BCA in Data Science
Computer Science & Information Technology
The Bachelor of Computer Applications (Data Sciences) is an innovative undergraduate degree program that focuses on preparing students to become skilled data scientists capable of extracting valuable insights and knowledge from large and complex datasets. This program blends computer science, statistics, and domain-specific knowledge to enable students to effectively analyze, interpret, and visualize data to support data-driven decision-making.
Successful completion of the program shall award the degree titled - Bachelor of Computer Applications (Data Sciences). The Visvesvaraya Technological University is UGC and NAAC accredited to offer the online Data Sciences Degree program. The degree holds the same merit as a regular one. It’s universally accepted and validated for further education and job prospects.
Candidate should have passed in 10 + 2 / Diploma of any stream / Any Equivalent Certificate to PUC
High Demand for Data Scientists:
Data science is a rapidly growing field with a high demand for skilled professionals who can analyze data and derive valuable insights.
Data science skills are applicable across various industries and domains, including finance, healthcare, e-commerce, marketing, and more.
Data-Driven Decision Making:
You'll be equipped with the skills to make data-driven decisions, helping organizations improve efficiency, identify trends, and make informed choices.
Completing a BCA in Data Sciences can give you a competitive edge in the job market, as data scientists are in high demand and the field is highly competitive.
Continuous Learning and Innovation:
Data science is a dynamic field with constant advancements in methodologies and technologies. Pursuing a BCA in Data Sciences can lead to continuous learning and opportunities for innovation.
Data scientists often receive competitive salaries due to their specialized skills and ability to provide valuable insights to businesses.
Contribution to Research and Society:
Data science plays a significant role in research and decision-making that can have a positive impact on society, making it a fulfilling career choice.
LEARNINGS IN BCA IN DATA SCIENCES
You will learn programming languages commonly used in data science, such as Python and R, to manipulate, analyze, and visualize data.
Data Manipulation and Analysis:
You'll learn how to clean, preprocess, and transform raw data into a usable format for analysis. Techniques for data exploration and descriptive statistics may also be covered.
Understanding statistical methods is fundamental in data science. You may study topics like probability, hypothesis testing, regression analysis, and other statistical techniques used for data analysis.
You'll likely delve into machine learning algorithms and models for predictive analysis, classification, clustering, and other tasks related to pattern recognition and data-driven decision-making.
Big Data Technologies:
Some programs might introduce you to big data technologies like Hadoop and Spark, which are used for handling and processing large-scale datasets.
You'll learn data visualization techniques to effectively present and communicate insights and findings to stakeholders using tools like Tableau or matplotlib.
Database Management Systems:
Understanding database concepts and working with relational database management systems (RDBMS) like MySQL or PostgreSQL is essential for storing and retrieving data.
Data Ethics and Privacy
You'll be introduced to the ethical considerations surrounding data science, including privacy, security, and responsible data usage.
Many programs incorporate hands-on projects where you'll work with real datasets and solve practical problems to gain practical experience in data science.
- Self Assessment
- Study Guide
- Discussion Forum
- Interactive Videos
- Web Resources
1st Year (Semester 01)
- Foundation Mathematics - I
- Fundamentals of Computers
- Programming in C
- Introduction to Operating System
- Programming in C Lab
- IT Lab
1st Year (Semester 02)
- Data Structures using C++
- Foundation Mathematics - II
- Communication English
- Database Management System
- Database Management System Lab
- Data Structure Lab
2nd Year (Semester 03)
- Unix Programming
- Object Oriented Programming Using Java
- Analysis & Design of Algorithm
- Computer Networks
- Python Lab
- Java Lab
2nd Year (Semester 04)
- Web Programming
- Data Analytics Using Python
- Software Engineering
- Introduction to Artificial Intelligence
- Web Lab
- Data Analytics Lab
3rd Year (Semester 05)
- Computer System & Network Security
- Net Programming Using C#
- Machine Learning
- Introduction to Data Mining
- .Net Lab
- Mini Project
3rd Year (Semester 06)
- Big Data
- Internship and Seminar
- Project Work