• Home
  • Programs
  • B.Tech - Computer Science Engineering in Data Science

Transform Data into Knowledge and Shape the Future of Innovation

4 Years Full Time
Download Brochure Apply Now icon

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.

Read More
Kimba

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

Apply Now

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

Admission Procedure

  • Admission notification for the current session will be published by the University on the website, in newspapers, on university notice boards, and through appropriate media along with the schedule of admissions.
  • Aspiring candidates can apply for admission through online mode by visiting our website or through offline mode by directly reporting to the university.
  • Applications received will be scrutinized based on the eligibility criteria, and candidates will be shortlisted on the basis of merit. The merit list will be displayed on the website and university notice boards, and students will be informed telephonically well before the cutoff date for admission.
  • Shortlisted students will be provisionally admitted to the allotted course after completing the necessary formalities of fee payment and document submission.
  • The application form of the candidate may be rejected due to any of the following reasons:
    • Failing to fulfill the eligibility criteria
    • Failure to pay the prescribed fees for the course
    • Incomplete application form
    • Supporting documents not enclosed or found unauthentic
  • Enrollment/Registration numbers will be allotted by the university to the provisionally admitted candidates.
  • Students are required to abide by the rules and regulations framed by the university from time to time.

Note: G H Raisoni Skill Tech University, Nagpur, does not demand any capitation fees or donations and does not appoint any agents or external consultancy for admissions.

Documents Required
  • HSC Marksheet
  • SSC Marksheet
  • Passing Certificate/Board Certificate of Std. 10th/SSC
  • RUCET/CET/JEE Scorecard (if any)
  • MHT-CET 2023 Scorecard / JEE (Main) 2023 Scorecard (if any)
  • Nationality Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)

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

View More
View More
View More
View More
View More
View More
View More
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.

Kimba

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

Apply Now