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BCA Data Science

Market Size by 2030

USD 332.6 Billion

Future jobs by 2035

INR 11.5 Million

Market Size in 2040

USD 95.3 Billion in

ICRI Campus


BCA in Data Science - Course Description

01.

BCA Data Science is a four-year undergraduate course emphasizing the application of various scientific methodologies and techniques to extract handy data from large amounts of available data.

02.

ICRI's BCA in Data Science specializes in Data Science and is based on Computer Science and Engineering. It is a one-of-a-kind multidisciplinary curriculum developed for students aspiring to be 'Data Scientists'.

03.

The curriculum design and organization are informed by contemporary research on the relationship between Data Science and other areas and the need for skills to fulfill the demands of the future data-driven economy.

04.

The curriculum focuses on using scientific methods to derive relevant insights from massive datasets. This curriculum focuses on Machine Learning, Data Visualization, Programming, Statistics, and Big Data.

05.

ICRI offers a unique curriculum that combines computer science and engineering to concentrate on Data Science. The candidate will receive the most recent experience in generating code for data science solutions and R as a programming language.

06.

WHAT IS METAVERSE?

  • Step into the Metaverse, a virtual environment where you can connect with people and interact with digital items exactly as in real life.
  • The metaverse isn't only for games; data scientists can use it to analyse and examine complicated data sets in novel ways. With the data analytics industry expected to grow to $132.9 billion by 2022, the metaverse will play a significant role in defining how we understand and analyse data.
  • By 2024, the metaverse employment market is expected to grow $800 billion, with 10,000 new occupations added over the following five years. This demonstrates the immense potential for job possibilities in the metaverse business, which continues to expand and adapt.
07.

PROGRAM OBJECTIVES:

  • Create, Construct, and Maintain Machine Learning and other Data Models.
  • Select, Utilize, and Debug Existing Data Models.
  • Conduct Statistics and Data Analysis, Usually to Make Judgments Regarding Items or Expected Audiences.
  • Conduct Research to Learn More about the Topic and Increase Model Accuracy, Including Meeting and Interviewing Experts.
  • Work in Teams to Analyze Project Needs and Complete Tasks.
  • Data Visualization with Jupyter Notebooks and Python & Database Administration and Quality Monitoring.
  • Data Infrastructure Systems include all the Tools and Software Required to Gather, Store, and Analyze Datasets.
  • Communication With Various Teams (Marketing, Technical, Etc.).

Industry

Big data operations, including data scientists, analytics, big data engineers, data managers, and data architects, have great possibilities. Data science-related job duties are now among the most sought-after tech occupations in the world, as well as the third-highest compensation.
According to industry forecasts, 11 million new data science jobs are expected to be generated by 2026.

Fun fact: Amazon receives 18-20 job applications every minute, whereas Google receives 3.0 million job applications annually. To be job-ready, one must have certification and show learning skills.

There are plenty of opportunities for data science applications in India, especially in 2023 and beyond. This covers banking, cyber security, financial institutions, education and healthcare, big data companies, and even small enterprises.

There is enormous potential for data science applications in India, with the data science industry predicted to reach 16 billion dollars by 2025, and the data science jobs.

The average starting salary for data scientists as a fresher is between INR 7.0 and INR 8 Lacs per year, and some of the top industries include BFSI, Retail, Technology, and Healthcare, with firms like IBM, Amazon, Google, and Netflix hiring data scientists.

Curriculam

SEMESTER I

  • Principal of Electrical and Electronics Technology
  • Computer
  • Engineering Physics
  • Math I
  • Programming for Problem Solving
  • Introduction to Artificial Intelligence and Machine learning
  • Soft Skill I

SEMESTER II

  • Application-Based Programming In Python
  • Mechanical Workshop
  • Engineering Chemistry
  • Advanced Physics
  • Math II
  • Soft Skill II
  • Multimedia Application Lab

SEMESTER III

  • Building Essential Language
  • OOPS Using JAVA
  • Data Structures Using C
  • Computer Organization and Architecture
  • Discrete Structures

SEMESTER IV

  • Communication to Conquer
  • Data Acquisition
  • Advance JAVA Lab
  • Environmental Science
  • Database Management System

SEMESTER IV

  • Introduction to Biology for Engineers
  • Applied Statistical Analysis
  • Industrial Internship
  • Project-Based Learning I

SEMESTER IV

  • Computer Networks
  • Principles of Operating System
  • Project Based Learning
  • Management Course

SEMESTER IV

  • Data Warehouse
  • Software Engineering and Testing Methodologies
  • Theory of Computation
  • Design and Analysis of the Algorithm
  • Project-Based Learning III
  • Programme Elective I
  • Industrial Internship II
  • Open Elective
  • Technical Skill Enhancement Course I

What Will You Become after Pursuing a BCA in Data Science?

Big Companies:

Large organisations and small businesses require people who can gather, store, secure, and properly handle corporate data.

Data Analyst:

As a data analyst, you gather, process, and analyze huge datasets to gain insights and guide business choices.

Data Scientist:

As a data scientist, you'll create prediction models, and algorithms, and analyze data using advanced statistical approaches to get insights.

Business Analyst:

Business Analysts discover issues, define needs, and use data to offer suggestions for improving business performance.

Database Administrator:

As a database administrator, you are responsible for administering and maintaining databases, guaranteeing data security, and maximizing performance.

Data Engineer:

Data engineers are in charge of developing and implementing data pipelines and infrastructure to facilitate data analysis. These individuals also create and manage pipelines, create data warehouses, and design storage solutions.

Machine Learning Engineers:

These individuals team up with data scientists to develop models that automate decision-making processes.

In Which Industries You Will Work?

Technology

Many technology businesses, both startups and huge organizations, recruit data scientists for a variety of positions such as data analyst, data engineer, machine learning engineer, and so on.

Finance

Banks, insurance corporations, and investment organizations employ data science to assess risk, devise investment strategies, and establish fraud detection programs.

E-Commerce

Retail and e-commerce enterprises employ data science to forecast customer behavior, optimize pricing, and enhance customer experience.

Marketing

Marketing organizations and agencies use data science to monitor client behavior, target adverts, and personalize content.

Automotive Industry

Data analytics may help auto firms examine client behavior and anticipate future purchases. Big data may also help automakers leverage insights like prior vehicle sales, online behavior, and demographics to develop targeted marketing communications.

Why ICRI Why ICRI?
  • India’s First & Largest Institute for New Era Vocations.

  • Real-time Exposure to Data Visualization & Statistics from Prominent Industry Organizations.

  • Get Hired by Top IT Firms for a Starting Salary of INR 7.0 Lakhs - INR 8.0 Lakhs.

  • More than 19000 Graduates Work all Around the World.

  • Experience Building Code for Data Science Solutions Using Major Software Languages like R, Python and Tableau.

  • UGC-Recognized Degrees from India’s Premiere Universities.

  • After Successfully Completing the Course, ICRI Students will Obtain a Certificate in BCA in Data Science from the Prestigious IIT Jodhpur.

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