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The Department of Computer Science and Engineering has eminent faculty with a blend from Academics and industry with varied specializations to impart their skill on latest technologies for B.Tech students. The department offers a Doctoral program (Ph.D) in Computer Science and Engineering and working on emerging areas. Center of Excellence Labs have been functioning on cutting edge technologies such as Artificial Intelligence & Machine Learning, IoT, Cyber Security, Cloud & Fog Computing and Software Engineering. Department faculty has been executing several funded research projects. Had MoUs with reputed MNCs such as IBM, Microsoft, CISCO etc to be in tune with industry developments and requirements."

 

Why Choose MRUH CSE:

• Qualified & Experienced Faculty

• Industry ready course content

• Well planned academic curriculum

• Course delivery through real world applications

• Career Prospects.

 

Institute Vision and Mission

Vision

To be a world class University visualizing a great future for the young aspirants, with innovative nature, research culture and ethical sensitivities to meet the global challenges improving the Quality of Human Life.

 

Mission

To impart value-based futuristic higher education moulding students into globally competent empowered youth, rich in culture and ethics along with professional expertise.

 

To promote Innovation, Entrepreneurship, Research, and Development for the broad purpose of fulfilling societal goals such as Societal Welfare and benefit.

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Department Vision and Mission

Vision

To emerge as a Centre of Excellence in Computer Science and Engineering education, research and innovation, nurturing globally competent, ethically grounded computer science professionals and entrepreneurs equipped with contemporary computing skills to address real-world and societal challenges.

 

Mission

• To impart quality, value-based and futuristic education in the core and emerging areas of Computer Science and Engineering building strong theoretical foundations and industry-relevant practical skills.

• To inculcate professional ethics, human values, effective communication and teamwork among students, moulding them into globally competent and socially responsible engineers.

• To foster a culture of research, innovation, and entrepreneurship by integrating project-based learning, industry-oriented application development, internships, and strategic global partnerships.

• To promote continuous learning, skill enhancement and adaptability to rapidly evolving technologies, enabling students to contribute meaningfully to industrial growth and societal development.

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Program Educational Objectives (PEOs)

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PEO 1: Graduates will apply their strong foundation in mathematics, computing fundamentals and Computer Science & Engineering principles to analyse, design and develop efficient, innovative solutions for complex real-world computing problems

PEO 2:  Graduates will build successful careers in software industry, IT services, research organisations, higher education or as entrepreneurs, by leveraging expertise in emerging technologies such as Artificial Intelligence, Data Science, Cloud Computing, and Cybersecurity.

PEO 3: Graduates will demonstrate professional and ethical responsibility, effective communication, teamwork and leadership while working in multidisciplinary and diverse environments to meet organizational and societal needs.

PEO 4:  Graduates will pursue higher education and continuous learning to innovate, undertake research, and build entrepreneurial solutions that address socio-economic priorities and environmental sustainability

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Program Outcomes (POs)

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After completion of B.Tech in Computer Science and Engineering, the graduates will be able to –

PO1: Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4) PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).​

PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for

          i) independent and life-long learning

          ii) adaptability to new and emerging technologies and

          iii) critical thinking in the broadest context of technological change. (WK8)

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Programme Specific Outcomes (PSOs)

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PSO 1: Analyse, design, develop, test and deploy efficient software applications and systems using modern programming languages, data structures & algorithms, and full-stack web/mobile development frameworks.

PSO 2: Apply knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics, Data Visualization, Cloud Computing and IoT to design intelligent, data-driven systems for real-world applications.

PSO 3: Employ modern AI tools, software project management practices to demonstrate entrepreneurial and research aptitude gained through industry-integrated internships, projects and continuous professional learning.

 

Focus Areas:

• Deep Learning

• Reinforcement Learning

• Neural Networks

• Speech Recognition Technologies

• Computer Vision

• Natural Language Processing

• Robotic Applications

• Data Science & Big Data

• Cyber Security

• Security Certifications

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Innovative Pedagogies:

• On-demand video lecture streaming

• Cloud based tools for online teaching.

• Discussion forums for doubts clarification

• Course projects towards realizable prototypes.

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Skill Development:

• Coding skills: Programming skills in C, C++, Java, Python, Cognos, Informatica, AS/400 etc.

• Hardware skills: Ardunio, Raspberry Pi Boards.

• Soft skills: Hobby clubs

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Internships & Placements:

• Internships in industries

• Entrepreneurship cell   

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Admissions:

B.Tech CSE is a comprehensive course in Computer Applications and System. It deals with designing and developing Software Applications with integration of different algorithms. Through this course, the students will be able to understand, learn and use different Programming Languages, Data Base, Deep Learning, Neural Networks, Artificial Intelligence and Machine learning etc. The course delivery methods include lectures, lab work, industrial training, assignments, workshops etc. Students are also encouraged to take up a research project.

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Curriculum:

In the department, the following areas of research are highlighted under research groups internally, Data Visualization, Data Base Management Systems, Artificial Intelligence, Deep Learning, Natural Language Processing, Perception and Computer Vision, Cognitive Computing, Automata and Compiler Design, Data Structures, Object Oriented Programming, Enterprise Programming.

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UG Research Opportunities:

Students are involved in Research Projects in various domains where the faculty are working on cutting edge technology.

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Online Learning:

Department is partner with IBM in completing the online courses on IBM platform.. Through IBM course, the students will be able to understand, learn and use different programming languages, take specialization courses etc Many more certifications are planned.