B.Tech in Data Science | GHRU Amravati

About Course

The structure of the B.Tech in Data Science Engineering program combines business and technical knowledge together with coding abilities and extensive mathematical and statistical knowledge to make data-driven decisions from large pools of data. The course enables students to design solutions based on machine learning algorithms for every type of data handling: text, image, and voice, to develop artificial intelligence systems for solving computational problems that are beyond people’s capabilities. Sustainable development also lies at the core of the program as data science becomes increasingly relevant as a subject area in healthcare, business, information technology, and many more fields.

In a world where data is the new oil, this course equips students to handle big data, look for patterns, and use such patterns optimally for business. The program is designed to cover the most relevant techniques of data visualisation, predictive modelling, and machine learning and allows students to practice on real-life projects.

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Objectives of the Program

Develop a strong foundation in data science principles, encompassing statistics, data analysis, and machine learning.
Master key programming languages and tools for data manipulation and analysis, such as Python, R, and SQL.

Gain expertise in designing and deploying machine learning models to solve complex real-world problems and generate actionable insights.
Understand and apply advanced data visualisation techniques to effectively present findings to diverse stakeholders.
Stay informed on the latest trends and advancements in data science, including artificial intelligence (AI) and big data technologies.

Study at Raisoni for a successful future & drive your career in the right direction with our B.Tech in Data Science.

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Key Details

Four Year (4) course with two semesters in a year.

GHRU Amravati

ICT-enabled smart classrooms

GHRU Amravati

MoUs with various organisations.

GHRU Amravati

Incubation centre for financial support in innovative projects and startups.

GHRU Amravati

Nodal Center of Virtual Lab.

GHRU Amravati

NPTEL centre of IITM.

Future of Data Science

Smart Cities

The Indian data analytics market generated a revenue of ₹27,949 crore in 2023 and is expected to reach ₹2,12,864 crore by 2030, growing at a compound annual growth rate (CAGR) of 33.6% from 2024 to 2030.

Housing Boom

By 2025, India is projected to require approximately 15 lakh data science professionals, reflecting a significant gap between demand and supply.

Mega Projects

Data science roles are among the fastest-growing in India, with companies across sectors such as finance, healthcare, and e-commerce expanding their data science teams to leverage insights and drive strategic decisions.

Eligibility

First-Year Engineering
- Candidates must have completed their HSC (12th standard) with qualifications from a recognised board.
- They should have pursued the science stream, including Physics, Chemistry, and Mathematics as mandatory subjects, achieving a minimum of 45% for open-category students and a minimum of 40% for reserved-category students.
- They must have qualified for the Maharashtra Common Entrance Test (MHTCET) or Joint Entrance Examination (JEE) with a non-zero positive score. We also accept SAT Score.
Direct Second Year Engineering
- The candidate must be an Indian National and should have passed an SSC or HSC Diploma Course in Engineering / Technology with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) in the appropriate branch of Engineering / Technology from an AICTE-approved institution with English as the medium of instruction at diploma level.
OR
- The Candidate must be an Indian National and should have passed a B.Sc. degree from a UGC/Association of Indian Universities recognised university with at least 45% marks (40% marks in case of candidates of backward class categories and persons with disabilities belonging only to Maharashtra State) and passed XII standard examination with mathematics as the subject and with English as the medium of instruction at B.Sc. level.
- Note: The students belonging to the B.Sc. stream shall only be considered after filling the seats in this category with students belonging to the Diploma Stream. Students belonging to the B.Sc. stream are required to pass the subjects of Engineering Graphics/Engineering Drawing and Engineering Mechanics of the first-year Engineering program along with the second-year subjects.

Admission Procedure

1

The University will issue admission notifications regarding the Raisoni University Common Entrance Test (RUCET) in newspapers, on the University’s website, on the University notice board, and through other publicity media before the commencement of the academic year. This entrance examination is mandatory for admission. However, candidates who have appeared for a government-recognised entrance examination are also eligible, as per University guidelines.

2

The list of candidates provisionally selected for admission or shortlisted on the basis of merit will be displayed on the University notice board and the University website. Alternatively, students may be informed directly about their admission after the last date of application.

3

Candidates whose results of the qualifying examinations are awaited may also apply. They will be admitted provisionally. However, such candidates must produce the previous year’s mark sheet and School or College certificates as proof of meeting the required eligibility criteria before the due date, failing which the provisional admission will not be granted. The admitted candidate must present the mark sheet of the qualifying examination within one month from the due date of entry, failing which the provisional admission shall be cancelled.

4

If a candidate admitted provisionally as mentioned above does not obtain the required marks to fulfil the eligibility criteria for admission, the provisional admission granted shall be cancelled.

5

The application form may be rejected for any of the following reasons:

The candidate does not fulfil the eligibility criteria.
The prescribed fee has not been enclosed.
The application form has not been signed by the candidate and their parent or guardian, wherever required.
Supporting documents required for admission have not been enclosed.

6

An enrolment or registration number will be assigned to the student by the University after verification and submission of all necessary documents and fees.
Admission rules as framed by the University shall be applicable to all admissions from time to time.

Technical Skills Acquired

Software :

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Recruiters | GHRU Amravati

Recruiters | GHRU Amravati

Recruiters | GHRU Amravati

Recruiters | GHRU Amravati

Recruiters | GHRU Amravati

Skills :

Programming Languages:
Data Analysis Tools
Machine Learning Algorithms
Data Visualization
Big Data Technologies
Deep Learning
Natural Language Processing (NLP)

Career Opportunities

Entry Level

Data Analyst
Junior Data Scientist
Business Intelligence Analyst
Data Engineer

Mid Level

Data Scientist
Machine Learning Engineer
Data Architect
Business Analytics Consultant

Senior Level

Senior Data Scientist
Lead Data Scientist
Chief Data Officer
Data Science Manager

Future Studies Options

M.Tech (Master of Technology)

In Data Science, Machine Learning, or Artificial Intelligence

MS (Master of Science)

In Data Analytics, Computational Statistics, or related fields

MBA (Master of Business Administration)

with a focus on Business Analytics

Ph.D. (Doctor of Philosophy)

for research-focused careers in Data Science and related domains

Specialised Certifications and Courses

In areas such as Big Data Technologies, Predictive Analytics, and Data Engineering

FAQ

What does the qualification cover?

A B.Tech in Data Science covers a comprehensive curriculum including data mining, machine learning, statistical analysis, data visualisation, and big data technologies. The program equips students with skills to analyse and interpret complex data and apply these insights in various industries.

The starting salary for Data Science graduates in India typically ranges from ₹3 to ₹6 lakhs per annum, depending on the company, location, and individual skills. Salaries can rise significantly with experience and expertise in the field.

Essential technical skills include proficiency in programming languages such as Python and R, understanding of statistical methods, experience with data visualisation tools, knowledge of machine learning algorithms, and familiarity with big data technologies like Hadoop and Spark.

To be eligible for admission to a B.Tech in Data Science, candidates generally need to have completed their 12th grade with a strong background in mathematics and science. They must also pass an entrance exam such as JEE Main, MHT-CET, or a similar test as required by the institution.

Career opportunities include roles such as data analyst, machine learning engineer, data scientist, business intelligence analyst, and data engineer. Graduates can work in diverse sectors such as technology, finance, healthcare, and more.

The course is typically assessed through a combination of written exams, practical assignments, projects, and presentations. Continuous assessment through lab work and coursework also plays a significant role in evaluating student performance.

Useful certifications include those in specific technologies and skills such as Google Professional Data Engineer, AWS Certified Data Analytics, Microsoft Certified: Azure Data Scientist Associate, and Certified Analytics Professional (CAP).

Skills and languages that often command higher salaries include expertise in machine learning and artificial intelligence, proficiency in Python and R, experience with big data platforms (e.g., Hadoop, Spark), and advanced skills in data visualisation and analytics.

Data Scientists play a crucial role in transforming raw data into actionable insights. They develop algorithms, conduct statistical analysis, and use machine learning models to help organizations make data-driven decisions and solve complex business problems.

Yes, Data Science is accessible to students from diverse educational backgrounds. A strong foundation in mathematics and statistics, along with programming skills, is important. Many institutes offer preparatory courses to help non-CS students transition into the field.

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Applications of admission are now
open for academic year 2025-2026

Apply Now

MIGS-2025

MIGS-2026