M.Tech. CSE (Data Science) Programme

Programme Overview

  • Offers advanced study in a chosen area of the engineering and technology
  • Provides students with a deeper understanding of the theories, concepts, and methodologies in their chosen field
  • Taught by experienced faculty with a strong academic background and research expertise

Career Opportunities

  • Information Technology: software development, system analysis, database administration, and network security.
  • Artificial Intelligence: Nodal manager, quality control, and AI-based supply chain management
  • Project Management: project managers, product manager

Programme USPs

  • CMR University’s data science program in Bangalore offers unique technologies in Data Science.
  • The Programme is designed to impart conceptual and practical knowledge of Data Science that will generate many employment opportunities and open doors for entrepreneurship.
  • The Programme is organized with a balanced combination of theory, application-based lab sessions, state-of-the-art learning management platform. Assessments and industry-oriented interdisciplinary projects to provide a great learning experience.
  • The Programme offers a unique value proposition by the subject expertise of Science along with machine learning for better designing of products.
  • This Programme is primarily aimed at offering student’s flexibility in making their own career choices in programming or Data Science.
  • The Curriculum design is properly reviewed by CMR University/ institutes of national and international eminence.
  • The curriculum is designed on Outcome Based Education (OBE), aligned with industry requirements and in sync with global certifications
  • The learning experience is enriched through exclusively developed Learning Management System (LMS) where students and faculty can access state of art designed content and other artefacts of the learning system like quizzes, assignments, discussion forum, and News feed.
  • 360 degree placement assistance provided by CMRU placement team research based Pre-Placement training programmes, technical tests, and Mock interviews by industry experts All the training programmes are designed after taking inputs through our uniquely designed placement quotient test. Our students are hired by many well established and reputed corporations, demonstrating the success of our model.

Programme Outcomes

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and Computer science, and engineering specialization to solve the complex engineering problems.
  • To learn reflectively from mistakes, engage in lifelong learning, adapt to new developments, and participate in continuing education opportunities to foster personal and organizational growth.
  • To design and develop a system to meet desired needs within social areas such as economics, environmental, and ethics.
  • To work upon unfamiliar problems through investigative studies and research and contribute to the development of technological knowledge and intellectual property.
  • To transfer technology effectively on broadly defined engineering needs with the engineering community and with society at large, by being able to comprehend and write effective technical reports, presentations and software tools.
  • To possess knowledge for functioning effectively, as a member or team leader, in software projects considering multidisciplinary environments.

Programme Duration

2 Years ( 4 Semesters )

Programme Type

Full Time

Eligibility Criteria

  • Bachelor’s degree in a relevant field
  • Minimum of 50% marks in bachelor’s degree
  • Other equivalent qualifications may also be considered for admission

Expertise You Gain

  • Strong foundation in engineering, technology and artificial intelligence
  • Knowledge of mathematics, physics, chemistry, and computer science
  • Hands-on experience in design, development, and implementation of complex engineering systems
  • Ability to analyze, design, and solve engineering problems
  • Effective communication, teamwork, and leadership skills

Programme Structure


I Semester

II Semester

III Semester

IV Semester

Assessment and Evaluation

The University follows Choice Based Credit System (CBCS), which provides choice for students to select from the prescribed set of courses and earn credits. Students are awarded grades based on their performance for each courses in a semester and Semester Grade Point Average (SGPA), which is a measure of academic performance of a student in a semester. Cumulative Grade Point Average (CGPA) is used as a measure of overall cumulative performance of a student over all semesters. However, the CGPA is invariably calculated from second semester onwards to facilitate students to know their academic progress.

Every Programme has a prescribed Curriculum or the Scheme of Teaching and Evaluation. It prescribes all the courses/ laboratory/ other requirements for the degree and sets out the nominal sequence semester wise. Curriculum also includes SWAYAM and Massive Open Online Courses (MOOCs), offered by premier institutions. A student desirous of additional exposure to a course, without the rigors of obtaining a good grade, ‘audits’ a course that helps him to have an edge over others in placements.

The evaluation system to assess the student is comprehensive and continuous during the entire period of Semester, by the faculty who is teaching the course. Continuous Internal Evaluation (CIE) and Semester End Examination (SEE) constitute the major evaluations prescribed for each course, with only those students maintaining a minimum standard in CIE are permitted to appear in SEE of the course. CIE and SEE to carry 50% weightage each, to enable the course to be evaluated for a total of 100 marks, irrespective of its credits.

Before the start of the Academic session of each semester, a faculty may choose for his course Internal Assessment Test and a minimum of two of the following assessment methods with suitable weightage for each: Assignments (Individual and/or Group), Seminars, Quizzes, Group Discussions, Case studies/Case lets, Practical orientation on Design Thinking, Creativity & Innovation, Participatory & Industry-integrated learning, Practical activities / problem solving exercises, Class presentations, Analysis of Industry/Technical/Business Reports, Reports on Guest Lectures / Webinars / Industrial Visits, Industrial / Social / Rural projects, Participation in Seminars/ Academic Events/Symposia, etc. or any other academic activity.

The Semester End Examination for all the courses for which students registered during the semester shall be conducted at the end of each semester. Some of the courses, where the student performance is evaluated through CIE, may not have SEE.

The makeup examination facility shall be available to those students who have appeared and failed in the SEE in one or more courses in a semester.



 Who can enrol for Mtech CSE in data science?

Students who have done their B Tech and want to pursue a career in data science, NLP engineering, and Machine learning as a research analyst or data science analyst can enrol for MTech CSE in Data science. Data science mining and data management are becoming the future of the world. So, if you are interested in applied statistics, and advanced data analysis, you can pursue this course.

 What is the future scope of M.Tech Data Science at CMR University?

As the demand for artificial intelligence engineers and data science engineers is increasing, MTech Data Science at CMR University, the best university among the MTech in data science colleges in Bangalore, the students have an option of choosing their own subjects that they wanted to pursue with the Choice-based credit system. The students get to choose their subjects of interest for broader perspectives of the field and its applications.

 What are the benefits of pursuing Mtech Data Science at CMR University?

CMR University, the best private university among the top MTech in data science colleges in Karnataka provides unique technologies in data science and applied topics for the students for their future. The aim is to provide flexibility and knowledge for the students in the field of data science management and data mining to make favourable career choices.

 What is the admission process for M. Tech CSE Data Science at CMR University?

The students applying for M.Tech CSE Data Science at CMR University must have completed a CSE or equivalent UG degree and GATE exam. The students can fill out their admission forms either at the college and submit or download their online form from to fill and submit. The students will be called for an interview on a merit basis.