Data Science is an interdisciplinary course which combines wide areas of statistics, analytics, visualization of data and Knowledge Extraction. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analysed and extracts useful knowledge for business development.
In our department, we not only give emphasis on study but also make students ready for industry with practical exposure in Data Science. The department has a team of highly experienced and motivated faculty members who are in process of tuning the young minds to make them globally competitive.
Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Those who practice data science are called data scientists, and they combine a range of skills to analyse data collected from the web, smart phones, customers, sensors, and other sources to derive actionable insights for business leaders.
Vision
To prepare the next generation practitioners and researcher for data centric world by bringing together interdisciplinary faculty across the globe.
Mission
M1: To provide Skill Based Education to master the students in Problem solving and analytical skills to enhance their niche expertise in the field Data Science
M2: To educate the students with latest technologies to update their knowledge in the field of Data Science
M3: To enable students to experience the Content Based Learning with premier quality data science education, research and industrial collaboration
M4: To enable students to become leaders in the Industry and Academia Nationally as well as Internationally
M5: To guide students in research on Data Science, with the aim of having an ethical impact on society by tackling societal grand challenges
HoD's Message
Dr syed Naimatullah Hussain
Head of the Department
Data Science is an interdisciplinary course which combines wide areas of statistics, analytics, data visualization and Knowledge Extraction. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently analysed and useful knowledge is extracted for intelligent business development. This Programme helps students to build mathematical and engineering skills required to advance their career as a Data Scientist or Data Analyst. We at NCET CSE (Data Science) not only give emphasis on study but also make students ready for industry with more practical exposure, Through innovative teaching-learning process, a teamwork approach and leadership building experience, our students gain vital communication and critical-thinking skills. We provide a platform for the students to enhance their Employability skills through Industry Institute Collaboration.”
Data Science will revolutionize every industry in the near future. India has the opportunity to be the talent provider to the world for data science. Spurring data science-based innovation and establishing, data science-ready infrastructure will be critical for preparing India’s jobs and skills markets for a datascience-based future. Keeping in mind the extraordinary importance of data science
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
- PEO1: Graduates in CSE (Data Science) can apply the technical knowledge of design and analysis for sustainable societal growth.
- PEO2: Graduates of CSE (Data Science) can demonstrate excellence in research and innovations for the industrial needs.
- PEO3: Graduates in CSE (Data Science) can demonstrate good communication skills, dynamic leadership qualities for environmental protection.
- PEO4: CSE (Data Science) graduates can be pursuing higher studies, taking research blended with ethics and human values.
- PEO5: CSE (Data Science) graduates will be entrepreneurs there by switching over from responsive engineering to creative engineering.
PROGRAM OUTCOMES (POs)
- PO-1: Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and electronics communication principles to the solution of complex problems in CSE (Data Science).
- PO-2: Problem Analysis – Identify, formulate, research literature, and analyze complex electronics communication and engineering problems reaching substantiated conclusions using first principles of mathematics and engineering sciences.
- PO-3: Design/Development of Solutions – Design solutions for complex CSE (Data Science) and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- PO-4: Conduct Investigations of Complex problems – Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions related to CSE (Data Science) problems.
- PO-5: Modern Tool Usage – Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex CSE (Data Science) activities with an understanding of the limitations.
- PO-6: The Engineer and Society – Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professionalCSE (Data Science) practice.
- PO-7: Environment and Sustainability – Understand the impact of the professional CSE (Data Science) in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- PO-8: Ethics – Apply ethical principles and commit to professional ethics and responsibilities and norms of the CSE (Data Science) practice.
- PO-9: Individual and Team work – Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO-10: Communication – Communicate effectively on complex CSE (Data Science) activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO-11: Project management and finance – Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage CSE (Data Science) projects and in multidisciplinary environments
- PO-12: Life Long Learning – Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM SPECIFIC OUTCOME (PSOs)
- PSO-1: Professional Skills – The ability to understand, analyze and develop computer programs in the areas related to system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexity.
- PSO-2: Problem Solving Skills – The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
- PSO-3: Mathematical concepts – Ability to apply mathematical concepts to solve real world problems using appropriate data structure and suitable algorithms.
Course Name: | B.E in Computer Science Engineering (Data Science) ( 4 Years ) |
Intake: | 60 |
Accreditation Status: | Accredited AICTE |
Professional Society Memberships : | IEEE |
Professional Activities : | Student chapter Seminars, workshops and FDPs are conducted regularly |
Consultancy Activities : | – |
Sl. No | Name of the Staff | Designation | Qualification |
1 | Professor & Head | B.E, M. Tech, Ph.D | |
2 | Professor | B.E, M. Tech, Ph.D | |
3 | Assistant Professor | B.E, M. Tech, (Ph.D) | |
4 | Assistant Professor | B.E, M.E, (Ph.D) | |
5 | Assistant Professor | B. Tech, M. Tech, (Ph.D) | |
6 | Assistant Professor | B.E, M. Tech, (Ph.D) | |
7 | Assistant Professor | B.E, M. Tech | |
8 | Assistant Professor | B.E, M. Tech | |
9 | Assistant Professor | B.E, M. Tech |
Sl. No | Name | Affiliation | Designation in the Board |
1. | Dr. Shiva Murthy G | Associate Professor, Dept. of CSE, VTU Centre for PG Studies, Bangalore | VTU Nominee |
2. | Mr. Anish Ravishankar | Senior Data Scientist, KAPLAN, Bangalore | Member (Industry Expert) |
3. | Mr. Rafeeq Alas | Tech. Lead Data Science and MLOPs Wipro India | Member (Industry Expert) |
4. | Dr. Syed NaimatullahHussain | Professor & Head, CSE (DS), NCET | BoS Chairman (CSE (DS)) |
5. | Dr. Parutagouda S Khanagoudar | Professor, Dept. of CSE (DS), NCET | Member |
6. | Mr. Subhakar M | Senior Assistant Professor, Dept. of CSE (DS), NCET | Member |
7. | Mr. R Radhakrishnan | Assistant Professor, Dept. of CSE (DS), NCET | Member |
8. | Mr. Lakshmaiah L | Assistant Professor, Dept. of CSE (DS), NCET | Member |
Facilities
The Department is well equipped with the latest computers with modern multimedia features and licensed software. The institution has always kept its target of providing Student-to-computer ratio of 1:1 during their laboratory exercises.
- Computer Labs have been loaded with Microsoft Windows 10 and Ubuntu Operating System.
- All the labs are connected with 100MBPS high-speed internet service.
- The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the Core Courses.
- This lab helps placement cell to conduct online test and Placement training for students during placement drive.
Sl. No. |
Name of the Laboratory | No. of students per setup (Batch Size) | Name of the Important equipment |
Weekly utilization status (all the courses for which the lab is utilized) | Technical Manpower support | ||
Name of the technical staff | Designation | Qualification | |||||
1 | LAB-3 | 60 | ü Lenovo – I3 processor 3.30 GHz ,4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse ü Projector ü Software Package – Fedora, Virtual Machine, Python, Java | 30 Hours | Mr. Nabisaheb Arif Gulbarga | Lab Instructor | Diploma in CSE |
2 | LAB-4 | 60 | ü Lenovo – I3 processor 3.30 GHz ,4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse ü Projector ü Software Package – Auto Cade, MS-Project, Code Block, Node JS | 30 Hours | Mr. Ram Murthy | Lab Instructor | ITI |
3 | LAB-5 | 60 | ü Lenovo & Acer – I3 processor 3.30 GHz ,4GB RAM, 500GB HDD, 19” Monitor, USB keyboard and mouse ü Projector ü Software Package – Windows, Virtual Machine, Ansys Lab, Java, Solid Edge, Oracle, Fedora, C++ | 30 Hours | Mrs. Soumya | Lab Instructor | B.Tech in CSE |
4 | PROJECT LAB | 15 | ü Acer, Intel core I5, 8GB RAM, 1TB HDD ü Projector ü Software Package – Windows, Android, C++, Java, Mat Lab, Lab View, VMware. | 18 Hours | Mrs. Sunitha | Lab Instructor | B.Tech in CSE |
Patent Details
- Automatic Recommendation System to Overcome Depression Measured from Social Media Posts using Machine Learning, Application No: 202341002473, Patent filed on 12-01-2023 and Published on 03-02-2023, Dr. Syed Naimatullah Hussain, Mr. Subhakar M, Ms. Pooja Ahuja S, Mr. R Radhakrishnan, Ms. Chandini A, Ms. Priyanka S and Mr. Anil Pawar.
- Intellectual Property India Design patent published with Application No: 352805-001on 10-04-2023. “AN INTELLIGENT ANTITHEFT DEVICE FOR ELECTRICAL VEHICLE” Dr. Syed Naimatullah Hussain.
- Intellectual Property India patent published with application no 202341031767 on 16-06-2023. “A Categorization of Infectious Plant Pathogens Severity Level with Supervised Learning Techniques”. Dr. Syed Naimatullah Hussain and Mr. Subhakar M.
- Iot Based Smart Waste Management System For Building Smart Cities Applications Application No: 202341032270 A published on 18-08-2023. Dr. Syed Naimatullah Hussain.
- Intellectual Property India patent published with application no 202341060860 on 06-10-2023. “AI-Enhanced Text Categorization and Routing System”. Mrs. Geetha M.
- Detection Of Visual Faults In Wireless Mesh Networks Through Cnn Approach Application No: 202341062372 A, published on 06-10-2023. Dr. Parutagouda S K.
- Intellectual Property India patent published with application no 202341060154 on 06-10-2023. “IOT Based Soil Moisture Monitoring and Intelligent Irrigation System”. Mr. Lakshmaiah L.
- Intellectual Property India patent published with application no 202341062869 on 06-10-2023. “AI Based Irrigation System using IOT”. Ms. Pooja Ahuja S and Mrs. Sushma B S.
- IOT- BASED HEALTHCARE MONITORING AND REMOTE PATIENT CAR Application No.202341080087 A published on 22-12-2023. Mr. R Radhakrishnan.
- A SMART PAIL TO MAINTAIN THE WATER TEMPERATURE Application No.202341076508 A published on 22-12-2023. Mr. R Radhakrishnan.
- Intellectual Property India patent published with application no 202341085986 on 12-01-2024. “Innovative IOT-Powered Farming Solution for Enhanced Crop Management”. Mrs. Sushma B S.
Paper Published
- Mr. Subhakar M, “Design And Development of Iot Based Water And Calamity Management Technique by Implementing A Hybrid Classification Approach” in International Journal, AES Volume 54, Issue 02, ISSN: 2096-3246, December, 2022.
- Dr. Syed Naimatullah Hussain & Mr. Anil Pawar, “Identifying Fake Products Using Hyper ledger Fabric Blockchain” in International Journal, Journal of Data Acquisition and Processing Vol. 38 (1) 2023.
- Dr. Syed Naimatullah Hussain, “An Effective Time Series Analysis For Stock Market Prediction Using Machine Learning Techniques” in International Journal, Scandinavian Journal of Information System, 2023 35(1).
- Dr. Syed Naimatullah Hussain, “Scalable Healthcare Management System using IOT” in International Journal, Computer Integrated Manufacturing System Journal, Volume.28 No.12.