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    Home » Important facts about BTech in Data Science that every Student Should Know
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    Important facts about BTech in Data Science that every Student Should Know

    John SmithBy John Smith25 April 2024No Comments6 Mins Read
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    As the technological agenda outgrows with new techno-comers, the students of this decade get to delve into a wide range of techno-facets, and one such facet is data science.

    The Data Science sector is valued at USD 95.3 billion in 2021 and has unfurled incredible career opportunities for students, and this has persuaded a huge student population to dive into data science courses at top data science colleges in Mumbai and others.

    Are you too considering taking up data science education?

    If yes, then get to know about the best data science course, i.e., BTech in Data Science at the best BTech Data Science colleges in India via this blog.

    Table of Contents

    Toggle
    • Top 8 particulars for you to know about BTech in Data Science Course:
      • Eligibility Criteria:
      • Duration and Course Module:
      • Admission Procedure:
      • Syllabus:
      • Required Skills:
      • Industry Value:
      • Career Options:
      • Higher Education Options:
    • Conclusion:
        • FAQs:

    Top 8 particulars for you to know about BTech in Data Science Course:

    Every student needs to know certain credentials about their desired course before choosing it. Accepting this statement, this blog will help data science-interested students to know the essential information about BTech in Data Science at top data science colleges in Maharashtra and others.

    Eligibility Criteria:

    The fundamental information for you to know about BTech in Data Science course is its eligibility criteria to analyse whether you fit for the course.

     

    Here are the basic eligibility criteria to pursue a BTech in Data Science course at the best university in Mumbai or others are as follows:

    • Candidates should have completed a 10+2 with physics, chemistry, and mathematics as compulsory subjects and one optional science subject.
    • Candidates should have scored a minimum of 50% aggregate in 10+2.

    Duration and Course Module:

    Following the eligibility criteria, you have to know about the duration of the course and its module.

     

    BTech in Data Science course at the best university in Mumbai and others is provided for a duration of 4 years. This course is made up of 8 semesters in total which include theoretical and practical sessions for students to learn every aspect of data science.

    Admission Procedure:

    In planning to pursue a BTech in Data Science, it is essential to know the admission requirements for the same.

     

    In general, admission to BTech in Data Science at leading data science colleges in Mumbai and others is provided on merit basis or entrance exam basis.

     

    Merit-based Admission Merit-based admission is provided by considering the 10+2 score.
    Entrance Exam-Based Admission Entrance Exam-Based Admission considers entrance exams such as JEE Mains, etc while certain other colleges conduct their own entrance exams and personal interview.

    Syllabus:

    As a student, you need to know what you will learn when pursuing a course.

     

    Here is the syllabus of the BTech in Data Science course.

     

    Semester I Semester II
    ●       Introduction to Psychology and Business

    ●       Principles of Economics

    ●       SMART Project+LDP

    ●       Statistics&probability-1

    ●       Fundamentals of New Age Technologies

    ●       Fundamentals of Computer Science

    ●       Data analytics and visualization with Excel and R

    ●       Business Law & Ethics

    ●       Personality development &  effective communication

    ●       Intro to SDG, Innovation & Entrepreneurship

    ●       Database management System (No SQL & SQL)

    ●       Statistics & Probability-2

    ●       Elective UAIU

    ●       SQL-NoSQL, Relational Database Fundamentals & Data Analyst

     

    Semester III Semester IV
    ●       Introduction to Business Analytics

    ●       Optimization & Decision analysis

    ●       CMAPS+LDP

    ●       Data Visualization (Power BI/ Tableau/ Open source) (Business perspective with Storytelling)

    ●       Design Thinking and Innovation

    ●       Data analysis and visualization fundamentals & Foundation of AI

    ●       Advanced Statistical techniques (Multivariate analysis)

    ●       CMAPS+LDP

    ●       Software engineering

    ●       Python Programming for Data Analytics (including EDA)

    ●       Intro to Data warehousing and Decision support systems

    ●       Data Integration and Processing

     

     

    Semester V Semester VI
    ●       Ingenious technology and extended realities (IOT, AR, VR, MR, and Robotics)

    ●       Intro to Decision Science (w/o SAS) + SAS

    ●       INTERNSHIP

    ●       Advanced Analytics with Python (with Storytelling)

    ●       Operation Research

    ●       Big Data Analytics

    ●       AI in Sustainability

    ●       Capstone Project/Live Project

    ●       Research Project/Paper

    ●       Industry Practices, standards, and challenges

     

     

    Semester VII Semester VIII
    ●       Simulation Modeling

    ●       Pricing analytics for revenue Management

    ●       Digital innovation and transformation

    ●       Emerging Technologies in the Global Business Environment

    ●       Cloud Computing for AI/ML

    ●       On Job Training

    Required Skills:

    To pursue any course for your career, certain skills are expected and so is data science.

     

    Here are the skills that you need to pursue BTech in Data Science at top data science colleges in Mumbai and others.

    • Coding Skill
    • Programming Skills (C, C++, Java, etc)
    • Computer Knowledge
    • Problem Solving Skills
    • Analytical Skills

    Industry Value:

    Knowing the industry value of the data science industry will help you understand the career scope for BTech in Data Science courses pursued at leading data science colleges in Mumbai and others.

     

    Today, the data science industry is a massive industry at the global level with a global market value of USD 136.55 billion in 2022. This industry is expected to launch itself higher to reach a global market value of more than USD 1,750 billion by 2030.

     

    This significant growth is the external signal for positive career scope for data science courses.

    Career Options:

    Getting to know the available career options before choosing any course is intelligence.

     

    Here are the career options for BTech in Data Science course:

     

    Job Roles Average Salary in India(INR)
    Computer Vision Engineer 6.9 LPA
    Data Analyst 6.24 LPA
    Data Scientist 7.3 LPA
    Data Engineer 8.4 LPA
    Machine Learning Engineer 6.7 LPA
    Big Data Architect 24 LPA
    Business Intelligence Developer 6.3 LPA
    Robotics Programmer 3.45 LPA
    Software Engineer 6.94 LPA
    Information and Multimedia Designer 3.5 LPA
    Medical Information Scientist 5.0 LPA
    IT Specialist 7 LPA
    Information Network Manager 7.88 LPA

    Higher Education Options:

    After BTech Data Science at leading data science colleges in Mumbai and others, one can pursue the following higher education courses:

    • Tech in Artificial Intelligence
    • Tech in Data Science
    • Tech in Robotics
    • Tech in Computer Network Engineering
    • Sc in Artificial Intelligence
    • Sc in Data Science
    • Sc in Machine Learning

    Conclusion:

    With these, the most important facts about the BTech Data Science course are provided completely. Understand and analyse the facts to join the best data science colleges in Mumbai and others.

    FAQs:

    1) What is the qualification for data science engineering?

    The basic qualification required to pursue Data Science Engineering is to complete 10+2 with maths, physics, and chemistry as compulsory subjects with at least a 50% aggregate score.

    2) Is BTech data science hard or easy?

    BTech Data Science is a bit high in standard as it involves certain complex subjects that form the backbone of data science and it takes effort to learn.

    3) What skills does data science give you?

    • Statistical Analysis and Computing
    • Machine Learning
    • Programming
    • Data Wrangling
    • Database Management

    4) Is data science and AI the same?

    No, artificial intelligence and data science are not the same. Data Science involves the extraction of data while AI involves incorporating data to develop solutions with human comprehension.

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