cmr.edu.in

M.Tech in Computer Science Engineering

Programme Introduction  |  Programme USPs  |  Programme Outcomes  |  Eligibility Criteria

Program Introduction

  • One of the most sought after engineering branches, Computer Science engineering incorporates concepts of both Computer engineering and Computer Science. This branch, tailor-made for the tech-savvy, proactive students to learn the various underlying important aspects such as networking, programming, software development, and testing.
  • CMR University’s computer science engineering courses are designed as a bridge between both software and hardware of computers, thereby ensuring that students get to delve deep into these aspects and are equipped with system software, programming languages; and domains such as cloud computing, artificial intelligence, machine learning, the internet of things, data analytics, and big data. Automation is also a key focus area of the programme.
  • With CMR’s expert faculty guidance, students get to successfully take up careers as Software Engineers, Programmers, Data Scientists, and Hardware Engineers and also in Research.
  • With Computer Science skills being in huge demand, both in India as well as globally, the career options are immense. With CMR University’s state of the art laboratories, students are fully integrated into the industry scheme of things as far as practical knowledge and exposure are concerned.

Scope of the Program

The goal of post graduate programs at CMRU is to develop professionals of high quality to cater to the needs of industry and academia. Such education will be based on a broad grasp of the fundamental principles of the sciences and scientific methods, a deep understanding of specific areas of specialization, an ability to solve new problems, and a capacity to continually learn and interact with multidisciplinary groups. Above all, CMRU aims at developing in its students a capacity for free and objective enquiry, courage and integrity, and awareness and sensitivity to the needs and aspirations of society. The postgraduate programs are designed with the above goals in view. They include courses of study, seminars, project work, internships, and research leading to a thesis.

Career Opportunities

  • Software Developer
  • Computer Hardware Engineer
  • Web Developer
  • Computer Programmer
  • Computational Automation
  • Computational Research & Development

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Programme USPs

Amongst the computer science engineering colleges in Bangalore, CMR University offers

  • Design Thinking pedagogies employed.
  • Outcome-based education (OBE) and choice based credit system (CBCS).
  • Emphasis on Experiential Learning.
  • Industry 4.0-compliant academic curriculum.
  • Student engagement through activity-based learning, instructor-led programmes, and customized coding/soft-skills training.
  • Emphasis on DIY.
  • Specialized Maker space for students to innovate real-world projects through multidisciplinary collaboration.
  • Internship Programmes & Capstone projects.
  • IEEE student chapter to promote student research culture.
  • Guidance and support for start-up initiatives. (Encouraging Idea submissions under Start-up India Scheme).
 

Programme Outcomes

  • PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and Computer science and an engineering specialization to solve complex engineering problems.
  • PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using mathematics, basic sciences, and computer science and engineering specialists in the field of Computer Science.
  • PO3: Design/Development of Solutions: Design solutions for complex engineering problem using appropriate knowledge of Computer Science for the health sector, education sector, banking and supply chain sectors.
  • PO4: 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 using Cryptographic algorithms to provide valid conclusions.
  • PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources and IT tools (WireShark, Metasploit, Cuckoo, Sandbox, YaraRules, Base64, VolUtility, Process Hacker, Hexinator) which helps in building models using Computer Science.
  • PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, security, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7: Environment and sustainability: Understand the impact of Computer Science and engineering solutions in societal and environmental contexts, and demonstrate the knowledge of the same need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: 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 instructions.
  • PO11: Project management and finance: Demonstrate knowledge and understanding of the Computer Science concerns and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the advancement of Computer Science
 

Programme Duration

3 years

Programme Type

Part-time weekend program

Who can apply?

Candidates who aspire for a career transition to job roles such as Computing Engineer, Scientific researcher in algorithms, AI Architect, AI Engineer, ML Expert, Data Scientist, Business Analyst, Data Engineer, etc., can apply to this one-of-a-kind 3 years Master’s program in CSE. All candidates must demonstrate a passion to learn and a commitment to devote time.

Eligibility Criteria

Candidates must have a minimum of 50% marks (45% in case of SC/ST candidates) in B.E./B.Tech in CSE/ISE/IT/ECE/EEE or M.Sc. in CS/IS/IT/Mathematics or MCA