School of Science Studies

Master of Computer Applications

The computer science syllabus for each semester is as given below:

The computer science program at CMR University is ranked highly and is often compared to the top computer science engineering colleges in Karnataka.

  • Relational Database Management Systems
  • Advanced Data Structure using C
  • Industry Oriented Software Engineering
  • Operating Systems
  • Probability & Statistics
  • SQL and NOSQL Databases Lab
  • Data Structure Lab
  • Elective -I
  • Elective -II
  • Common Core
  • Machine Learning using Python Programming
  • Network Information Security
  • Design and Analysis of Algorithms
  • Advanced Java Programming
  • Java Programming Lab
  • Discipline specific elective – 2
  • Discipline specific elective – 3
  • Discipline specific elective – 4
  • Discipline specific elective – 5
  • Common Core
  • Community Internship Project (CIP)
  • Mobile Application Development
  • Cloud Architecture and Design
  • Data Warehousing and Data Mining
  • Data Warehousing and Data Mining Lab
  • Discipline specific elective – 6
  • Discipline specific elective – 7
  • Discipline specific elective – 8
  • Discipline specific elective – 9
  • Summer Internship Project (Mini Project)
  • Interdisciplinary -1
  • Common Core
  • Research/Technical paper
  • Elective -I
  • Elective -II
  • Interdisciplinary -2
  • Interdisciplinary -3
  • Capstone Project

Semester-I

  • Object-Oriented Modeling and Design
  • Artificial Intelligence and Neural Networks
  • Object-Oriented Modeling and Design Lab
  • Artificial Intelligence and Neural Networks Lab

Semester-II

  • Data Analytics
  • Software Testing & Quality Assurance
  • Data Analytics Lab
  • Software Testing Lab
  • Advanced Web Technology
  • NET Framework and Applications
  • Advanced Web Technology Lab
  • .NET Framework and Applications Lab

Semester-III

  • Internet Of Things
  • Big Data Analytics Using R
  • Internet Of Things Lab
  • Big Data Analytics Using R Lab
  • Public Cloud – AWS, Azure and Google
  • Distributed and Parallel Computing
  • Public Cloud – AWS, Azure and Google Lab

Semester-IV

  • Data Visualisation
  • Cloud Managed Services
  • Data Visualisation Lab
  • Cloud Managed Services Lab

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.

  • Computational Knowledge: Ability to apply knowledge of Mathematics, Computing Fundamentals and Specialization.
  • Problem Analysis: Ability to identify, formulate and analyze complex computing Problems.
  • Design/Development of Solutions: Ability to design, solve and evaluate solutions for complex computing problems.
  • Conduct investigations of complex computing problems: Ability to conduct systematic investigations of systems and data during design & development to derive valid conclusions.
  • Modern Tool Usage: Ability to use the techniques, skills, and modern tools necessary for complex computing techniques.

Related Programme

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

What expertise will you gain?

Advanced programming skills in languages such as Java, C#, or Python

Knowledge of software engineering principles and methodologies

Proficiency in database management systems and SQL

Understanding of computer networks and cybersecurity

Project management and software development lifecycle skills

Recruiters

Our Campus

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Our Campus

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in.

What expertise will you gain?

Advanced programming skills in languages such as Java, C#, or Python

Knowledge of software engineering principles and methodologies

Proficiency in database management systems and SQL

Understanding of computer networks and cybersecurity

Project management and software development lifecycle skills

Career opportunity

  • Software developer
  • Database administrator
  • Systems analyst
  • Software engineer
  • IT project manager
  • Mobile application developer

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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