MS (Engg.) by Research in Visual Intelligence (CSE)

Advancing Visual Intelligence through Applied Research

The MS (Engg.) by Research in Visual Intelligence at KLE Tech is designed for R&D professionals and aspiring researchers looking to explore the frontiers of AI, Computer Vision, and Deep Learning. Launched in 2020–21, this industry-driven research program enables scholars to work at the intersection of academic rigor and real-world application.

The curriculum blends structured coursework with an extensive thesis component, encouraging innovations in multimodal learning, XR, 2D/3D data processing, and more. The program is structured for part-time scholars, making it ideal for working professionals from organizations like Bosch and Docketrun, who pursue either course modules or thesis research based on their academic progress.

Research Team & Domains

No.
Researchers
Research Domains
01
Dr. Uma Mudenagudi, Professor, SoECE
Computer Vision and ML/DL
02
Dr. Meena S M, Professor, SoCSE
Optimization of AI/ML
03
Dr. Sujatha C, Professor, SoCSE
Video Processing and ML/DL
04
Dr. Satyadhyan C, Professor, SoCSE
HPC / ML/DL
05
Dr. Ujwala Patil, Professor, SoECE
Visual Intelligence
06
Dr. Uma Neeli, Assoc. Professor, Dept of Mathematics
Mathematics

Consolidated Coursework Details (2022 - 23)

Semester Course Code Course Name Type Credits ISA ESA Duration
I 20ECSB701 / 20EECB701 Linear Algebra B (MOOC) 4-0-0 50 50 3 hrs
20ECSC701 / 20EECC701 Machine Learning PC 3-0-1 50 50 3 hrs
II 20ECSR701 / 20EECR701 Research Methodology R 2-0-2 50 50 3 hrs
20ECSC702 / 20EECC702 Fundamentals of Image and Video Processing PC 3-0-1 50 50 3 hrs
III 20ECSC703 / 20EECC703 Optimization Techniques PC 3-0-1 50 50 3 hrs
20ECSE701 / 20EECE701 Elective E (MOOC) 3-0-1 50 50 3 hrs
20EECP701 / 20ECSP701 Thesis Phase-1 PC 0-0-10 50 50 1 hr
IV 20EECP702 / 20ECSP702 Thesis Phase-2 PC 0-0-15 50 50 1 hr
V 20EECP703 / 20ECSP703 Thesis Phase-3 PC 0-0-20 50 50 1 hr
VI 20EECP704 / 20ECSP704 Thesis Phase-4 PC 0-0-20 50 50 1 hr

Total Credits: 89
Legend: B – Basic Science | PC – Program Core | R – Research | E – Elective

MS (Engg.) by Research Program Structure

No.
Year-1
Year-2
Year-3
I sem
II sem
III sem
IV sem
V sem
VI sem
Part-1 Course work
Dr. Meena S M, Professor, SoCSE Course work 6 courses, 2 per sem
Part-2 Thesis work
Selection of research domain, Reading SOTA, getting familiarity with the terminologies.
Selection of research area, Literature survey, Identifying gaps.
Literature survey, formulating the research problem statement and defining objectives
Working on objectives, indexed publication, thesis submission, and final viva voce.

Research Focus Areas

  • 2D Data Acquisition & Processing
  • 3D Data Acquisition & Processing
  • Multimodal Learning
  • On-device Optimization
  • Extended Reality (XR)
  • Engineered Data

Massive Open Online Courses ( MOOC )

  • With the recommendation of RRC and course instructors, candidates can register for MOOCs.
  • The RRC awards the ISA (Max 50 marks) for MOOC courses based on: Performance of candidates in the MOOC course assignments evaluated by the supervisor.Overall performance indicated on the MOOC certificate issued by the online course provider.
  • It is mandatory to score minimum marks prescribed by the university to be eligible for the ESA.
  • ESA is conducted at the end of the semester on the university campus for 100 marks and will be scaled down to 50.
  • The final grade is awarded based on the total marks obtained in ISA and ESA.
  • If the MOOC course does not conduct any evaluation, the course instructor will conduct an ISA and ESA.
  • The course instructor can include assignments, quizzes, course projects, written exams, or a combination of these as a part of ISA and will inform candidates at the beginning of the course.
  • ESA question paper pattern:
Part A part B part C
ESA Marks: 100 Duration: 3hrs SIX questions of 5 Marks each(covering entire course content) FIVE questions of 10 Marks each(covering entire course content) ONE question of 20 Marks(covering entire course content)
6X5=30 5X10=50 1X20=20
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Have Questions? We’re Here to Help

For any queries regarding the program, eligibility, admission process, fee structure, or anything else you’d like to know — we’re here to help. Whether you’re a prospective student or a parent seeking clarity, feel free to reach out to our team.
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