MTech Computer Science Engineering

In the MTech Computer Science Engineering program at Lakhmi Chand Institute of Technology, the curriculum is designed to foster advanced technical proficiency while promoting a holistic academic experience. Alongside core subjects in algorithms, machine learning, distributed systems, and software architecture, students engage with foundational courses in basic sciences and humanities. These subjects—ranging from applied mathematics, research methodology, and scientific writing to professional ethics and communication—enrich students' analytical and interpersonal capabilities. Their inclusion reflects LCIT’s commitment to nurturing not only skilled engineers but also thoughtful leaders who are equipped to address real-world challenges with clarity, empathy, and innovation.

Teaching Pedagogy

The Department of Computer Science and Engineering is committed to delivering excellence in technical education by adopting innovative and student-centric teaching methodologies. Our teaching pedagogy is designed to empower students with the knowledge, skills, and ethical grounding required to meet global technological challenges.

Outcome-Based Education (OBE)
We follow an Outcome-Based Education approach aligned with national accreditation standards (NBA/NAAC). Clear course outcomes (COs), program outcomes (POs), and program-specific outcomes (PSOs) are defined, assessed, and continuously improved through feedback and analysis.
Blended Learning Approach
- Traditional Lectures with modern digital aids (smart classrooms, PPTs, animations)
- Online Platforms like NPTEL, SWAYAM, Coursera, and MOOC-based learning
- Flipped Classrooms to promote pre-class preparation and in-class interaction
Experiential and Project-Based Learning
- Hands-on experience through laboratory sessions, mini-projects, and final-year capstone projects
- Design thinking, problem-solving, and prototype development encouraged through hackathons, codefests, and tech challenges
- Industry-sponsored projects and open-source contributions foster real-world exposure
ICT-Enabled Teaching
- Learning Management Systems (LMS)
- Online quizzes, simulation tools, coding platforms (like HackerRank, GitHub, CodeChef)
- Interactive whiteboards, virtual labs, and multimedia content
Research-Integrated Learning
- Research-based assignments and literature surveys are incorporated into coursework
- Encouraging students to publish in national and international journals/conferences
- Collaborative research with faculty mentors in areas like AI, IoT, Cybersecurity, and Data Science
Industry-Academia Collaboration
- Regular sessions from industry experts through guest lectures, workshops, and seminars
- Internship and industrial training programs with reputed tech companies
- Curriculum enrichment through industry-relevant tools, certifications (AWS, Microsoft, Oracle)
Skill Development and Certification
- Technical skills enhanced through coding clubs, robotics, and software development cells
- Soft skills, communication, and aptitude training through regular sessions
- Value-added courses and certifications offered in emerging areas like Machine Learning, Blockchain, and Cloud Computing
Continuous Assessment and Feedback Mechanism
- Continuous Internal Evaluation (CIE) through assignments, midterms, quizzes, and viva-voce
- Student feedback and faculty review mechanisms for improving teaching quality
- Outcome attainment analysis to track academic performance and learning effectiveness
Inclusivity and Mentorship
- Personalized mentoring system for academic, career, and emotional support
- Remedial classes and bridge courses for slow learners and lateral entry students
- Encouraging peer-learning and group activities for holistic development
Lifelong Learning and Innovation Culture
- Participation in national innovation contests and start-up culture
- Technical clubs, student chapters (IEEE, ACM, CSI), and innovation cells
- Encouragement for patents, product development, and entrepreneurship

SNO	Faculty Name	Qualification	Designation	Experience (Years)
43	MR. SHUBHAM KAUSHIK	B.Tech, M.Tech (Pursuing)	Asst. Professor	1
34	MR. VISHNU KANT SONI	BE, M.Tech, PhD (Pursuing)	HOD	15
35	MR. AMIT AWASTHI	BE, M.Tech, PhD (Pursuing)	Asst. Professor	14
36	MR. NEETESH NEMA	BE, M.Tech, PhD (Pursuing)	Asst. Professor	14
37	MISS. PRIYANKA RAJAK	BE, MBA, PhD (Pursuing)	Asst. Professor	2
38	MR. ANVESH PANDEY	B.Tech, M.Tech (Pursuing)	Asst. Professor	1
39	MR. VAIBHAV AWASTHI	B.Tech, M.Tech (Pursuing)	Asst. Professor	2
40	MISS MUSKAN NAIK	B.Tech, M.Tech	Asst. Professor	4
41	MISS ANUYOKSHA SINGH	B.Tech, M.Tech (Pursuing)	Asst. Professor	2

Intake

Course	Eligibility	Seats	Duration	Department
No records found for the Computer Science department.

Our VISION and Mission

DEPARTMENT VISION

To be a center of excellence in computer science and engineering education, research, and innovation, producing globally competent professionals with strong ethical values to meet the ever-evolving technological needs of society.

DEPARTMENT MISSION

M1: To provide quality education in computer science and engineering through effective teaching-learning processes and modern infrastructure.
M2: To foster research, innovation, and entrepreneurship by collaborating with industries and academic institutions.
M3: To inculcate professional ethics, communication skills, and a sense of social responsibility among students.
M4: To prepare students for successful careers in industry, academia, and entrepreneurship by imparting lifelong learning skills.

PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to:

Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and computer science to solve complex engineering problems.
Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems to arrive at substantiated conclusions.
Design/Development of Solutions: Design solutions for complex engineering problems and system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental concerns.
Conduct Investigations: Use research-based knowledge and research methods, including design of experiments, analysis, and interpretation of data 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.
Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.
Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO1:Core Competency: Apply principles of computer science, software development, and computational thinking to solve real-world engineering problems.
PSO2:Software Engineering Skills: Design, develop, test, and deploy software systems using modern tools, methodologies, and programming languages.
PSO3:Emerging Technologies & Research: Demonstrate proficiency in emerging areas such as Artificial Intelligence, Machine Learning, Data Science, IoT, and Cybersecurity to address current and future technological challenges.

Computer Science Department Achievements

No achievements found for the Computer Science department.

Computer Science Department Results

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Department: Computer Science

View Result

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