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M.Tech in Artificial Intelligence

Focuses on advanced concepts and research in artificial intelligence. Covers areas such as machine learning, natural language processing, computer vision, and data mining. Emphasizes research, experimentation, and the development of AI-based solutions. Includes a thesis or research project in collaboration with industry or academia. Taught by experienced faculty with expertise in AI.

Duration

3 Years

Programme Type

Part-time Weekend Programme

Programme Regulations

Programme Structure 2023

Eligibility Criteria

Candidates should have passed in B.E./B.Tech. in CSE/ISE/IT/ECE/EEE/Mechanical/Civil (Any circuit/non-circuit Engineering departments) or M.Sc. in CS/IS/IT/Mathematics or MCA degree with a minimum of 50% marks (45% in case of SC/ST candidates) recognized university.

Key Features

  • Architecture can be defined as the art and science of designing buildings and other physical structures.An amalgamation of creativity and technology, architecture requires mathematical proficiency, technical skills, and artistic ability.
  • The Bachelor of Architecture (B.Arch.) programme, offered by CMR University – School of Architecture, Bangalore, one among the best private university architecture colleges in Bangalore is vital in the fundamentals of architectural theory and practice and response to the changing definitions of architecture in the Indian and global contexts.
  • The emphasis on ‘Practice to Theory’ and ‘Theory to Practice’ makes the B.Arch. programme competitive and relevant. The maker-centred pedagogy is an integrated process of directed, experiential, hands-on, reflective and independent learning.
  • Being a systemic interdisciplinary course, it focuses on creative problem solving and instills self-motivation to learn. This course will impart knowledge and skills required to design built environments for human habitation.
  • CMR University- one of the best universities among the bachelor of architecture colleges in Karnataka’s B.Arch. degree helps enhance the creativity of the students and trains them to face the innovative profession of architecture. This 5-year programme is a blend of theoretical and practical learning, where the students will be exposed to a wide range of techniques and skills required to have a successful career in the field.
  • What kind of education do I need to become an architect? To become an architect, you typically need to earn a professional degree in architecture, which typically takes 5-7 years to complete. You also need to pass a licensure exam to become a licensed architect.

Programme Assessment

Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance.

Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.

Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.

Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.

Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.

Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.

Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Programme Outcome

  • 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 Assessment

  • Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance
  • Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.
  • Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.
  • Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.
  • Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.
  • Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.
  • Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. 
  • Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.
  • various building types, residential, industrial, commercial, transportation, government structures, etc.
  • To integrate structural systems and service systems into design.
  • To design and execute keeping in pace with the emerging needs of the society.
  • To appreciate the fields directly and indirectly related to architecture including Urban Design, Landscape Architecture, Visual Communication, and Industrial Design.
 

Programme Outcome

  • To synthesize the requirements of a client with one’s own ideology in order to arrive at a programme brief.
  • To advise and guide the client about the statutory requirements applicable to a work site.
  • To deploy skills related to site analysis and site zoning.
  • To design various building types, residential, industrial, commercial, transportation, government structures, etc
  • To design various building types, residential, industrial, commercial, transportation, government structures, etc.
  • To integrate structural systems and service systems into design.
  • To design and execute keeping in pace with the emerging needs of the society.
  • To appreciate the fields directly and indirectly related to architecture including Urban Design, Landscape Architecture, Visual Communication, and Industrial Design.

What expertise will you gain?

Advanced knowledge of computer science and artificial intelligence

Expertise in machine learning algorithms and techniques

Understanding of natural language processing and computer vision

Proficiency in data mining and big data analytics

Research and innovation skills in AI

Career Opportunity

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

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

"I loved the infrastructure of CMR University and its management. As a club coordinator I learnt how to manage team and the events helped me to grow my confidence level. I would like to specially thank the placement cell for guiding me and providing me a good platform (company) for my career."

Radheshyam Thakur

Course:BCA Placement at: IQVIA

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FAQs

Ans. M.Tech in Artificial intelligence eligibility is similar to the eligibility required to pursue an M.Tech in Computer Science. Here are the specifics that need to be fulfilled to be eligible to pursue M.Tech in Artificial Intelligence –
Students who have graduated with a minimum of 50% marks ( 45% in case of SC / ST) with a background in BE or B.Tech in the following stream –

  • CSE,
  • ISE,
  • IT,
  • ESE,
  • EEE or
  • M.Sc in CS, IS, IT or Mathematics or MCA.

Ans. M.tech in Artificial Intelligence in itself is a vast subject. There are many concepts that the students are made aware of and taught throughout this three-year, part-time, weekend program.
A few core subjects included in this program are –

  • Machine Learning,
  • Data Structures,
  • Database Management System,
  • Neural Networks,
  • Automatic Programming,
  • Graph Theory,
  • Embedded System,
  • Problem Solving and Reasoning.

Ans. Career options after M.Tech in Artificial Intelligence are endless and highly rewarding. A few career options after completing M.Tech in Artificial Intelligence in Bangalore are –

  • Software Developer,
  • AI Researcher,
  • Prompt Engineer,
  • Data Scientist,
  • Data Engineer, and more.

Graduates can also pursue further studies as Ph.D. students and publish research papers. Researchers in this field are sought after as the application of Artificial Intelligence is still in its infancy stage.

The opportunities after completing M.Tech in Artificial Intelligence are endless. After completing this program at CMRU, students have knowledge of the workings of Artificial Intelligence and their application. This allows graduates to use the various skills and tools learnt during this course to solve complex problems efficiently. The experience gained through this course also allows the students to think out of the box for solutions in difficult situations, thanks to the many projects that the students have worked on during the program.

The future of Artificial Intelligence is prosperous. The advent of Artificial Intelligence has led to fear of losing jobs. Still, one thing that many people need help understanding is how they can learn and use Artificial Intelligence to improve their efficiency at their jobs. Courses on Artificial Intelligence teach a way to use AI to solve complex problems more efficiently, thereby allowing users to do their jobs more efficiently. With this in mind, it is safe to say that courses on AI have a bright future.

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