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M.Tech l CSE (Data Science)

Programme Overview

  • With technology advancing every day, Data Science has gained paramount importance in the computer science domain. Data science is a multidisciplinary field which makes use of scientific methods, processes, systems and algorithms to extract information from structured and unstructured data.
  • CMR University, Bengaluru, offers one of the best Data Science courses in Bangalore. Computer science and engineering with the Data Science course as specialisation, focuses on the fundamental areas of data science such as machine learning, data visualization and data management.
  • This will ensure that students interested in Data Science – related careers get an extensive and deep knowledge they need to obtain a strong foundation in this rapidly progressing field.

Career Opportunities

  • Data Science Analyst
  • Data Science Engineering
  • Machine learning Engineer
  • NLP Engineering
  • Research Analysts
  • Application Engineer

Programme USPs

  • The programme offers unique technologies of 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 Educational Objectives

  • To produce postgraduate (PG) engineers who are ready to contribute research & development(R&D) effectively to the advancement of Computer Science applications.
  • To Engage in professional practices to promote the development of innovative systems and optimized solutions.
  • To work collaboratively on multidisciplinary projects and exhibit high levels of professional and ethical values within organization and society globally.
  • To Enhance skills and adapt new computing technologies for attaining professional excellence and carrying research.
  • To impart knowledge and skills to analyze, design, test and implement various softwares and be engaged in life – long learning.
 

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

Candidate who has Passed in Bachelor’s Degree (B.E. or B.Tech.) or equivalent in the relevant field and obtained at least 50% marks in the aggregate of all 4 years of degree examinations. (45% in case of candidate belonging to reserved category). Candidate must also qualify in one of the following entrance exams: – GATE / PGCET.

 

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.

 
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