B.Tech - Computer Science Engineering in Data Science University in Nagpur

About Course

This B.Tech in Data Science course is designed to enable students to acquire expertise in analysing and understanding large datasets to yield real insights. In this course, we merge the core principles of mathematics, statistics, programming, and domain knowledge into it and show students how to solve complicated real-world problems using data-driven methods.

What students will learn while working with different types of data, such as text, images, or audio, is machine learning, data visualisation, and predictive analytics. It has a hands-on curriculum teaching how to use modern tools and frameworks to solve the types of problems encountered in these industries (healthcare, finance, IT, etc.). Against a backdrop of companies seeking data-driven leadership, our program trains graduates with the competence to govern, analyse, and turn big data into actionable strategies that power innovation and success in the world that operates based on data.

Objectives of the Program

Develop a foundational understanding of data science principles, including statistics, data analysis, and machine learning.
Master programming languages and tools for data manipulation and analysis, such as Python, R, and SQL.

Gain expertise in building and deploying machine learning models to solve complex problems and generate actionable insights.
Understand and apply data visualisation techniques to effectively communicate findings to stakeholders.
Stay updated with emerging trends in data science, including AI and big data technologies.

Study at University for a successful future & drive your career in the right direction with our B.Tech in Computer Engineering Programs

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Future of CSE [Data Science]

The Indian data science market is expected to grow from USD 4.3 billion in 2023 to USD 15.4 billion by 2026, with a CAGR of 28.3% during the forecast period.

By 2025, India is projected to have a demand for over 2.5 lakh data science professionals, driven by

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.

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.

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/

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).

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:

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

Core Skills

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

B.Tech Data Science graduates have several opportunities for advanced studies, including:

Master of Technology (M.Tech)

in Data Science, Machine Learning, or Artificial Intelligence

Master of Business Administration (MBA)

with a focus on Business Analytics

Master of Science (MSC)

in Data Analytics, Computational Statistics, or related fields

PhD (Doctor of Philosophy)

) for research-focused careers in Data Science and related domains

Specialised Courses

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

Course Available at College

Top Recruiters

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.

Applications of admission are now
open for academic year 2024-2025

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Registrar Office

Approvals

Committees

Transform Data into Knowledge and Shape the Future of Innovation