cmr.edu.in

M.Tech in Artificial Intelligence

Programme Introduction  |  Programme USPs  |  Programme Outcomes  |  Eligibility Criteria

Program Introduction

  • Artificial Intelligence (AI) is the sub-area of computer science devoted to creating software and hardware to get computers to do things that would be considered ‘intelligent’ as if people did them.
  • According to the National Association of Software and Services Companies (NASSCOM), the AI sector is expected to be worth $16 trillion by 2030.
  • In order to have the right skill set for the upcoming job opportunities in the areas of AI, which can complement and assist the industry in adopting technology-driven solutions, CMR University is offering a wide spectrum of new-age IT programmes and AI is one among them.
  • This first of its kind M.Tech programme in Artificial Intelligence (AI) is specifically designed to prepare students with theoretical foundations and practical skills of Artificial Intelligence and face the new world of Digital disruption and transformation.

    • Scope of the Program

    The goal of post graduate programs at CMRU is to provide career options for the students in the fast-growing technology sectors of Artificial Intelligence. In addition to all the mandatory subjects of a traditional Postgraduate program, this specialized program offers in-depth practical know-how of the current trend Technology – Artificial Intelligence. These sectors have the potential to grow exponentially and they provide challenging job opportunities for young professionals with the right skill sets.

    Career Opportunities

    • AI Architect
    • Data Engineer
    • Software Engineer
    • Data Scientist
    • AI Developer
    • Research Scientist
    • AI Engineer

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Programme USPs

Amongst the computer science engineering colleges in Bangalore, CMR University offers

  • Design Thinking pedagogies employed.
  • Outcome-based education (OBE) and choice based credit system (CBCS).
  • Emphasis on Experiential Learning.
  • Industry 4.0-compliant academic curriculum.
  • Student engagement through activity-based learning, instructor-led programmes, and customized coding/soft-skills training.
  • Emphasis on DIY.
  • Specialized Maker space for students to innovate real-world projects through multidisciplinary collaboration.
  • Internship Programmes & Capstone projects.
  • IEEE student chapter to promote student research culture.
  • Guidance and support for start-up initiatives. (Encouraging Idea submissions under Start-up India Scheme).
  • Programmes developed on knowledge skill and ability model (KSA)
  • Unique Academics Delivery Model – Programmes are delivered through a unique technology enabled blended delivery model, with ‘The New 3 E’s of Education’- Enable, Engage and Empower.
  • Learning experience is enriched through specially developed Learning Management System (LMS)-JUNO , where students and faculty can access state of art designed content and other artifacts of the learning system like quizzes, assignments, discussion forum and News feed.
 

Programme Outcomes

  • PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and Computer science and an engineering specialization to solve complex engineering problems.
  • PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using mathematics, basic sciences, and computer science and engineering specialists in the field of Computer Science.
  • PO3: Design/Development of Solutions: Design solutions for complex engineering problem using appropriate knowledge of Computer Science for the health sector, education sector, banking and supply chain sectors.
  • PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information using Cryptographic algorithms to provide valid conclusions.
  • PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources and IT tools (WireShark, Metasploit, Cuckoo, Sandbox, YaraRules, Base64, VolUtility, Process Hacker, Hexinator) which helps in building models using Computer Science.
  • PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, security, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7: Environment and sustainability: Understand the impact of Computer Science and engineering solutions in societal and environmental contexts, and demonstrate the knowledge of the same need for sustainable development.
  • PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: Communication: 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.
  • PO11: Project management and finance: Demonstrate knowledge and understanding of the Computer Science concerns and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the advancement of Computer Science
 

Programme Duration

3 years

Programme Type

Part-time weekend program

Who can apply?

Candidates who aspire for a career transition to job roles such as AI Architect, AI Engineer, AI Analyst, Automation Engineer, Robotic Process Automation, Data Scientist, Data Engineer, etc., can apply to this one-of-a-kind 3 years Master’s program in AI. All candidates must demonstrate a passion to learn and a commitment to devote time.

Eligibility Criteria

Candidates must have a minimum of 50% marks (45% in case of SC/ST candidates) in B.E./B.Tech in CSE/ISE/IT/ECE/EEE/Mechanical or M.Sc. in CS/IS/IT/Mathematics or MCA