI | CRC, VGI |
1 | Educational Tour | N | NA |
2 | Microsoft 365 | CRC VGI | Microsoft |
2 | Python Programming | Corse Era | University of Michigan,USA |
3 | Data Structure Using C | NPTEL | IIT Ropar |
4 | JAVA (Group1) | Coursera | LearnQuest |
4 | Machine Learning Using Python (Group2) | Coursera | Stanford University, California, USA |
4 | Full Stack Development (Goup3) | Corse Era | IBM |
4 | DBMS | NPTEL/Course Era | IIT Kharagpur |
5 & 6 | JAVA | HCL Futurum | HCL Futurum |
6 & 6 | Dev-Ops | HCL Futurum | HCL Futurum |
7 & 6 | Data Analyst | HCL Futurum | HCL Futurum |
8 & 6 | Cloud Analyst | HCL Futurum | HCL Futurum |
8 &6 | Embeded System Design | C-DAC | C-DAC |
- Digital Image Processing Lab
- Web Technology Lab
- Data Structure Lab
- DMBS ( Database Management System) Lab
- Computer Network Lab
- Principals of Programming Language (PPL) Lab
- Algorithm Lab
- Network Security Lab
- Python Lab
- C & C++ Lab
- Data Mining Specialist
- Data Scientist
- Data Architects
- Machine Learning Engineering
- Artificial Intelligence Engineering
- AI Data Analyst
- Business Intelligence Developers
- Central Government ( Scientists jobs in DRDO, ISRO, BARC etc)
- State Government jobs
- PSUs ( PGCIL, ONGC, MTNL/BSNL,NTPC, etc)
- Software MNC's Jobs (Microsoft, Infosys, Oracle, TCS, Tech Mahindra, Wipro, Accenture, HCL, NIIT etc.)
- For higher studies, options are available in India and aboard for - Ph.D/MS/M.Tech etc.
UPSEE/JEE (Mains)/ Vishveshwarya Entrance Test / or any other National level Test as per University norms
- Eligibility :12th passed in PCM with agg. 50% for Gen./OBC, 45% for SC/ST or Eligibility Criteria as per University Norms/ VET (Vishveshwarya Entrance Test)