B.Tech in Data Science

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DATA SCIENTIST

B.Tech in Data Science

Sector: Information Technology

Gurukul National Institute and Management

Introduction

The B.Tech in Data Science is a technology-focused undergraduate engineering program designed for students who want to build a professional career in Data Science, Artificial Intelligence, Machine Learning, Data Analytics, and related areas of Information Technology.

The program combines engineering fundamentals with mathematics, statistics, programming, databases, data analytics, machine learning, artificial intelligence, and practical project-based learning. It is designed to help students understand how large volumes of data can be collected, processed, analyzed, and transformed into useful information for business, technology, research, and organizational decision-making.

What is the Course?

The B.Tech in Data Science is an undergraduate engineering degree that focuses on the technologies and analytical methods used to work with data.

Students learn programming and computational techniques along with statistical methods and modern data science technologies. The program can provide a foundation for working with structured and unstructured data and for developing data-driven solutions.

The course may also introduce students to areas such as machine learning, artificial intelligence, big data, cloud computing, data visualization, and predictive analytics.

Definition and Purpose

Data Science is an interdisciplinary field that combines computer science, mathematics, statistics, programming, and analytical techniques to extract meaningful information and insights from data.

The primary purpose of the B.Tech in Data Science program is to develop technically skilled graduates who can understand data-related problems and use appropriate computational and analytical techniques to address them.

The program aims to develop both theoretical knowledge and practical skills so that students can progress toward careers in data science, analytics, artificial intelligence, machine learning, software development, and other technology-oriented fields.

Course Curriculum

The curriculum generally progresses from fundamental engineering and computing concepts to specialized Data Science subjects.

Students may study programming, mathematics, statistics, algorithms, databases, data structures, computer systems, data analysis, data visualization, machine learning, artificial intelligence, big data technologies, and cloud computing.

Practical laboratory work, assignments, projects, seminars, and industry-oriented activities may form an important part of the academic program.

The exact semester-wise curriculum may vary according to the applicable university, academic authority, and program regulations.

Subjects Covered

Major areas of study may include:

Engineering Mathematics

Probability and Statistics

Programming Fundamentals

Python Programming

Data Structures and Algorithms

Object-Oriented Programming

Database Management Systems

SQL and Database Systems

Computer Organization

Operating Systems

Computer Networks

Software Engineering

Data Mining

Data Analytics

Data Visualization

Machine Learning

Artificial Intelligence

Deep Learning Fundamentals

Big Data Analytics

Cloud Computing

Natural Language Processing Fundamentals

Business Intelligence

Predictive Analytics

Data Science Laboratory

Machine Learning Laboratory

Artificial Intelligence Laboratory

Project Work

Industry-Oriented Training

The specific subjects and academic structure may differ according to the applicable university curriculum.

Practical Training

Practical training is an important part of developing professional Data Science skills.

Students can gain hands-on experience with programming languages, databases, datasets, analytical tools, visualization techniques, and machine learning concepts.

Practical activities may include collecting and preparing datasets, removing data inconsistencies, performing exploratory data analysis, writing SQL queries, developing analytical programs, creating charts and dashboards, applying statistical methods, and developing introductory machine learning models.

Project-based learning can help students understand how Data Science is applied to practical problems in areas such as business, finance, healthcare, retail, manufacturing, education, transportation, and technology.

Eligibility Criteria

Eligibility requirements for admission to the B.Tech in Data Science program may vary according to the applicable university, regulatory authority, and academic session.

Candidates should verify the current eligibility conditions and admission requirements before submitting an application.

Who Can Enroll?

The program can be suitable for students who:

Have an interest in computers and Information Technology

Want to develop programming skills

Are interested in mathematics, statistics, and analytical problem-solving

Want to learn about Artificial Intelligence and Machine Learning

Wish to build a career in Data Science and Data Analytics

Want to pursue technology-oriented employment opportunities

Are interested in working with data and developing data-driven solutions

Age Limit

The applicable age limit and relaxation provisions, if any, will be determined according to the admission rules applicable to the particular academic program.

Candidates should verify the current admission notification before applying.

Educational Qualifications

Candidates must satisfy the educational qualification requirements prescribed by the applicable university or academic authority for admission to the B.Tech in Data Science program.

Depending on the applicable admission regulations, candidates may be required to have completed higher secondary education with specified subjects and to satisfy the prescribed entrance or admission requirements.

Candidates should verify the current academic eligibility requirements before submitting their application.

Benefits of the Data Scientist Course

The B.Tech in Data Science can provide students with an opportunity to develop a combination of engineering, programming, mathematical, statistical, and analytical skills.

Under the applicable GNIM program provisions and subject to eligibility and other conditions, selected candidates can receive the following benefits.

Completely Free Course

The course is offered completely free of charge to eligible selected candidates under the applicable GNIM program provisions.

Free Hostel Accommodation

Free hostel accommodation is provided to eligible candidates during the course, subject to 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 awarded for each year of the program, subject to applicable scholarship rules and eligibility conditions.

Employment Opportunity

Following successful completion of the course, eligible candidates may receive employment opportunities through GNIM's placement and industry-linkage initiatives.

Employment is subject to successful course completion, candidate eligibility, employer requirements, available vacancies, and the applicable recruitment or selection process.

Career Opportunities

After completing a B.Tech in Data Science and developing the required technical skills, graduates can explore career opportunities in areas such as:

Data Scientist

Junior Data Scientist

Data Analyst

Data Science Associate

Machine Learning Engineer

Artificial Intelligence Engineer

Business Intelligence Analyst

Data Engineer

Data Analytics Engineer

Business Data Analyst

Big Data Analyst

Data Mining Analyst

Predictive Analytics Associate

Research Analyst

Machine Learning Associate

AI and Data Science Associate

Career progression may depend on academic qualifications, technical skills, specialization, experience, certifications, and employer requirements.

Skill Development

The program can help students develop a broad range of technical and professional skills, including:

Programming

Python

SQL

Data Structures and Algorithms

Database Management

Statistical Analysis

Data Cleaning

Data Processing

Data Visualization

Machine Learning

Artificial Intelligence

Predictive Analytics

Big Data Concepts

Cloud Computing Fundamentals

Problem Solving

Analytical Thinking

Research Skills

Project Development

Technical Documentation

Communication and Presentation Skills

These skills can provide a foundation for further specialization and professional development in Data Science and related technology fields.

Why Choose GNIM for this Course?

Gurukul National Institute and Management focuses on career-oriented education and skill development for eligible candidates.

The B.Tech in Data Science program provides an opportunity to study an important area of Information Technology while developing programming, analytical, computational, and data-oriented skills.

Subject to the applicable program terms and eligibility conditions, GNIM provides important candidate benefits including 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.

The program also emphasizes practical learning and employment-oriented preparation so that students can develop skills relevant to the modern technology sector.

Placement Confirmation

It is worth noting that Gurukul National Institute and Management offers employment opportunities through collaborative relationships with leading government-recognized organizations and other relevant employers.

GNIM's placement initiatives are intended to assist eligible candidates in progressing from academic education and practical training toward employment.

Employment opportunities are subject to successful completion of the course, candidate eligibility, employer requirements, available positions, and the relevant recruitment or selection process.

Candidates should verify specific placement details and employment conditions through official GNIM information applicable to their program and admission session.

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 application and admission-related information.

Candidates should not submit applications, personal information, documents, or payments 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:

www.gnim.org

Candidates should visit the official website and review the applicable course information and eligibility requirements.

Eligible candidates should complete the online application form accurately and provide the required information and documents according to the instructions provided on the official website.

After submitting the application, candidates should retain their application details and regularly check the official GNIM website for admission-related updates and further instructions.

Conclusion

The B.Tech in Data Science is designed for students who want to build a strong foundation in engineering, programming, statistics, data analytics, Artificial Intelligence, Machine Learning, and modern data technologies.

The program can open pathways toward a variety of technology-oriented careers, including Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, Data Engineer, Business Intelligence Analyst, and other related positions.

For eligible selected candidates, the GNIM program provides significant educational and financial support, including completely free course provisions, 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.

Students interested in building a career in the rapidly developing field of Data Science can apply through the official GNIM website and follow the applicable admission procedure.

Call to Action Contact

Gurukul National Institute and Management

Official Website: www.gnim.org

Contact: +91 9093085089

WhatsApp Available

For online application and official admission information, candidates should use only the official GNIM website.