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 Data Science & Engineering can apply the technical knowledge of design and analysis for sustainable societal growth.
- PEO2: Graduates of Data Science & Engineering can demonstrate excellence in research and innovations for the industrial needs.
- PEO3: Graduates in Data Science & Engineering can demonstrate good communication skills, dynamic leadership qualities for environmental protection.
- PEO4: Data Science & Engineering graduates can be pursuing higher studies, taking research blended with ethics and human values.
- PEO5: Data Science & Engineering 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 Data Science & Engineering.
- 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 Electronics Communication and Engineering problems 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 Electronics Communication and Engineering 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 Electronics Communication and Engineering 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 professional Electronics Communication and Engineering practice.
- PO-7: Environment and Sustainability – Understand the impact of the professional Data Science & Engineering solutions 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 Data Science & Engineering 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 Electronics Communication Engineering 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 Data Science & Engineering 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 | Faculty Name | Designation | Qualification | Department |
1 | Dr. Syed Naimatullah Hussain | Professor & Head | M.Tech, Ph.D | CSE (Data Science) |
2 | Mr. Subhakar M | Assistant Professor | M.Tech (Ph.D) | CSE (Data Science) |
3 | Mr. Lakshmaiah L | Assistant Professor | M.Tech (Ph.D) | CSE (Data Science) |
4 | Mrs. Mahadevi S | Assistant Professor | M.Tech (Ph.D) | CSE (Data Science) |
5 | Mrs. Geetha M | Assistant Professor | M.Tech | CSE (Data Science) |
6 | Ms. Pooja Ahuja S | Assistant Professor | M.Tech | CSE (Data Science) |
7 | Mrs. Sushma B S | Assistant Professor | M.Tech | CSE (Data Science) |
Sl. No | Members | Designation | Designation on Board |
1 | Dr. Syed Naimatullah Hussain | Professor & Head, CSE (DS), NCET | Chairman CSE (DS) |
2 | Dr. Nalini N | Professor & Dean Students Welfare NMIT, Bengaluru | VTU Nominee |
3 | Dr. Shridhar Domanal | Cloud Architecture, Accenture Bengaluru | Member (Industry Expert) |
4 | Mr. Subhakar M | Senior Assistant Professor, Dept. of CSE (DS), NCET | Member |
5 | Ms. PoojaAhuja S | Assistant Professor, CSE (DS), NCET | Member |
6 | Mrs. Mahadevi S | Assistant Professor, CSE (DS), NCET | Member |
7 | Mrs. Geetha M | Assistant Professor, 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.
Patent Details
- Intellectual Property India Published Application number: 202241038492, July 2022, “SECURE OVER DATA PRIVACY USING KNN CLASSIFICATION IN IOT DEVICES IN MACHINE LEARNING APPROACH” Inventors Names: Mr. Subhakar M
- Intellectual Property India Published Application number: 202241035410, June 2022, “CLINICAL INVESTIGATION OF SENSING AILMENTS IN BRAIN MOVEMENT THROUGH PHYSIOLOGICAL ACTIVITY USING ML TECHNIQUE” Inventors Names: Mr. Subhakar M
- Intellectual Property India Published Application number: 202211034122, June 2022, “INSTANCE BASED TRANSFER LEARNING SYSTEM FOR MULTI VISUAL AND LANGUAGE CATEGORIZATION” Inventors Names: Mr. Subhakar M
- Intellectual Property India Published Application number: 202341002473, February 2023, “AUTOMATIC RECOMMENDATION SYSTEM TO OVERCOME DEPRESSION MEASURED FROM SOCIAL MEDIA POSTS USING MACHINE LEARNING” Inventors Names: Dr. Syed Naimatullah Hussain, Mr. Subhakar M, Ms. Pooja Ahuja S, Mr. R Radhakrishnan, Ms. Chandini A, Ms. Priyanka S, Mr. Anil Pawar
- Intellectual Property India Published Application number: 202241007198, February 2022, “AI, MI BASED TRAFFIC INFORMATION DETECTION AND REAL TIME POTHOLE DETECTION SYSTEM” Inventors Names: Dr. Syed Naimatullah Hussain
- Intellectual Property India Published Application number: 202221004456 A, February 2022, “ARTIFICIAL INTELLIGENCE BASED DESIGNING OF WIRELESS NETWORK BASED ON OPTIMIZATION ALGORITHM” Inventors Names: Dr. Syed Naimatullah Hussain