VVIT

Department of Computer Science Engineering in Data Science

The Department of Computer Science and Engineering (Data Science) in VVIT was established in 2024 & it currently offers an undergraduate course in CSE(DATA SCIENCE) with an intake of 60 students.

The Department of Computer Science and Engineering (CSE) with a specialization in Data Science focuses on providing students with the theoretical foundations, technical skills, and practical experience necessary to analyze and extract meaningful insights from data. It integrates core principles of computer science with advanced concepts in data processing, machine learning, and artificial intelligence.

The faculty members of the department have extensive industry and teaching experience, hence enabling them to impart an amalgamated teaching technique that will prepare the students for the tough industry benchmarks. The department has a collection of reference books and software packages. The impact of our ideas and our students extend globally in meaningful and effective ways.

We have complete fledged labs according to the academic plans of VTU. The laboratories have modern computing facilities with the latest branded desktops, and three 100Mbps Internet lines which aid the students in research and referencing.

Key Highlights of the CSE in Data Science Department:

1.Core Areas of Study:

* Data Structures and Algorithms: Fundamental principles of computer science.

* Big Data Analytics: Techniques for handling and processing large-scale datasets.

* Machine Learning and Artificial Intelligence: Developing predictive and prescriptive models.

* Database Management Systems: Efficient data storage and retrieval techniques.

* Data Visualization: Representing data insights in an interpretable and meaningful way.

* Cloud Computing: Leveraging distributed systems for scalable data processing.

2.Skills Developed:

* Programming proficiency in languages like Python, R, Java, or Scala.

* Data preprocessing, cleaning, and transformation.

* Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).

* Statistical analysis and probability.

* Understanding of data governance, security, and ethical considerations in AI.

3.Practical Exposure:

* Hands-on projects in domains such as healthcare, finance, social media, and more.

* Opportunities to work with real-world datasets and live case studies.

* Internships and industry collaborations with tech companies and research labs.

4.Research Opportunities:

* Exploring cutting-edge topics like deep learning, natural language processing, and reinforcement learning.

* Collaborations with multidisciplinary teams to solve complex problems using data.

5.Career Prospects:

* Roles: Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Developer, Research Scientist.

* Industries: Healthcare, e-commerce, banking, transportation, entertainment, and more.

* The demand for data science professionals is projected to grow exponentially due to increasing data generation and reliance on analytics.

6.Facilities and Resources:

* State-of-the-art computer labs equipped with high-performance systems.

* Access to big data platforms, cloud services, and advanced software tools.

* Regular workshops, hackathons, and seminars to enhance learning.

From the HOD’s Desk

Welcome to the Department of Computer Science Engineering in Data Science.

In this era of rapid digital transformation, data has become the driving force behind innovation and decision-making. Our department is dedicated to nurturing the next generation of data scientists and engineers equipped to tackle the challenges of the data-driven world.

We offer a unique blend of theoretical knowledge, practical skills, and cutting-edge tools to prepare our students for a promising career in data science. Our curriculum is meticulously designed to address the dynamic needs of the industry, incorporating advanced concepts like artificial intelligence, machine learning, big data analytics, and cloud computing.

At our department, we believe in fostering a culture of innovation, collaboration, and continuous learning. Through hands-on projects, industry partnerships, and research opportunities, our students gain real-world exposure that empowers them to make meaningful contributions to society.

Our dedicated faculty members are not just educators but mentors who guide students to excel academically, professionally, and ethically. We are proud to see our graduates excelling in diverse industries, driving impactful change across domains such as healthcare, finance, technology, and beyond.

As the Head of the Department, I invite you to explore the exciting opportunities we offer and be part of a community committed to shaping the future of data science. Let’s work together to unlock the potential of data and create solutions that address some of the world’s most pressing challenges.

Warm regards,

Dr Raghu Kumar KS

Head of the Department

Computer Science and Engineering in Data Science

Vision of the Department

To emerge as a center of excellence in Computer Science and Engineering in Data Science, offering cutting-edge education and research opportunities, and addressing the technological needs of society through data-driven innovation and ethical practices.

Mission of the Department

1.To provide a comprehensive learning environment in Data Science, integrating modern engineering education with ethical values and societal relevance.

2.To enhance student growth and career opportunities through strong interactions with alumni, academia, and industry leaders, fostering industry readiness.

3.To nurture a research-driven culture that inspires innovation, creativity, and entrepreneurial ventures in Data Science and related fields.

4.To empower students with the knowledge and skills to design, develop, and deploy data-centric solutions addressing complex real-world challenges.

Courses Offered

B.E Computer Science & Engineering (Data Science)

Approved Intake – 60

Program Outcomes and Program Specific Outcomes

POs PSOs COs Computer Science & Engineering

Department Faculty

Dr.Raghu Kumar K S, M.Tech, PhD.

Professor & HOD

Machine Learning

List of Laboratories

B.E.

Name of Laboratory with Subject Code

Object Oriented Programming with JAVA Laboratory (PCC 21CSL35)/(BCS306A)
Data Structures Laboratory (IPCC 21CS32)/(PCCLBCSL305)
Analog and Digital Electronics(IPCC 21CS33)/Digital Design & Computer Organization(IPCCBCS302)
Design and Analysis of Algorithm Laboratory (IPCC 21CS42)
Microcontroller and Embedded Systems Laboratory (IPCC 21CS43)
Python Programming Laboratory(PCC 21CSL46)
Computer Network Laboratory (IPCC 21CS52)
DBMS Laboratory with mini project (PCC 21CSL55)
C# and Net Framework Laboratory(21CSL582)
Data Science and its Applications(IPCC 21AD62)
Machine Learning Laboratory (PCC 21AIL66)
Operating Systems(IPCCBCS303)

Workshop

Machine Learning and Its Imapct on Natural Language Processing and Information Retrieval

Date: 24-04-2018
Time: 10:30 AM to 12:00 PM

Keynote Speaker

Mr. Arjun Atreya V., Artificial Intelligence Specialist, AL Lab, Accenture Operations, Bengaluru.

Mr. Syam Kakumani, Founder of Peppy Learning Solutions, Bengaluru.

Mr. Prabhavathi M. Member(Research Staff), Central Research Laboratory, Bharath Electronics Limited, Bengaluru.

News & Events

One day workshop on ‘Internet of Things’ was organized by department of CSE in association with department of E&C on 4th April 2017
Sonia Alice George, student of Computer Science has secured 90% aggregate in VTU examinations.
Sushant Sharma, Shreyas G of VI Sem CSE and Sudhanshu Sharma, Yogesh Sharma of VIII Sem CSE has participated in “South Zone(Handball)” held at Vijaya Vittala Institute of Technology on March 2014-2015 and Secured Runner-ups in Hand Ball Torunament.
Sushant Sharma of VI Sem CSE and Sudhanshu Sharma, Yogesh Sharma, Kirthi H of VIII Sem CSE has participated in “South Zone(Basketball)” held at Nitte Meenakshi Institute of Technology, Bangalore.
Shashi Kumar of VI Sem CSE has participated in “National level Documentary Movie making Competation” held at Oxford college of Engineering, Bangalore & Secured 2nd prize.
Shashi Kumar of VI Sem CSE has participated in “Inter college level cultural Competition” held at CMRIT college fest, Secured 2nd prize in “Pakka Kannadiage Competition”.

Research Publications

In the last academic year alone, the students & staff of Department of Computer Science and Engineering have published several papers in various National & International Journals and Conferences.

Papers published by Faculty

Prof Mangala M Patil has presented a paper “Cloud Computing for Remote Users using RSA Algorithm” in International Conference Organized by VVIT.
Prof Prasad P S has presented a paper “Attribute based Encryption for Scalable and Secure Sharing of Personal Health Records in Cloud Computing” in International Conference.
Prof Gowthami B S has presented a paper “Self Certified Authenticated Key Generation & Agreement Protocol for VPNS based on Certificateless Cryptography” in International Conference.
Prof Mangala M Patil has attended the Symposium on “Women Empowerment” Organized at Visvesvaraya Technological University, Regional Office, Bangalore.
Prof Arati M C has attended the Symposium on “Women Empowerment” Organized at Visvesvaraya Technological University, Regional Office, Bangalore.

Papers published by Student

Suhas M has presented a paper entitled “Reducing the number of Base stations and Replacing them with SDN-controller in clouds” at the International Conference on Computer Science and Mechanical Engineering (ICCSME) held at Bengaluru on 11. September 2016.
Vidhya Shree has presented a paper entitled “Reducing the number of Base stations and Replacing them with SDN-controller in clouds” at the International Conference on Computer Science and Mechanical Engineering (ICCSME) held at Bengaluru on 11. September 2016.

List of the semester toppers

USN	NAME	SEM	PERCENTAGE	CLASS
1VJ13CS022	Rashmi M N	8th(pass out)	82.2	FCD
1VJ13CS024	S Vinutha	8th(pass out)	80	FCD
1VJ14CS040	Rashmi H R	7th sem	70	FCD
1VJ14CS002	Akash Gupta	7th sem	67	FC
1VJ14CS040	Rashmi H R	6th sem	77.4	FCD
1VJ14CS050	Tellur Neeharika	6th sem	72.4	FCD
1VJ15CS052	Sheethal C G	5th sem	76.6	FCD
1VJ15CS025	Lavanya N C	5th sem	74	FCD
1VJ15CS052	Sheethal C G	4th sem	75.25	FCD
1VJ15CS038	Priyanka H	4th sem	70.5	FCD
1VJ16CS027	Irum Hussain	3rd sem	74.3	FCD
1VJ16CS011	Arindam Paul	3rd sem	67.3	FC
1VJ16CS018	Chandresh K S	3rd sem	67.3	FC
1VJ16CS027	Irum Hussain	2nd sem	9.83	FCD
1VJ16CS039	Nishmitha G	2nd sem	8.33	FCD
1VJ17CS037	Umesh Rokaya	1st sem	8.58	FCD
1VJ17CS012	Ashwini G	1st sem	8.33	FCD
1VJ16CS027	Irum Hussain	1st sem	9.42	FCD
1VJ16CS009	Anshu Kumar	1st sem	7.92	FC

Miss Irum Hussain has scored 91 in Eng-Mathematics_ I, 94 in Programming in C and Data Structures and 93 in Electronics in I sem.
And also Miss Irum has secured a grade S+(10) in Eng-Mathematics _ II and Engineering Physics.

Department Toppers

NAME	SEMESTER	USN	PERCENTAGE	CLASS
Mtech
Praveen K S	III	1VJ14SCN01	94%	FCD
Patil Bhagyashree	I	1VJ15SCN01	65%	FCD
B.E
Sonia Alice George	VIII	1VJ12CS037	83%	FCD
Chandana N	VIII		82.4%	FCD
VidhyaLakshmi k S	VI	1VJ13CS034	73.4%	FCD
Rashmi M N	VI	1VJ13CS022	73%	FCD
Manisha J	IV		76%	FCD
Kriti Raushan	IV		67%	FCD
Sheetal	II	1VJ15CS052	8.5 CGPA	FCD
Nikhita Y	II	1VJ15CS063	8.17 CGPA	FCD

From the HOD’s Desk

Courses Offered

Program Outcomes and Program Specific Outcomes

Department Faculty

Dr.Raghu Kumar K S, M.Tech, PhD.

List of Laboratories

B.E.

Name of Laboratory with Subject Code

Machine Learning and Its Imapct on Natural Language Processing and Information Retrieval

Keynote Speaker

News & Events

Research Publications

Papers published by Faculty

Papers published by Student

List of the semester toppers

Department Toppers

For Admissions

Smt Rukmini T

Principal's Desk

Dr. Sanjeev Lingareddy

Training & Placement Officer

Mr. Indranil Roy

For General Information

Dr. Shiv Prakash T