MLRITM | Top Engineering College in Hyderabad, Telangana
  • Dundigal, Hyderabad, Telangana - 500043
  • info@mlritm.ac.in

EAPCET Code: MLRS

MARRI LAXMAN REDDY

INSTITUTE OF TECHNOLOGY AND MANAGEMENT

Admissions Open-2026 Summer Internships-2026 GRE Registration
Campus Placements 2026 :
Cognizant (72) • TVS (51) • TCS (30) • HCL (21) • Zentree Labs (9) • Deloitte (7) • Movate (7) • Intellicrats (3) • Acruent IT (2) • Aveva (1) • Juspay (1) • Work4Flow (1) • GE Appliances (1) • Mehta Hitech (1) • Terratern (1) • Innovacx (1) • Infosys (27) • ITC Infotech (13) • SLK Software (4) • Virtusa (3) • AI Health (1) • Kode Bloom (1) • PARA Innovation (1) • KT Semicon (1) • Integer Telecom (9) • JMAN (4)
Cognizant (72) • TVS (51) • TCS (30) • HCL (21) • Zentree Labs (9) • Deloitte (7) • Movate (7) • Intellicrats (3) • Acruent IT (2) • Aveva (1) • Juspay (1) • Work4Flow (1) • GE Appliances (1) • Mehta Hitech (1) • Terratern (1) • Innovacx (1) • Infosys (27) • ITC Infotech (13) • SLK Software (4) • Virtusa (3) • AI Health (1) • Kode Bloom (1) • PARA Innovation (1) • KT Semicon (1) • Integer Telecom (9) • JMAN (4)
Campus Placements 2025 :
Cognizant (65) • Global Logic (36) • Tech Mahindra (20) • Infosys (18) • CADSYS (18) • Global Quest (17) • HCL (16) • Stellar Innovation (15) • SLK (9) • Sri Chakra (8) • EIDIKO (8) • KodeBloom Technology (7) • Altus Energy (6) • Cognizant BPO (6) • Nous Infosystems (4) • Nucleonix (4) • Genpact (3) • People Tech (3)
Cognizant (65) • Global Logic (36) • Tech Mahindra (20) • Infosys (18) • CADSYS (18) • Global Quest (17) • HCL (16) • Stellar Innovation (15) • SLK (9) • Sri Chakra (8) • EIDIKO (8) • KodeBloom Technology (7) • Altus Energy (6) • Cognizant BPO (6) • Nous Infosystems (4) • Nucleonix (4) • Genpact (3) • People Tech (3)

Educational Objectives & Outcomes

Educational Objectives & Outcomes

Program Educational Objectives (PEOs)

PEO No.Program Educational Objective
PEO 1Professional Competence: Graduates will possess strong theoretical and practical knowledge in Artificial Intelligence and Machine Learning to solve complex real-world problems, pursue higher education, or excel in professional careers.
PEO 2Innovation and Research Orientation: Graduates will engage in innovative practices, cutting-edge research, and contribute to the advancement of AI and ML technologies through collaboration with industry and academia.
PEO 3Leadership and Lifelong Learning: Graduates will exhibit leadership qualities, effective communication, and teamwork skills, and continuously upgrade their knowledge to adapt to evolving technological landscapes.
PEO 4Entrepreneurial and Community Engagement: Graduates will leverage entrepreneurial skills and civic responsibility to create AI-driven solutions that benefit local and global communities.

Program Outcomes (POs)

PO No.Program Outcome
PO1Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop solutions to complex engineering problems.
PO2Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3Design/Development of Solutions: Design creative solutions for complex engineering problems and develop systems/components/processes to meet identified needs with consideration for public health, safety, whole-life cost, net zero carbon, culture, society and environment. (WK5)
PO4Conduct Investigations of Complex Problems: Conduct investigations using research-based knowledge including design of experiments, modelling, analysis and interpretation of data to provide valid conclusions. (WK8)
PO5Engineering 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)
PO6The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems with respect to sustainability, economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
PO7Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national and international laws. (WK9)
PO8Individual and Collaborative Team Work: Function effectively as an individual, and as a member or leader in diverse and multidisciplinary teams.
PO9Communication: Communicate effectively and inclusively within the engineering community and society, including writing reports, design documentation, presentations, considering cultural, language and learning differences.
PO10Project Management and Finance: Apply engineering management principles and economic decision-making to manage projects as a member or leader in multidisciplinary environments.
PO11Life-Long Learning: Recognize the need and ability for (i) independent and life-long learning, (ii) adaptability to emerging technologies, and (iii) critical thinking in the context of technological change. (WK8)

Program Specific Outcomes (PSOs)

PSO No.Program Specific Outcome
PSO1Able to identify, analyze, and solve problems related to Artificial Intelligence and Machine Learning by applying fundamental knowledge of Computer Science and Engineering.
PSO2Able to use innovative tools and techniques to build project models in areas such as Deep Learning, Machine Learning, and Artificial Intelligence.
PSO3Able to apply AI and ML knowledge in interdisciplinary domains to address societal, environmental, health, and safety challenges aligned with Sustainable Development Goals.
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