The Department of Computer Science Engineering (Data Science) at KCES COEM aims to one of the leading programs to provide value-added quality education in Computer Science and Engineering with specialization in Data Science. Data science is associated to computer science engineering, but is a separate field. Computer science involves creating programs and algorithms to record and process data, while data science covers any type of data analysis, which may or may not use computers. Data science is directly related to the mathematics field of Statistics, which includes the collection, organization, analysis, and presentation of data.
Techniques Used:
Mathematical Expertise:
Data scientists require a Substantial potential of mathematical knowledge since they themselves are based on mathematical algorithms.
Working with Unstructured data:
Most of the data produced every day, in the form of comments, images, search history etc. is unstructured, it is a very useful skill in today’s market to know how to convert this unstructured into a structured form and then working with them
1. Qualified and Experienced team of faculty members with wider experience in areas of System Software, DBMS, Data Mining, Mobile and Computer Networks, Image Processing, Computer Architecture and Artificial Intelligence .
2. Syllabus is designed to match with industry needs. IoT, Machine learning, Data Analytics, Cloud technologies and other latest technologies have been included in the curriculum in line with industry expectations.
3. Motivation to students with immense expertise, massive technical exposure & structured creative initiatives.
4. Industrial visits to various renowned companies to pave way for the students to get exposed to varied atmosphere.
5. More credits have been given for project work in the curriculum to make the students employable.
The curricula of programmes have been designed to cater to the ever changing needs and demands of IT industry. The focus is on holistic learning and empowering students to make significant contributions at all levels. The cafeteria system of electives gives a handful of choices for the students to develop expertise in their area of interest.
UG | Computer Science & Engineering (Data Science) | 60 Seats. |