ICRI Campus
BTech in Data Science - Course Description
BTech in Data Science is a four-year undergraduate degree that employs scientific methods to extract relevant data from large datasets.
ICRI's BTech in Data Science, combining Computer Science and Engineering. It is a one-of-a-kind multidisciplinary curriculum developed for students aspiring to be 'Data Scientists'.
The curriculum design and organization are based on contemporary research on the relationship between Data Science and other areas and the demand for skills in the future data-driven economy.
Graduates of the B.Tech degree in Computer Science and Engineering will be ideally positioned to pursue a career in industry, academia, or research in Data Science, a fast-developing and widespread discipline.
The program of study focuses on working with scientific methods to generate useful information from massive data sets. The program focuses on Machine Learning, Data Visualization, Programming, Statistics, and Big Data.
ICRI offers an original program that combines computer science and engineering to concentrate on Data Science. The candidate will receive the most contemporary exposure to generating code for data science solutions and R as a programming language.
What is Metaverse?
- Step into the Metaverse, a virtual environment where an individual can connect with people and interact with digital items precisely as in real life.
- The metaverse is not only for games; data scientists can use it to analyze 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 significantly define how we comprehend and analyze data.
- By 2024, the metaverse employment market will be worth $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.
Program Objective
- Develop, Design, and Manage Machine Learning and other Data Models.
- Select, Use, and Debug Existing Data Models.
- Perform Statistical and Data Studies Frequently used to Develop Product or Audience Projections.
- Research to learn more about the topic and enhance model accuracy, which may include meeting with and interviewing experts.
- Work in Teams to Analyze Project Needs and Complete Tasks.
- Data Visualization, such as using Jupyter Notebooks or Python.
- Database Administration and Data Quality Monitoring.
- Data infrastructure systems include all the tools and software required to gather, store, and analyze datasets. Web development involves communication with several departments, including marketing and technical.
Industry
Extensive data operations have enormous potential, including data scientists, analytics, prominent data engineers, prominent data managers, and data architects. 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 will be generated by 2026.
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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 shown learning skills.
There is plenty of opportunity in India for data science applications, 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 fresher data scientists 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 You Will Become ?
Big Companies
Large organizations 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 recommendations for improved performance.
Data Engineer
As a Data Engineer, you'll build and manage pipelines, create data warehouses, and design storage solutions.
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 responsible for developing and implementing data pipelines and infrastructure to facilitate data analysis.
Machine Learning Engineer
Machine Learning Engineers collaborate with data scientists to develop models that automate decision-making processes.
Where Will You Work?
Technology
Many technology businesses, both startups and enormous organizations, recruit data scientists for various positions such as data analyst, data engineer, machine learning engineer, etc.
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 behaviour, optimize pricing, and enhance customer experience.
Marketing
Marketing organizations and agencies use data science to monitor client behaviour, target adverts, and personalize content.
Automotive Industry
Car businesses may use data analytics to examine their existing consumers and uncover traits that indicate a purchase decision. Big data may also assist automotive firms in using information like prior vehicle purchases, internet activity, and demographics to generate targeted marketing messages and provide relevant content.
