M.Tech (Computer)

Programme Highlights


  • Jobs in variety of sectors like telecommunication, computer, aerospace, transportation, e-commerce, health-care, banking, and insurance, IT enabled service industries and research organizations.
  • Career opportunities as a software developer, software engineer, software architect, system analyst, security specialist, network architect, infrastructure analysts, data modelers, webmaster etc.
  • Employment in the top research laboratories and companies in the country and even abroad.
  • Graduate may choose to pursue further doctoral studies.


Generic Courses - 3
Subject Courses - 9
Projects - 3
Electives Courses - 5


  • 2 Years - 4 Semesters - Full Time
  • Choice Based Credit System (CBCS)
  • Credit and Grading System
  • Outcome Based Education (OBE)


  • Enriched programme structure with a fine blend of coreandelectivecourses that provide in-depth knowledge and requisite skills.
  • Expertise – led by in house faculty and augmented by visiting, guest and adjunct faculty from industry and research organizations.
  • Research focus integrated through the curriculum, right from the first semester.
  • Enabling environment for nurturing Innovation and Entrepreneurship.
  • All electives offered through this program have got wide acceptance in industries and enterprises and prepares student for best of practices.

Programme Overview

Ethics Change with technology

The M.Tech (Computer) programis suitable for students who are interested in advanced learning and undertake a research project in computer science and engineering. The program offers advanced course of study covering implementation and design of information and computing systems. The programme allows a student to specialize in any topic of interest by taking elective courses and working on a research project in that area. Focus is on conducting research and writing a thesis that reports results and conclusions. Students must complete comprehensive project work culminating in the publication of a research paper in a national or international journal.

The Master’s program in Computer Engineering at VU prepares students to achieve following career and professional accomplishments within a few years of post-graduation. The post-graduates of the program

PEO1 : Will be successful in industry, government, academia, research & entrepreneurial pursuit.

PEO2 : Will demonstrate good analytical, research and design skills in multidisciplinary working environment.

PEO3 : Will adapt to changing technologies, tools and societal requirements and undertake research for creating innovative systems and optimized solutions.

PEO4 : Will contribute to society as ethical and responsible citizens.

After completing this program a student should be able to:

PO1 : Apply knowledge of mathematics, science and engineering in practice

PO2 : Identify, critically analyze, formulate and solve engineering problems with comprehensive knowledge in the area of specialization

PO3 : Select modern engineering tools and techniques and use them with dexterity

PO4 : Design a system and process to meet desired needs within realistic constraints such as health, safety, security and manufacturability

PO5 : Contribute by research and innovation to solve engineering problems

PO6 : Devise and conduct experiments, interpret data and provide well informed conclusions

PO7 : Understand the impact of engineering solutions in a contemporary, global, economical, environmental, and societal context for sustainable development

PO8 : Function professionally with ethical responsibility as an individual as well as in multidisciplinary teams with positive attitude

PO9 : Communicate effectively

PO10 : Appreciate the importance of goal setting and to recognize the need for life-long reflective learning

GA1 : Engineering knowledge

GA2 : Problem analysis

GA3 : Design/development of solutions

GA4 : Conduct investigations of complex problems

GA5 : Modern tool usage

GA6 : The engineer and society

GA7 : Environment and sustainability

GA8 : Ethics

GA9 : Individual and Team work

GA10 : Communication

GA11 : Project management and finance

GA12 : Life-long learning


Course CodeCourse TypeCourse NameCredit ValueMarks
101 SC Big Data Analytics 4 100
102 SC Machine learning 4 100
103 GC Research Methodology 4 100
104 SC Lab Practice I 3 100
105 SC Seminar I 1 50
106 SE Elective I 5 150
107 SE Elective II  4 100


Course CodeCourse TypeCourse NameCredit ValueMarks
201 SC Cyber Physical System 4 100
202 SC Operating System Design 4 100
203 SC Cloud Computing 4 100
204 SC Lab practice II 3 100
205 SC Seminar II 1 50
206 SE Elective III 4 100
207 SE Elective IV 4 100
208 GC Intellectual Property Rights 1 50


Course CodeCourse TypeCourse NameCredit ValueMarks
301 Project / Internship Internship/In-house Project 8 200
302 GC Research Writing 2 50
303 OE Open Elective 3 100
304 Project Dissertation Stage I 12 200


Course CodeCourse TypeCourse NameCredit ValueMarks
401 Project Dissertation Stage II 25 350

Open Electives

Open Elective-1
Social Media Analysis
Usability Engineering

Discipline Specifics Elective

Discipline Specifics Elective TracksCourse Name
Elective -I Information Retrieval  and Web Mining
Elective -I Soft Computing
Elective -I Wireless and Mobile Network
Elective -I Advanced Compiler Design
Elective -II System Security
Elective -II Advanced Algorithm
Elective -II Game Theory
Elective -II Simulation and Modelling Techniques
Elective -III Computer Vision and Pattern Recognition
Elective -III Software Design and Architecture
Elective -III Bio Informatics
Elective -IV Web Security
Elective -IV Intelligent Systems
Elective -IV Real Time Systems
Elective -IV High Performance Computing

  • 100 credits to be earned
  • Minimum CGPA 4.0
  • Sharing excitement of knowledge and research with curious minds.
  • Refining teaching methods to best fit the audience.
  • Fostering environment in classroom that promotes question and discussion opportunities.
  • Providing opportunities to reinforce concepts by practicing through assigments, study group, teaching and research. 
  • Using technology as a teaching aid that provides forum to ask questions, solve problems, and to extend learning outside the classroom.

Experiential learning is a process of learning through experience, and is more specifically defined as "learning through reflection on doing". It is important to enhance active and collaborative learning in engineering education by exposing students in various ways to real-world problems and situations.

  • Students are encouraged to design and carry out experimentation to test new ideas.
  • Students are exposed to modern tools and methods practiced in professional world.
  • Students are encouraged to get concrete experience of real-world problems and situations through internships in industries.
  • Students have to apply fundamental principles/concepts/theories and solve a real-world research problem in an innovative way and publish the results.
M.Tech Computer Course | College | Institute | Admissions | Pune


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