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M.Tech

Department of Computer Science and Engineering

M.Tech Programmes

The SRM University-AP offers M.Tech programmes in Artificial Intelligence and Machine Learning, Data Science and Cyber Security. The curriculum is designed keeping in view the need of the industry. The students after completing the M.Tech Programme can choose the industry to work or choose the high-quality technical Institutes of international repute to pursue a Ph.D The courses of this programme are taught by highly qualified faculty with overseas exposure to teaching and research.

M.Tech in Artificial Intelligence & Machine Learning

Artificial Intelligence and machine learning is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, Fuzzy Logic, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. Artificial intelligence and machine intelligence technologies bring more complex data-analysis features to existing applications. Therefore, there is a thrust in using machine learning approaches to build new solutions in the business.

Duration

  • 2 Years (4 Semesters)

Specialisations Offered

Natural Language Processing (NLP)
Deep Learning
Robotics and Autonomous Systems
Computer Vision
Reinforcement Learning
Machine learning
Neural networks

Promote design, research, product implementation and services in Artificial Intelligence Engineering through strong technical, communication and entrepreneurial skills.

Engage to work productively as design and development Engineers, catering to supportive and leadership roles in multidisciplinary domains.

Possess the skills in AI & ML expertise ready to provide solutions to society’s problems locally and globally.
Engage in active research for professional development in the field of Artificial Intelligence
Apply, analyse, design and develop efficient and effective mathematical and statistical models and applications in Artificial Intelligence and Machine Learning.
Demonstrate problem-solving and Programming skills to provide innovative solutions to real-time industry problems.
Develop research skills, entrepreneurial skills, and leadership skills to solve social problems and maintain ethical values.
Programme Outcomes (PO)
Engineering Knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to the solution of complex engineering problems.

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety and 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 for complex problems.
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 contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
Understand the impact of 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 engineering practice.
Function effectively as an individual and as a member or leader in teams and in multidisciplinary settings.
Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports and documentation. Make effective presentations and give and receive clear instructions.
Recognise the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Eligibility

A basic degree or equivalent in the following with a minimum aggregate of 60% BE / BTech in CSE / IT / SWE (or) MSc (CSE / IT) (or) MCA with GATE.

Selection Procedure

GATE-qualified candidates are admitted without any test and interview. The Non-GATE candidates will be called for a written test and/or interview. A candidate who has successfully cleared the entrance test shall be considered eligible for an interview.

Duration of the Programme

2 Years

Criterion for Successful Completion of the Programme

The candidate has to earn the total number of credits required to complete the programme. The total number of credits is fixed as per the regulations of the MTech Programme of the University.

Curriculum

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