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M.Tech in Computer Science Engineering

Focuses on advanced concepts and research in computer science.
Covers areas such as machine learning, natural language processing, computer vision, and data mining.
Emphasizes research, experimentation, and the development of computer solutions.
Includes a thesis or research project in collaboration with industry or academia.
Taught by experienced faculty with expertise in CSE

Programme Duration

2 Years

Programme type

Full time Programme

Programme Regulations

Programme Structure 2023

Eligibility Criteria

Candidates should have passed in B.E./B.Tech. in CSE/ISE/IT/ECE/EEE (Any circuit Engineering departments) or M.Sc. in CS/IS/IT/Mathematics or MCA degree with a minimum of 50% marks (45% in case of SC/ST candidates) from a recognized university.

Key Features

  • One of the most sought-after engineering branches, Computer Science Engineering encompasses both Computer Engineering and Computer Science. Designed for the tech-savvy, students learn a range of fundamental topics such as networking, programming, software development, and testing.
  • CMR University’s Computer Science Engineering courses bridge the software and hardware aspects of computers, ensuring that students delve deep into these areas and gain proficiency in 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 another key focus area of the programme. Under CMR’s expert faculty guidance, students can pursue successful careers as software engineers, programmers, data scientists, hardware engineers, and researchers. With computer science skills in high demand both in India and globally, career opportunities are extensive. Practical knowledge is highly valued, and with CMR University’s state-of-the-art laboratories, students gain industry-aligned practical experience and exposure.

Programme Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
  • Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
  • Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
  • Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
  • Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
  • Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

  • 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

What expertise will you gain?

Advanced knowledge of computer science and artificial intelligence.

Expertise in machine learning algorithms and techniques.

Understanding of natural language processing and computer vision.

Proficiency in data mining and big data analytics

Research and innovation skills in CSE

Career Opportunity

  • Software Developer
  • Hardware Engineer
  • Web Developer
  • Computer Programmer
  • Computational Automation
  • Computational R & D

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

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FAQs

A range of M.Tech programs for CSE are available in Bangalore, with concentrations in software engineering, cybersecurity, data science, and artificial intelligence. Computer science M.Tech programs that are structured and in line with industry standards are offered by institutions such as CMR University.

Bangalore is the technological center of India, offering access to startups, research facilities, and IT firms. Students who choose to pursue an M.Tech in Computer Science in Bangalore, particularly at institutions like CMR University, benefit from gaining both academic knowledge and real-world experience.

The majority of programs last two years. For example, the two-year, full-time M.Tech in Computer Science degree at CMR University combines theory, lab practice, and project-based study in its curriculum.

Bangalore is home to numerous reputable universities that provide M.Tech programs in computer science. CMR University is a top M.Tech computer science institution in Bangalore, with a stellar reputation for teaching support, industry partnerships and placements.

Absolutely. The IT sector in Bangalore provides top-notch placements. Computer science M.Tech students of CMR University are employed by leading tech companies, start-ups, and research institutions.

Fees differ greatly. While M.Tech. programs in computer science at institutions like CMR University are reasonably priced and provide high-quality education, private colleges may charge more.

Consider the level of competence of the professors, labs, industry exposure, placement history, and curriculum. Strong academic offerings and industry ties make CMR University stand out as one of Bangalore’s best M.Tech computer science institutions.

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