CMR College of Engineering & Technology

EAMCET / ECET / ICET / PGECET CODE : CMRK

EAMCET / ECET / ICET / PGECET CODE : CMRK

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Campus Placements 2025 :

Amazon VCS | Autodesk | Commvault | CATALOG | Siemens Dev | CISCO | S&P Global | Tejas Network | AWS CFOM | Infosys-Specialist Programmer |HSBC | Kore Ai |Safertek | PalTech | CATALOG-Possible works | Cubic Transportation | Cognizant-Gen C-Next | NineLeaps | Hexagon | Accenture ADV ASE | Infosys - Digital Specialist Engineer | Karbonwise | Divami | MAQ | Capgemini-5.75 | Sagility | Blusapphire | Accenture ASE | PWC | LTI Mindtree | Cognizant-Gen C | Infosys | Foundever | Sutherland

It is a matter of great pride that the Institute of CMR College of Engineering & Technolog is ranked one among the Top 200 best Engineering colleges as per NIRF (National Institutional Ranking Framework), Ministry of Education (MoE), Govt. of India since 2017

CSE Data Science

About Department

The Department of Computer Science and Engineering – Data Science is established in the year 2021. This B.Tech program in Computer Science and Engineering (Data Science) is specifically designed and offered by the department of Computer Science and Engineering in response to the rapidly developing field of Data Science. This program has been started with an intake of 60 in the year 2021 and later the intake had extended to 180 in the year2023.


Data Science is a growing branch of Computer Science and Engineering (CSE).
Data science is a relatively recent and interdisciplinary field within computer science. It is concerned with the gathering, preparation, analysis, visualization, management, and preservation of massive amounts of information in order to generate value from the data itself. Today’s effective data professionals should be able to master the entire data science life cycle, including programming abilities.

CAREER OPPORTUNITIES AFTER COMPLETION OF THE COURSE:

Data Scientist

Data Analyst

Data Specialist

Data Engineer

Data Architect

Data Consultant

Business Analyst

Department Vision

To train students to become globally qualified Data analytic
professionals and researchers, as well as to develop their potential to
contribute in the field of data science by giving a whole solution in

Department Mission

  • To create an industry-friendly atmosphere by offering cutting-edge infrastructure in order to compete in a data-driven future.
  • To enable students to create innovative and cognitive solutions using data analytics and new advances in high performance computing.
  • To construct a data-intensive system from a socioeconomic standpoint by encouraging cross-disciplinary thinking that broadens knowledge in cutting-edge technology and acquires professional ethics.

 

Program Outcomes (POs)

PO1

An ability to apply knowledge of Science, Mathematics, Engineering & Computing fundamentals for the solutions of Complex Engineering problems

PO2

 An ability to Identify, formulate, research literature and analyze complex engineering problems using first principles of mathematics and engineering sciences.

PO3

An ability to design solutions to complex process or program to meet desired needs

PO4

Ability to use research-based knowledge and research methods including design of experiments to provide valid conclusions.

PO5

An ability to use appropriate techniques, skills and tools necessary for computing practice.

PO6

Ability to apply reasoning informed by the contextual knowledge to assess social issues, consequences & responsibilities relevant to the professional engineering practice.

PO7

Ability to understand the impact of engineering solutions in a global, economic, environmental, and societal context with sustainability.

PO8

An understanding of professional, ethical, social issues and responsibilities.

PO9

An ability to function as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.

PO10

An ability to communicate effectively on complex engineering activities within the engineering community

PO11

Ability to Demonstrate and understanding of the engineering and management principles as a member and leader in a team.

PO12

Ability to engage in independent and lifelong learning in the context of technological change.