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
Data Analyst
Machine Learning Engineer, Data Scientist (Entry Level)
Data Engineer, Data Consultant
Al/Deep Learning Engineer Data
Visualization Specialist Business analyst
Company Domains
IT and Technology
Finance
Healthcare
Ecommerce, Entertainment
Government sector
Course Structure
First Year
Python Programming, Data Engineering, Database Management Systems, Foundation in Statistics and Mathematics:
Second Year
DSA Fundamentals of Date Science, Python Framework Tools, Advanced Statistics and Mathematics for Data Science
Third Year
Wiliadied Machine Learning, Artificial intelligence, Data Security, Analytics in Busines / Finance / Healthcare
Placements & Skill Development
Placements and Skill Development
Data Science Club
Preplacement Activities
rect Skillland Personally Development
Program Highlights
Industry-driven comprehensive curriculum
In depth knowledge of core subjects in statistics, Mathematics,
data science
data science
Experiential Learning on latest technologies by industry experts
Career guidance and assistance
Mentoring by academic and industry experts,
well equipped Laboratory
Innovative learning methods and problem- solving environments