B.Tech in
Data Science

Transform Data into Knowledge and Shape the Future of Innovation

4 Years Full Time
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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.

ICT-enabled smart classrooms

MoUs with various organisations.

Incubation centre for financial support in innovative projects and startups.

Nodal Center of Virtual Lab.

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

    • 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.
    • 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

Registration and Verification:
  • The Centralised Admission Process (CAP) is mandatory for both the CAP and the Institute Level Quota (ILQ) seat categories, and it is necessary to enrol to be considered for a seat in either category.
  • For document verification and scrutiny at the Facilitation Centres/ e-Scrutiny Centres, please follow the guidelines/proceedings of the authority received after online registration.
  • Only those candidates whose applications are verified by the Facilitation Centers/e-Scrutiny Center shall be eligible in the displayed merit list.
A) CAP Round Admission:
  • The admission through CAP rounds makes up 80% of the total number of seats and is done per guidelines provided by the SCET Cell, Government of Maharashtra. Additional information can be obtained from the official website: https://cetcell.mahacet.org/
  • Form Filling Guide: To read how to fill out this form, please click the following link.
Access it Here
B) Institute Level Quota Admission:
  • The percentile rank of the SCET Cell, MHT-CET or JEE (Main) score determines the merit number for the ILQ of 20 percent while preparing the Institute level merit list (PCML/FCML).
Prerequisite Documents:

Original documents and FOUR sets of attested photocopies are required at the time of admission:

  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
  • HSC Marksheet
  • SSC Marksheet
  • CAP Final Merit Number Document
  • Passing Certificate / Board Certificate of Std. 10th / SSC
  • MHT-CET 2023 Score Card
  • JEE (Main) 2023 Score Card
  • Nationality Certificate
  • Domicile Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)
  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
If Applicable Documents:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for boards other than M.S. Board / from RTMNU)
  • Eligibility Certificate (for other than M.S. Board; must be submitted within ten days from the date of admission)
  • Certificates in Proforma A, B, C, D, E, G, J, K, L, U & V, etc.
  • Income Certificate
  • Gap Certificate
  • Three Photographs
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Technical Skills Acquired

Software :
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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

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