JIS University

19 Programs 3 Degree levels
Masters

MTech Computer Science (Artificial Intelligence and Machine Learning)

Offered at JIS University
DegreeMasters
FieldArtificial Intelligence

A two-year MTech focused on advanced AI and ML theory plus practical system design, suited to graduates in computer science, engineering or related disciplines who want to build or research intelligent systems. The programme blends coursework with hands‑on projects and industry exposure to prepare students for technical and research roles in AI/ML.

Programme overview

The M.Tech. in Computer Science with specialisation in Artificial Intelligence and Machine Learning is a 2‑year (4 semesters) postgraduate programme that develops advanced theoretical foundations and practical skills in AI, ML and allied computational areas. Study emphasizes deep learning, neural networks, natural language processing, computer vision, robotics and big‑data analytics, and encourages research, innovation and entrepreneurial activity through projects and industry internships.

What you'll study

The curriculum concentrates on core AI and ML techniques and their application. Key topic areas named in the programme description include:

  • Deep learning and neural network architectures
  • Natural language processing
  • Computer vision
  • Robotics
  • Big data analytics
  • Design and deployment of intelligent systems using contemporary AI/ML tools and platforms

Entry requirements

The source material lists eligibility but does not specify numeric criteria. Applicants should expect typical MTech entry expectations: a relevant undergraduate degree in engineering, computer science or a closely related field and any institute‑specified qualifying marks or entrance test requirements.

Career prospects

Graduates leave with skills to design and implement intelligent systems for applied and research contexts. Typical occupational directions implied by the programme content include roles in AI/ML engineering, data analytics, computer vision and NLP application development, robotics engineering, and research or entrepreneurship in AI technologies.

Scholarships & funding angle (general)

The programme description highlights industry internships and research projects but gives no scholarship details. Prospective students should check the university’s graduate funding pages for scholarships, assistantships, project funding or industry‑sponsored internship support and also consider external fellowships and employer sponsorships.

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Programme details are indicative and may change — always verify current information with the official university website before applying.