B.Tech. | Computer Science and Engineering (Data Science)

Programme Overview

  • Data Science (DS) has had an active and exciting history and is now a mature area of computer science.
  • Many of the research discoveries have now reached the point of industrial application and many companies have made and saved millions of dollars by utilizing the results of Data Science research ( McKinsey Global Institute report on AI).
  • In order to have the right skill set for the upcoming job opportunities in the areas of Data Science, which can complement and assist the industry in adopting technology-driven solutions, CMR University is offering a wide spectrum of new-age IT programmes and Data Science is one among them.
  • This first of its kind B.Tech programme in Computer Science and Engineering with specialization in Data Science (DS) is specifically designed to prepare students with theoretical foundations and practical skills of Data Science, to face the new world of Digital disruption and transformation.

Career Opportunities :

  • Data Engineer
  • Software Engineer
  • Data Scientist
  • AI Developer
  • Research Scientist
  • AI Engineer

Programme USPs

  • Programmes developed on knowledge skill and ability model (KSA)
  • Academic curriculum designed on Outcome Based Education (OBE), aligned with industry requirements and in sync with global certifications
  • Unique Academics Delivery Model – Programmes are delivered through a unique technology enabled blended delivery model, with ‘The New 3E’s of Education’- Enable, Engage and Empower.
  • Learning experience is enriched through specially developed Learning Management System (LMS)-JUNO , where students and faculty can access state of art designed content and other artifacts of learning system like quizzes, assignments, discussion forum and News feed.

Programme Objectives

  • The Bachelor of Technology in Data Science (BTech – DS) has been designed to cater to the regional, national and global requirements of professionals having expertise in designing the Data Science applications.
  • Graduates will be able to articulate and solve problems in the related fields and can take up interdisciplinary projects as well.
  • The objective is to prepare entrepreneurs and workforce for the public and private sector in related areas.

Programme Outcomes

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
  • Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • 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 to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life–long learning in the broadest context of technological change.

Eligibility Criteria

A pass in 2nd PUC/ 12th Grade/Equivalent Exam with English as one of the Languages with a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/Biotechnology/Biology/Electronics/Computers (40% for reserved category candidates).Candidates must also have taken up the CET/COMED-K/JEE/CMRUAT entrance tests and possess valid ranks/scores.

For Diploma Holders :

Students having completed three-year diploma programmes, with at least 45% marks in aggregate of final year i.e. 5th and 6th Sem of diploma (40% for SC/ST/OBC) are eligible for lateral entry into the second year (3rd semester), and having taken up the DCET entrance tests with valid scores/ranks.