DATA ENGINEERING
Department at a Glance
Message from the Head of the Department
We take great pride in introducing the recently established Data Engineering Department within the School of Computer Science. This department is dedicated to three distinct sections, which have been designed and categorized based on emerging technologies in the field of Computer Science.
These undergraduate engineering course has been started by the institute from the academic year 2022-23 with the intake capacity of 60 seats per section.
The sections include: 1. Artificial Intelligence and Machine Learning, 2. Data Science, 3. Internet of Things and Cybersecurity, including Blockchain Technology
Our programs under the Department of Data Engineering aim to excel as an educational center for technical education. Our goal is to transform aspiring students into skilled and well-rounded software professionals. We emphasize a strong understanding of fundamentals, a flair for responsible innovation in engineering practical and robust solutions, and in still confidence to meet the challenges in their chosen professional domains.
Those who enjoy problem-solving, have strong analytical skills, and possess a desire to contribute to the technological advancements of various domains would find Data Engineering an ideal choice.
Laboratories
Courses offered
Course Offered | Specialization | Intake |
|---|---|---|
B.Tech | IoT & CS with BCT | 60 |
B.Tech | Artificial Intelligence and Machine Learning | 60 |
B.Tech | Data Science | 60 |
Professional Memberships
- Being formally recognized as a professional in your field & gaining professional status often helps get a more senior.
- Being able to mix with others in your profession both socially and professionally & get support in lifelong learning and training.
- Having access to technical knowledge in the form of text books, online resources, journals and training courses.
- Being able to contribute your expertise when a new regulation or policy needs to be put together e.g. setting standards.
- Being able to promote your field in society & able to mentor younger members to help them develop further.
Student Chapters : IEEE, ACM, CSI
Vision
Department of Data Engineering strives to become a center par excellence for technical education where aspiring students can be transformed into skilled and well-rounded software professionals with strong understanding of fundamentals, a flair for responsible innovation in engineering practical and robust solutions applying the fundamentals, and confidence to meet the challenges in their chosen professional spheres.
Mission
Aspire to reach higher quality benchmarks in training students on all skills expected of a computer professional through:
- A meticulously planned yet flexible learning process administered:
- By accomplished teachers who are encouraged to keep in touch with latest developments in their respective areas of interest
- With state-of-the-art infrastructure providing a stimulating learning environment.
- Thorough and compassionate student-centric delivery
- Continuous assessment of the effectiveness of learning processes through stake holders’ feedback.
- Continuous fine-tuning aimed at improvement.
The Choice Based Credit System allows students to move to Institutions across the world with flexibility to transfer their credits.The proposed CBCS allows the students to choose from core electives, free electives and audit courses. 29 elective choices are provided out of which a student has to choose any 8 elective courses that he/she would pursue in various semesters starting from 1 elective in 5th Semester, 1 elective in 6th Semester, 5 electives in 7th Semester and 1 elective (a self-study course with optional attendance requirement) in 8th Semester.
The electives are divided into 3 thrust areas, Business Intelligence, Networks, Enterprise Architecture and 1 Generic group, with each of the thrust areas having 7 electives and generic group having 8 options. Any student should choose 1 of the 3 thrust areas in which he/she will do 4 electives thereby indicating that thrust area as his/her major choice. The thrust area has Level 2 courses four of which are advanced, are designed to cater to Industry standards and are dependent on two Level 1 courses. One Level two course has no dependency.Any student should also mandatorily choose 2 electives from the generic group. He can go to a maximum of 3.
He picks 1 of these 2 groups as his/her minor group and picks 1 Level 3 or 1 level 3 and 1 level 4 from that group. This way, the course structure has been designed to allow complete flexibility to students while at the same time, preserving dependencies between the core (prerequisite) courses and the advanced(Research/Industry oriented) courses.
The need for add-on courses is to improve the skills and increase the employability of students. At MVGR, in house training is provided by Industry and Academia experts. Training on specific tools is conducted typically biannually in the college. Certifications are offered to students on Industry related courses at a subsidized cost, apart from encouraging them to take atleast a MOOCs course for self study by the completion of their graduation. Also, through the IUCEE consortium, experts from abroad conduct online training through webinars in addition to periodically visiting the institution and conducting workshops on emerging fields in Computer Science and Engineering. Some of the add-on courses offered by the Institution are:
- Cisco Networking Academy
- CCNA
- Cyber Ops
- IoT Connecting Things
- C, C++ , Basic and Advanced Programming
- Python Prograaming
- IoT Security
- IoT Data Analytics
- IT Essentials'
- Linux Essentials
- EC Council Academy:
- CEH v11
- Blue Prism RPA Academy
- RPA Foundation Course
- RPA Assocaite Developer
- AWS Academy
- AWS Cloud Fundamentals
- AWS Solution Architect
- Palo Alto Acamedy
- Palo Alto Certified Cyber Security
- Entry level Technician
- Redhat Linux Academy
- Redhat System Administration
138 students from 2015-19 batch are placed in MuSigma, CapGemini, TCS, Gelnwood, Spyry, CtrlS, Syntel, MAQ software, AxiomIO technologies etc. 78 students from 2014-18 batch are placed in different MNCs like TCS, Virtusa-Polaris, Sonata, Nagarro, Miracle, Innovate apps, Tilicho Intern, Cyient, Apps Associate, Efftronics, Dazeworks,Abhra Inc,Webnoo Technologies, Artech Info, CaddyCode, Full Creative ,CodeNovus, Multiplier Solutions, Trianz, Com Tec etc.
- Dr. Ravi Kiran Varma P, Associate Professor, organized IoT Boot Camp for 40 students of different engineering colleges.
- Mr.K.V.SubbaRaju, Assistant Professor, organized workshop on Cyber Security Essentials
- Dr. P. Sateesh, Associate Professor has got Outstanding Scientist award from Venus International Foundation
- Students Mr. SVSRK Praveen, KVS Sai Manoj and P.Siva Gowtham have secured All India 20th Rank and World Wide 344 Rank in the IEEE Xtreme 2017, a 24 hour international coding competition held on 14th October 2017.
- Dr. Ravi Kiran Varma P, Associate Professor, CSE, received "CISCO Networking Academy Instructor Excellence Award 2017" in March 2018.
- Dr. Ravi Kiran Varma P, was awarded Senior Member of IEEE and ACM in May 2018.
- Dr. Ravi Kiran Varma P, stood as Topper (Top 1%) in the NPTEL 12 weeks course, "Introduction to Internet of Things", offered by IIT Kharagpur in May 2018.
- Dr. Ravi Kiran Varma P, has delivered invited talk as one of the resource person for "two-week workshop on Data Analytics for Cyber Security in the Centre for Cyber Security and Data Analytics, AUCE(A), Visakhapatnam which is sponsored by ISEA Project phase-II of Ministry of Electronics and IT, Govt. of India.
- Mr. K.V Subba Raju, successfully completed “CISCO CYBEROPS” course and he is one of the first 300 instructors worldwide and first 10 in India.
- Mr. K.V Subba Raju, got “Expert Level Instructor Award” in recognition of EXPERT LEVEL INSTRUCTOR EXCELLENCE and lasting contributions to the CISCO NETWORKING ACADEMY PROGRAM in 2017.
- Dr. G. Suvarna Kumar achieved best thesis award from CSI, India.
- Dr. G. Suvarna Kumar & Dr.G. Sandhya Devi together published book titled “Towards quality improvement in learning environment” by LAP Lambert academic publications, London. ISBN: 13-978-613-9-81602-6.
HoD Contact – 08922 241198
Email – [email protected]
Department No. With Extn. - 08922 241732, Extn. -- 501,502