School of Engineering and Technology

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

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.

Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization for solving complex engineering problems.

Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization for solving complex engineering problems.

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 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 & 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.

Related Programme

B.Tech. CSE |
B.Tech. CSE | Artificial Intelligence & Machine Learning
B.Tech. | Information Technology
B.Tech. | Electronics and Communication Engineering

What expertise will you gain?

Data science concepts and methodologies

Proficiency in programming languages

Machine Learning Algorithms

Data visualization

Insight-driven decision making

Recruiters

Our Campus

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Our Campus

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What expertise will you gain?

Data science concepts and methodologies

Proficiency in programming languages

Machine Learning Algorithms

Data visualization

Insight-driven decision making

Career opportunity

  • AI engineer
  • Machine learning engineer
  • Data scientist
  • Data analyst
  • AI consultant
  • Research scientist in AI and ML

Recruiters

How to Apply

Step 1

Application Enquiry

On-call guidance with step-by-step expert instruction on how to complete the application form.

Step 2

Selection Process

Candidates are shortlisted after completion of document verification, interview & the CMRUAT entrance exam.

Step 3

Offer Letter

Provision of Offer Letter to commence further process.

apply now

Why CMR

Canoeing

The serene waters of the lake at CMR University provide a perfect setting for students to indulge in the thrilling sport of Canoeing. With expert guidance and state-of-the-art equipment, it is an exhilarating experience that combines fitness and adventure.

Cricket Stadium

The sprawling Cricket Stadium at CMR University is a venue that echoes with the sounds of cricketing glory. With professional-grade facilities and coaching, it provides a platform for students to showcase their talent and pursue their passion for the sport.

Labs

The Labs at CMR University are a hub of scientific research and experimentation. Equipped with the latest technology and equipment, they provide a conducive environment for students to explore and develop their ideas and theories.

MakerSpace

The MakerSpace at CMR University is a haven for students who are passionate about innovation and creation. With access to advanced tools and technology, students can turn their ideas into reality and learn about cutting-edge fields such as 3D printing and robotics.

Hostels

The Hostels at CMR University provide a comfortable and secure living space for students from diverse backgrounds. With modern amenities and round-the-clock security, they offer a homely environment where students can focus on their studies and personal growth.

Animal Shelter

The Animal Shelter at CMR University is a testament to the institution's commitment to animal welfare. With a team of dedicated professionals and volunteers, it provides a safe haven for animals and raises awareness about animal rights among the student community.

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