B.Tech - CSE Data Science

Transform Data into Knowledge and Shape the Future of Innovation

About Course / Overview

  • Location - GHRSTU Nagpur
  • Duration -4 years (2 sem per year)
  • Course Type - Full time
  • Affiliated - UGC

The B.Tech in Data Science Engineering program merges domain expertise, programming skills, and advanced knowledge in mathematics and statistics to extract actionable insights from vast datasets. The course equips students with the tools to apply machine learning algorithms to diverse data types, including text, images, and audio, creating AI systems that perform tasks requiring human intelligence. The program emphasises the growing significance of data science across various sectors, including healthcare, business, IT, and more.

In a world where data drives decision-making, this course prepares students to manage and analyse large volumes of data, uncover hidden patterns, and leverage insights for strategic business advantage. The curriculum includes state-of-the-art tools and techniques in data visualisation, predictive modelling, and machine learning, offering hands-on experience with real-world applications.

Objectives of 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.

Future in 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.

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

Apply Now

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:

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).

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:
  • 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 that you will learn

  • Programming Languages: Python, R, SQL
  • Data Analysis Tools: Pandas, NumPy, Scikit-learn
  • Machine Learning Algorithms: Regression, Classification, Clustering
  • Data Visualization: Matplotlib, Seaborn, Tableau
  • Big Data Technologies: Hadoop, Spark

Careers

Job 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
Further Studies Options

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

  • 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
  • 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

FAQs

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.
Apply Now