MS Computer Science & Engineering

Course Overview
Programme Outcomes

KLE Technological University (KLE Tech.) continually strives to contribute to the continuous learning of our stakeholders: students and industry collaborators. KLE Tech wants to be a knowledge partner with the industry and part of ongoing industry projects. Towards this, a research-oriented Master's program MS (Engg) by Research, is proposed to cater to the research thirst of the professionals working in R&D organizations. This program motivates scholars to keep up with current technological trends, deploy systematic state-of-the-art technology, and facilitate the creation of new technology. The University started MS (Engg) By Research in the Visual Intelligence domain during 2020-21. This program is a win-win platform for KLE Tech, and the scholars as it ensures that our axes are sharpened and caters to the higher study aspiration of R&D professionals. Currently, the research scholars pursuing MS (Engg) by Research are from industries such as Bosch, Docketrun, etc.; few are doing the course work, and others are doing the thesis research work.

KLE Tech Team

Theme: Visual Intelligence:

Sl No	Researchers	Research Domains
1	Dr. Uma Mudenagudi, Professor, SoECE	Computer Vision and ML/DL
2	Dr. Meena S M, Professor, SoCSE	Optimization of AI/ML
3	Dr. Sujatha C, Professor, SoCSE	Video Processing and ML/DL
4	Dr. Satyadhyan C, Professor, SoCSE	HPC/ ML/DL
5	Dr. Ujwala Patil, Professor, SoECE	Visual Intelligence
6	Dr. Uma Neeli, Assoc Prof, Dept of Mathematics	Mathematics

Consolidated Course Work Details for MS (Engg) by Research Program 2022-23

Semester	Course Code	Course Name	Course Type	Credits	ISA	ESA	Exam Duration
I	20ECSB701/ 20EECB701	Linear Algebra	B (MOOC)	4-0-0	50	50	3hrs
I	20ECSC701/ 20EECC701	Machine Learning	PC	3-0-1	50	50	3hrs
II	20ECSR701/ 20EECR701	Research Methodology	R	2-0-2	50	50	3hrs
II	20ECSC702/ 20EECC702	Fundamentals of Image and video processing	PC	3-0-1	50	50	3hrs
III	20ECSC703/ 20EECC703	Optimization Techniques	PC	3-0-1	50	50	3hrs
	20ECSE701/ 20EECE701	Elective	E (MOOC)	3-0-1	50	50	3hrs
	20EECP701/ 20ECSP701	Thesis Phase-1	PC	0-0-10	50	50	1hrs
IV	20EECP702/ 20ECSP702	Thesis Phase-2	PC	0-0-15	50	50	1hrs
V	20EECP703/ 20ECSP703	Thesis Phase-3	PC	0-0-20	50	50	1hrs
VI	20EECP704/ 20ECSP704	Thesis Phase-4	PC	0-0-20	50	50	1hrs
VI	20EECP704/ 20ECSP704	Thesis Phase-4	Total	89	50	50	1hrs

B: Basic Science, PC: Program Core, R: Research, E: Elective, ISA: In Semester Assessment, ESA: End Semester Assessment

MS (Engg) by Research Program Structure

	Year-1		Year-2		Year-3
	I sem	II sem	III sem	IV sem	V sem	VI sem
Part-1 Course work	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.

The assessment of Part 2 will begin from 1st semester onwards. The Research Review Committee (RRC) and School Research Committee (SRC) will review the progress and submit recommendations to the Research Program Committee (RPC). The students need to submit the progress report every semester.
Maximum duration of the program is 3 years (6 semesters); extension of duration to complete the program shall be permitted with prior permission taken from SRC and RPC.
The program fee is Rs. 3,00,000 (One Lakh per year).
The coursework must be completed in 2 years (4 semesters). Failing to meet the criteria, the scholar needs to re-register the course(s) and complete the same in the 5th semester.
The research scholar must complete the coursework, publish at least one research paper based on thesis work in an indexed journal, and complete thesis viva-voce to become eligible for the degree award.

Course work Evaluation

Program Core (PC) / Basic Science (B) / Research (R) / Elective (E) courses:

The coursework evaluation has two components: In-Semester Assessment (ISA) and End Semester Assessment (ESA).
ISA will be conducted for 50 marks; it is mandatory to score the minimum ISA marks prescribed by the university to be eligible for ESA.
Course instructors can include assignments, quizzes, course projects, written exams, or a combination of these as a part of ISA and will be informed at the beginning of the course.
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.
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) 6X5=30	FIVE questions of 10 Marks each (covering entire course content) 5X10=30	ONE question of 20 Marks (covering entire course content) 1X20=20

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) marks for MOOC courses based on the performance of candidates in the MOOC course assignments evaluated by the supervisor and 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 be informed 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) 6X5=30	FIVE questions of 10 Marks each (covering entire course content) 5X10=30	ONE question of 20 Marks (covering entire course content) 1X20=20

CALL FOR MS(Engg) by Research Admission in Visual Intelligence: 2024-25

KLE Technological University always strives to build industry-academia engagement to provide a forum for the collaborative research. Towards this, Masters program, MS (Engg) by Research in Visual Intelligence is started to cater the research thrust of industry professional.

Research focus areas

Program Duration: 3 years (6 semesters, two semesters per year)

Expectations:

Six coursework to be completed in 2 years.
POC / Product with indexed publication for the award of degree.

Who can apply: BE or equivalent from a recognized university with an average score of 70% / patent in the scholar’s name as an inventor. An impressive research profile can be given higher priority.

Interested aspirants fill out this form https://forms.gle/du7kc66HKDCMgxp66 by 31 August 2024.

Download the poster here.

Call for admission MSE