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B.Sc. Data Science

CURRICULUM BASED ON NEP 2020 GUIDELINES

Why choose B.Sc. Data Science?

  • Strong foundation in statistics, mathematics, programming, and data science.
  • Industry-focused curriculum designed with expert collaboration.
  • Real world applications of data science principles
  • Hands-on learning using modern tools and technologies
  • Development of critical thinking, problem solving and teamwork skills

Eligibility

  • Passed 12th in Science stream or an equivalent exam.
  • Completed a 3-year Diploma course after 10th from the Government of Maharashtra or an equivalent board.
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Admission Process

Step – 1

Fill Application Form

Step – 2

Check General List and report discrepancies, if any.

Step – 3

Check schedule for Table admission round

Step – 4

if eligible for Table admission round, remain present in college with all relevant documents, original and photocopy.

Step – 5

once document verification is done according to merit, fill admission form, select courses from other categories and pay admission fees.

Career Opportunities

Core Career Roles

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Data Analyst

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Machine Learning Engineer, Data Scientist (Entry Level)

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Data Engineer, Data Consultant

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Al/Deep Learning Engineer Data

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Visualization Specialist Business analyst

Company Domains

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IT and Technology

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Finance

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Healthcare

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Ecommerce, Entertainment

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Government sector

Course Structure

First Year

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Python Programming, Data Engineering, Database Management Systems, Foundation in Statistics and Mathematics:

Second Year

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DSA Fundamentals of Date Science, Python Framework Tools, Advanced Statistics and Mathematics for Data Science

Third Year

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Wiliadied Machine Learning, Artificial intelligence, Data Security, Analytics in Busines / Finance / Healthcare

Placements & Skill Development

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Placements and Skill Development
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Data Science Club
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Preplacement Activities
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rect Skillland Personally Development

Program Highlights

 

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Industry-driven comprehensive curriculum
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In depth knowledge of core subjects in statistics, Mathematics,
data science
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Experiential Learning on latest technologies by industry experts
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Career guidance and assistance
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Mentoring by academic and industry experts,
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well equipped Laboratory
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Innovative learning methods and problem- solving environments
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