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INFORMATION TECHNOLOGY
B.Sc. in Data Science
DATA ANALYST
B.Sc. in Data Science
Sector: Information Technology
Gurukul National Institute and Management (GNIM)
Introduction
The B.Sc. in Data Science is a comprehensive undergraduate program designed for students who wish to build a career in data analysis, data science, business intelligence, and related areas of the Information Technology sector. The course develops knowledge of data handling, statistical analysis, programming, databases, data visualization, and modern data-driven technologies.
Through a combination of theoretical learning and practical training, students can develop the technical and analytical skills required for entry-level and advanced career opportunities in data-oriented roles.
Gurukul National Institute and Management aims to provide eligible candidates with access to career-oriented education along with financial and residential support as specified for the program.
What is the Course?
The B.Sc. in Data Science is a bachelor's degree program focused on collecting, processing, analyzing, interpreting, and presenting data to support informed decision-making.
Students learn how raw information can be transformed into meaningful insights using statistical methods, programming languages, databases, visualization tools, and data science techniques.
The program is particularly suitable for candidates who are interested in Information Technology, mathematics, statistics, programming, business analytics, and emerging data-driven careers.
Definition and Purpose
Data Science is an interdisciplinary field that combines mathematics, statistics, programming, database technology, and analytical techniques to extract useful information from structured and unstructured data.
The purpose of the B.Sc. in Data Science program is to help students develop the academic foundation and practical skills necessary to work with data throughout its lifecycle.
The course focuses on developing the ability to collect and organize data, identify patterns, perform statistical analysis, create meaningful visualizations, and communicate analytical findings effectively.
Course Curriculum
The curriculum generally covers the fundamental concepts of computer science, mathematics, statistics, programming, databases, data analytics, and data science.
The program may include theoretical classes, laboratory sessions, practical assignments, projects, data analysis exercises, and industry-oriented learning activities.
The curriculum is designed to progressively develop students from basic computing and statistical concepts to advanced data analysis and data science applications.
Subjects Covered
Major areas of study may include:
Programming Fundamentals
Python Programming
Data Structures and Algorithms
Database Management Systems
SQL and Database Programming
Mathematics for Data Science
Probability and Statistics
Statistical Computing
Data Analysis
Data Visualization
Business Intelligence
Machine Learning Fundamentals
Artificial Intelligence Fundamentals
Big Data Concepts
Data Mining
Predictive Analytics
Cloud Computing Fundamentals
Computer Networks
Operating Systems
Web Technologies
Research Methodology
Data Science Laboratory
Project Work and Industry-Oriented Training
The exact subjects and semester-wise structure may vary according to the applicable university or academic curriculum.
Practical Training
Practical training is an important component of Data Science education. Students can work with datasets and learn how to clean, organize, analyze, visualize, and interpret information.
Practical activities may include Python programming, SQL database operations, statistical analysis, dashboard creation, data visualization, exploratory data analysis, and introductory machine learning exercises.
Project-based learning can also help students understand how data science techniques are applied to real-world business and organizational problems.
Eligibility Criteria
Eligibility requirements may vary according to the applicable university, regulatory requirements, and admission rules for the particular academic session.
Candidates should carefully verify the applicable eligibility requirements before submitting their application.
Who Can Enroll?
The program can be suitable for students who:
Have an interest in Information Technology and computers
Want to develop programming and analytical skills
Are interested in mathematics, statistics, and data
Want to pursue a career involving data analysis and technology
Wish to build an academic foundation for further studies in Data Science, Analytics, Artificial Intelligence, or related fields
Age Limit
The applicable age limit, if any, will be determined according to the admission rules and eligibility conditions of the relevant academic program.
Candidates are advised to verify the current admission notification before applying.
Educational Qualifications
Candidates should have the educational qualifications prescribed by the applicable university or academic authority for admission to the B.Sc. in Data Science program.
The specific subject requirements, including requirements relating to Mathematics, Computer Science, or other subjects, may vary according to the applicable admission rules.
Benefits of the Data Science Course
One of the major advantages of this program is its career-oriented focus on one of the most important areas of modern Information Technology.
Subject to the applicable program terms and eligibility conditions, GNIM provides the following benefits to selected candidates:
Completely Free Course
The course is offered completely free of charge to eligible selected candidates under the applicable GNIM program provisions.
Free Hostel Accommodation
Eligible candidates can receive free hostel accommodation during the course, subject to the applicable hostel rules, availability, and program conditions.
Monthly Stipend of Rs. 10,000
A monthly stipend of Rs. 10,000 is provided during the course according to the applicable program terms and conditions.
Annual Scholarship of Rs. 40,000
An annual scholarship of Rs. 40,000 is provided for each year of the program, subject to the applicable scholarship rules and eligibility conditions.
Employment Opportunity
After successful completion of the course, eligible candidates may receive employment opportunities through GNIM's placement and industry-linkage initiatives. Employment is subject to applicable eligibility requirements, employer selection procedures, vacancies, and successful completion of the relevant selection process.
Career Opportunities
Graduates with appropriate technical skills and experience can explore career opportunities in areas such as:
Data Analyst
Junior Data Analyst
Business Data Analyst
Data Associate
Data Operations Associate
Reporting Analyst
Business Intelligence Associate
Data Visualization Associate
Database Analyst
Research Analyst
Data Quality Analyst
MIS Analyst
Junior Data Scientist
Analytics Executive
Data Science Associate
Career progression may depend on an individual's skills, academic performance, experience, certifications, specialization, and employer requirements.
Skill Development
The B.Sc. in Data Science program can help students develop skills in:
Data Collection and Organization
Data Cleaning
Data Analysis
Statistical Analysis
Python Programming
SQL
Database Management
Data Visualization
Business Intelligence
Machine Learning Fundamentals
Problem Solving
Logical and Analytical Thinking
Report Preparation
Data Interpretation
Presentation and Communication
Project Management
These skills can provide a foundation for pursuing further specialization and professional development in the Information Technology and analytics sectors.
Why Choose GNIM for this Course?
Gurukul National Institute and Management focuses on providing career-oriented educational opportunities to eligible candidates.
The key program benefits include free course provisions, free hostel accommodation, a monthly stipend of Rs. 10,000, an annual scholarship of Rs. 40,000 for each program year, practical-oriented learning, and employment opportunities after successful course completion, subject to the applicable terms and selection requirements.
GNIM also focuses on connecting eligible candidates with employment opportunities through relationships with organizations and employers relevant to the candidate's area of training.
Placement Confirmation
It is worth noting that Gurukul National Institute and Management works to provide high-quality employment opportunities by maintaining collaborative relationships with leading government-recognized organizations and other relevant employers.
GNIM's placement support is intended to help eligible students transition from education and training into employment.
However, actual employment depends on successful completion of the course, candidate eligibility, employer requirements, available vacancies, and the applicable recruitment or selection process. Any specific employment terms should be verified from the official GNIM admission and placement information applicable to the candidate.
How to Enroll / Admission Process
Interested candidates must apply through the official GNIM website.
Only Official Website: www.gnim.org
No Offline Application Has Been Received.
Candidates should use only the official GNIM website for submitting their application and obtaining admission-related information. Candidates are advised not to submit personal information or documents through unauthorized websites, agents, brokers, intermediaries, or unofficial portals claiming to represent GNIM.
Application Procedure
Interested candidates can apply online through the official GNIM website:
Candidates should visit the official website, review the applicable course eligibility and admission information, complete the online application form with accurate information, upload the required documents where applicable, and submit the application according to the instructions provided on the website.
Candidates should retain their application details and regularly check the official GNIM website for further admission-related updates.
Conclusion
The B.Sc. in Data Science provides an opportunity for students interested in Information Technology, programming, statistics, analytics, and data-driven careers to develop a strong academic and practical foundation.
With training in programming, databases, statistics, data analysis, visualization, and emerging data science technologies, students can prepare themselves for a wide range of career opportunities in the growing data and technology ecosystem.
For eligible selected candidates, GNIM's program benefits include completely free education, free hostel accommodation, a monthly stipend of Rs. 10,000, and an annual scholarship of Rs. 40,000 for each year of the program, subject to the applicable terms and conditions.
Call to Action Contact
For Admission and Course Information
Gurukul National Institute and Management
Official Website: www.gnim.org
Contact: +91 9093085089
WhatsApp Available
Candidates are advised to use only the official GNIM website for online application and official admission information.



















































































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