About Course

The B.Tech in Mechanical Engineering provides information about the strongholds of mechanical engineering, which include Thermodynamics, Fluids, Material Science, Design and Manufacturing, and Machinery Operation. Topics include Mechanical Design, Manufacturing Processes, and Energy Systems.

This practical knowledge is taught in a well-equipped workshop by handling practical sessions, under which one is taught with brands like AutoCAD/CAM software, CNC machines, 3D printers, etc. There is learning through demonstrations with real-life applications that help students relate to what they have learned in theory.

The course is designed to prepare students with the skill of applying systematic analysis, synthesis, and solutions to engineering problems. The traditional engineering mixed with modern mechanical engineering technology prepares the graduates for established industries like automotive, aerospace, manufacturing, and energy industries to meet current market needs.

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Objectives of the Program

  • Develop a strong foundation in core mechanical engineering concepts, including Mechanics, Thermodynamics, and Fluid Dynamics.
  • Equip students with advanced knowledge of modern product design and manufacturing techniques, including CAD/CAM tools and simulations.
  • Cultivate problem-solving and analytical skills to tackle real-world engineering challenges with innovation and efficiency.
  • Prepare students for leadership and professional growth by fostering teamwork, communication, and project management abilities.

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Future of Mechanical Engineers

The global mechanical services market is projected to grow at a CAGR of 4.7% from 2022 to 2032, reaching approximately USD 14.9 billion by 2032.

In the United States, employment for mechanical engineers is expected to grow by 10% between 2022 and 2032, indicating a robust demand for professionals in this field.

India's automotive market is forecasted to grow by USD 53.3 billion between 2023 and 2028, at a CAGR of 7.46%, presenting significant opportunities for mechanical engineers.

The integration of IoT, automation, and Industry 4.0 in manufacturing is creating new avenues for mechanical engineers, emphasising the need for skills in advanced technologies.

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

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.

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

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