BCA in Data Science at Nirwan University - Course, Fees, Admission, Seats, Syllabus

As of my update in April 2023 I don't have access to real time databases or the specific course syllabi of universities including Nirwan University. Universities often revise their course offerings and syllabi to stay up to date with the advancements in their respective fields. Therefore the details of a Bachelor of Computer Applications (BCA) program in Data Science can vary significantly from one institution to another. Nevertheless I can provide you with an overview of what a typical BCA program, in Data Science might cover. This overview is based on subjects and skills taught in similar programs offered by various universities.To access the accurate and up to date syllabus kindly refer to Nirwan Universitys official website or directly get in touch with their admissions or academic office. Below is an outline for a BCA program in Data Science; Year 1; Introduction to Programming; This course covers the fundamentals of programming languages like Python or Java. Mathematics for Computer Science; You will learn about mathematics, calculus and statistics. Introduction to Data Science; Gain an understanding of what data science is its significance and its practical applications. Computer Fundamentals and Office Automation; Get familiar, with the basics of computer hardware, software and productivity software suites. Database Management Systems; This course introduces you to databases, SQL and how data is organized. Communication Skills; Enhance your written and verbal communication abilities through this module. Year 2; In the field of data science it is essential to have an understanding of various subjects. These include data structures and algorithms advanced programming concepts (such as Python or R) machine learning basics, probability and statistics knowledge of operating systems principles and their impact on data science work well as an introduction to web development for effective data visualization and dashboard creation. Moving into the year of studies students delve deeper into big data analytics techniques and tools for analyzing large datasets. They also get introduced to learning and neural networks. Additionally they learn techniques for presenting data effectively using tools, in the field of data visualization. Students are also exposed to project management basics and gain an understanding of the aspects related to tech projects. Finally they undertake a capstone project where they apply their knowledge to solve real world problems or research questions. Elective courses may cover a range of topics that allow students to explore specific areas within the field.