Transform Data into Insights, Power the Future!

3 Years Full Time
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About Course

The B.Tech in Data Science program at Raisoni Education provides a strong foundation in machine learning, artificial intelligence, big data, and analytics. This four-year course blends computer science, mathematics, and statistics with hands-on training in tools like Python, R, SQL, TensorFlow, and Hadoop.

With industries relying heavily on data-driven decisions, this program prepares students to extract insights, develop AI models, and build scalable data solutions. The curriculum includes real-world projects, internships, and industry collaborations, ensuring students are job-ready. Graduates can explore careers in data science, AI, business intelligence, and automation across various industries like finance, healthcare, e-commerce, and cybersecurity. Whether it's predictive analytics, AI-driven automation, or big data infrastructure, this course equips students with the expertise to lead in the data-driven era. Join Raisoni Education and shape the future with data-driven innovations!

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Objectives of the Program

  • Equip students with expertise in data analytics, machine learning, artificial intelligence, and big data technologies.
  • Provide hands-on experience with industry-relevant tools like Python, R, SQL, TensorFlow, Hadoop, and Power BI.
  • Foster problem-solving and analytical thinking to tackle real-world challenges in data science.
  • Ensure practical exposure through projects, internships, and industry collaborations, making students job-ready.

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

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Key Details

Three-years (3) 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 Engineers:

Industry Growth

India’s data science and AI industry is projected to reach ₹2,00,000+ crores by 2030, with rapid adoption across sectors.

Job Opportunities

The Indian data science market is expected to create 15+ lakh job openings by 2027, with high demand for data scientists, AI engineers, and analysts.

Global Market Expansion:

The global data science and AI market is projected to grow at a CAGR of 27% by 2026, driving demand for skilled professionals.

Eligibility

  • Maharashtra State Candidates:
    • The candidate must have passed HSC in physics and mathematics and any one of the subjects –chemistry/biology/biotech/technical/vocational.
    • At least 50% Marks in their respective examinations, 45% for reserved categories.
    • Valid MHT-CET 2020 or non-zero positive JEE MAIN score.
    • Otherwise, a Diploma in Engineering with 45% marks (40% for the reserved categories) is also acceptable.
    All India and UT Candidates:
    • Same as the above given for Maharashtra State candidates.
    • Preference for any non-zero positive score in JEE MAINS over MHT-CET score.
    NRI/OCI/PIO/Foreign Nationals:
    • Successful completion of HSC or equivalent in physics, math, and any other additional subject.
    • The student must have passed these subjects with a minimum of 45 percent marks.
    • They must also fulfil some requirements that the authority deems necessary to be met.
  • Indian Nationals:
    • SSC/HSC and Diploma in Engineering passed with at least 45% (40% for reserved categories).

    OR

    • B.Sc. with 45 percent marks and HSC with mathematics as a preferred subject. Engineering Graphics/Mechanics is required and, therefore, needs to be passed if need be.

    OR

    • D.Voc. Stream in the same or allied sector. Bridge courses may apply.
    All Candidates:

    Additional conditions have to be fulfilled according to the authority's statement.

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 Centres/e-Scrutiny Centre shall be eligible in the displayed merit list.
A) CAP Round Admission:
  • Allocation: 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).
Required 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
  • Latest MHT-CET Score Card
  • Latest JEE (Main) 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
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Tools

  • python
  • java
  • mysql
  • java
  • git
  • visual studio
  • linux
  • html
  • react

Career Opportunities

Entry Level
  • Data Analyst
  • Junior Data Scientist
  • Machine Learning Intern
  • AI Research Assistant
Mid Level
  • Data Scientist
  • Machine Learning Engineer
  • Data Engineer
  • AI Solutions Architect
Senior Level
  • Lead Data Scientist
  • Senior Machine Learning Engineer
  • Director of AI and Data Science
  • Chief Data Officer (CDO)

Future Studies

There are several postgraduate programs and degrees you can pursue after completing a B.Sc. in Computer Science, which are as follows:

Master of Arts (M.A.)
Master of Science (M.Sc.)
Master of Philosophy (M.Phil.)
Master of Business Administration (MBA)
Master of Statistics (M.Stat.)
Specialised Courses

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FAQ

What does the qualification cover?

The B.Tech in Data Science covers areas like machine learning, artificial intelligence, big data analytics, data mining, and statistical modelling, combining both theoretical foundations and practical applications in data-driven technologies.

Entry-level Data Science Engineers earn between ₹5 Lakh to ₹8 Lakh per year, with salaries increasing significantly with experience, specialisation in machine learning, AI, and proficiency with big data technologies. Entry-level Data Science Engineers earn between ₹5 Lakh to ₹8 Lakh per year, with salaries increasing significantly with experience, specialisation in machine learning, AI, and proficiency with big data technologies.

Key skills include data analysis, machine learning algorithms, statistical modelling, data visualisation, SQL, Python, R, TensorFlow, and Hadoop.

Students must complete Class 12 (PCM) and clear entrance exams like JEE Main, MHT-CET, or other university-level tests for admission into B.Tech Data Science programs.

Graduates can pursue careers as Data Scientists, AI Engineers, Machine Learning Engineers, Data Analysts, or Business Intelligence Analysts in diverse sectors like finance, healthcare, e-commerce, and cybersecurity.

The program includes written exams, lab work, hands-on projects, internships, and research-based assignments, ensuring a comprehensive mix of theoretical and practical learning.

Certifications in Machine Learning, AI, Data Analytics, Deep Learning (like Google AI, AWS Certified Machine Learning, or Data Science Certification by IBM) add value to career prospects.

Specialised skills in Deep Learning, Natural Language Processing (NLP), Big Data Technologies (Hadoop, Spark), and AI Research offer higher salary packages.

Data Science Engineers are in demand in industries like finance, healthcare, e-commerce, cybersecurity, automotive, and energy.

Yes, Data Science Engineers are in demand for energy forecasting, smart grid optimisation, and developing AI-driven solutions for sustainable energy management.

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

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