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  • Faculty

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

  • Campus

    Technology Campus (Peenya Campus)

  • Engagement Mode

    Full Time

  • Study

    P.U.C students Minimum 4 Years ,Maximum 8 Years, Diploma students Minimum 3 Years, Maximum 6 Years.

Overview

According to My Future, employment for computer and information research scientists is expected to grow by 21% from 2021 to 2031, a rate much faster than the average for all occupations. On average, approximately 3,300 openings for these professionals are projected annually over the decade. This growth is likely attributed to the increasing use of information technology across various industries.

The surging demand for skilled professionals in the field of B Tech Computer Science and Engineering highlights the importance of pursuing a B Tech CSE degree. The B Tech CSE syllabus at M.S. Ramaiah University of Applied Sciences (RUAS) is meticulously crafted to provide students with the essential knowledge and skills needed to thrive in the ever-evolving technology landscape.

Furthermore, the B Tech CSE subjects seamlessly blend theoretical knowledge and practical skills, offering students a robust foundation for the industry. If you're seeking to pursue B Tech in Computer Science Engineering in Bangalore, RUAS emerges as the premier choice. Enroll in one of the top institutions for computer science engineering to embark on a transformative journey toward a future-ready career.

Program Objectives

  • - To facilitate the acquisition of knowledge in computing and information technology systems and their subsystems
  • - To develop understanding of the underlying logical, algorithmic, architectural and programming principles of computing systems
  • - To build the ability to design and implement computing and information systems to meet the specific application needs
  • - To model, simulate and analyse the behaviour of computing and information systems to predict and improve their performance
  • - To train students on development of software products to meet specific requirements and customer needs
  • - To impart training on the processes and practice of engineering, deployment and operation of information technology infrastructure
  • - To impart training on professional ethics, history, economics, social sciences and interactive skills relevant to professional practice
  • - To provide a general perspective on lifelong learning and opportunities for a career in industry, business and commerce
Programme Educational Outcomes (PEOs)
  • Provide students with a strong foundation in mathematics and computing along with breadth and foundational requirement in computing, science, engineering and humanities to enable them to devise and deliver efficient and safe solutions to challenging problems in Computer Science and inter-disciplinary areas
  • Impart analytic and cognitive skills required to develop innovative solutions for R&D, to build creative, dependable and safe products for Industry based on dynamic societal requirements motivated and nurtured by sound theoretical and practical knowledge of time tested and long lasting principles of computer science, current tools and technologies
  • Develop managerial and entrepreneurial skills inculcating strong human values along with social, interpersonal and leadership skills required for professional success in evolving global professional environments
Programme Outcomes (Pos)
  • Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
  • Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
  • 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
  • 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
  • Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations
  • 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
  • Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
  • Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  • Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
  • 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
  • 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
  • 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
Programme Outcomes (Pos)
  • Apply principles and best practices in design of efficient algorithms and correct programs; build reliable, secure and robust software, making use of knowledge of computer architecture, systems software, networking, Web technologies distributed computing
  • Use knowledge gained in both breadth courses in science and engineering and depth courses in mathematics and computing, solving problems of relevance to society, industry and R&D in an innovative manner
  • Engage in lifelong learning by applying knowledge of fields of computer science and refining it and evangelizing applications and technologies to all interested communities

Curriculum Details

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTB101A Engineering Mathematics 1 3 1 0 4 100
2 PYB102A Engineering Physics and Laboratory 3 0 2 4 100
3 CEF101A Engineering Mechanics 3 0 0 3 100
4 ECF102A Elements of Electronics Engineering and Laboratory 3 0 2 4 100
5 MEF103A Engineering Drawing 2 0 2 3 100
6 LAN101A Constitution, Human Rights and Law 2 0 0 2 50
Total 16 1 6 20 550
Total number of contact hours per week 23

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTB102A Engineering Mathematics-1 3 1 0 4 100
2 CYB104A Engineering Chemistry and Laboratory 3 0 2 4 100
3 MEF104A Elements of Mechanical Engineering and Work shop Practice 2 0 2 3 100
4 EEF105A Elements of Electrical Engineering and Laboratory 3 0 2 4 100
5 CSF106A Elements of Computer Science and Engineering and Laboratory 3 0 2 4 100
6 TSN101A Professional Communication 0 0 2 2 50
Total 14 1 10 21 550
Total number of contact hours per week 25

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTB102A Engineering Mathematics-2 3 1 0 4 100
2 PYB102A Engineering Physics and Laboratory 3 0 2 4 100
3 CEF101A Engineering Mechanics 3 0 0 3 100
4 ECF102A Elements of Electronics Engineering and Laboratory 3 0 2 4 100
5 MEF103A Engineering Drawing 2 0 2 3 100
6 LAN101A Constitution, Human Rights and Law 2 0 0 2 50
Total 16 1 6 20 550
Total number of contact hours per week 23

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTB102A Engineering Mathematics-2 3 1 0 4 100
2 CYB104A Engineering Chemistry and Laboratory 3 0 2 4 100
3 MEF104A Elements of Mechanical Engineering and Work shop Practice 2 0 2 3 100
4 EEF105A Elements of Electrical Engineering and Laboratory 3 0 2 4 100
5 CSF106A Elements of Computer Science and Engineering and Laboratory 3 0 2 4 100
6 TSN101A Professional Communication 0 0 2 2 50
Total 14 1 10 21 550
Total number of contact hours per week 23

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTF201A Engineering Mathematics-3 3 1 0 4 100
2 CSC201A Discrete Mathematics 3 1 0 4 100
3 CSD201A Data Structures Foundation 3 0 0 3 100
4 CSD202A Logic Design 3 1 0 4 100
5 CSD203A Microprocessors and Architecture 3 0 0 3 100
6 BAU201A Innovation and Entrepreneurship 3 0 0 3 100
7 CSD204A Python and Data Structures Laboratory 0 0 2 1 50
8 CSD205A Microprocessors Laboratory 0 0 2 1 50
Total 18 3 4 23 700
Total number of contact hours per week 25

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 MTF202A Engineering Mathematics-4 3 1 0 4 100
2 CSC203A Software Development Fundamentals 3 0 0 3 100
3 CSD207A Programming Paradigms 3 1 0 4 100
4 CSD206A Design and Analysis of Algorithms 3 0 0 3 100
5 CSC202A Advanced Data Structures 3 0 0 3 100
6 CSL201A Formal Languages and Automata Theory 3 0 0 3 100
7 BTN101A Environmental Studies 2 0 0 2 50
8 CSL202A Software Development Laboratory 0 0 2 1 50
9 CSD208A Programming Paradigms Laboratory 0 0 2 1 50
Total 20 2 4 24 750
Total number of contact hours per week 26

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 CSC302A Data Mining 3 1 0 4 100
2 MTE301A Probability and Statistics 3 0 0 3 100
3 CSC302A Database Systems 3 0 0 3 100
4 CSD301A Computer Networks 3 0 0 3 100
5 CSC304A Operating Systems 3 0 0 3 100
6 CSC301A Compilers 3 1 0 4 100
7 CSL302A Database Systems Laboratory 0 0 2 1 50
8 CSL301A Computer Networks Laboratory 0 0 2 1 50
9 CSL303A Operating Systems Laboratory 0 0 2 1 50
Total 18 2 6 23 750
Total number of contact hours per week

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 CSC305A Graph Theory and Optimization 3 0 0 3 100
2 CSC306A Information Security and Protection 3 1 0 4 100
3 CSC307A Web Architecture and Application Development 3 0 0 3 100
4 AID201A Principles of Artificial Intelligence 3 0 0 3 100
5 CSC308A Computer Graphics 3 1 0 4 100
6 xxxxxx Professional Core Elective-1 or Online Course 3 1 0 4 100
7 CSS301A Seminar 0 0 2 1 50
8 AID202A Artificial Intelligence Laboratory 0 0 2 1 50
9 CSL304A Web Architecture and Application Development Laboratory 0 0 2 1 50
Total 18 3 6 24 750
Total number of contact hours per week 27

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 xxxxxx Professional Core Elective-2 or Online Course 3 1 0 4 100
2 xxxxxx Professional Core Elective-3 or Online Course 3 1 0 4 100
3 xxxxxx Open Elective-1 or Online Course or Innovation Course 3 0 0 3 100
4 CSP401A or CSI401A Project Work-1 or Internship 0 0 12 6 200
Total 9 2 12 17 500
Total number of contact hours per week 23

Sl. No. Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Total Credits Max Marks
1 CSP402A Project Work-2 or Internship 0 0 24 12 300
Total 0 0 24 12 300
Total number of contact hours per week 24

Stream PCE-1 PCE-2 PCE-3
Software Development CSE301A CSE405A CSE407A
Software Architecture Principles and Practices of Software Testing Service Oriented Architecture
Artificial Intelligence CSE309A ISE402A ISE404A
Computer Vision Text Mining Internet of Things
Models of Computation CSE302A MCC309A MCE405A
Principles and Practices of Cryptography Quantum Computing Theory of Computation
Networks CSE303A CSE406A ISE404A
Wireless Networks Software Defined Networks Internet of Things
Applied Mathematics MTE302A MTE401A MTE403A
Advanced Mathematics Optimization Techniques Advanced Numerical Methods
Data Science and Analytics CSE411A CSE421A CSE431A
Data Sciences Foundation Data Mining Data Analytics
Note:

Students are required to select:

One Professional Core Elective Course in the 6th Semester from PCE-1 Group.

Two Professional Core Elective Course in the 7th Semester from PCE-2 and PCE-3 Groups.

Eligibility Criteria

Candidates have to have passed 10+2 examination with Physics and Mathematics as compulsory courses, along with Chemistry, Biotechnology, Biology, Electronics, and Computer Science.

General category students need at least 45% aggregate marks in the courses mentioned above.

Reserved category students need at least 40% in the courses mentioned above.

Foreign students need to have a 10+2 equivalent qualification approved by Association of Indian Universities.

Candidates should have proof of proficiency in English with a minimum TOEFL score of 8.

General category candidates must have passed a diploma examination from an approved institution with a minimum of 45% marks.

Reserved category candidates must have passed in an appropriate branch of Engineering or Technology with a minimum of 40% marks.

General category candidates must have passed a B.Sc. from a University recognised by UGC with a minimum of 45% marks.

Reserved category candidates must have passed with a minimum of 40% marks and passed 12th standard with Physics and Mathematics as courses.

Structure

Fee Structure
Total Fee for 1st year NRI fee in USD
500000 7500

Intake

240 students.

Career Path

  • Software Developer
  • UX/UI Designer
  • Big Data Engineer
  • Game Developer
  • Computer Network Architect
  • Machine Learning Engineer

FAQs

Yes. As per the UGC Reference Letter No: F 8 – 22/2013(CPP1/PU) dated 21 July, 2016, Ramaiah University of Applied Sciences is recognised by the University Grants Commission.

Yes. Ramaiah University of Applied Sciences is approved by the AICTE. Refer to Approval Reference Number F. No. South-West/2020 – 21/1 – 7161814455, dated 30 June 2020.

RUAS has 10 Faculties that together offer more than 90+ programmes in different fields of study and of different levels. For programme-specific details.

At RUAS, students can apply for a programme online or in person. For details on how to apply online

The fee structure for programmes differs based on the level of the programme and the student’s category. 

As per the rules of the University, the entire fee amount must be collected at the beginning of the year and cannot be paid per semester.

The Gnanagangothri Campus and the Technology Campus have well-planned hostel facilities for students. However, the on-campus accommodation at Technology Campus is currently restricted to female students only.

Students from both campuses can also opt for private, off-campus accommodation.

Once you have applied for a programme, you will be given login credentials like a User ID and a Password. Using these, you can then log in and choose the day and time of your test from the given options. For more details and instructions.

While the actual date varies every year, admissions for UG programmes close in the month of August, while those for PG programmes close in September.

The Faculties of Engineering & Technology, Art & Design, and Mathematical & Physical Sciences are housed in the Technology Campus. Therefore, all programmes offered by these Faculties are conducted in the Technology Campus.

Similarly, the Gnanagangothri Campus on New BEL Road is home to the Faculties of Dental Sciences, Pharmacy, Hospitality Management and Catering Technology, Management & Commerce, Life & Allied Health Sciences, School of Social Sciences and School of Law and the programmes offered by each of them

No. While MSRIT is an autonomous college under VTU, RUAS is a private university. Both institutions are, however, managed by the same group.

Yes. The University offers students scholarships. Students can also opt for scholarships offered by the state and central governments, or by private organisations and charities.

Testimonial

testimonials
quotation icon
“Life changed when I decided to join RUAS and it changed for good! Today I can only tell that it was my luck and fortune to be the part of RUAS”
Shree Lakshmi N

Contact

Start your journey with MSRUAS

Dr. Rinki Sharma
Department of Computer Science and Engineering.

Admission 2024

ADDRESS

New BEL Road, MSR Nagar , Bangalore - 560054