RVCE-Master of Technology in Software Engineering
The M.Tech. Program in Software Engineering (MSE) was established in the year 2006 with an intake of 18 students. M.Tech. in Software Engineering is a full time program with well established infrastructure and State of the art computing facilities. The Student-Teacher ratio of 17:1 is being maintained consistently over the years. Students are encouraged to work on interdisciplinary R&D, consultancy and entrepreneurial activities. The establishment of Labs with industry partner LDRA, CISCO, WiC, NVidia has enabled students to work on Software Testing and Quality Assurance under able guidance. Students get hands-on experience with modern engineering tools relevant to their courses using Opensource technology enabled labs in domains of Advanced Data Structures & Algorithms, Cyber-Security, etc.
The M.Tech. program provides opportunities for the students to pursue internship in well known companies such as ROBERT BOSCH, CISCO, UNISYS, PHILIPS, ATONARP, NOKIA and MICROCHIP. Students get enhanced placement opportunities in advanced ICT technologies such as Mobile Domain and Social Media, Mobility Analytics and Cloud (SMAC). The alumni are employed in various Public, Private and Educational sectors.
The students of 2018-2020(ongoing final year) batch have been offered internship and full time placement through extensive training and skilling. The maximum salary offered for placement is 30 Lakhs per annum from past 3 years.
The M.Tech. program in MSE offers curriculum with focus on research areas and electives are on par with industry requirements. The program offers core subjects such as Cyber Security & Digital Forensics, Advanced Data Structures & Algorithms, Advanced Software Quality & Testing, Human Computer Interaction, Cloud Native Development, RPA, FSD etc., The M.Tech. students get an opportunity to involve in co-curricular activities by attending Hackathons on latest technologies like Data Science with industry collaboration, Technical Seminars by industry experts, Webinars on course related topics from IEEE, Hands-on Workshops. Students are encouraged to take up Skill test – pre-placement activity in association with Coding Club, present papers in conferences, enroll for ICT enabled MOOC courses, etc as well as exhibit their talent in extra-curricular activities leading to holistic development.
ICT ENABLED TEACHING LEARNING
Along with Chalk-and Talk mode, the department uses blended learning instructional strategies to focus on the student engagement and active learning. MOOCs from NPTEL, Coursera, Udacity, Udemy are learnt as part of supplemental learning. Project based learning is adopted in most of the courses through assignments and lab courses. Quizzes are conducted online to prepare the students to face competitive online exams. Open source software frameworks are utilized for conducting laboratory experiments. For simulation based practice sessions, videos of step wise execution process have been recorded by the faculty and shared with students. Practice sessions for various programming labs are conducted through online coding platforms like hackerearth, hackerrank and so on, to prepare students for competitive programming challenges and placements. Tools and platforms like CANVAS, Google classroom, Github, Gitbook, Codelabs, Moodle, Android Studio, Star UML, Lucid ERD, Anaconda platform, Jupyter notebook, Prometheus, Proteus Design Suite and so on are used in the teaching learning process. Online classrooms, internship projects evaluations are conducted through web conferencing platforms like Zoom, Cisco Webex, GotoMeeting, Skype, Google Meet.
PROGRAM OUTCOMES (PO) :
PO1 : An ability to independently carry out research / investigation and development work to solve practical problems
PO2 : An ability to write and present a substantial technical report / document.
PO3 : An ability to develop softwares in various domains in a systematic way by applying analytical and programming skills leading to practical solutions.
PO4: Design, develop and deliver complex, scalable and cost effective software systems by applying software engineering principles, tools and processes.
PO5 : Demonstrate with responsibilities and capabilities of professional software engineer with importance to quality and management issues involved in software construction.
PO6 : Demonstrated capability to take up higher studies, Entrepreneurships and self-driven career development in the chosen area of interest.
PROGRAMME EDUCATION OBJECTIVES :
PEO1 : Design, build and evaluate software systems of varying complexity based on clients requirements.
PEO2 : Apply the knowledge of software engineering to configure, package and deliver solutions for different sectors like ERP, Web Technology.
PSO: Program Specific Outcomes
M. Tech. in Software Engineering graduates will be able to:
PSO-1 Design, develop and deliver complex, scalable and cost-effective software systems by applying Software Engineering principles, tools and processes.
PSO-2 Comprehend the role and responsibilities of the professional software engineer with importance to quality and management issues involved in software construction.