B.Tech (Computer)


Bachelor of Technology (Computer) - In association with IBM

4 Years - 8 Semesters - Full Time

FLOURISH AS CREATORS OF INNOVATIVE TECHNOLOGY



Overview

In today's digital age, an enormous range of applications whether it is medical applications, manufacturing, or banking; computers are widely used to solve complex problems efficiently and in a short time. Hence, there is a growing need for computer engineers worldwide. The computer engineering programme successfully trains students to confront the challenges of their future professional life.

The programme prepares undergraduate students for a flourishing career in the field of technology and research. We ensure that the curriculum is a blend of core, professional and modern courses.

The B.Tech Computer Engineering Course has been designed to provide students with the skills and knowledge essential to excel in the area of computer engineering. In the Computer Engineering programme students gain breadth and depth of knowledge in a multitude of computing specialities and are well prepared for industry positions as well as academic and research positions.


 
Outcome On successful completion of the B.Tech CS programme at VU (S&T) the student will be able to :
1 Apply the knowledge of engineering and science fundamentals to the solution of complex engineering problems.
2 Identify, formulate and analyze complex engineering problems to create solutions using the first principles of engineering sciences and mathematics.
3 Design solutions for design system components that meet the specified needs for the benefit of society.
4 Apply research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5 Create appropriate techniques and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6 Apply reasoning using contextual knowledge to assess the needs of society and understand the responsibilities relevant to the professional engineering practice.
7 Understand the impact of professional engineering solutions as applied to the environment, and demonstrate the knowledge for sustainable development.
8 Adopt ethical practices as applied to the professional world to execute responsibilities and adhere to norms of the engineering profession.
9 Execute professional functions effectively as an individual, as well as a leader or member in diverse multidisciplinary teams.
10 Communicate effectively with the engineering community and with society in solving complex problems in terms of being able to comprehend and write effective reports, make effective presentations, as well as execute and receive clear instructions.
11 Demonstrate an ability to lead projects and build cost models in an interdisciplinary professional setting.
12 Develop learning mechanisms and inculcate the ability to prepare for lifelong learning in the context of technological change.

SEM - I

Course Type Course Name Credits
BS Physics 3
BS Mathematics -1 4
ES Engineering Graphics 1
BS Chemistry 2
ES Introduction to Computer Programming 3
BS Physics Lab 1
ES Engineering Graphics Lab 2
ES Introduction to Computer Programming Lab 1
ES  Hardware and Software Workshop 0
BS  Chemistry Lab 1
MC Induction training --

SEM - II

Course Type Course Name Credits
ES Basic Electronics Engineering 2
BS Mathematics -2 4
ES Engineering Mechanics 2
HSM English 2
PC Problem solving and Programming 2
PC Problem solving and Programming Lab 1
ES Basic Electronics Engineering Lab 1
PC Engineering Mechanics Lab 1
ES  TSDL (OOP using C++) 2
MC Environmental Science 3
MC Environmental Science Lab 1

SEM - III

Course Type Course Name Credits
PCC Data Structures 3
PCC Processor Architecture 3
PCC Discrete Mathematics 3
LC Data Structures - Lab 1
LC Processor Architecture Lab 1
LC Technology Skill Dev.-2  (Python) 2
LC *IBM Course -1 Elective 2
PEC **Open Elective - 1 3

* IBM Course 1 Elective

Introduction to Business Analytics 

Information Security Fundamentals

 

** IBM Course 1 Elective Lab 

Finance & Accounting

Organization Behaviour

SEM - IV

Course Type Course Name Credits
PCC Theory of Computation 3
PCC Computer Graphics and Gaming 3
PCC Database Management Systems 3
LC Computer Graphics and Gaming Lab 1
LC Database Management Systems Lab 1
LC Technology Skill Dev.-3 (Java) 2
LC Web Technology Lab 2
PEC *IBM Course -2 Elective 3
PEC **IBM Course -2 Elective Lab 1
  # Specialization/Minor Track Course 1 3
  ## Specialization/Minor Track Course 1 Lab 1
HSMC ***Open Elective - 2 0

*IBM Course 2 Elective 

Applied Statistical Analysis 

IT Systems Security & Physical Security

                                                                                                                                                                   

** IBM Course 2 Elective Lab

Applied Statistical Analysis Lab

IT Systems Security & Physical Security Lab

 

# Specialization/Minor Track Course 1

Introduction to Physical Security, Cryptography and Blockchain

Introduction to Data Science

 

## Specialization/Minor Track Course 1 Lab

Introduction to Physical Security, Cryptography and Blockchain Lab

Introduction to Data Science Lab

 

*** Open Elective - 2

Yoga 

Indian Constitution

SEM - V

Course Type Course Name Credits
PCC Operating Systems 3
PCC System Programming 3
PCC Computer Networks 3
PCC Artificial Intelligence 3
LC Operating Systems - Lab 1
LC System Programming Lab 1
LC Computer Networks - Lab 1
LC Artificial Intelligence - Lab 1
PEC *IBM Course -3 Elective 3
PEC **IBM Course -3 Elective Lab 1
  # Specialization/Minor Track Course 2 3
  ## Specialization/Minor Track Course 2 Lab 1
HSMC ***Open Elective - 3 2
GIC Aptitude Development-1 1

*IBM Course 3 Elective 

Data Warehouse & Multidimensional Modeling 

IT Application Security

 

** IBM Course 3 Elective Lab 

Data Warehouse & Multidimensional Modeling Lab 

IT Application Security Lab 

 

*** Open Elective - 3 

Economics 

Project Management 

 

# Specialization/Minor Track Course 2

Application Security

Data Warehouse and Data Mining

 

## Specialization/Minor Track Course 2 Lab

Application Security Lab

Data Warehouse and Data Mining Lab

SEM - VI

Course Type Course Name Credits
PCC Software Engineering 3
PCC Design and Analysis of Algorithms 3
PCC Compiler Design 3
LC Software Engineering Lab 1
LC Compiler Design Lab 1
PEC *IBM Course -4 Elective 3
PEC **IBM Course -4 Elective Lab 1
PEC $IBM Course -5 Elective 3
PEC $$IBM Course -5 Elective Lab 1
  # Specialization/Minor Track Course 3 3
  ## Specialization/Minor Track Course 3 Lab 1
PROJ Minor Project  4
PROJ @Open Elective 4
GIC Aptitude Development-2 1

* IBM Course 4 Elective                                                                                                       

Data Mining & Predictive Modeling                                                                                       

IT Data Security                                                                                                                    

                                                                                                                                             

** IBM Course 4 Elective Lab                                                                                               

Data Mining & Predictive Modeling Lab                                                                                 

IT Data Security Lab                                                                                                              

                                                                                                                                             

$ IBM Course 5 Elective                                                                                                       

Business Intelligence                                       

IT Network Security                                                                                                              

                                                                                                                                             

$$ IBM Course 5 Elective Lab                                                                                               

Business Intelligence Lab                                                                                                       

IT Network Security Lab                                                                                                        

                                                                                                                                                                                         

# Specialization/Minor Track Course 3

Network Security

Machine Learning

 

## Specialization/Minor Track Course 3 Lab

Network Security Lab

Machine Learning Lab

 

@ Open Elective

Trans inter disciplinary courses

Short internship

Center of Excellence projects

 

SEM - VII

Course Type Course Name Credits
PEC * Elective 3
PEC ** Elective Lab 1
PEC $ IBM Course -6 Elective 3
PEC $$ IBM Course -6 Elective Lab 1
PEC @ IBM Course -7 Elective 3
PEC @@ IBM Course -7 Elective Lab 1
  OR  
  Internship 12
  # Specialization/Minor Track Course 4 3
  ## Specialization/Minor Track Course 4 Lab 1
  Specialization Track Minor Project 2
PROJ Major Project 12

* Elective

Machine Learning

Internet of Things

Network Security

AR/VR Course

 

** Elective Lab

Machine Learning Lab

Internet of Things Lab

Network Security Lab

AR/VR Course Lab

 

$ IBM Course 6 Elective

Big Data Analytics

Digital Forensics

 

$$  IBM Course 6 Elective Lab

Big Data Analytics Lab

Digital Forensics Lab

 

@ IBM Course 7 Elective

Social, Web and Mobile Analytics

Ethical Hacking & Penetration Testing

 

@@ IBM Course 7 Elective Lab

Social, Web and Mobile Analytics Lab

Ethical Hacking & Penetration Testing Lab

 

# Specialization/Minor Track Course 4

Ethical Hacking and Cyber Laws

Big Data Analytics

 

## Specialization/Minor Track Course 4 Lab

Ethical Hacking and Cyber Laws Lab

Big Data Analytics Lab

SEM - VIII

Course Type Course Name Credits
PEC * Elective 3
PEC ** Elective Lab 1
PEC $ IBM Course -6 Elective 3
PEC $$ IBM Course -6 Elective Lab 1
PEC @ IBM Course -7 Elective 3
PEC @@ IBM Course -7 Elective Lab 1
  OR  
  Internship 12
  # Specialization/Minor Track Course 4 3
  ## Specialization/Minor Track Course 4 Lab 1
  Specialization Track Minor Project 2

* Elective

Machine Learning

Internet of Things

Network Security

AR/VR Course

 

** Elective Lab

Machine Learning Lab

Internet of Things Lab

Network Security Lab

AR/VR Course Lab

 

$ IBM Course 6 Elective

Big Data Analytics

Digital Forensics

 

$$  IBM Course 6 Elective Lab

Big Data Analytics Lab

Digital Forensics Lab

 

@ IBM Course 7 Elective

Social, Web and Mobile Analytics

Ethical Hacking & Penetration Testing

 

@@ IBM Course 7 Elective Lab

Social, Web and Mobile Analytics Lab

Ethical Hacking & Penetration Testing Lab

 

# Specialization/Minor Track Course 4

Ethical Hacking and Cyber Laws

Big Data Analytics

 

## Specialization/Minor Track Course 4 Lab

Ethical Hacking and Cyber Laws Lab

Big Data Analytics Lab


  • A perfect blend of academia, industry, and research
  • Collaboration with IBM for IBM-ICE programme
  • Collaborative research and projects with VU’s Centers of Excellence in association SAP, Unity, IBM
  • Internships for third and/or fourth-year students
  • Special inputs for slow and fast learners
  • Project-based learning
  • Exchange programs with foreign universities
  • Exposure to interdisciplinary courses
  • Experienced Teaching Faculty
  • Strong Teaching Learning Methodology

Prof.(Dr.) Kailas PATIL
Faculty of S & T

Prof.(Dr.) Kailas PATIL
Professor, CISO, Director International Relations
Mr. Shailesh Thaware
Faculty of S & T

Mr. Shailesh Thaware
Assistant Professor
Prof.(Dr.) Yogesh Deshpande
Faculty of S & T

Prof.(Dr.) Yogesh Deshpande
Professor
Dr. Prasad Gokhale
Faculty of S & T

Dr. Prasad Gokhale
Associate Professor
Mrs. Reshma Pise
Faculty of S & T

Mrs. Reshma Pise
Assistant Professor
Mrs. Swati Shriyal
Faculty of S & T

Mrs. Swati Shriyal
Assistant Professor
Mr.Suraj Damre
Faculty of S & T

Mr.Suraj Damre
Assistant Professor
Mr. Sanjesh Pawale
Faculty of S & T

Mr. Sanjesh Pawale
Assistant professor.
Mr. Noshir Zal Tarapore
Faculty of S & T

Mr. Noshir Zal Tarapore
Assistant professor
Mrs. Madhavi Dachawar
Faculty of S & T

Mrs. Madhavi Dachawar
Assistant Professor
Dr. Bharati Ainapure
Faculty of S & T

Dr. Bharati Ainapure
Associate Professor

 
  • Jobs in a variety of sectors like telecommunication, computer, aerospace, transportation, e-commerce, healthcare, banking, insurance, IT-enabled service industries, and government agencies.
  • Career opportunities as an application developer,  software engineer, system analyst, database administrator, network systems administrator, chief technology officer, computer systems manager,  customer support administrator, IT systems administrator, web administrator, software quality assurance analyst, webmaster, etc.
  • Graduates may choose to pursue further postgraduate studies or programs like MTech, MBA, MS and Ph.D.  
  • Entrepreneurship or start-up.
  • Pursue Careers in Research and Development


 

“In Vishwakarma University we get a unique opportunity to team with students from multiple disciplines and come up with real-time projects which consider all the aspects. I believe the willingness of the professors to help us, not only in the areas pertinent to their class but also our endeavors outside of the classroom, makes the department stand out. University has signed many MoUs and various interactive sessions by the industry experts are arranged. Professors try to introduce some exciting projects and activities which give a practical glimpse of what's actually happening out there in the world, helping us maximize our potential.”

-Nimisha Doshi, Student

“I have always been given a lot of opportunities by Vishwakarma University time and time again, whether it be to start a new software club, be an intern at an international research project, or lead the coordination of various events. The teachers here truly value the students who put in the efforts and never cease to help them when in need.

-Karan Jagtiani, Student

“Vishwakarma University provides the students the opportunities to connect with industry and practice what they learn along with well-experienced faculty and industrial experts. There is immense support provided to students when they want to learn something new. The faculty are also supportive and available to help students whenever they need it. Overall learn, practice, experience, and grow are the four pillars of the university.”

-Kunal Agarwal, Student


  • As per Times Higher Education Global Impact Rankings 2021, Vishwakarma University, Pune is featured in the top institutions amongst 1200 universities from 98 countries/regions. These rankings assess universities against the United Nations’ Sustainable Development Goals (SDGs).
  • Vishwakarma University is conferred with the Emerging University of the Year award in Western India by ASSOCHAM in its 13th Higher Education Conclave 2020.
  • Dr. Bharati Ainapure, Dr. Yogesh Deshpande, Prof. Noshir Tarapore, and Prof. Reshma Pise Received research grants from various Government and Corporate funding agencies.
  • Dr. Prasad Gokhale is the authorized reviewer for the IEEE Communication Magazine, Journal of Optical Communications and Networking (JOCN),  Springer.
  • Prof. Reshma Pise awarded the Gold Medal for her SUN JAVA certification.
  • Nimisha Doshi (SY student) got selected for the TalentSprint Women Engineers program supported by Google and also won a Rs 2 lakh scholarship.
  • Prof. Yogesh Deshpande becomes the Vice President of the Global VRAR Association Pune Chapter


Option 1- In Person 

Option 2 – Online 

Note: Vishwakarma University (VU), Pune charges application form fee.


 
  • Basic Qualification Required: Passed 12th / 10+2 with English as a passing subject or 3 years Diploma or equivalent qualification from any recognized Board / University.
  • Minimum % of marks at Qualifying Exam for Open Category: 45%
  • Minimum marks at Qualifying Exam for Reserve category: 40%

Entrance Examination : VUNET

  • Saturday, 27th March, 2021
  • Saturday, 29th May, 2021
  • Saturday, 26th June, 2021
  • Saturday, 24th July, 2021
  • Saturday, 25th September, 2021

APPLY FOR VUNET     >>

Intake : 120

Programme Commencement Date : 16th August, 2021.


As applicable for UG / PG Programme

For Reserved Category Students – Caste Certificate, Caste Validity, Non-Creamy Layer Certificate, are additionally required (over and above listed documents).

Last date of submitting all / pending documents: 30th September 2021.


 
  • Rs. 260,000.00/- Per academic year (annual fees). The fees will remains same for the subsequent years of the batch.
  • Hostel fees (if applicable) and Examination Form Fee will be charged separately.

Click Here to know the applicable Annual Fees and Amount to be paid in instalments.

Note: Postdated cheques (PDCs) are to be submitted for Installment II and III at the time of provisional admission along with payment of Installment I.


 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Option I – Visit Accounts Section, Vishwakarma University Office, Pune, and deposit only DD or Cheque of requisite amount. No Cash Payment. DD / Cheque should not be deposited directly into the bank. It is to be deposited to University’s Accounts Section (Monday – Saturday, 10.30 a.m. to 5.00 p.m.). DD or Cheque is to be drawn in the name of “Vishwakarma University” Payable at Pune.

Option II – EDC Machine (Card Swipe Machine). Use Debit or Credit Card to swipe for payment of requisite fees at Accounts Counter, Vishwakarma University, Admissions Office, Pune.

Option III – RTGS / NEFT / IMPS (Immediate Payment Service - Interbank Electronic Fund Transfer)

Institute Name Vishwakarma University
State Maharashtra
District / City Pune
Bank HDFC Bank Limited
Branch Kondhwe, Khurd, Pune 411 048.
Type of Account Current
Account Number 50200027418843
IFSC Code HDFC0000029 (Fifth to Ninth character is “Zero”)
Swift Code HDFCINBB

After completion of the transaction, inform the accounts section at the earliest on email (accounts.university@vupune.ac.in) or visit the accounts section with the following details.

  1. Student’s Full Name
  2. Programme & Year
  3. Date of Transaction
  4. Amount of Transaction
  5. Bank Name
  6. UTR No. and / or Transaction Id

After receipt of said information, the accounts section will issue a payment receipt.




Separate accommodation and food facility for Boys and Girls on a first come first serve basis.

  • Boys Hostel (Grade A & B) with capacity more than 140 Beds
  • Girls Hostel with capacity more than 70 Beds.
  • Food (Compulsory) – Vegetarian
  • Booking Amount : Rs. 10 Thousand
  • Refundable Deposit : Rs. 5 Thousand
  • Laundry Charges : Charged separately
  • Transport : Hostel to VU (To and Fro) Rs. 1 Thousand - (bi-monthly) subject to minimum number of seats.

Note : Refer photo gallery for Hostel facilities.



Counselling & Admission Officers :

Mr. Ganesh Thite / Mr. Vinayak Shinde

Vishwakarma University, Main Building, Room No. 1006, Survey No. 2, 3, 4 Laxmi Nagar,

Kondhwa (Bk.) Pune - 411048.

Maharashtra, India.

Contact Numbers: +91 90670 022 23 / 24 / 25 / 26

Email: admissions@vupune.ac.in | connect@vupune.ac.in

Website: www.vupune.ac.in

Instagram:Vishwakarma University – VU

Facebook: @vishwakarmauniversity

Twitter: @VU_Connect

Timings: Monday to Sunday (9.30 a.m. to 6.00 p.m.)



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